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McGinty EE, Alegria M, Beidas RS, Braithwaite J, Kola L, Leslie DL, Moise N, Mueller B, Pincus HA, Shidhaye R, Simon K, Singer SJ, Stuart EA, Eisenberg MD. The Lancet Psychiatry Commission: transforming mental health implementation research. Lancet Psychiatry 2024; 11:368-396. [PMID: 38552663 DOI: 10.1016/s2215-0366(24)00040-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 04/19/2024]
Affiliation(s)
| | - Margarita Alegria
- Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Lola Kola
- College of Medicine, University of Ibadan, Ibadan, Nigeria; Kings College London, London, UK
| | | | | | | | | | - Rahul Shidhaye
- Pravara Institute of Medical Sciences University, Loni, India; Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands
| | | | - Sara J Singer
- Stanford University School of Medicine, Stanford, CA, USA
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Haines E, Shelton RC, Foley K, Beidas RS, Dressler EV, Kittel CA, Chaiyachati KH, Fayanju OM, Birken SA, Blumenthal D, Rendle KA. Addressing social needs in oncology care: another research-to-practice gap. JNCI Cancer Spectr 2024:pkae032. [PMID: 38676669 DOI: 10.1093/jncics/pkae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 04/22/2024] [Indexed: 04/29/2024] Open
Abstract
Social determinants of health and unmet social needs are directly related to cancer outcomes, from diagnosis to survivorship. If identified, unmet social needs can be addressed in oncology care by changing care plans in collaboration with patients' preferences and accounting for clinical practice guidelines (eg, reducing the frequency of appointments, switching treatment modalities) and connecting patients to resources within healthcare organizations (eg, social work support, patient navigation), and with community organizations (eg, food banks, housing assistance programs). Screening for social needs is the first step to identifying those who need additional support and is increasingly recognized as a necessary component of high-quality cancer care delivery. Despite evidence about the relationship between social needs and cancer outcomes and the abundance of screening tools, the implementation of social needs screening remains a challenge and little is known regarding the adoption, reach, and sustainability of social needs screening in routine clinical practice. We present data on the adoption and implementation of social needs screening at two large academic cancer centers and discuss three challenges associated with implementing evidence-based social needs screening in clinical practice: (1) identifying an optimal approach for administering social needs screening in oncology care, (2) adequately addressing identified unmet needs with resources and support, and (3) coordinating social needs screening between oncology and primary care.
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Affiliation(s)
- Emily Haines
- Department of Implementation Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, 27101, NC
| | - Rachel C Shelton
- Mailman School of Public Health, Department of Sociomedical Sciences, Columbia University, New York, 10032, NY
| | - Kristie Foley
- Department of Implementation Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, 27101, NC
| | - Rinad S Beidas
- Northwestern University Feinberg School of Medicine, 625 Michigan Avenue, Chicago, 60661, IL
| | - Emily V Dressler
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, 27101, NC
| | - Carol A Kittel
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, 27101, NC
| | - Krisda H Chaiyachati
- Perelman School of Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, 19104, PA
| | - Oluwadamilola M Fayanju
- Perelman School of Medicine, Department of Surgery, University of Pennsylvania, 3400 Spruce Street, Silverstein 4, Philadelphia, 19104, PA
| | - Sarah A Birken
- Department of Implementation Science, Wake Forest University School of Medicine, 525 Vine Street, Winston-Salem, 27101, NC
| | - Daniel Blumenthal
- Perelman School of Medicine, Department of Psychiatry, University of Pennsylvania, Philadelphia, 19104, PA
| | - Katharine A Rendle
- Perelman School of Medicine, Department of Family Medicine & Community Health, University of Pennsylvania, Philadelphia, 19104, PA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Philadelphia, 19104, PA
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Hodson N, Powell BJ, Nilsen P, Beidas RS. How can a behavioral economics lens contribute to implementation science? Implement Sci 2024; 19:33. [PMID: 38671508 PMCID: PMC11046816 DOI: 10.1186/s13012-024-01362-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Implementation science in health is an interdisciplinary field with an emphasis on supporting behavior change required when clinicians and other actors implement evidence-based practices within organizational constraints. Behavioral economics has emerged in parallel and works towards developing realistic models of how humans behave and categorizes a wide range of features of choices that can influence behavior. We argue that implementation science can be enhanced by the incorporation of approaches from behavioral economics. Main body First, we provide a general overview of implementation science and ways in which implementation science has been limited to date. Second, we review principles of behavioral economics and describe how concepts from BE have been successfully applied to healthcare including nudges deployed in the electronic health record. For example, de-implementation of low-value prescribing has been supported by changing the default in the electronic health record. We then describe what a behavioral economics lens offers to existing implementation science theories, models and frameworks, including rich and realistic models of human behavior, additional research methods such as pre-mortems and behavioral design, and low-cost and scalable implementation strategies. We argue that insights from behavioral economics can guide the design of implementation strategies and the interpretation of implementation studies. Key objections to incorporating behavioral economics are addressed, including concerns about sustainment and at what level the strategies work. CONCLUSION Scholars should consider augmenting implementation science theories, models, and frameworks with relevant insights from behavioral economics. By drawing on these additional insights, implementation scientists have the potential to boost efforts to expand the provision and availability of high quality care.
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Affiliation(s)
- Nathan Hodson
- Price School of Public Policy, University of Southern California, Los Angeles, USA.
- Warwick Medical School, Unit of Mental Health and Wellbeing, Division of Health Sciences, University of Warwick, Coventry, UK.
- Department of Medical Social Sciences, Feinberg School of Medicine Northwestern University, Chicago, USA.
| | - Byron J Powell
- Brown School, Center for Mental Health Services Research, Washington University in St. Louis, St. Louis, USA
- Center for Dissemination & Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, USA
- Division of Infectious Diseases, John T. Milliken Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, USA
| | - Per Nilsen
- Department of Health, Medicine, and Caring Sciences (HMV), Linköping University, Linköping, Sweden
- School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine Northwestern University, Chicago, USA
- Center for Dissemination and Implementation Science, Institute for Public Health and Medicine, Chicago, USA
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Johnson C, Chen J, McGowan MP, Tricou E, Card M, Pettit AR, Klaiman T, Rader DJ, Volpp KG, Beidas RS. Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial. Implement Sci 2024; 19:30. [PMID: 38594685 PMCID: PMC11003060 DOI: 10.1186/s13012-024-01355-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/25/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is a heritable disorder affecting 1.3 million individuals in the USA. Eighty percent of people with FH are undiagnosed, particularly minoritized populations including Black or African American people, Asian or Asian American people, and women across racial groups. Family cascade screening is an evidence-based practice that can increase diagnosis and improve health outcomes but is rarely implemented in routine practice, representing an important care gap. In pilot work, we leveraged best practices from behavioral economics and implementation science-including mixed-methods contextual inquiry with clinicians, patients, and health system constituents-to co-design two patient-facing implementation strategies to address this care gap: (a) an automated health system-mediated strategy and (b) a nonprofit foundation-mediated strategy with contact from a foundation-employed care navigator. This trial will test the comparative effectiveness of these strategies on completion of cascade screening for relatives of individuals with FH, centering equitable reach. METHODS We will conduct a hybrid effectiveness-implementation type III randomized controlled trial testing the comparative effectiveness of two strategies for implementing cascade screening with 220 individuals with FH (i.e., probands) per arm identified from a large northeastern health system. The primary implementation outcome is reach, or the proportion of probands with at least one first-degree biological relative (parent, sibling, child) in the USA who is screened for FH through the study. Our secondary implementation outcomes include the number of relatives screened and the number of relatives meeting the American Heart Association criteria for FH. Our secondary clinical effectiveness outcome is post-trial proband cholesterol level. We will also use mixed methods to identify implementation strategy mechanisms for implementation strategy effectiveness while centering equity. DISCUSSION We will test two patient-facing implementation strategies harnessing insights from behavioral economics that were developed collaboratively with constituents. This trial will improve our understanding of how to implement evidence-based cascade screening for FH, which implementation strategies work, for whom, and why. Learnings from this trial can be used to equitably scale cascade screening programs for FH nationally and inform cascade screening implementation efforts for other genetic disorders. TRIAL REGISTRATION ClinicalTrials.gov, NCT05750667. Registered 15 February 2023-retrospectively registered, https://clinicaltrials.gov/study/NCT05750667 .
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Affiliation(s)
- Christina Johnson
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jinbo Chen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary P McGowan
- Family Heart Foundation, Fernandina Beach, FL, USA
- Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Eric Tricou
- Family Heart Foundation, Fernandina Beach, FL, USA
| | - Mary Card
- Family Heart Foundation, Fernandina Beach, FL, USA
| | | | - Tamar Klaiman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G Volpp
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
- The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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5
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Boggs JM, Richards J, Simon G, Aguirre-Miyamoto EM, Barton LJ, Beck A, Beidas RS, Bruschke C, Buckingham ET, Buttlaire S, Clarke G, Coleman K, Flores JP, Frank C, Penfold RB, Richardson L, Ryan JM, Schoenbaum M, Sterling S, Stewart C, Yarborough BJH, Yeh HH, Ahmedani B. Suicide Screening, Risk Assessment, and Lethal Means Counseling During Zero Suicide Implementation. Psychiatr Serv 2024:appips20230211. [PMID: 38566561 DOI: 10.1176/appi.ps.20230211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
OBJECTIVE The authors measured implementation of Zero Suicide (ZS) clinical practices that support identification of suicide risk and risk mitigation, including screening, risk assessment, and lethal means counseling, across mental health specialty and primary care settings. METHODS Six health care systems in California, Colorado, Michigan, Oregon, and Washington participated. The sample included members ages ≥13 years from 2010 to 2019 (N=7,820,524 patients). The proportions of patients with suicidal ideation screening, suicide risk assessment, and lethal means counseling were estimated. RESULTS In 2019, patients were screened for suicidal ideation in 27.1% (range 5.0%-85.0%) of mental health visits and 2.5% (range 0.1%-35.0%) of primary care visits among a racially and ethnically diverse sample (44.9% White, 27.2% Hispanic, 13.4% Asian, and 7.7% Black). More patients screened positive for suicidal ideation in the mental health setting (10.2%) than in the primary care setting (3.8%). Of the patients screening positive for suicidal ideation in the mental health setting, 76.8% received a risk assessment, and 82.4% of those identified as being at high risk received lethal means counseling, compared with 43.2% and 82.4%, respectively, in primary care. CONCLUSIONS Six health systems that implemented ZS showed a high level of variation in the proportions of patients receiving suicide screening and risk assessment and lethal means counseling. Two opportunities emerged for further study to increase frequency of these practices: expanding screening beyond patients with regular health care visits and implementing risk assessment with lethal means counseling in the primary care setting directly after a positive suicidal ideation screening.
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Affiliation(s)
- Jennifer M Boggs
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Julie Richards
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Gregory Simon
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Erika M Aguirre-Miyamoto
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Lee J Barton
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Arne Beck
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Rinad S Beidas
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Cambria Bruschke
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Edward T Buckingham
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Stuart Buttlaire
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Gregory Clarke
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Karen Coleman
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Jean P Flores
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Catherine Frank
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Robert B Penfold
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Laura Richardson
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Jacqueline M Ryan
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Michael Schoenbaum
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Stacy Sterling
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Christine Stewart
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Bobbi Jo H Yarborough
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Hsueh-Han Yeh
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
| | - Brian Ahmedani
- Kaiser Permanente Colorado, Aurora (Boggs, Beck, Buckingham, Richardson); Kaiser Permanente Washington, Seattle (Richards, Simon, Penfold, Stewart); Kaiser Permanente Southern California, Pasadena (Aguirre-Miyamoto, Barton, Coleman); Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago (Beidas); Kaiser Permanente Program Office, Oakland, California (Bruschke); Kaiser Permanente Northern California, Oakland (Buttlaire, Sterling); Kaiser Permanente Northwest, Portland, Oregon (Clarke, Ryan, Yarborough); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Flores); Henry Ford Health System, Detroit (Frank, Yeh, Ahmedani); NIMH, Bethesda (Schoenbaum)
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Van Pelt AE, Casline E, Phillips G, Cestou J, Mustanski B, Cook G, Beidas RS. Co-designing strategies to implement long-acting injectable PrEP for sexual minority men in Chicago: a study protocol for an innovation tournament and implementation mapping. Implement Sci Commun 2024; 5:29. [PMID: 38528628 PMCID: PMC10962141 DOI: 10.1186/s43058-024-00574-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Participatory design approaches can improve successful selection and tailoring of implementation strategies by centering the voices of key constituents. To reduce incidence of the human immunodeficiency virus (HIV) in the USA, co-design of implementation strategies is needed for long-acting injectable cabotegravir (CAB-LA), a new form of HIV pre-exposure prophylaxis, among the disproportionately impacted population of sexual minority men (SMM). This manuscript describes the protocol for participatory design approaches (i.e., innovation tournament and implementation mapping) to inform implementation of CAB-LA among SMM (≥ 12 years), particularly Black and Latino populations, in Chicago. METHODS This research incorporates innovative methods to accomplish two objectives: (1) to crowdsource ideas for the design of implementation strategies for CAB-LA through a virtual innovation tournament and (2) to leverage the ideas from the innovation tournament to operationalize implementation strategies for CAB-LA thorough the systematic process of implementation mapping. A committee of constituents with diverse expertise and perspectives (e.g., SMM, implementation scientists, HIV clinicians, public health leadership, and community partners) will provide input throughout the design process. DISCUSSION This research will produce a menu of co-designed implementation strategies, which can guide plans for CAB-LA integration in Chicago and provide insights for other EHE regions. Further, as the first innovation tournament focused on HIV prevention, this research can provide a framework for participatory approaches across the care continuum. Given that the co-design of implementation strategies often does not involve the participation of individuals with lived experiences, this work will center the voices of those who will benefit most.
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Affiliation(s)
- Amelia E Van Pelt
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA.
- Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine, 633 N St Clair St Suite 2000, Chicago, IL, 60611, USA.
| | - Elizabeth Casline
- Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine, 633 N St Clair St Suite 2000, Chicago, IL, 60611, USA
| | - Gregory Phillips
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 1400, Chicago, IL, 60611, USA
| | - Jorge Cestou
- Syndemic Infectious Disease Bureau, Chicago Department of Public Health, 333 South State Street Room 200, Chicago, IL, 60604, USA
| | - Brian Mustanski
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA
- Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine, 633 N St Clair St Suite 2000, Chicago, IL, 60611, USA
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 1400, Chicago, IL, 60611, USA
| | - Grace Cook
- Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine, 633 N St Clair St Suite 2000, Chicago, IL, 60611, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA
- Center for Dissemination and Implementation Science, Northwestern University Feinberg School of Medicine, 633 N St Clair St Suite 2000, Chicago, IL, 60611, USA
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Wood SM, Bauermeister J, Fiks AG, Phillips AW, Richardson HM, Garcia SM, Maleki P, Beidas RS, Young JF, Gross R, Dowshen N. Adolescent Preferences for a Pediatric Primary Care-based Sexually Transmitted Infection and HIV Prevention Intervention. J Adolesc Health 2024:S1054-139X(24)00069-7. [PMID: 38520429 DOI: 10.1016/j.jadohealth.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 11/16/2023] [Accepted: 01/22/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE We sought to elicit perspectives on HIV and sexually transmitted infection (STI) prevention among adolescents with recent STIs in primary care to optimize acceptability and effectiveness in designing a novel HIV/STI prevention intervention. METHODS We enrolled 13-19 year-olds with recent gonorrhea, chlamydia, trichomonas, and/or syphilis in a multimethods cross-sectional study at two primary care clinics. Participants completed surveys and interviews. We used an integrated analytic approach deductively coding data using the Integrated Behavioral Model, then inductively coding to identify themes not represented in the Integrated Behavioral Model. RESULTS Participants (n = 35) were 85% cisgender female, 14% cisgender male, 1% transgender female; 25% identified as lesbian, bisexual, or queer. Most (97%) identified as non-Latinx Black. None used condoms consistently, 26% were aware of pre-exposure prophylaxis (PrEP), and 31% were never HIV tested. Five key themes emerged. 1) Mental health was central to HIV prevention behavior uptake and coping with STI diagnosis. 2) Youth desired prevention counseling that allowed decisional autonomy and individualized goal setting. 3) Negative social norms around condoms and absent norms around HIV testing and PrEP limited method uptake. 4) Both confidence and concrete skills were needed to initiate prevention methods. 5) Youth desired education at the time of STI diagnosis to improve subsequent prevention decision making. DISCUSSION Key intervention design considerations included 1) integrating mental health assessment and referral to services, 2) promoting individualized goal setting, 4) building communication skills, 4) providing navigation and material support for PrEP uptake and HIV testing, and 5) augmenting comprehensive STI and HIV prevention education.
