1
|
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] [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.
Collapse
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
| |
Collapse
|
2
|
Zimmer D, Staab EM, Ridgway JP, Schmitt J, Franco M, Hunter SJ, Motley D, Laiteerapong N. Population-Level Portal-Based Anxiety and Depression Screening Perspectives in HIV Care Clinicians: Qualitative Study Using the Consolidated Framework for Implementation Research. JMIR Form Res 2024; 8:e48935. [PMID: 38206651 PMCID: PMC10811578 DOI: 10.2196/48935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 11/07/2023] [Accepted: 11/22/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Depression and anxiety are common among people with HIV and are associated with inadequate viral suppression, disease progression, and increased mortality. However, depression and anxiety are underdiagnosed and undertreated in people with HIV owing to inadequate visit time and personnel availability. Conducting population-level depression and anxiety screening via the patient portal is a promising intervention that has not been studied in HIV care settings. OBJECTIVE We aimed to explore facilitators of and barriers to implementing population-level portal-based depression and anxiety screening for people with HIV. METHODS We conducted semistructured hour-long qualitative interviews based on the Consolidated Framework for Implementation Research with clinicians at an HIV clinic. RESULTS A total of 10 clinicians participated in interviews. In total, 10 facilitators and 7 barriers were identified across 5 Consolidated Framework for Implementation Research domains. Facilitators included advantages of systematic screening outside clinic visits; the expectation that assessment frequency could be tailored to patient needs; evidence from the literature and previous experience in other settings; respect for patient privacy; empowering patients and facilitating communication about mental health; compatibility with clinic culture, workflows, and systems; staff beliefs about the importance of mental health screening and benefits for HIV care; engaging all clinic staff and leveraging their strengths; and clear planning and communication with staff. Barriers included difficulty in ensuring prompt response to suicidal ideation; patient access, experience, and comfort using the portal; limited availability of mental health services; variations in how providers use the electronic health record and communicate with patients; limited capacity to address mental health concerns during HIV visits; staff knowledge and self-efficacy regarding the management of mental health conditions; and the impersonal approach to a sensitive topic. CONCLUSIONS We proposed 13 strategies for implementing population-level portal-based screening for people with HIV. Before implementation, clinics can conduct local assessments of clinicians and clinic staff; engage clinicians and clinic staff with various roles and expertise to support the implementation; highlight advantages, relevance, and evidence for population-level portal-based mental health screening; make screening frequency adaptable based on patient history and symptoms; use user-centered design methods to refine results that are displayed and communicated in the electronic health record; make screening tools available for patients to use on demand in the portal; and create protocols for positive depression and anxiety screeners, including those indicating imminent risk. During implementation, clinics should communicate with clinicians and clinic staff and provide training on protocols; provide technical support and demonstrations for patients on how to use the portal; use multiple screening methods for broad reach; use patient-centered communication in portal messages; provide clinical decision support tools, training, and mentorship to help clinicians manage mental health concerns; and implement integrated behavioral health and increase mental health referral partnerships.