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Affiliation(s)
- Sarah M Wood
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
| | - José Bauermeister
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
| | - Alexander G Fiks
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Alexis W Phillips
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Haley M Richardson
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Stephanie M Garcia
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Pegah Maleki
- Division of Hematology and Oncology, Department of Medicine, University Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jami F Young
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Robert Gross
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Nadia Dowshen
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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8
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Scherr CL, Getachew-Smith H, Moe S, Knapp AA, Carroll AJ, Mohanty N, Shah S, Spencer AE, Beidas RS, Wakschlag LS, Smith JD. Possible unintended consequences of pediatric clinician strategies for communicating about social-emotional and developmental concerns in diverse young children. Fam Syst Health 2024; 42:18-33. [PMID: 38647491 PMCID: PMC11070196 DOI: 10.1037/fsh0000882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
INTRODUCTION Screening to promote social-emotional well-being in toddlers has positive effects on long-term health and functioning. Communication about social-emotional well-being can be challenging for primary care clinicians for various reasons including lack of time, training and expertise, resource constraints, and cognitive burden. Therefore, we explored clinicians' perspectives on identifying and communicating with caregivers about social-emotional risk in toddlers. METHOD In 2021, semistructured interviews were conducted with pediatric clinicians (N = 20) practicing in Federally Qualified Health Centers in a single metropolitan area. Most participants identified as female (n = 15; 75%), white non-Hispanic/Latino (n = 14; 70%), and were Doctors of Medicine or Osteopathic Medicine (n = 14; 70%). Thematic analysis was conducted on audio-recorded interview transcripts. RESULTS Clinicians used various approaches to identify social-emotional concerns which were sometimes difficult to distinguish from other developmental concerns. The clinician-caregiver relationship guided identification and communication practices and cut-across themes. Themes include: starting with caregivers' concerns, communicating concerns with data and sensitivity, navigating labels, culture, and stigma, and limiting communication based on family capacity and interest. DISCUSSION Prioritizing the clinician-caregiver relationship is consistent with best practice and family-centered care. Yet, the dearth of standardized decision support may undermine clinician confidence and impede timely conversations about social-emotional concerns. An evidence-based approach with developmentally based culturally informed quantitative tools and standardized decision supports could help ensure equitable management and decision making about young children's social and emotional well-being and development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | - Hannah Getachew-Smith
- Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Sydney Moe
- Department of Communication Studies, Northwestern University
| | - Ashley A. Knapp
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University
| | - Allison J. Carroll
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University
| | - Nivedita Mohanty
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University
- Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago
- AllianceChicago, Chicago, Illinois, United States
| | - Seema Shah
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University
- Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago
- Pritzker School of Law, Northwestern University
| | - Andrea E. Spencer
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University
- Pritzker Department of Psychiatry and Behavioral Health, Ann & Robert H. Lurie Children’s Hospital of Chicago
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | - Lauren S. Wakschlag
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | - Justin D. Smith
- Division of Health Systems Innovation and Research, Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah
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9
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Schriger SH, Knowles M, Daglieri T, Kangovi S, Beidas RS. Barriers and Facilitators to Implementing an Evidence-Based Community Health Worker Model. JAMA Health Forum 2024; 5:e240034. [PMID: 38457130 PMCID: PMC10924240 DOI: 10.1001/jamahealthforum.2024.0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/05/2024] [Indexed: 03/09/2024] Open
Abstract
Importance Community health worker (CHW) programs may improve health outcomes, increase quality of life, and reduce hospitalizations and cost of care. However, knowledge is limited on the barriers and facilitators associated with scaling evidence-based CHW programs to maximize their public health outcomes. Objective To identify barriers and facilitators to implementing an evidence-based CHW model. Design, Setting, and Participants This qualitative study examined perspectives of Individualized Management of Person-Centered Targets (IMPaCT) program staff (health system leaders, program managers, and community health workers) and patients receiving the intervention between March 9, 2020, and July 22, 2021, at 5 institutionally and geographically diverse health systems across the US. The collected data were analyzed between December 1, 2021, and April 27, 2022. Program staff were recruited via purposive sampling, and patients were recruited via convenience sampling. Intervention The disease-agnostic IMPaCT CHW model includes a standardized implementation approach and a structured set of theory-informed intervention components to create and achieve individualized action plans. Main Outcomes and Measures Interview guides were informed by the Consolidated Framework for Implementation Research. A rapid qualitative analytic technique was used to identify key themes, which were categorized into barriers and facilitators associated with framework ecological domains. Results Of a total 41 individuals invited, 39 agreed to participate (95% response rate; mean [SD] age, 45.0 [12.6] years; 30 women). General barriers included economic and policy constraints, including insufficient funding for CHW programs, clinical integration challenges, and CHW difficulty with maintaining boundaries. Program-specific barriers included insufficiently tailored materials for certain populations and upfront and ongoing program costs. General facilitators included CHWs' interpersonal skills and life experiences. Program-specific facilitators included the model's strong evidence base, supportive implementation team, and program design that enabled relationship building and engagement. Additional themes were cited as both barriers and facilitators, including the COVID-19 pandemic, organizational leadership, IMPaCT training, and program fidelity. Conclusions and Relevance These findings suggest growing recognition of the importance of CHWs to improving health equity and population health. Barriers identified point to important policy and practice implications for CHW programs more broadly, including the need for continued attention to improving clinical integration and the need for sustainable program financing to preserve the longevity of this workforce.
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Affiliation(s)
| | - Molly Knowles
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Center for Community Health Workers, Philadelphia, Pennsylvania
| | - Talia Daglieri
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Center for Community Health Workers, Philadelphia, Pennsylvania
| | - Shreya Kangovi
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- IMPaCT Care, Philadelphia, Pennsylvania
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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10
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Albanowski K, Brent C, Landrigan CP, Benjamin Wolk C, Schondelmeyer AC, Brady PW, Beidas RS, Schisterman EF, Bonafide CP. Getting Started With Multi-site Research: Lessons From the Eliminating Monitor Overuse (EMO) Study. Hosp Pediatr 2024; 14:e181-e188. [PMID: 38410860 PMCID: PMC10896739 DOI: 10.1542/hpeds.2023-007550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Research in Pediatric Hospital Medicine is growing and expanding rapidly, and with this comes the need to expand single-site research projects into multisite research studies within practice-based research networks. This expansion is crucial to ensure generalizable findings in diverse populations; however, expanding Pediatric Hospital Medicine research projects from single to multisite can be daunting. We provide an overview of major logistical steps and challenges in project management, regulatory approvals, data use agreements, training, communication, and financial management that are germane to hospitalist researchers launching their first multisite project by sharing processes and lessons learned from running multisite research projects in the Pediatric Research in Inpatient Settings Network within the Eliminating Monitor Overuse study portfolio. This description is relevant to hospitalist researchers transitioning from single-site to multisite research or those considering serving as site lead for a multisite project.
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Affiliation(s)
- Kimberly Albanowski
- Section of Hospital Medicine
- Clinical Futures Children’s Hospital of Philadelphia, Philadelphia
| | - Canita Brent
- Section of Hospital Medicine
- Clinical Futures Children’s Hospital of Philadelphia, Philadelphia
| | - Christopher P. Landrigan
- Division of General Pediatrics, Department of Pediatrics, Boston Children’s Hospital, Massachusetts
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Massachusetts
- Department of Pediatrics and Medicine, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Courtney Benjamin Wolk
- Psychiatry
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia
| | - Amanda C. Schondelmeyer
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Patrick W. Brady
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Hospital Medicine
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | | | - Christopher P. Bonafide
- Section of Hospital Medicine
- Clinical Futures Children’s Hospital of Philadelphia, Philadelphia
- Departments of Pediatrics
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia
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11
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Pellecchia M, Mandell DS, Tomczuk L, Marcus SC, Stewart R, Stahmer AC, Beidas RS, Rieth SR, Lawson GM. A mixed-methods evaluation of organization and individual factors influencing provider intentions to use caregiver coaching in community-based early intervention. Implement Sci Commun 2024; 5:17. [PMID: 38414019 PMCID: PMC10900730 DOI: 10.1186/s43058-024-00552-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 01/25/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Most psycho-social interventions contain multiple components. Practitioners often vary in their implementation of different intervention components. Caregiver coaching is a multicomponent intervention for young autistic children that is highly effective but poorly implemented in community-based early intervention (EI). Previous research has shown that EI providers' intentions, and the determinants of their intentions, to implement caregiver coaching vary across components. Organizational culture and climate likely influence these psychological determinants of intention by affecting beliefs that underlie attitudes, norms, and self-efficacy to implement an intervention. Research in this area is limited, which limits the development of theoretically driven, multilevel implementation strategies to support multi-component interventions. This mixed methods study evaluated the relationships among organizational leadership, culture and climate, attitudes, norms, self-efficacy, and EI providers' intentions to implement the components of caregiver coaching. METHODS We surveyed 264 EI providers from 37 agencies regarding their intentions and determinants of intentions to use caregiver coaching. We also asked questions about the organizational culture, climate, and leadership in their agencies related to caregiver coaching. We used multilevel structural equation models to estimate associations among intentions, psychological determinants of intentions (attitudes, descriptive norms, injunctive norms, and self-efficacy), and organizational factors (implementation climate and leadership). We conducted qualitative interviews with 36 providers, stratified by strength of intentions to use coaching. We used mixed-methods analysis to gain an in-depth understanding of the organization and individual-level factors. RESULTS The associations among intentions, psychological determinants of intentions, and organizational factors varied across core components of caregiver coaching. Qualitative interviews elucidated how providers describe the importance of each component. For example, providers' attitudes toward coaching caregivers and their perceptions of caregivers' expectations for service were particularly salient themes related to their use of caregiver coaching. CONCLUSION Results highlight the importance of multi-level strategies that strategically target individual intervention components as well as organization-level and individual-level constructs. This approach holds promise for improving the implementation of complex, multicomponent, psychosocial interventions in community-based service systems.
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Affiliation(s)
- Melanie Pellecchia
- Center for Mental Health, Psychiatry Department, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA.
| | - David S Mandell
- Center for Mental Health, Psychiatry Department, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Liza Tomczuk
- Center for Mental Health, Psychiatry Department, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Steven C Marcus
- Center for Mental Health, Psychiatry Department, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, USA
| | - Rebecca Stewart
- Center for Mental Health, Psychiatry Department, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Aubyn C Stahmer
- University of California, Davis, Mind Institute, Sacramento, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, USA
| | - Sarah R Rieth
- College of Education, San Diego State University, San Diego, USA
- Child and Adolescent Services Research Center, San Diego, USA
| | - Gwendolyn M Lawson
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, USA
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
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12
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Lee A, Gold R, Caskey R, Haider S, Schmidt T, Ott E, Beidas RS, Bhat A, Pinnock W, Vredevoogd M, Grover T, Wallander Gemkow J, Bennett IM. Recruiting Community Health Centers for Implementation Research: Challenges, Implications, and Potential Solutions. Health Equity 2024; 8:113-116. [PMID: 38414491 PMCID: PMC10898228 DOI: 10.1089/heq.2022.0195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2023] [Indexed: 02/29/2024] Open
Affiliation(s)
| | - Rachel Gold
- OCHIN, Inc., Portland, Oregon, USA
- Department of Science Programs, Center for Health Research, Kaiser Permanente, Portland, Oregon, USA
| | - Rachel Caskey
- Departments of Medicine and Pediatrics, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Sadia Haider
- Department of Obstetrics and Gynecology, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Emily Ott
- Department of Obstetrics and Gynecology, Rush University Medical Center, Chicago, Illinois, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amritha Bhat
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | | | - Melinda Vredevoogd
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Tess Grover
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
- Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care (HSR&D COIN), VA Puget Sound Health Care System, Seattle, Washington, USA
| | | | - Ian M. Bennett
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
- Department of Family Medicine, University of Washington, Seattle, Washington, USA
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13
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Clark K, Messineo E, Bryant-Stephens T, Song A, Marx D, Lieberman A, Beidas RS, Wolk CB. Evaluating the implementation of a community health worker-delivered intervention integrating asthma care in West Philadelphia public schools. J Asthma 2024:1-11. [PMID: 38299937 DOI: 10.1080/02770903.2024.2313146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/29/2024] [Indexed: 02/02/2024]
Abstract
OBJECTIVE Schools are an important setting because students spend much of their time in school and engage in physical activity during the school day that could exacerbate asthma symptoms. Our objective is to understand the barriers and facilitators to implementing an experimental community health worker-delivered care coordination program for students with asthma within the context of the West Philadelphia Controls Asthma study. METHODS Surveys (n = 256) and semi-structured interviews (n = 41) were completed with principals, teachers, nurses, and community health workers from 21 public and charter schools in West Philadelphia between January 2019 and September 2021. Survey participants completed the Evidence Based Practice Attitudes Scale, the Implementation Leadership Scale, and Organizational Climate Index. Semi-structured qualitative interview guides were developed, informed by the Consolidated Framework for Implementation Research. RESULTS Participant responses indicate that they perceived benefits for schools and students related to the community health worker-based care coordination program. Several barriers and facilitators to implementing the program were noted, including challenges associated with incorporating the program into school nurse workflow, environmental triggers in the school environment, and challenges communicating with family members. An important facilitator that was identified was having supportive school administrators and staff who were engaged and saw the benefits of the program. CONCLUSIONS This work can inform implementation planning for other locales interested in implementing community-based pediatric asthma control programs delivered by community health workers in schools.
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Affiliation(s)
- Kayla Clark
- Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Messineo
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Tyra Bryant-Stephens
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Angela Song
- Department of Psychiatry, Kaiser Permanente, San Jose, CA, USA
| | - Darby Marx
- Joan & Sanford I. Weill Medical College of Cornell University, Ithaca, NY, USA
| | - Adina Lieberman
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Courtney Benjamin Wolk
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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14
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Gregory EF, Beidas RS, Fiks AG, Lorch SA, Levine LD, Rubin DM, Maddox AI, O'Sullivan AL, Wu KK, Cronholm PF. Acceptability of Dyad Care Management After Preterm Birth: A Qualitative Study. Matern Child Health J 2024; 28:351-361. [PMID: 37980700 DOI: 10.1007/s10995-023-03848-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2023] [Indexed: 11/21/2023]
Abstract
OBJECTIVES Care management programs for medically complex infants interact with parents after complicated pregnancies, when gaps in maternal health care are well documented. These care managers may have the relationships and skills to promote postpartum and interconception health and health care access. It is unknown whether expanding these care management models to address maternal needs would be acceptable. METHODS We conducted qualitative interviews with women with a history of preterm birth and clinicians. For women with a history of preterm birth, additional inclusion criteria were Medicaid-insured infant in one health system and English proficiency. We purposively oversampled women whose infants received care management. Clinicians worked in two geographically adjacent health systems. Interviews explored priorities after preterm birth and perceived acceptability of mother-infant dyad care management. Interviews were audio recorded, transcribed, and coded following an integrated approach in which we applied a priori codes and captured emergent themes. RESULTS We interviewed 33 women (10/2018-7/2021) and 24 clinicians (3/2021-8/2021). Women were predominantly non-Hispanic Black, and 15 had infants receiving care management. Clinicians included physicians, nurses, and social workers from Pediatrics, Obstetrics, and Family Medicine. Subgroups converged thematically, finding care management acceptable. Tailoring programs to address stress and sleep, emphasizing care managers with strong interpersonal skills and shared experiences with care management users, and program flexibility would contribute to acceptability. CONCLUSIONS FOR PRACTICE Dyad care management after preterm birth is acceptable to potential program end-users and clinicians. Dyad health promotion may contribute to improved birth outcomes, infant, and parent health.
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Affiliation(s)
- Emily F Gregory
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Alexander G Fiks
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Scott A Lorch
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Lisa D Levine
- Department of Obstetrics and Gynecology, Maternal Fetal Medicine Research Program, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - David M Rubin
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Adya I Maddox
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Ann L O'Sullivan
- University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Katherine K Wu
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Peter F Cronholm
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
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15
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Song WB, Garshick MS, Barbieri JS, Shin DB, Báez S, Papadopoulos M, Neopaney A, Fitzsimmons R, Kalb RE, Mease PJ, Craig ET, Koplin J, Takeshita J, Chiesa Fuxench ZC, Armstrong AW, Mehta NN, Beidas RS, Ogdie AR, Gelfand JM. A Care Coordination Model to Prevent Cardiovascular Events in Patients with Psoriatic Disease: A Multicenter Pilot Study. J Invest Dermatol 2024:S0022-202X(23)03196-2. [PMID: 38184142 DOI: 10.1016/j.jid.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/30/2023] [Accepted: 12/03/2023] [Indexed: 01/08/2024]
Affiliation(s)
- William B Song
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael S Garshick
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Department of Dermatology, New York University Grossman School of Medicine, New York, New York, USA
| | - John S Barbieri
- Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel B Shin
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Suzette Báez
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Maryte Papadopoulos
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Aakriti Neopaney
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert Fitzsimmons
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert E Kalb
- Department of Dermatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Philip J Mease
- Division of Rheumatology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Ethan T Craig
- Division of Rheumatology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joelle Koplin
- Division of Rheumatology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Junko Takeshita
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Zelma C Chiesa Fuxench
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - April W Armstrong
- Division of Dermatology, Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Nehal N Mehta
- Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Alexis R Ogdie
- Division of Rheumatology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joel M Gelfand
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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16
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Gregory EF, Cronholm PF, Levine LD, Beidas RS, DeMarco MP, O'Sullivan AL, Lorch SA, Maddox AI, Wu K, Fiks AG. Integrating Care for Mother-Infant Dyads After Preterm Birth: A Qualitative Study of Clinician Perspectives on Feasibility. Womens Health Rep (New Rochelle) 2023; 4:642-650. [PMID: 38155873 PMCID: PMC10754422 DOI: 10.1089/whr.2023.0098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/28/2023] [Indexed: 12/30/2023]
Abstract
Objective There are gaps in receipt of maternal preventive services in the interconception period. Yet mother-infant dyads have frequent health care visits. Health systems have opportunities to better capitalize on existing visits to address dyad needs, but this possibility has not been fully explored. Methods In this qualitative study we conducted semistructured interviews with clinical team members involved with birthing parents or infants after preterm birth. We conducted snowball sampling from teams in pediatrics, obstetrics, and family medicine at two geographically adjacent health systems. Interviews explored perspectives on existing barriers and facilitators to integrating dyad care across adult and infant teams. Interviews were audio-recorded, professionally transcribed, and coded using an integrated approach. Results We interviewed 24 physicians, nurses, midwives, and social workers (March-November 2021). Participants identified barriers to integrated care including infrequent communication between clinical teams, which was generalizable to care of the birthing parent or infant as individuals, and additional barriers related to privacy, credentialing, and visit design that were specific to dyad care. To improve integration of dyad care, clinicians proposed adapting a variety tools and procedures currently used in their practices, including electronic health record tools for communication, dedicated roles to support communication or navigation, centralized information on resources for dyad care, referral protocols, identifying dyads for proactive outreach, and opportunities for clinicians to connect face-to-face about shared patients or families. Conclusions Clinicians believe existing health care structures and processes can be adapted to address current substantial barriers to integrated dyad care.
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Affiliation(s)
- Emily F. Gregory
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Peter F. Cronholm
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Lisa D. Levine
- Maternal Fetal Medicine Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Mario P. DeMarco
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ann L. O'Sullivan
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, PA
| | - Scott A. Lorch
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Adya I. Maddox
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Katherine Wu
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Alexander G. Fiks
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Clinical Futures, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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17
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Hamm RF, Levine LD, Quigley E, Beidas RS. An evaluation of implementation climate in inpatient maternity care: a cross-sectional survey study. J Matern Fetal Neonatal Med 2023; 36:2185119. [PMID: 36863714 PMCID: PMC10207965 DOI: 10.1080/14767058.2023.2185119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/04/2023]
Abstract
OBJECTIVE Researchers in obstetrics and gynecology are continuously generating new evidence to inform clinical care delivery. Yet, much of this newly emerging evidence fails to be rapidly and effectively integrated into routine clinical practice. Implementation climate refers to clinicians' perceptions of to what degree organizations support and reward use of an evidence-based practice (EBP) and is an important construct in the science of implementation in healthcare. Little is known about implementation climate for EBPs in maternity care. Thus, we aimed to (a) determine the reliability of the Implementation Climate Scale (ICS) for use in inpatient maternity care, (b) describe implementation climate in inpatient maternity care overall, and (c) compare individual perceptions of implementation climate between physician and nursing clinicians on these units. STUDY DESIGN We performed a cross-sectional survey of clinicians in inpatient maternity units across 2 urban, academic hospitals in the northeastern United States in 2020. Clinicians completed the 18-question validated ICS [scored 0-4]. Scale reliability by role was evaluated using Cronbach's α. Subscale and total scores were described overall and compared by physician versus nursing role using independent t-tests, as well as linear regression to control for confounders. RESULTS 111 clinicians completed the survey (physicians = 65; nursing = 46). Physicians were less likely to identify as female (75.4% vs. 100.0%, p < .001), but were of similar age and years of experience as nursing clinicians. Reliability of the ICS was excellent, with Cronbach's α of 0.91 and 0.86 among physicians and nursing clinicians, respectively. Scores were notably low for implementation climate in maternity care overall and for all subscales. ICS total scores were also higher among physicians as compared to nurses (2.18(±0.56) vs. 1.92(±0.50), p = .02), which remained significant in multivariable modeling (p = .02). Unadjusted subscale scores were higher among physicians in Recognition for EBP (2.68(±0.89) vs. 2.30(±0.86), p = .03) and Selection for EBP (2.24(±0.93) vs. 1.62(±1.04), p = .002). After adjustment for potential confounders, subscale scores for Focus on EBP (p = .04) and Selection for EBP (p = .002) were all higher among physicians. CONCLUSIONS This study supports the ICS as a reliable scale for measuring implementation climate in the inpatient maternity care setting. Notably lower implementation climate scores across subscales and roles compared to other settings may underlie the vast evidence to practice gap in obstetrics. In order to successfully implement practices that reduce maternal morbidity, we may need to focus on building educational support and rewarding EBP utilization on labor and delivery units, with an emphasis on nursing clinicians.
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Affiliation(s)
- Rebecca F. Hamm
- Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa D. Levine
- Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Quigley
- Department of Nursing, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rinad S. Beidas
- Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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18
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Xiao R, Bonafide CP, Williams NJ, Cidav Z, Landrigan CP, Faerber J, Makeneni S, Wolk CB, Schondelmeyer AC, Brady PW, Beidas RS, Schisterman EF. Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial: Statistical analysis plan. Contemp Clin Trials Commun 2023; 36:101219. [PMID: 37842322 PMCID: PMC10568304 DOI: 10.1016/j.conctc.2023.101219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/17/2023] Open
Abstract
Background Deimplementing overused health interventions is essential to maximizing quality and value while minimizing harm, waste, and inefficiencies. Three national guidelines discourage continuous pulse oximetry (SpO2) monitoring in children who are not receiving supplemental oxygen, but the guideline-discordant practice remains prevalent, making it a prime target for deimplementation. This paper details the statistical analysis plan for the Eliminating Monitor Overuse (EMO) SpO2 trial, which compares the effect of two competing deimplementation strategies (unlearning only vs. unlearning plus substitution) on the sustainment of deimplementation of SpO2 monitoring in children with bronchiolitis who are in room air. Methods The EMO Trial is a hybrid type 3 effectiveness-deimplementation trial with a longitudinal cluster-randomized design, conducted in Pediatric Research in Inpatient Settings Network hospitals. The primary outcome is deimplementation sustainment, analyzed as a longitudinal difference-in-differences comparison between study arms. This analysis will use generalized hierarchical mixed-effects models for longitudinal clustering outcomes. Secondary outcomes include the length of hospital stay and oxygen supplementation duration, modeled using linear mixed-effects regressions. Using the well-established counterfactual approach, we will also perform a mediation analysis of hospital-level mechanistic measures on the association between the deimplementation strategy and the sustainment outcome. Discussion We anticipate that the EMO Trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, and likelihood of sustained practice change using rigorously designed deimplementation strategies. This pre-specified statistical analysis plan will mitigate reporting bias and support data-driven approaches. Trial registration ClinicalTrials.gov NCT05132322. Registered on 24 November 2021.
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Affiliation(s)
- Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Christopher P. Bonafide
- Section of Hospital Medicine and Clinical Futures, Children's Hospital of Philadelphia, 3500 Civic Center Blvd, The Hub, Philadelphia, PA, 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, USA
| | - Nathaniel J. Williams
- School of Social Work, Boise State University, 1910 W. University Drive, Boise, ID, 83725, USA
| | - Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market St, Philadelphia, Pennsylvania, 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher P. Landrigan
- Division of General Pediatrics, Boston Children's Hospital, Enders 1, 300 Longwood Ave, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Jennifer Faerber
- Data Science and Biostatistics Unit, Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Spandana Makeneni
- Data Science and Biostatistics Unit, Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Courtney Benjamin Wolk
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3553 Market Street, 3rd Floor, Philadelphia, PA, 19104, USA
| | - Amanda C. Schondelmeyer
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Hospital Medicine, James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | - Patrick W. Brady
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Hospital Medicine, James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 625 North Michigan Avenue, Chicago, IL, 60661, USA
| | - Enrique F. Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
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19
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McCarthy AM, Fernandez Perez C, Beidas RS, Bekelman JE, Blumenthal D, Mack E, Bauer AM, Ehsan S, Conant EF, Wheeler BC, Guerra CE, Nunes LW, Gabriel P, Doucette A, Wileyto EP, Buttenheim AM, Asch DA, Rendle KA, Shelton RC, Fayanju OM, Ware S, Plag M, Hyland S, Gionta T, Shulman LN, Schnoll R. Protocol for a pragmatic stepped wedge cluster randomized clinical trial testing behavioral economic implementation strategies to increase supplemental breast MRI screening among patients with extremely dense breasts. Implement Sci 2023; 18:65. [PMID: 38001506 PMCID: PMC10668465 DOI: 10.1186/s13012-023-01323-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Increased breast density augments breast cancer risk and reduces mammography sensitivity. Supplemental breast MRI screening can significantly increase cancer detection among women with dense breasts. However, few women undergo this exam, and screening is consistently lower among racially minoritized populations. Implementation strategies informed by behavioral economics ("nudges") can promote evidence-based practices by improving clinician decision-making under conditions of uncertainty. Nudges directed toward clinicians and patients may facilitate the implementation of supplemental breast MRI. METHODS Approximately 1600 patients identified as having extremely dense breasts after non-actionable mammograms, along with about 1100 clinicians involved with their care at 32 primary care or OB/GYN clinics across a racially diverse academically based health system, will be enrolled. A 2 × 2 randomized pragmatic trial will test nudges to patients, clinicians, both, or neither to promote supplemental breast MRI screening. Before implementation, rapid cycle approaches informed by clinician and patient experiences and behavioral economics and health equity frameworks guided nudge design. Clinicians will be clustered into clinic groups based on existing administrative departments and care patterns, and these clinic groups will be randomized to have the nudge activated at different times per a stepped wedge design. Clinicians will receive nudges integrated into the routine mammographic report or sent through electronic health record (EHR) in-basket messaging once their clinic group (i.e., wedge) is randomized to receive the intervention. Independently, patients will be randomized to receive text message nudges or not. The primary outcome will be defined as ordering or scheduling supplemental breast MRI. Secondary outcomes include MRI completion, cancer detection rates, and false-positive rates. Patient sociodemographic information and clinic-level variables will be examined as moderators of nudge effectiveness. Qualitative interviews conducted at the trial's conclusion will examine barriers and facilitators to implementation. DISCUSSION This study will add to the growing literature on the effectiveness of behavioral economics-informed implementation strategies to promote evidence-based interventions. The design will facilitate testing the relative effects of nudges to patients and clinicians and the effects of moderators of nudge effectiveness, including key indicators of health disparities. The results may inform the introduction of low-cost, scalable implementation strategies to promote early breast cancer detection. TRIAL REGISTRATION ClinicalTrials.gov NCT05787249. Registered on March 28, 2023.
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Affiliation(s)
- Anne Marie McCarthy
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
| | | | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Justin E Bekelman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Daniel Blumenthal
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Mack
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anna-Marika Bauer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah Ehsan
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily F Conant
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Carmen E Guerra
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Linda W Nunes
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter Gabriel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Abigail Doucette
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - E Paul Wileyto
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Alison M Buttenheim
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Asch
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Katharine A Rendle
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - Rachel C Shelton
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Oluwadamilola M Fayanju
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Sue Ware
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Martina Plag
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven Hyland
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tracy Gionta
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lawrence N Shulman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Robert Schnoll
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
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20
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Symecko H, Schnoll R, Beidas RS, Bekelman JE, Blumenthal D, Bauer AM, Gabriel P, Boisseau L, Doucette A, Powers J, Cappadocia J, McKenna DB, Richardville R, Cuff L, Offer R, Clement EG, Buttenheim AM, Asch DA, Rendle KA, Shelton RC, Fayanju OM, Wileyto EP, Plag M, Ware S, Shulman LN, Nathanson KL, Domchek SM. Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices. Implement Sci 2023; 18:57. [PMID: 37932730 PMCID: PMC10629034 DOI: 10.1186/s13012-023-01308-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 09/29/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. METHODS Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients' clinicians using a novel "pend and send" tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. DISCUSSION This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. TRIAL REGISTRATION ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www. CLINICALTRIALS gov/study/NCT05721326.