Collapse
Affiliation(s)
- Daniela Zimmer
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Erin M Staab
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Jessica P Ridgway
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Jessica Schmitt
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Melissa Franco
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Scott J Hunter
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
- Western Institutional Review Board- Copernicus Group, Princeton, NJ, United States
| | - Darnell Motley
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| | - Neda Laiteerapong
- Section of General Internal Medicine, University of Chicago, Chicago, IL, United States
| |
Collapse
|
3
|
McIntyre RS, Greenleaf W, Bulaj G, Taylor ST, Mitsi G, Saliu D, Czysz A, Silvesti G, Garcia M, Jain R. Digital health technologies and major depressive disorder. CNS Spectr 2023; 28:662-673. [PMID: 37042341 DOI: 10.1017/s1092852923002225] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
There is an urgent need to improve the clinical management of major depressive disorder (MDD), which has become increasingly prevalent over the past two decades. Several gaps and challenges in the awareness, detection, treatment, and monitoring of MDD remain to be addressed. Digital health technologies have demonstrated utility in relation to various health conditions, including MDD. Factors related to the COVID-19 pandemic have accelerated the development of telemedicine, mobile medical apps, and virtual reality apps and have continued to introduce new possibilities across mental health care. Growing access to and acceptance of digital health technologies present opportunities to expand the scope of care and to close gaps in the management of MDD. Digital health technology is rapidly evolving the options for nonclinical support and clinical care for patients with MDD. Iterative efforts to validate and optimize such digital health technologies, including digital therapeutics and digital biomarkers, continue to improve access to and quality of personalized detection, treatment, and monitoring of MDD. The aim of this review is to highlight the existing gaps and challenges in depression management and discuss the current and future landscape of digital health technology as it applies to the challenges faced by patients with MDD and their healthcare providers.
Collapse
Affiliation(s)
- Roger S McIntyre
- Department of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Walter Greenleaf
- Virtual Human Interaction Lab, Stanford University, San Francisco, CA, USA
| | - Grzegorz Bulaj
- Department of Medicinal Chemistry, College of Pharmacy, University of Utah, Salt Lake City, UT, USA
| | - Steven T Taylor
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, McLean Hospital, Boston, MA, USA
| | | | | | - Andy Czysz
- Sage Therapeutics, Inc., Cambridge, MA, USA
| | | | | | - Rakesh Jain
- Department of Psychiatry, Texas Tech University School of Medicine, Lubbock, TX, USA
| |
Collapse
|
4
|
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] [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.
Collapse
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
| |
Collapse
|
5
|
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] [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.
Collapse
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.
| |
Collapse
|
6
|
Doan TT, DeJonckheere M, Wright DR, Hutton DW, Prosser LA. Preferences and experiences of pediatricians on implementing national guidelines on universal routine screening of adolescents for major depressive disorder: A qualitative study. Compr Psychiatry 2023; 127:152412. [PMID: 37717343 DOI: 10.1016/j.comppsych.2023.152412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 09/19/2023] Open
Abstract
BACKGROUND To explore the preferences of pediatricians for key factors around the implementation of universal routine screening guidelines for major depressive disorder in adolescent patients in a primary care setting. METHOD Semi-structured qualitative interviews were conducted with U.S. pediatricians. Participants were recruited by convenience sampling and snowball sampling. Qualitive data were summarized using thematic analysis to identify themes relevant to preferences around implementing screening strategies for adolescent patients. Recruitment ended upon reaching thematic saturation when no new themes were revealed. RESULTS Of the 14 participants, 11 identified as female, 3 male, 10 white, and 4 Asian. Top themes among pediatrician participants were around the screening modality (14/14 participants), screening validity (14/14), time barriers (14/14), and confidentiality barriers (12/14). Less frequently mentioned themes by pediatricians were workplace coordination and logistics (7/14), alternative starting ages for screening (7/14), more frequent screenings than annual screenings (3/14), and additional clinical training regarding depression diagnosis and treatment (2/14). LIMITATIONS Pool of interviewed participants was limited by diversity in terms of geography, race/ethnicity, or practice settings. CONCLUSIONS To promote the uptake of universal routine screening of adolescent major depression, pediatricians expressed it was important to address key implementation factors regarding the screening modality, screening validity, time constraints, and confidential care concerns in a primary care delivery context. Findings could be used to inform the development of implementation strategies to facilitate depression screening in primary care. Future research is needed to quantitively assess decisions and tradeoffs that pediatricians make when implementing universal screening to support adolescent mental health.