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Affiliation(s)
- Heather Symecko
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Robert Schnoll
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Rinad S Beidas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Justin E Bekelman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Daniel Blumenthal
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Anna-Marika Bauer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter Gabriel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Leland Boisseau
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Abigail Doucette
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Jacquelyn Powers
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueline Cappadocia
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle B McKenna
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Richardville
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Cuff
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Offer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth G Clement
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alison M Buttenheim
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Asch
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Katharine A Rendle
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Rachel C Shelton
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Oluwadamilola M Fayanju
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - E Paul Wileyto
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Martina Plag
- Center for Healthcare Transformation and Innovation, Penn Medicine, Philadelphia, PA, USA
| | - Sue Ware
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Interdisciplinary Research On Nicotine Addiction, University of Pennsylvania, Philadelphia, PA, USA
| | - Lawrence N Shulman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Katherine L Nathanson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA
| | - Susan M Domchek
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Basser Center for BRCA, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Penn Center for Cancer Care Innovation, Abramson Cancer Center, Penn Medicine, Philadelphia, PA, USA.
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21
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Van Pelt AE, Bonafide CP, Rendle KA, Wolk C, Shea JA, Bettencourt A, Beidas RS, Lane-Fall MB. Evaluation of a brief virtual implementation science training program: the Penn Implementation Science Institute. Implement Sci Commun 2023; 4:131. [PMID: 37932840 PMCID: PMC10626776 DOI: 10.1186/s43058-023-00512-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/20/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND To meet the growing demand for implementation science expertise, building capacity is a priority. Various training opportunities have emerged to meet this need. To ensure rigor and achievement of specific implementation science competencies, it is critical to systematically evaluate training programs. METHODS The Penn Implementation Science Institute (PennISI) offers 4 days (20 h) of virtual synchronous training on foundational and advanced topics in implementation science. Through a pre-post design, this study evaluated the sixth PennISI, delivered in 2022. Surveys measures included 43 implementation science training evaluation competencies grouped into four thematic domains (e.g., items related to implementation science study design grouped into the "design, background, and rationale" competency category), course-specific evaluation criteria, and open-ended questions to evaluate change in knowledge and suggestions for improving future institutes. Mean composite scores were created for each of the competency themes. Descriptive statistics and thematic analysis were completed. RESULTS One hundred four (95.41% response rate) and 55 (50.46% response rate) participants completed the pre-survey and post-survey, respectively. Participants included a diverse cohort of individuals primarily affiliated with US-based academic institutions and self-reported as having novice or beginner-level knowledge of implementation science at baseline (81.73%). In the pre-survey, all mean composite scores for implementation science competencies were below one (i.e., beginner-level). Participants reported high value from the PennISI across standard course evaluation criteria (e.g., mean score of 3.77/4.00 for overall quality of course). Scores for all competency domains increased to a score between beginner-level and intermediate-level following training. In both the pre-survey and post-survey, competencies related to "definition, background, and rationale" had the highest mean composite score, whereas competencies related to "design and analysis" received the lowest score. Qualitative themes offered impressions of the PennISI, didactic content, PennISI structure, and suggestions for improvement. Prior experience with or knowledge of implementation science influenced many themes. CONCLUSIONS This evaluation highlights the strengths of an established implementation science institute, which can serve as a model for brief, virtual training programs. Findings provide insight for improving future program efforts to meet the needs of the heterogenous implementation science community (e.g., different disciplines and levels of implementation science knowledge). This study contributes to ensuring rigorous implementation science capacity building through the evaluation of programs.
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Affiliation(s)
- Amelia E Van Pelt
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA.
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA.
| | - Christopher P Bonafide
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
- Section of Hospital Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, USA
| | - Katharine A Rendle
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, 51 N 39th Street floor 7, Philadelphia, PA, 19104, USA
| | - Courtney Wolk
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3553 Market Street, 3Rd Floor, Philadelphia, PA, 19104, USA
| | - Judy A Shea
- Department of Medicine, Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - Amanda Bettencourt
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 N Michigan Ave Suite 2100, Chicago, IL, 60611, USA
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
| | - Meghan B Lane-Fall
- Penn Implementation Science Center at the Leonard Davis Institute for Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, 19104, USA
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street Suite 680, Philadelphia, PA, 19104, USA
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22
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Lengnick-Hall R, Williams NJ, Ehrhart MG, Willging CE, Bunger AC, Beidas RS, Aarons GA. Eight characteristics of rigorous multilevel implementation research: a step-by-step guide. Implement Sci 2023; 18:52. [PMID: 37872618 PMCID: PMC10594828 DOI: 10.1186/s13012-023-01302-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 09/09/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Although healthcare is delivered in inherently multilevel contexts, implementation science has no widely endorsed methodological standards defining the characteristics of rigorous, multilevel implementation research. We identify and describe eight characteristics of high-quality, multilevel implementation research to encourage discussion, spur debate, and guide decision-making around study design and methodological issues. RECOMMENDATIONS Implementation researchers who conduct rigorous multilevel implementation research demonstrate the following eight characteristics. First, they map and operationalize the specific multilevel context for defined populations and settings. Second, they define and state the level of each construct under study. Third, they describe how constructs relate to each other within and across levels. Fourth, they specify the temporal scope of each phenomenon at each relevant level. Fifth, they align measurement choices and construction of analytic variables with the levels of theories selected (and hypotheses generated, if applicable). Sixth, they use a sampling strategy consistent with the selected theories or research objectives and sufficiently large and variable to examine relationships at requisite levels. Seventh, they align analytic approaches with the chosen theories (and hypotheses, if applicable), ensuring that they account for measurement dependencies and nested data structures. Eighth, they ensure inferences are made at the appropriate level. To guide implementation researchers and encourage debate, we present the rationale for each characteristic, actionable recommendations for operationalizing the characteristics in implementation research, a range of examples, and references to make the characteristics more usable. Our recommendations apply to all types of multilevel implementation study designs and approaches, including randomized trials, quantitative and qualitative observational studies, and mixed methods. CONCLUSION These eight characteristics provide benchmarks for evaluating the quality and replicability of multilevel implementation research and promote a common language and reference points. This, in turn, facilitates knowledge generation across diverse multilevel settings and ensures that implementation research is consistent with (and appropriately leverages) what has already been learned in allied multilevel sciences. When a shared and integrated description of what constitutes rigor is defined and broadly communicated, implementation science is better positioned to innovate both methodologically and theoretically.
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Affiliation(s)
| | | | - Mark G Ehrhart
- Department of Psychology, University of Central Florida, Orlando, FL, USA
| | - Cathleen E Willging
- Southwest Center, Pacific Institute for Research and Evaluation, Albuquerque, NM, USA
| | - Alicia C Bunger
- College of Social Work, The Ohio State University, Columbus, OH, USA
| | - Rinad S Beidas
- Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gregory A Aarons
- Department of Psychiatry, UC San Diego ACTRI Dissemination and Implementation Science Center, University of California-San Diego, La Jolla, San Diego, CA, USA
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Van Pelt AE, Bilker WB, Nkwihorez H, Ghadimi F, Brady KA, Cidav Z, Schriger SH, Beidas RS, Gross R, Momplaisir F. Increasing antiretroviral therapy adherence and retention in care among adults living with HIV in Philadelphia: a study protocol for a stepped-wedge cluster-randomised type 2 hybrid effectiveness-implementation trial of managed problem-solving plus (MAPS+) delivered by community health workers. BMJ Open 2023; 13:e079585. [PMID: 37865411 PMCID: PMC10603537 DOI: 10.1136/bmjopen-2023-079585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/28/2023] [Indexed: 10/23/2023] Open
Abstract
INTRODUCTION To end the HIV epidemic in Philadelphia, implementation of evidence-based practices (EBP) to increase viral suppression and retention in HIV care is critical. Managed problem solving (MAPS), an EBP for antiretroviral therapy adherence, follows a problem-solving approach to empower people living with HIV (PWH) to manage their health. To overcome barriers to care experienced by PWH in Philadelphia, the EBP was adapted to include a focus on care retention and delivery by community health workers (CHWs). The adapted intervention is MAPS+. To maximise the clinical impact and reach of the intervention, evaluation of the effectiveness and implementation of MAPS+ is necessary. METHODS AND ANALYSIS This manuscript describes the protocol for a stepped-wedge cluster-randomised type 2 hybrid effectiveness-implementation trial in 10 clinics in Philadelphia. This research incorporates innovative approaches to accomplish three objectives: (1) to evaluate the effectiveness of the CHW-led MAPS+ intervention to improve viral suppression and retention in care 1 year after the individual implementation period (N=390 participants), (2) to examine the effect of the menu of implementation strategies on reach and implementation cost and (3) to examine processes, mechanisms, and sustainment of the implementation strategies for MAPS+ (N=56 participants). Due to various factors (eg, COVID-19), protocol modifications have occurred. ETHICS AND DISSEMINATION The institutional review board (IRB) at the city of Philadelphia serves as the primary IRB; initial approval was granted on 21 December 2020. The University of Pennsylvania and Northwestern University executed reliance agreements. A safety monitoring committee comprised experts in implementation science, biostatistics and infectious diseases oversee this study. This research will offer insights into achieving the goals to end the HIV epidemic in Philadelphia as well as implementation efforts of MAPS+ and other behavioural interventions aimed at increasing medication adherence and retention in care. Dissemination will include deliverables (eg, peer-reviewed manuscripts and lay publications) to reach multiple constituents. TRIAL REGISTRATION NUMBER NCT04560621.
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Affiliation(s)
- Amelia E Van Pelt
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Warren B Bilker
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Hervette Nkwihorez
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Fatemeh Ghadimi
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kathleen A Brady
- Philadelphia Department of Public Health, Philadelphia, Pennsylvania, USA
| | - Zuleyha Cidav
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Leondard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Simone H Schriger
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rinad S Beidas
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Robert Gross
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Leondard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Florence Momplaisir
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Leondard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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24
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Jenssen BP, Schnoll R, Beidas RS, Bekelman J, Bauer AM, Evers-Casey S, Fisher T, Scott C, Nicoloso J, Gabriel P, Asch DA, Buttenheim AM, Chen J, Melo J, Grant D, Horst M, Oyer R, Shulman LN, Clifton AB, Lieberman A, Salam T, Rendle KA, Chaiyachati KH, Shelton RC, Fayanju O, Wileyto EP, Ware S, Blumenthal D, Ragusano D, Leone FT. Cluster Randomized Pragmatic Clinical Trial Testing Behavioral Economic Implementation Strategies to Improve Tobacco Treatment for Patients With Cancer Who Smoke. J Clin Oncol 2023; 41:4511-4521. [PMID: 37467454 PMCID: PMC10552951 DOI: 10.1200/jco.23.00355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/25/2023] [Accepted: 06/15/2023] [Indexed: 07/21/2023] Open
Abstract
PURPOSE Few cancer centers systematically engage patients with evidence-based tobacco treatment despite its positive effect on quality of life and survival. Implementation strategies directed at patients, clinicians, or both may increase tobacco use treatment (TUT) within oncology. METHODS We conducted a four-arm cluster-randomized pragmatic trial across 11 clinical sites comparing the effect of strategies informed by behavioral economics on TUT engagement during oncology encounters with cancer patients. We delivered electronic health record (EHR)-based nudges promoting TUT across four nudge conditions: patient only, clinician only, patient and clinician, or usual care. Nudges were designed to counteract cognitive biases that reduce TUT engagement. The primary outcome was TUT penetration, defined as the proportion of patients with documented TUT referral or a medication prescription in the EHR. Generalized estimating equations were used to estimate the parameters of a linear model. RESULTS From June 2021 to July 2022, we randomly assigned 246 clinicians in 95 clusters, and collected TUT penetration data from their encounters with 2,146 eligible patients who smoke receiving oncologic care. Intent-to-treat (ITT) analysis showed that the clinician nudge led to a significant increase in TUT penetration versus usual care (35.6% v 13.5%; OR = 3.64; 95% CI, 2.52 to 5.24; P < .0001). Completer-only analysis (N = 1,795) showed similar impact (37.7% clinician nudge v 13.5% usual care; OR = 3.77; 95% CI, 2.73 to 5.19; P < .0001). Clinician type affected TUT penetration, with physicians less likely to provide TUT than advanced practice providers (ITT OR = 0.67; 95% CI, 0.51 to 0.88; P = .004). CONCLUSION EHR nudges, informed by behavioral economics and aimed at oncology clinicians, appear to substantially increase TUT penetration. Adding patient nudges to the implementation strategy did not affect TUT penetration rates.
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Affiliation(s)
- Brian P. Jenssen
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Robert Schnoll
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rinad S. Beidas
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Justin Bekelman
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Anna-Marika Bauer
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sarah Evers-Casey
- Comprehensive Smoking Treatment Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tierney Fisher
- Comprehensive Smoking Treatment Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Callie Scott
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jody Nicoloso
- Comprehensive Smoking Treatment Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Peter Gabriel
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David A. Asch
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alison M. Buttenheim
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA
| | - Jessica Chen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Julissa Melo
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Dwayne Grant
- Penn Medicine Lancaster General Health, Lancaster, PA
| | - Michael Horst
- Penn Medicine Lancaster General Health, Lancaster, PA
| | - Randall Oyer
- Penn Medicine Lancaster General Health, Lancaster, PA
| | - Lawrence N. Shulman
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alicia B.W. Clifton
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Adina Lieberman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tasnim Salam
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Katharine A. Rendle
- Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Krisda H. Chaiyachati
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Verily Life Sciences, San Francisco, CA
| | - Rachel C. Shelton
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY
| | - Oluwadamilola Fayanju
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - E. Paul Wileyto
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sue Ware
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daniel Blumenthal
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daniel Ragusano
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Frank T. Leone
- Pulmonary, Allergy, & Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Aschbrenner KA, Oh AY, Tabak RG, Hannon PA, Angier HE, Moore WT, Likumahuwa-Ackman S, Carroll JK, Baumann AA, Beidas RS, Mazzucca-Ragan S, Waters EA, Sadasivam RS, Shelton RC. Integrating a focus on health equity in implementation science: Case examples from the national cancer institute's implementation science in cancer control centers (ISC 3) network. J Clin Transl Sci 2023; 7:e226. [PMID: 38028358 PMCID: PMC10643915 DOI: 10.1017/cts.2023.638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/11/2023] [Accepted: 09/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background A Health Equity Task Force (HETF) of members from seven Centers funded by the National Cancer Institute's (NCI) Implementation Science in Cancer Control Centers (ISC3) network sought to identify case examples of how Centers were applying a focus on health equity in implementation science to inform future research and capacity-building efforts. Methods HETF members at each ISC3 collected information on how health equity was conceptualized, operationalized, and addressed in initial research and capacity-building efforts across the seven ISC3 Centers funded in 2019-2020. Each Center completed a questionnaire assessing five health equity domains central to implementation science (e.g., community engagement; implementation science theories, models, and frameworks (TMFs); and engaging underrepresented scholars). Data generated illustrative examples from these five domains. Results Centers reported a range of approaches focusing on health equity in implementation research and capacity-building efforts, including (1) engaging diverse community partners/settings in making decisions about research priorities and projects; (2) applying health equity within a single TMF applied across projects or various TMFs used in specific projects; (3) evaluating health equity in operationalizing and measuring health and implementation outcomes; (4) building capacity for health equity-focused implementation science among trainees, early career scholars, and partnering organizations; and (5) leveraging varying levels of institutional resources and efforts to engage, include, and support underrepresented scholars. Conclusions Examples of approaches to integrating health equity across the ISC3 network can inform other investigators and centers' efforts to build capacity and infrastructure to support growth and expansion of health equity-focused implementation science.
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Affiliation(s)
- Kelly A. Aschbrenner
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Hanover, NH, USA
| | - April Y. Oh
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Rachel G. Tabak
- Brown School, Washington University in St. Louis, St. Louis, MO, USA
| | - Peggy A. Hannon
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA
| | - Heather E. Angier
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - W. Todd Moore
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | | | | | - Ana A. Baumann
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Erika A. Waters
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Rajani S. Sadasivam
- Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Rachel C. Shelton
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
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26
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Sanchez AL, Cliggitt LP, Dallard NL, Irby D, Harper M, Schaffer E, Lane-Fall M, Beidas RS. Power Redistribution and Upending White Supremacy in Implementation Research and Practice in Community Mental Health. Psychiatr Serv 2023; 74:987-990. [PMID: 36872893 DOI: 10.1176/appi.ps.20220209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
This Open Forum explores how implementation research and practice may sustain White supremacist ideas, perpetuate unequal power dynamics, and maintain mental health care inequities. The following questions were considered: What information is valued and considered evidence? and How do power differentials within implementation research and practice manifest? The implementation of evidence-based interventions within community mental health clinics is used as an example to explore these questions. Recommendations are provided to envision a future that centers collaboratively developed and community-led approaches to foster equity in mental health care.
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Affiliation(s)
- Amanda L Sanchez
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Lauren Pilar Cliggitt
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Natalie L Dallard
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Deborah Irby
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Mikaila Harper
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Emily Schaffer
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Meghan Lane-Fall
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
| | - Rinad S Beidas
- Department of Psychology, George Mason University, Fairfax, Virginia (Sanchez); Hall Mercer Community Mental Health Center, Philadelphia (Cliggitt); Philadelphia Alliance for Child Trauma Services (Dallard, Irby) and Evidence-Based Practice and Innovation Center (Harper, Schaffer), Department of Behavioral Health and Intellectual disAbility Services, Philadelphia; Department of Anesthesiology and Critical Care, Perelman School of Medicine, and Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia (Lane-Fall); Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Beidas); Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas). Send correspondence to Dr. Sanchez
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Hamm RF, Levine LD, Szymczak JE, Parry S, Srinivas SK, Beidas RS. An innovative sequential mixed-methods approach to evaluating clinician acceptability during implementation of a standardized labor induction protocol. BMC Med Res Methodol 2023; 23:195. [PMID: 37644387 PMCID: PMC10463761 DOI: 10.1186/s12874-023-02010-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 08/07/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Implementation outcomes, including acceptability, are of critical importance in both implementation research and practice. The gold standard measure of acceptability, Acceptability of Intervention Measure (AIM), skews positively with a limited range. In an ongoing hybrid effectiveness-implementation trial, we aimed to evaluate clinician acceptability of induction standardization. Here, we describe an innovative mixed-methods approach to maximize the interpretability of the AIM using a case study in maternal health. METHODS In this explanatory sequential mixed methods study, we distributed the validated, 4-question AIM (total 4-20) to labor and delivery clinicians 6 months post-implementation at 2 sites (Site 1: 3/2021; Site 2: 6/2021). Respondents were grouped by total score into tertiles. The top ("High" Acceptability) and bottom ("Low" Acceptability) tertiles were invited to participate in a 30-minute semi-structured qualitative interview from 6/2021 to 10/2021 until thematic saturation was reached in each acceptability group. Participants were purposively sampled by role and site. Interviews were coded using an integrated approach, incorporating a priori attributes (Consolidated Framework for Implementation Research constructs) into a modified content analysis approach. RESULTS 104 clinicians completed the initial survey; 24 were interviewed (12 "High" and 12 "Low" Acceptability). Median total AIM scores were 20/20 IQR[20-20] in the High and 12.5/20 IQR[11-14] in the Low Acceptability groups. In both groups, clinicians were enthusiastic about efforts to standardize labor induction, believing it reduces inter-clinician variability and improves equitable, evidence-based care. In the Low Acceptability group, clinicians stated the need for flexibility and consideration for patient uniqueness. Rarely, clinicians felt labor induction could not or should not be standardized, citing discomfort with medicalization of labor, and concerns with "bulldozing" the patient with interventions. Suggested strategies for overcoming negative sentiment included comprehensive clinician education, as well as involving patients as active participants in the protocol prenatally. CONCLUSIONS This study utilized AIM in an innovative sequential mixed-methods approach to characterize clinician acceptability, which may be generalizable across implementation endeavors. By performing this work during a hybrid trial, implementation strategies to improve acceptability emerged (clinician education focusing on respect for flexibility; involving patients as active participants prenatally) for year 2, which will inform future multi-site work.
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Affiliation(s)
- Rebecca Feldman Hamm
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Lisa D Levine
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA
| | - Julia E Szymczak
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Samuel Parry
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA
| | - Sindhu K Srinivas
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 2 Silverstein, Philadelphia, PA, 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Faerber JA, Xiao R, Makeneni S, Schisterman EF, Brady PW, Schondelmeyer AC, Landrigan CP, Lucey K, Lee V, Gregory PF, Prasto J, Parthasarathy P, Greenfield M, Solomon C, Brent CR, Albanowski K, Beidas RS, Bonafide CP. Sustainment of continuous pulse oximetry deimplementation: Analysis of Eliminating Monitor Overuse study data from six hospitals. J Hosp Med 2023; 18:724-729. [PMID: 37380625 PMCID: PMC10527429 DOI: 10.1002/jhm.13154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/01/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023]
Abstract
Using continuous pulse oximetry (cSpO2 ) to monitor children with bronchiolitis who are not receiving supplemental oxygen is a form of medical overuse. In this longitudinal analysis from the Eliminating Monitor Overuse (EMO) study, we aimed to assess changes in cSpO2 overuse before, during, and after intensive cSpO2 -deimplementation efforts in six hospitals. Monitoring data were collected during three phases: "P1" baseline, "P2" active deimplementation (all sites engaged in education and audit and feedback strategies), and "P3" sustainment (a new baseline measured after strategies were withdrawn). Two thousand and fifty-three observations were analyzed. We found that each hospital experienced reductions during active deimplementation (P2), with overall adjusted cSpO2 overuse decreasing from 53%, 95% confidence interval (CI): (49-57) to 22%, 95% CI: (19-25) between P1 and P2. However, following the withdrawal of deimplementation strategies, overuse rebounded in all six sites, with overall adjusted cSpO2 overuse increasing to 37%, 95% CI: (33-41) in P3.
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Affiliation(s)
- Jennifer A Faerber
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Spandana Makeneni
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Enrique F Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Amanda C Schondelmeyer
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Christopher P Landrigan
- Division of General Pediatrics, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Departments of Pediatrics and Medicine, and Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Kate Lucey
- Division of Hospital Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Vivian Lee
- Division of Hospital Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Polina F Gregory
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Division of Hospital Medicine, Seattle Children's Hospital, Seattle, Washington, USA
| | - Julianne Prasto
- Division of Pediatrics, Children's Hospital of Philadelphia Pediatric Care at Penn Medicine Princeton Medical Center, Plainsboro, New Jersey, USA
| | - Padmavathy Parthasarathy
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Morgan Greenfield
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Courtney Solomon
- Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, USA
- Division of Pediatric Hospital Medicine, Children's Health Dallas, Dallas, Texas, USA
| | - Canita R Brent
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Kimberly Albanowski
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois, USA
| | - Christopher P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Clinical Futures, a Center of Emphasis within the CHOP Research Institute, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, Pennsylvania, USA
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29
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Merchant RM, Southwick L, Beidas RS, Mandell DS, Guntuku SC, Pelullo A, Yang L, Mitra N, Curtis B, Ungar L, Asch DA. Effect of Integrating Patient-Generated Digital Data Into Mental Health Therapy: A Randomized Controlled Trial. Psychiatr Serv 2023; 74:876-879. [PMID: 36545773 PMCID: PMC10949211 DOI: 10.1176/appi.ps.20220272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The authors sought to determine whether providing summaries of patients' social media and other digital data to patients and their clinicians improves patients' health-related quality of life (HRQoL) measured by the RAND 36-Item Short Form Health Survey (SF-36). METHODS The authors randomly assigned 115 adults receiving outpatient mental health therapy to usual care or to periodic sharing of summaries of their digital data with their clinician providing psychosocial therapy. The study was conducted October 2020-December 2021. RESULTS Patients' mean±SD age was 31.3±10.5 years, and 82% were women. At 60 days after enrollment, no statistically significant change was detected in SF-36 scores for patients randomly allocated to the intervention (mean difference=-0.39, 95% CI=-4.17, 3.39) or to usual care (mean difference=-1.98, 95% CI=-5.74, 1.77), and no significant between-arm difference was observed (between-arm difference=1.60, 95% CI=-3.67, 6.86). CONCLUSIONS Collecting and summarizing digital data for use in mental health treatment was feasible for patients but did not significantly improve their HRQoL or other measures of mental health.
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Affiliation(s)
- Raina M Merchant
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Lauren Southwick
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Rinad S Beidas
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - David S Mandell
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Sharath Chandra Guntuku
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Art Pelullo
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Lin Yang
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Nandita Mitra
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Brenda Curtis
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - Lyle Ungar
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
| | - David A Asch
- Center for Digital Health (Merchant, Southwick, Guntuku, Pelullo, Ungar) and Center for Health Care Innovation (Asch), Penn Medicine, University of Pennsylvania, Philadelphia; Departments of Emergency Medicine (Merchant, Southwick), Psychiatry (Beidas, Mandell), and Biostatistics, Epidemiology, and Informatics (Mitra), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago (Beidas); Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Yang); Intramural Research Program, National Institute on Drug Abuse, Baltimore (Curtis); Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia (Ungar, Guntuku)
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Palermo EH, Young AV, Deswert S, Brown A, Goldberg M, Sultanik E, Tan J, Mazefsky CA, Brookman-Frazee L, McPartland JC, Goodwin MS, Pennington J, Marcus SC, Beidas RS, Mandell DS, Nuske HJ. A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial. JMIR Res Protoc 2023; 12:e45852. [PMID: 37358908 PMCID: PMC10337316 DOI: 10.2196/45852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/24/2023] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and family well-being, contribute to teacher burnout, and even require hospitalization. Evidence-based practices to reduce these behaviors emphasize identifying triggers (events or antecedents that lead to challenging behaviors); however, parents and teachers often report that challenging behaviors surface with little warning. Exciting recent advances in biometric sensing and mobile computing technology allow the measurement of momentary emotion dysregulation using physiological indexes. OBJECTIVE We present the framework and protocol for a pilot trial that will test a mobile digital mental health app, the KeepCalm app. School-based approaches to managing challenging behaviors in children on the autism spectrum are limited by 3 key factors: children on the autism spectrum often have difficulties in communicating their emotions; it is challenging to implement evidence-based, personalized strategies for individual children in group settings; and it is difficult for teachers to track which strategies are successful for each child. KeepCalm aims to address those barriers by communicating children's stress to their teachers using physiological signaling (emotion dysregulation detection), supporting the implementation of emotion regulation strategies via smartphone pop-up notifications of top strategies for each child according to their behavior (emotion regulation strategy implementation), and easing the task of tracking outcomes by providing the child's educational team with a tool to track the most effective emotion regulation strategies for that child based on physiological stress reduction data (emotion regulation strategy evaluation). METHODS We will test KeepCalm with 20 educational teams of students on the autism spectrum with challenging behaviors (no exclusion based on IQ or speaking ability) in a pilot randomized waitlist-controlled field trial over a 3-month period. We will examine the usability, acceptability, feasibility, and appropriateness of KeepCalm as primary outcomes. Secondary preliminary efficacy outcomes include clinical decision support success, false positives or false negatives of stress alerts, and the reduction of challenging behaviors and emotion dysregulation. We will also examine technical outcomes, including the number of artifacts and the proportion of time children are engaged in high physical movement based on accelerometry data; test the feasibility of our recruitment strategies; and test the response rate and sensitivity to change of our measures, in preparation for a future fully powered large-scale randomized controlled trial. RESULTS The pilot trial will begin by September 2023. CONCLUSIONS Results will provide key data about important aspects of implementing KeepCalm in preschools and elementary schools and will provide preliminary data about its efficacy to reduce challenging behaviors and support emotion regulation in children on the autism spectrum. TRIAL REGISTRATION ClinicalTrials.gov NCT05277194; https://www.clinicaltrials.gov/ct2/show/NCT05277194. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/45852.
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Affiliation(s)
- Emma H Palermo
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Amanda V Young
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sky Deswert
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Alyssa Brown
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Miranda Goldberg
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Jessica Tan
- School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Carla A Mazefsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Lauren Brookman-Frazee
- Department of Psychiatry, University of California San Diego, San Diego, CA, United States
| | | | - Matthew S Goodwin
- Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States
| | - Jeffrey Pennington
- Children's Hospital of Philadelphia Research Institute, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Steven C Marcus
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, United States
| | - Rinad S Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - David S Mandell
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Heather J Nuske
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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31
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Lawson GM, Jawad AF, Comly R, Khanna M, Glick HA, Beidas RS, Goldstein J, Brizzolara-Dove S, Wilson T, Rabenau-McDonnell Q, Eiraldi R. A comparison of two group cognitive behavioral therapy protocols for anxiety in urban schools: appropriateness, child outcomes, and cost-effectiveness. Front Psychiatry 2023; 14:1105630. [PMID: 37426105 PMCID: PMC10328418 DOI: 10.3389/fpsyt.2023.1105630] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/16/2023] [Indexed: 07/11/2023] Open
Abstract
Background Cognitive behavioral therapy (CBT) for pediatric anxiety is efficacious for reducing anxiety symptoms and improving functioning, but many children are unable to access CBT for anxiety in community settings. Schools are an important setting in which children access mental health care, including therapy for anxiety. In this setting, therapy is usually delivered by Masters-level therapists. Objectives Friends for Life (FRIENDS), a 12-session, manualized, group CBT program for anxiety has demonstrated effectiveness when implemented in schools. However, prior research has also found challenges regarding feasibility and cultural fit when delivering FRIENDS in the urban school context. To address these challenges, we adapted FRIENDS for implementation in the school setting so that it might be more feasible and culturally appropriate for low-income, urban schools in the United States, while maintaining the core components of treatment. The current study uses a mixed-method approach to compare the effectiveness, cost-effectiveness, and perceived appropriateness of FRIENDS and CATS when delivered by Masters-level therapists with train-the-trainer support. Materials and methods First, we compared change scores for student outcomes (i.e., child-report MASC-2 total score, parent-report MASC-2 total score, teacher-report Engagement and Disaffection subscale scores) from pre- to post- treatment between students receiving FRIENDS and students receiving CATS to assess whether the two conditions resulted in equivalent outcomes. Second, we compared the cost and cost-effectiveness between the groups. Finally, we used an applied thematic analysis to compare appropriateness of the interventions as perceived by therapists and supervisors. Results The mean change score for the child-reported MASC-2 was 1.9 (SE = 1.72) points in the FRIENDS condition and 2.9 (SE = 1.73) points in the CATS condition; results indicated that the conditions were similar in their treatment effects, and symptom reductions were small in both groups. The modified protocol, CATS, was shown to cost significantly less to implement compared to FRIENDS and showed greater cost-effectiveness. Finally, compared to therapists and supervisors in the CATS condition, therapists and supervisors in the FRIENDS condition more strongly described aspects of the intervention that were not appropriate for their context and in need of more extensive adaptations. Conclusion Relatively brief, group CBT for anxiety, with adaptations to improve cultural fit, is a promising approach to treat youth anxiety symptom when delivered by school-based therapists with train-the-trainer implementation support.
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Affiliation(s)
- Gwendolyn M. Lawson
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Abbas F. Jawad
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rachel Comly
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Muniya Khanna
- OCD and Anxiety Institute, Bryn Mawr, PA, United States
| | - Henry A. Glick
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Feinberg School of Medicine Northwestern University, Chicago, IL, United States
| | - Jessica Goldstein
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | | | - Tara Wilson
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | | | - Ricardo Eiraldi
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Pellecchia M, Mandell DS, Beidas RS, Dunst CJ, Tomczuk L, Newman J, Zeigler L, Stahmer AC. Parent Coaching in Early Intervention for Autism Spectrum Disorder: A Brief Report. J Early Interv 2023; 45:185-197. [PMID: 37655268 PMCID: PMC10469633 DOI: 10.1177/10538151221095860] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Coaching caregivers of young children on the autism spectrum is a critical component of parent-mediated interventions. Little information is available about how providers implement parent coaching for children on the autism spectrum in publicly funded early intervention systems. This study evaluated providers' use of parent coaching in an early intervention system. Twenty-five early intervention sessions were coded for fidelity to established caregiver coaching techniques. We found low use of coaching techniques overall, with significant variability in use of coaching across providers. When providers did coach caregivers, they used only a few coaching strategies (e.g., collaboration and in-vivo feedback). Results indicate that targeted training and implementation strategies focused on individual coaching components, instead of coaching more broadly, may be needed to improve the use of individual coaching strategies. A focus on strengthening the use of collaboration and in-vivo feedback may be key to improving coaching fidelity overall.
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Affiliation(s)
- Melanie Pellecchia
- Center for Mental Health, Psychiatry Department, Perelman School of Medicine, University of Pennsylvania
| | - David S. Mandell
- Center for Mental Health, Psychiatry Department, Perelman School of Medicine, University of Pennsylvania
| | - Rinad S. Beidas
- Departments of Psychiatry, Medical Ethics and Health Policy, & Medicine; Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI); Center for Health Incentives and Behavioral Economics (CHIBE);Perelman School of Medicine, University of Pennsylvania
| | | | - Liza Tomczuk
- Center for Mental Health, Psychiatry Department, Perelman School of Medicine, University of Pennsylvania
| | - Jeannette Newman
- Philadelphia Infant and Toddler Early Intervention, Department of Behavioral Health and Intellectual DisAbility Services
| | - Lisa Zeigler
- Philadelphia Infant and Toddler Early Intervention, Department of Behavioral Health and Intellectual DisAbility Services
| | - Aubyn C. Stahmer
- Department of Psychiatry and Behavioral Sciences, University of California Davis
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Schnoll RA, Leone FT, Quinn MH, Stevens N, Flitter A, Wileyto P, Kimberly J, Beidas RS, Hatzell J, Siegel SD, Crawford G, Hill N, Deatley T, Ziedonis D. A randomized clinical trial testing two implementation strategies to promote the treatment of tobacco dependence in community mental healthcare. Drug Alcohol Depend 2023; 247:109873. [PMID: 37084508 DOI: 10.1016/j.drugalcdep.2023.109873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 04/23/2023]
Abstract
INTRODUCTION People with serious mental illness (SMI) are more likely to smoke and less likely to receive tobacco treatment. Implementation strategies may address clinician and organizational barriers to treating tobacco in mental healthcare. METHODS A cluster-randomized trial (Clinic N=13, Client N=610, Staff N=222) tested two models to promote tobacco treatment in community mental healthcare: standard didactic training vs. Addressing Tobacco Through Organizational Change (ATTOC), an organizational model that provides clinician and leadership training and addresses system barriers to tobacco treatment. Primary outcomes were changes in tobacco treatment from clients, staff, and medical records. Secondary outcomes were changes in smoking, mental health, and quality of life (QOL), and staff skills and barriers to treat tobacco. RESULTS Clients at ATTOC sites reported a significant increase in receiving tobacco treatment from clinician at weeks 12 and 24 (ps<0.05) and tobacco treatments and policies from clinics at weeks 12, 24, 36, and 52 (ps<0.05), vs. standard sites. ATTOC staff reported a significant increase in skills to treat tobacco at week 36 (p=0.05), vs. standard sites. For both models, tobacco use medications, from clients (week 52) and medical records (week 36), increased (ps<0.05), while perceived barriers decreased at weeks 24 and 52 (ps<0.05); 4.3% of clients quit smoking which was not associated with model. QOL and mental health improved over 24 weeks for both models (ps<0.05). CONCLUSIONS Standard training and ATTOC improve use of evidence-based tobacco treatments in community mental healthcare without worsening mental health, but ATTOC may more effectively address this practice gap.
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Affiliation(s)
- Robert A Schnoll
- Department of Psychiatry and Abramson Cancer Center, University of Pennsylvania, United States.
| | - Frank T Leone
- Pulmonary, Allergy, & Critical Care Division, University of Pennsylvania, United States
| | - Mackenzie Hosie Quinn
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Nathaniel Stevens
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Alex Flitter
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Paul Wileyto
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - John Kimberly
- The Wharton School of Business, University of Pennsylvania, United States
| | - Rinad S Beidas
- Perelman School of Medicine, University of Pennsylvania, United States; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, United States
| | - Jane Hatzell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Scott D Siegel
- Institute for Research on Equity & Community Health (iREACH) and Helen F. Graham Cancer Center & Research Institute, Christiana Care Health System,United States
| | - Grace Crawford
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Naja Hill
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Teresa Deatley
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
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Beidas RS, Saldana L, Shelton RC. Testing psychosocial interventions in the contexts they are meant to be delivered. J Consult Clin Psychol 2023; 91:189-191. [PMID: 36780266 PMCID: PMC10175148 DOI: 10.1037/ccp0000797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
This article discusses psychosocial interventions in the contexts they are meant to be delivered. Prevention and intervention science often follow the linear pathway of preclinical or pre-intervention research-efficacy trials, effectiveness trials, and implementation studies-with the assessment of translation into public and population health impact occurring at the end. This linear translational pathway follows stages developed for ascertaining safe, efficacious, and effective dosages for biological compounds. This approach has created limitations in the need to rapidly deploy complex, multi-component, multilevel approaches to change behavior and improve health into widespread practice for diverse clinical and public health settings. While it is important to use efficacy trials when safety is yet to be established, when the risks are identified to be low, as is often the case for psychosocial interventions, we can go faster to achieve equitable population health impact. The authors recommend that clinical trialists engaged in intervention development incorporate two considerations in the next generation of prevention and intervention research. First, consider moving right to effectiveness or pragmatic trials, as the most valid test of an intervention is the est of that intervention in the context(s) in which it is intended. Second, when designing effectiveness studies, consider investigating questions related to both effectiveness (i.e., does the intervention improve clinical outcomes) and implementation (i.e., what supports are needed to deploy the intervention routinely in that context) to accelerate impact. As a matter of both ethics and equity, there is a need to expedite the research-to-practice pipeline at a pace faster than is made available through current approaches. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Rinad S Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine
| | | | - Rachel C Shelton
- Department of Sociomedical Sciences, Columbia's Mailman School of Public Health
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Davis M, Siegel J, Becker-Haimes EM, Jager-Hyman S, Beidas RS, Young JF, Wislocki K, Futterer A, Mautone JA, Buttenheim AM, Mandell DS, Marx D. Identifying Common and Unique Barriers and Facilitators to Implementing Evidence-Based Practices for Suicide Prevention across Primary Care and Specialty Mental Health Settings. Arch Suicide Res 2023; 27:192-214. [PMID: 34651544 PMCID: PMC9930207 DOI: 10.1080/13811118.2021.1982094] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE We identified common and unique barriers and facilitators of evidence-based suicide prevention practices across primary care practices with integrated behavioral health services and specialty mental health settings to identify generalizable strategies for enhancing future implementation efforts. METHOD Twenty-six clinicians and practice leaders from behavioral health (n = 2 programs) and primary care (n = 4 clinics) settings participated. Participation included a semi-structured qualitative interview on barriers and facilitators to implementing evidence-based suicide prevention practices. Within that interview, clinicians participated in a chart-stimulated recall exercise to gather additional information about decision making regarding suicide screening. Interview guides and qualitative coding were informed by leading frameworks in implementation science and behavioral science, and an integrated approach to interpreting qualitative results was used. RESULTS There were a number of similar themes associated with implementation of suicide prevention practices across settings and clinician types, such as the benefits of inter-professional collaboration and uncertainties about managing suicidality once risk was disclosed. Clinicians also highlighted barriers unique to their settings. For primary care settings, time constraints and competing demands were consistently described as barriers. For specialty mental health settings, difficulties coordinating care with schools and other providers in the community made implementation of suicide prevention practices challenging. CONCLUSION Findings can inform the development and testing of implementation strategies that are generalizable across primary care and specialty mental health settings, as well as those tailored for unique site needs, to enhance use of evidence-based suicide prevention practices in settings where individuals at risk for suicide are especially likely to present.HIGHLIGHTSWe examined barriers and facilitators to suicide prevention across health settings.Common and unique barriers and facilitators across health-care settings emerged.Findings can enhance suicide prevention implementation across health-care settings.
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Affiliation(s)
- Molly Davis
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA
| | - Jennifer Siegel
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Emily M. Becker-Haimes
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Hall Mercer Community Mental Health, University of Pennsylvania Health System
| | - Shari Jager-Hyman
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Rinad S. Beidas
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
- Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA
| | - Jami F. Young
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, and PolicyLab, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Katherine Wislocki
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Anne Futterer
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Jennifer A. Mautone
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, and PolicyLab, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Alison M. Buttenheim
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
- Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA
| | - David S. Mandell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Darby Marx
- Weill Cornell Medical College of Cornell University, New York, NY
| | - Courtney Benjamin Wolk
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
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Becker-Haimes EM, Wislocki K, DiDonato S, Beidas RS, Jensen-Doss A. Youth Trauma Histories are Associated with Under-diagnosis and Under-treatment of Co-occurring Youth Psychiatric Symptoms. J Clin Child Adolesc Psychol 2023; 52:184-195. [PMID: 34038229 PMCID: PMC8617069 DOI: 10.1080/15374416.2021.1923020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE We examined whether in the presence of trauma exposure, non-traumatic stress-related symptoms are interpreted by mental health clinicians as less salient than the trauma exposure and are de-emphasized as a treatment target, consistent with a diagnostic overshadowing bias. METHODS Using an adapted version of a diagnostic overshadowing bias experimental paradigm, mental health clinicians (N = 266, M age = 34.4 years, 82% female) were randomly assigned to receive two of six clinical vignette variations. Vignette 1 described an adolescent with obsessive-compulsive disorder (OCD). Vignette 2 described a pre-adolescent with oppositional defiant disorder (ODD). Vignettes were identical except for whether the youth reported exposure to a potentially traumatic event (PTE; no PTE, sexual PTE, or physical PTE). Clinicians received one vignette with a PTE and one without, counterbalancing order. Clinicians rated the likelihood the youth met criteria for various diagnoses and the appropriateness of various treatments on 7-point scales. RESULTS Across both vignettes, clinicians rated the target diagnosis (OCD in Vignette 1, ODD in Vignette 2) as less likely for vignettes with a PTE than for the same vignettes without a PTE. Clinicians also rated evidence-based treatment modalities for target diagnoses as less appropriate in the presence of a PTE than when a PTE was present. CONCLUSIONS Consistent with possible bias, clinicians may under-recognize and under-treat non-traumatic stress-related mental health symptoms in youth with a co-occurring trauma history. Future work to validate this bias in real-world practice is indicated.
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Affiliation(s)
- Emily M. Becker-Haimes
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA
- Hall Mercer Community Mental Health, University of
Pennsylvania Health System
| | - Katherine Wislocki
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA
| | - Stephen DiDonato
- College of Nursing, Thomas Jefferson University,
Philadelphia, PA
| | - Rinad S. Beidas
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA
- Department of Medical Ethics and Health Policy, University
of Perelman School of Medicine, Philadelphia, PA
- Penn Implementation Science Center at the Leonard Davis
Institute of Health Economics (PISCE@LDI), University of Pennsylvania
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Woods-Hill CZ, Nelson MN, Eriksen W, Rendle KA, Beidas RS, Bonafide CP, Brajcich MR, Milstone AM, Shea JA. Determinants of Blood Culture Use in Critically Ill Children: A Multicenter Qualitative Study. Pediatr Qual Saf 2023; 8:e647. [PMID: 37051407 PMCID: PMC10085482 DOI: 10.1097/pq9.0000000000000647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 03/11/2023] [Indexed: 04/14/2023] Open
Abstract
Blood cultures are fundamental in diagnosing and treating sepsis in the pediatric intensive care unit (PICU), but practices vary widely. Overuse can lead to false positive results and unnecessary antibiotics. Specific factors underlying decisions about blood culture use and overuse are unknown. Therefore, we aimed to identify perceived determinants of blood culture use in the PICU. Methods We conducted semistructured interviews of clinicians (M.D., D.O., R.N., N.P., P.A.) from 6 PICUs who had participated in a quality improvement collaborative about blood culture practices. We developed interview questions by combining elements of the Consolidated Framework for Implementation Research and behavioral economics. We conducted telephone interviews, open-coded the transcripts, and used modified content analysis to determine key themes and mapped themes to elements of Consolidated Framework for Implementation Research and behavioral economics. Results We reached thematic saturation in 24 interviews. Seven core themes emerged across 3 Consolidated Framework for Implementation Research domains: individual characteristics [personal belief in the importance of blood cultures, the perception that blood cultures are a low-risk test]; inner setting [adherence to site-specific usual practices, site-specific overall approach to PICU care (collaborative versus hierarchical), influence of non-PICU clinicians on blood culture decisions]; and outer setting [patient-specific risk factors, sepsis guidelines]. In addition, outcome bias, default bias, and loss aversion emerged as salient behavioral economics concepts. Conclusions Determinants of blood culture use include individual clinician characteristics, inner setting, and outer setting, as well as default bias, outcome bias, and loss aversion. These determinants will now inform the development of candidate strategies to optimize culture practices.
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Affiliation(s)
- Charlotte Z. Woods-Hill
- From the Division of Critical Care Medicine, The Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia Pa
| | - Maria N. Nelson
- University of Pennsylvania Mixed Methods Research Laboratory
| | | | | | | | - Christopher P. Bonafide
- Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Michelle R. Brajcich
- From the Division of Critical Care Medicine, The Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa
| | - Aaron M. Milstone
- Division of Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Judy A. Shea
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
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Hodson N, Majid M, James R, Graham EK, Mroczek DK, Beidas RS. How do financial incentives in parenting skills programs effect engagement and outcomes? A systematic review and meta-analysis protocol. JBI Evid Synth 2023:02174543-990000000-00135. [PMID: 36744375 DOI: 10.11124/jbies-22-00214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE This systematic review will investigate the effects of financial incentives on engagement with and outcomes of evidence-based parenting skills programs to prevent and treat disruptive behavior disorders. INTRODUCTION Evidence-based parenting skills programs are a first-line treatment in disruptive behavior disorders (ie, oppositional defiant disorder, conduct disorder, and attention-deficit/hyperactivity disorder), but fewer than half of referred parents complete these programs. When untreated, children affected by disruptive behavior disorders are at elevated risk for incarceration, drug misuse, and education under-performance. Financial incentives can improve parents' engagement with parenting skills programs and are increasingly popular strategies in public health policy to increase rates of compliance with health interventions. However, no previous systematic review or meta-analysis of financial incentives in parenting skills programs has been conducted. INCLUSION CRITERIA Randomized controlled trials or quasi-experimental studies (ie, studies with a control group allocated through a non-random process) testing the effects of financial incentives on engagement will be included. Study participants must be in a guardian role to a person under 18 years of age. There will be no restrictions on country setting. Only English-language publications will be included. METHODS We will search PubMed, CINAHL, Sociological Abstracts, Cochrane Trials, and PsycINFO databases for relevant articles. Two independent reviewers will screen abstracts for eligibility. Data will be extracted from eligible articles by 2 researchers and results will be presented in tabular and narrative format, along with a meta-analysis using a random effects model and assessment of heterogeneity. SYSTEMATIC REVIEW REGISTRATION NUMBER PROSPERO CRD42022336210.
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Affiliation(s)
- Nathan Hodson
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Madiha Majid
- Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
| | | | - Eileen K Graham
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Daniel K Mroczek
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rinad S Beidas
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Lawson GM, Comly R, Beidas RS, Khanna MS, Goldstein J, Brizzolara-Dove S, Wilson T, Rabenau-McDonnell Q, Eiraldi R. Therapist and supervisor perspectives about two train-the-trainer implementation strategies in schools: A qualitative study. Implement Res Pract 2023; 4:26334895231190854. [PMID: 37790186 PMCID: PMC10403977 DOI: 10.1177/26334895231190854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
Background Train-the-trainer (TT) implementation strategies (in which designated clinicians are trained to then train others in an intervention) are promising approaches to support mental health clinician use of evidence-based interventions in school contexts. However, there is little evidence to date examining clinicians' perceptions of the acceptability and feasibility of TT strategies, or comparing clinicians' perceptions of different types of TT strategies. Methods The current study was conducted as part of a larger hybrid effectiveness-implementation trial, in which school-based therapists and supervisors received one of two different types of implementation support to implement cognitive behavioral therapy (CBT) groups for anxiety: TT (i.e., initial training for therapists and supervisors) or enhanced TT (TT+; i.e., initial training for therapists and supervisors, and ongoing external consultation for supervisors). We used applied thematic analysis to compare qualitative interview transcripts from 28 therapist interviews and 33 supervisor interviews from therapists and supervisors who received TT or TT+ support and report themes that were similar and different across the two groups. Results Most themes were similar across the TT and TT+ conditions: therapists and supervisors in both conditions perceived the group anxiety intervention as acceptable and viewed supervision as acceptable, helpful, and feasible. Therapists and supervisors in both conditions had mixed impressions of the contextual appropriateness of the group anxiety intervention, and some reported logistical challenges with weekly supervision. Some unique themes were identified among the TT+ condition, including supervisors experiencing professional growth, and therapists and supervisors perceiving supervision as critically important and enjoyable. Conclusions These results suggest that TT implementation support, using a model in which an internal supervisor receives initial training and then provides ongoing supervision, is acceptable and feasible to support a group CBT intervention in schools. The results also highlight additional benefits that therapists and supervisors perceived when supervisors received ongoing consultation. Clinical Trial Registration Information The clinical trial from which these data were derived was registered at ClinicalTrials.gov (https://clinicaltrials.gov/) prior to the time of first patient enrollment. The registration number is: NCT02651402.
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Affiliation(s)
- Gwendolyn M. Lawson
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rachel Comly
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rinad S. Beidas
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | - Tara Wilson
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Ricardo Eiraldi
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Last BS, Johnson C, Dallard N, Fernandez-Marcote S, Zinny A, Jackson K, Cliggitt L, Rudd BN, Mills C, Beidas RS. Implementing trauma-focused cognitive behavioral therapy in Philadelphia: A 10-year evaluation. Implement Res Pract 2023; 4:26334895231199467. [PMID: 37790185 PMCID: PMC10496473 DOI: 10.1177/26334895231199467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
Background: In 2012, Philadelphia's Department of Behavioral Health and Intellectual disAbility Services (DBHIDS) developed an initiative to implement an evidence-based treatment for posttraumatic stress disorder (PTSD), trauma-focused cognitive behavioral therapy (TF-CBT), across the city's behavioral health system. This report evaluates the initiative's 10-year implementation and effectiveness outcomes. Method: The Exploration, Preparation, Implementation, and Sustainment framework guided our implementation evaluation. The implementation outcomes include adoption, reach, and sustainment; these were obtained during regular evaluation data collection from publicly funded behavioral health agencies participating in the TF-CBT initiative. We analyze effectiveness outcomes (i.e., changes in PTSD symptoms) from a subset of patients receiving TF-CBT, which were collected in 6-month intervals by our research team between 2013 and 2021. Results: From 2012 to 2021, DBHIDS trained 478 clinicians in TF-CBT across 20 behavioral health agencies. During this time, 23,401 youths were screened for potentially traumatic events and PTSD symptoms, and 7,550 youths received TF-CBT. Through the TF-CBT initiative, the city expanded the network of TF-CBT providers from 3 to 20 agencies. DBHIDS sustained this network by maintaining the participation of 16 behavioral health agencies over the course of a decade. The subset of 202 youths who were evaluated to assess TF-CBT effectiveness was drawn from 94 therapists and 20 agencies across Philadelphia. All participating youths completed a baseline assessment, and 151 (75%) completed at least one follow-up assessment. Linear mixed-effects models accounting for observations nested within participants and nested within clinicians found that treatment significantly reduced PTSD symptoms. Conclusion: Between 2012 and 2021, DBHIDS successfully implemented and sustained TF-CBT across the city's behavioral health system. Adoption, reach, and sustainment of TF-CBT were high. Despite the considerable adverse experiences faced by youths seeking treatment in Philadelphia's behavioral health system, TF-CBT was effective. Future directions to improve TF-CBT implementation in the next iteration of the initiative are described.
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Affiliation(s)
- Briana S. Last
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christina Johnson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Natalie Dallard
- Community Behavioral Health, Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, USA
| | - Sara Fernandez-Marcote
- Community Behavioral Health, Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, USA
| | - Arturo Zinny
- Community Behavioral Health, Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, USA
- Center for Nonviolence and Social Justice, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Kamilah Jackson
- Community Behavioral Health, Philadelphia Department of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA, USA
- Talawa International Consultants, Philadelphia, PA, USA
| | - Lauren Cliggitt
- Hall-Mercer Community Mental Health Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brittany N. Rudd
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - Chynna Mills
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Rinad S. Beidas
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Maddox BB, Phan ML, Byeon YV, Wolk CB, Stewart RE, Powell BJ, Okamura KH, Pellecchia M, Becker-Haimes EM, Asch DA, Beidas RS. Metrics to evaluate implementation scientists in the USA: what matters most? Implement Sci Commun 2022; 3:75. [PMID: 35842690 PMCID: PMC9287698 DOI: 10.1186/s43058-022-00323-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 06/28/2022] [Indexed: 11/18/2022] Open
Abstract
Background Implementation science has grown rapidly as a discipline over the past two decades. An examination of how publication patterns and other scholarly activities of implementation scientists are weighted in the tenure and promotion process is needed given the unique and applied focus of the field. Methods We surveyed implementation scientists (mostly from the USA) to understand their perspectives on the following matters: (1) factors weighted in tenure and promotion for implementation scientists, (2) how important these factors are for success as an implementation scientist, (3) how impact is defined for implementation scientists, (4) top journals in implementation science, and (5) how these journals are perceived with regard to their prestige. We calculated univariate descriptive statistics for all quantitative data, and we used Wilcoxon signed-rank tests to compare the participants’ ratings of various factors. We analyzed open-ended qualitative responses using content analysis. Results One hundred thirty-two implementation scientists completed the survey (response rate = 28.9%). Four factors were rated as more important for tenure and promotion decisions: number of publications, quality of publication outlets, success in obtaining external funding, and record of excellence in teaching. Six factors were rated as more important for overall success as an implementation scientist: presentations at professional meetings, involvement in professional service, impact of the implementation scientist’s scholarship on the local community and/or state, impact of the implementation scientist’s scholarship on the research community, the number and quality of the implementation scientist’s community partnerships, and the implementation scientist’s ability to disseminate their work to non-research audiences. Participants most frequently defined and described impact as changing practice and/or policy. This expert cohort identified Implementation Science as the top journal in the field. Conclusions Overall, there was a significant mismatch between the factors experts identified as being important to academic success (e.g., tenure and promotion) and the factors needed to be a successful implementation scientist. Findings have important implications for capacity building, although they are largely reflective of the promotion and tenure process in the USA. Supplementary Information The online version contains supplementary material available at 10.1186/s43058-022-00323-0.
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Hoskins K, Linn KA, Ahmedani BK, Boggs JM, Johnson C, Heintz J, Marcus SC, Kaminer I, Zabel C, Wright L, Quintana LM, Buttenheim AM, Daley MF, Elias ME, Jager-Hyman S, Lieberman A, Lyons J, Maye M, McArdle B, Ritzwoller DP, Small DS, Westphal J, Wolk CB, Zhang S, Shelton RC, Beidas RS. Equitable implementation of S.A.F.E. Firearm: A multi-method pilot study. Prev Med 2022; 165:107281. [PMID: 36191653 PMCID: PMC10013361 DOI: 10.1016/j.ypmed.2022.107281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/23/2022] [Accepted: 09/24/2022] [Indexed: 02/08/2023]
Abstract
Attention to health equity is critical in the implementation of firearm safety efforts. We present our operationalization of equity-oriented recommendations in preparation for launch of a hybrid effectiveness-implementation trial focused on firearm safety promotion in pediatric primary care as a universal suicide prevention strategy. In Step 1 of our process, pre-trial engagement with clinican partners and literature review alerted us that delivery of a firearm safety program may vary by patients' medical complexity, race, and ethnicity. In Step 2, we selected the Health Equity Implementation Framework to inform our understanding of contextual determinants (i.e., barriers and facilitators). In Step 3, we leveraged an implementation pilot across 5 pediatric primary care clinics in 2 health system sites to study signals of inequities. Eligible well-child visits for 694 patients and 47 clinicians were included. Our results suggested that medical complexity was not associated with program delivery. We did see potential signals of inequities by race and ethnicity but must interpret with caution. Though we did not initially plan to examine differences by sex assigned at birth, we discovered that clinicians may be more likely to deliver the program to parents of male than female patients. Seven qualitative interviews with clinicians provided additional context. In Step 4, we interrogated equity considerations (e.g., why and how do these inequities exist). In Step 5, we will develop a plan to probe potential inequities related to race, ethnicity, and sex in the fully powered trial. Our process highlights that prospective, rigorous, exploratory work is vital for equity-informed implementation trials.
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Affiliation(s)
- Katelin Hoskins
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Kristin A Linn
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian K Ahmedani
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, MI, USA
| | - Jennifer M Boggs
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Christina Johnson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jonathan Heintz
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven C Marcus
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA
| | - Isabelle Kaminer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Celeste Zabel
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, MI, USA
| | - Leslie Wright
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - LeeAnn M Quintana
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | | | - Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Marisa E Elias
- Department of Pediatrics, Henry Ford Health, Detroit, MI, USA
| | - Shari Jager-Hyman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Adina Lieberman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jason Lyons
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Melissa Maye
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, MI, USA
| | - Bridget McArdle
- Department of Pediatrics, Henry Ford Health, Detroit, MI, USA
| | - Debra P Ritzwoller
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Dylan S Small
- Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
| | - Joslyn Westphal
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, MI, USA
| | | | - Shiling Zhang
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, MI, USA
| | - Rachel C Shelton
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Rinad S Beidas
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Van Pelt AE, Lowenthal ED, Phoi O, Tshume O, Matshaba M, Beidas RS. Medical stakeholder perspectives on implementing a computerized battery to identify neurocognitive impairments among youth in Botswana. AIDS Care 2022; 34:1513-1521. [PMID: 34663144 PMCID: PMC9013727 DOI: 10.1080/09540121.2021.1990202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/04/2021] [Indexed: 01/26/2023]
Abstract
HIV infection and in utero exposure, common in Sub-Saharan Africa, are associated with pediatric neurocognitive impairment. Cognitive screening can identify impairments, but it is rarely used in this setting. The Penn Computerized Neurocognitive Battery (PennCNB), an evidence-based cognitive screening tool, was adapted for use in Botswana. To facilitate future implementation, 20 semi-structured interviews were conducted to elicit key stakeholders' perspectives on factors likely to be related to successful uptake of the PennCNB in clinical settings. An integrated analytic approach combining constructs from the Consolidated Framework for Implementation Research and modified grounded theory was used. Results underscore the need for cognitive screening in Botswana and the acceptability of the PennCNB. Implementation barriers include limited time and resources, whereas facilitators include standard procedures for introducing new tools into medical settings and for training implementers. Recommended implementation strategies include integrating screening into the existing workflow, implementing the tool in the medical and educational sectors, and targeting selection of children for assessment. This research addresses the research-to-practice gap by engaging in pre-implementation inquiry and designing for implementation. Results will inform the development of strategies to maximize the likelihood of successful implementation of the PennCNB to identify neurocognitive impairment in children in this high-need setting.
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Affiliation(s)
- Amelia E. Van Pelt
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Children’s Hospital of Philadelphia Global Health Center, Philadelphia, Pennsylvania, United States
- Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, United States
| | - Elizabeth D. Lowenthal
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Children’s Hospital of Philadelphia Global Health Center, Philadelphia, Pennsylvania, United States
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Onkemetse Phoi
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Ontibile Tshume
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Mogomotsi Matshaba
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Rinad S. Beidas
- Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, United States
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, United States
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States
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Candon M, Williams N, Zentgraf K, Buttenheim A, Bewtra M, Beidas RS, Stewart RE. Variation in Stakeholder Preferences for Implementing Evidence-Based Practices in Behavioral Health Care. Psychiatr Serv 2022; 73:1270-1273. [PMID: 35319915 PMCID: PMC9500117 DOI: 10.1176/appi.ps.202100453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Objective The authors examined whether stakeholders in behavioral health care differ in their preferences for strategies that support the implementation of evidence-based practices (EBPs). Methods Using data collected in March and April 2019 in a survey of stakeholders in Philadelphia Medicaid’s behavioral health care system, the authors compared empirical Bayes preference weights for implementation strategies across clinicians, supervisors, agency executives, and payers. Results Preferences for implementation strategies overlapped among the stakeholders (N=357 survey respondents). Financial incentives were consistently ranked as most useful and performance feedback as the least useful for implementing EBPs. However, areas of divergence were identified. For example, payers preferred compensation for EBP delivery, whereas clinicians considered compensation for time spent on preparing for EBPs as equally useful. Conclusions The observed variation in stakeholder preferences for strategies to implement EBPs may shed light on why the ongoing shift from volume to value in behavioral health care has had mixed results.
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Affiliation(s)
- Molly Candon
- Center for Mental Health, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | | | - Kelly Zentgraf
- Center for Mental Health, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alison Buttenheim
- Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Family and Community Health, School of Nursing, University of Pennsylvania
| | - Meenakshi Bewtra
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rinad S. Beidas
- Center for Mental Health, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Penn Implementation Science Center (PISCE@LDI), Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Rebecca E. Stewart
- Center for Mental Health, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
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Ullman AJ, Beidas RS, Bonafide CP. Methodological progress note: Hybrid effectiveness-implementation clinical trials. J Hosp Med 2022; 17:912-916. [PMID: 35934981 PMCID: PMC9804495 DOI: 10.1002/jhm.12936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/18/2022] [Accepted: 07/22/2022] [Indexed: 01/05/2023]
Affiliation(s)
- Amanda J. Ullman
- School of Nursing, Midwifery and Social WorkThe University of QueenslandBrisbaneQueenslandAustralia
- Centre for Children's Health ResearchChildren's Health Queensland Hospital and Health ServiceBrisbaneQueenslandAustralia
- NHMRC Centre for Wiser Wound CareGriffith UniversityBrisbaneQueenslandAustralia
- Centre for Clinical NursingRoyal Brisbane and Women's HospitalBrisbaneQueenslandAustralia
| | - Rinad S. Beidas
- Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Penn Implementation Science Center at the Leonard Davis Institute (PISCE@LDI)University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Penn Medicine Nudge UnitUniversity of Pennsylvania Health SystemPhiladelphiaPennsylvaniaUSA
| | - Christopher P. Bonafide
- Penn Implementation Science Center at the Leonard Davis Institute (PISCE@LDI)University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Section of Hospital MedicineChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
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Becker-Haimes EM, Marcus SC, Klein MR, Schoenwald SK, Fugo PB, McLeod BD, Dorsey S, Williams NJ, Mandell DS, Beidas RS. A Randomized Trial to Identify Accurate Measurement Methods for Adherence to Cognitive-Behavioral Therapy. Behav Ther 2022; 53:1191-1204. [PMID: 36229116 PMCID: PMC9680992 DOI: 10.1016/j.beth.2022.06.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/16/2022] [Accepted: 06/01/2022] [Indexed: 12/01/2022]
Abstract
Clinician fidelity to cognitive behavioral therapy (CBT) is an important mechanism by which desired clinical outcomes are achieved and is an indicator of care quality. Despite its importance, there are few fidelity measurement methods that are efficient and have demonstrated reliability and validity. Using a randomized trial design, we compared three methods of assessing CBT adherence-a core component of fidelity-to direct observation, the gold standard. Clinicians recruited from 27 community mental health agencies (n = 126; M age = 37.69 years, SD = 12.84; 75.7% female) were randomized 1:1:1 to one of three fidelity conditions: self-report (n = 41), chart-stimulated recall (semistructured interviews with the chart available; n = 42), or behavioral rehearsal (simulated role-plays; n = 43). All participating clinicians completed fidelity assessments for up to three sessions with three different clients that were recruited from clinicians' caseloads (n = 288; M age = 13.39 years SD = 3.89; 41.7% female); sessions were also audio-recorded and coded for comparison to determine the most accurate method. All fidelity measures had parallel scales that yielded an adherence maximum score (i.e., the highest-rated intervention in a session), a mean of techniques observed, and a count total of observed techniques. Results of three-level mixed effects regression models indicated that behavioral rehearsal produced comparable scores to observation for all adherence scores (all ps > .01), indicating no difference between behavioral rehearsal and observation. Self-report and chart-stimulated recall overestimated adherence compared to observation (ps < .01). Overall, findings suggested that behavioral rehearsal indexed CBT adherence comparably to direct observation, the gold-standard, in pediatric populations. Behavioral rehearsal may at times be able to replace the need for resource-intensive direct observation in implementation research and practice.
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Affiliation(s)
- Emily M Becker-Haimes
- University of Pennsylvania; Hall Mercer Community Mental Health, University of Pennsylvania Health System.
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Bonafide CP, Xiao R, Schondelmeyer AC, Pettit AR, Brady PW, Landrigan CP, Wolk CB, Cidav Z, Ruppel H, Muthu N, Williams NJ, Schisterman E, Brent CR, Albanowski K, Beidas RS. Sustainable deimplementation of continuous pulse oximetry monitoring in children hospitalized with bronchiolitis: study protocol for the Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial. Implement Sci 2022; 17:72. [PMID: 36271399 PMCID: PMC9587657 DOI: 10.1186/s13012-022-01246-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/10/2022] [Indexed: 11/10/2022] Open
Abstract
Background Methods of sustaining the deimplementation of overused medical practices (i.e., practices not supported by evidence) are understudied. In pediatric hospital medicine, continuous pulse oximetry monitoring of children with the common viral respiratory illness bronchiolitis is recommended only under specific circumstances. Three national guidelines discourage its use for children who are not receiving supplemental oxygen, but guideline-discordant practice (i.e., overuse) remains prevalent. A 6-hospital pilot of educational outreach with audit and feedback resulted in immediate reductions in overuse; however, the best strategies to optimize sustainment of deimplementation success are unknown. Methods The Eliminating Monitor Overuse (EMO) trial will compare two deimplementation strategies in a hybrid type III effectiveness-deimplementation trial. This longitudinal cluster-randomized design will be conducted in Pediatric Research in Inpatient Settings (PRIS) Network hospitals and will include baseline measurement, active deimplementation, and sustainment phases. After a baseline measurement period, 16–19 hospitals will be randomized to a deimplementation strategy that targets unlearning (educational outreach with audit and feedback), and the other 16–19 will be randomized to a strategy that targets unlearning and substitution (adding an EHR-integrated clinical pathway decision support tool). The primary outcome is the sustainment of deimplementation in bronchiolitis patients who are not receiving any supplemental oxygen, analyzed as a longitudinal difference-in-differences comparison of overuse rates across study arms. Secondary outcomes include equity of deimplementation and the fidelity to, and cost of, each deimplementation strategy. To understand how the deimplementation strategies work, we will test hypothesized mechanisms of routinization (clinicians developing new routines supporting practice change) and institutionalization (embedding of practice change into existing organizational systems). Discussion The EMO trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, costs, and likelihood of sustained practice change using rigorously designed deimplementation strategies. The trial will also advance care for a high-incidence, costly pediatric lung disease. Trial registration ClinicalTrials.gov,NCT05132322. Registered on November 10, 2021. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-022-01246-z.
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Affiliation(s)
- Christopher P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA. .,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA. .,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. .,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 206 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Amanda C Schondelmeyer
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, 45229, USA.,Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.,James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA
| | | | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.,James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave ML 9016, Cincinnati, OH, 45229, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Christopher P Landrigan
- Division of General Pediatrics, Boston Children's Hospital, Enders 1, 300 Longwood Ave, Boston, MA, 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Courtney Benjamin Wolk
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, Philadelphia, USA
| | - Zuleyha Cidav
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Halley Ruppel
- Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, USA
| | - Naveen Muthu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Nathaniel J Williams
- School of Social Work, Boise State University, 1910 W. University Drive, Boise, ID, 83725, USA.,Institute for the Study of Behavioral Health and Addiction, Boise State University, Boise, USA
| | - Enrique Schisterman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 206 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA
| | - Canita R Brent
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Kimberly Albanowski
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Children's Hospital of Philadelphia Hub for Clinical Collaboration, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Rinad S Beidas
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine, Philadelphia, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3600 Civic Center Boulevard, 8th Floor, Philadelphia, PA, 19104, USA.,Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, USA.,Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.,Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Gustafson AC, Gelfand JM, Davies J, Lieberman AE, Mason JB, Armstrong AW, Ogdie A, Mehta NN, Barbieri JS, Beidas RS. Specialist and Patient Perspectives on Strategies to Improve Cardiovascular Disease Prevention Among Persons Living with Psoriatic Disease. J Psoriasis Psoriatic Arthritis 2022; 7:174-186. [PMID: 38148879 PMCID: PMC10751045 DOI: 10.1177/24755303221101848] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Background Psoriasis is an immune-mediated disease associated with excess risk for cardiovascular disease (CVD). Guidelines recognize psoriasis as a CVD risk enhancer; however, psoriasis patients often do not have CVD risk factors identified nor managed. Objective This study examines strategies to improve CVD prevention care from the perspective of dermatologists and patients with psoriasis. Methods Qualitative interviews were conducted using the Consolidated Framework for Implementation Research to examine the perspectives of physicians (N = 16) and patients with psoriatic disease (N = 16) on barriers/facilitators to CVD prevention. Interviews were transcribed and coded using an integrated approach designed to enhance reliability and validity using NVivo software. Results We found three major themes suggesting areas to target for the future: (1) Appropriateness: perceptions of whether CVD care should be deployed in this setting by both clinicians and patients, (2) Feasibility: whether CVD prevention care could be integrated into the current structure of specialist practice, and (3) Care Coordination: an interest by all parties to better integrate a team approach in CVD preventative care to reduce duplicative efforts, work practically in an already existing system rather than reinventing the wheel, and progress with the patients' best interests in mind. Conclusions These findings will inform the design of a clinical trial comparing the effectiveness of specialist clinician implementation of CVD guideline-based prevention care in patients with psoriasis. Ultimately, this study aims to increase the lifespan and health of patients living with psoriatic disease by decreasing barriers to their receiving appropriate CVD prevention care.
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Affiliation(s)
- A C Gustafson
- University of Pennsylvania, Philadelphia, PA, United States
| | - J M Gelfand
- Department of Dermatology, Perelman Center for Advanced Medicine, Philadelphia, PA, United States
| | - J Davies
- College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States
| | - A E Lieberman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - J B Mason
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - A W Armstrong
- Department of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - A Ogdie
- Department of Rheumatology, Perelman Center for Advanced Medicine, Philadelphia, PA, United States
| | - N N Mehta
- FAHA Section of Inflammation and Cardiometabolic Diseases, National Institute of Health, Bethesda, MD, United States
| | - J S Barbieri
- Department of Dermatology, Brigham and Women's Hospital, Boston, MA, United States
| | - R S Beidas
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Beidas RS, Dorsey S, Lewis CC, Lyon AR, Powell BJ, Purtle J, Saldana L, Shelton RC, Stirman SW, Lane-Fall MB. Promises and pitfalls in implementation science from the perspective of US-based researchers: learning from a pre-mortem. Implement Sci 2022; 17:55. [PMID: 35964095 PMCID: PMC9375077 DOI: 10.1186/s13012-022-01226-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 07/20/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Implementation science is at a sufficiently advanced stage that it is appropriate for the field to reflect on progress thus far in achieving its vision, with a goal of charting a path forward. In this debate, we offer such reflections and report on potential threats that might stymie progress, as well as opportunities to enhance the success and impact of the field, from the perspective of a group of US-based researchers. MAIN BODY Ten mid-career extramurally funded US-based researchers completed a "pre-mortem" or a group brainstorming exercise that leverages prospective hindsight to imagine that an event has already occurred and to generate an explanation for it - to reduce the likelihood of a poor outcome. We came to consensus on six key themes related to threats and opportunities for the field: (1) insufficient impact, (2) too much emphasis on being a "legitimate science," (3) re-creation of the evidence-to-practice gap, (4) difficulty balancing accessibility and field coherence, (5) inability to align timelines and priorities with partners, and (6) overly complex implementation strategies and approaches. CONCLUSION We submit this debate piece to generate further discussion with other implementation partners as our field continues to develop and evolve. We hope the key opportunities identified will enhance the future of implementation research in the USA and spark discussion across international groups. We will continue to learn with humility about how best to implement with the goal of achieving equitable population health impact at scale.
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Hoskins K, Sanchez AL, Hoffacker C, Momplaisir F, Gross R, Brady KA, Pettit AR, Zentgraf K, Mills C, Coley D, Beidas RS. Implementation mapping to plan for a hybrid trial testing the effectiveness and implementation of a behavioral intervention for HIV medication adherence and care retention. Front Public Health 2022; 10:872746. [PMID: 35983357 PMCID: PMC9379308 DOI: 10.3389/fpubh.2022.872746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 07/01/2022] [Indexed: 11/24/2022] Open
Abstract
Background Implementation mapping is a systematic, collaborative, and contextually-attentive method for developing implementation strategies. As an exemplar, we applied this method to strategy development for Managed Problem Solving Plus (MAPS+), an adapted evidence-based intervention for HIV medication adherence and care retention that will be delivered by community health workers and tested in an upcoming trial. Methods In Step 1: Conduct Needs Assessment, we interviewed 31 stakeholders to identify determinants of MAPS+ implementation in 13 clinics serving people with HIV in Philadelphia County. In Step 2: Develop Logic Model, we used these determinants as inputs for a working logic model guided by the Consolidated Framework for Implementation Research. In Step 3: Operationalize Implementation Strategies, our team held a virtual stakeholder meeting to confirm determinants. We synthesized stakeholder feedback, then identified implementation strategies that conceptually matched to determinants using the Expert Recommendations for Implementing Change taxonomy. Next, we operationalized implementation strategies with specific examples for clinic settings. We linked strategies to behavior change theories to allow for a mechanistic understanding. We then held a second virtual stakeholder meeting to present the implementation menu for feedback and glean generalizable insights for how these strategies could be operationalized in each stakeholder's clinic. In Step 4: Protocolize Strategies, we incorporated stakeholder feedback and finalized the implementation strategy menu. Findings Implementation mapping produced a menu of 39 strategies including revise professional roles, identify and prepare champions, use warm handoffs, and change record systems. The process of implementation mapping generated key challenges for implementation strategy development: lack of implementation strategies targeting the outer setting (i.e., sociopolitical context); tension between a one-size-fits-all and individualized approach for all clinics; conceptual confusion between facilitators and strategies; and challenges in translating the implementation science lexicon for partners. Implications This case exemplar advances both MAPS+ implementation and implementation science methods by furthering our understanding of the use of implementation mapping to develop strategies that enhance uptake of evidence-based interventions. The implementation menu will inform MAPS+ deployment across Philadelphia in an upcoming hybrid trial. We will carry out Step 5: Test Strategies to test the effectiveness and implementation of MAPS+.
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Affiliation(s)
- Katelin Hoskins
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, United States,*Correspondence: Katelin Hoskins
| | - Amanda L. Sanchez
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, United States
| | - Carlin Hoffacker
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Department of Counseling and Educational Psychology, Indiana University, Bloomington, IN, United States
| | - Florence Momplaisir
- Department of Medicine (Infectious Diseases), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Robert Gross
- Department of Medicine (Infectious Diseases), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kathleen A. Brady
- AIDS Activities Coordinating Office, Philadelphia Department of Public Health, Philadelphia, PA, United States
| | | | - Kelly Zentgraf
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - Chynna Mills
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - DeAuj'Zhane Coley
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - Rinad S. Beidas
- Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, United States,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, United States,Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,Center for Health Incentives and Behavioral Economics (CHIBE), University of Pennsylvania, Philadelphia, PA, United States
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