Collapse
Affiliation(s)
- Tran T Doan
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Melissa DeJonckheere
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Davene R Wright
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - David W Hutton
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Lisa A Prosser
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA; Susan B. Meister Child Health Evaluation and Research (CHEAR) Center, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
7
|
Miller A, Skoranski AK, Prior B, Fitzpatrick R, Morgan C, Hepschmidt P, Smith BA, Cella M, Brown McGlotten D, Pitt K, Polomano RC. An "Engage to Sustain" Intervention to Improve Process Performance Measures in Ambulatory Care. J Ambul Care Manage 2023; 46:284-297. [PMID: 37540113 DOI: 10.1097/jac.0000000000000474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
In ambulatory care, monitoring process performance measures (PPMs) is essential to meet regulatory requirements, establish targets for care, seek reimbursement, and evaluate patient care responsibilities. We implemented a comprehensive program, "Engage to Sustain," for licensed practical nurses (LPNs) and certified medical assistants (CMAs) to practice at the top of their licensure/certification. Screening rates for 4 key PPMs (depression screening, fall risk screening, and tobacco use screening and counseling) markedly increased following this intervention across 18 ambulatory departments with more than 2 million patient visits. These results suggest that shifting responsibilities for patient screening from physicians and advanced practitioners to LPNs and CMAs may improve screening rates.
Collapse
Affiliation(s)
- Angela Miller
- Penn Medicine Clinical Practices of the University of Pennsylvania, Philadelphia (Drs Miller and Fitzpatrick and Mss Prior and Pitt); Penn Medicine Medical Group, Penn Primary Care & Penn Specialty Practices, Philadelphia, Pennsylvania (Mr Skoranski); Corporate Information Services (Dr Brown McGlotten), Penn Medicine, Philadelphia, Pennsylvania (Mss Morgan and Hepschmidt); Hospital of the University of Pennsylvania, Philadelphia (Ms Smith); Primary Care and Penn Specialty Practices, Bala Cynwyd, Pennsylvania (Mr Cella); and University of Pennsylvania School of Nursing, Philadelphia (Dr Polomano)
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Norman G, Mason T, Dumville JC, Bower P, Wilson P, Cullum N. Approaches to enabling rapid evaluation of innovations in health and social care: a scoping review of evidence from high-income countries. BMJ Open 2022; 12:e064345. [PMID: 36600433 PMCID: PMC10580278 DOI: 10.1136/bmjopen-2022-064345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE The COVID-19 pandemic increased the demand for rapid evaluation of innovation in health and social care. Assessment of rapid methodologies is lacking although challenges in ensuring rigour and effective use of resources are known. We mapped reports of rapid evaluations of health and social care innovations, categorised different approaches to rapid evaluation, explored comparative benefits of rapid evaluation, and identified knowledge gaps. DESIGN Scoping review. DATA SOURCES MEDLINE, EMBASE and Health Management Information Consortium (HMIC) databases were searched through 13 September 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES We included publications reporting primary research or methods for rapid evaluation of interventions or services in health and social care in high-income countries. DATA EXTRACTION AND SYNTHESIS Two reviewers developed and piloted a data extraction form. One reviewer extracted data, a second reviewer checked 10% of the studies; disagreements and uncertainty were resolved through consensus. We used narrative synthesis to map different approaches to conducting rapid evaluation. RESULTS We identified 16 759 records and included 162 which met inclusion criteria.We identified four main approaches for rapid evaluation: (1) Using methodology designed specifically for rapid evaluation; (2) Increasing rapidity by doing less or using less time-intensive methodology; (3) Using alternative technologies and/or data to increase speed of existing evaluation method; (4) Adapting part of non-rapid evaluation.The COVID-19 pandemic resulted in an increase in publications and some limited changes in identified methods. We found little research comparing rapid and non-rapid evaluation. CONCLUSIONS We found a lack of clarity about what 'rapid evaluation' means but identified some useful preliminary categories. There is a need for clarity and consistency about what constitutes rapid evaluation; consistent terminology in reporting evaluations as rapid; development of specific methodologies for making evaluation more rapid; and assessment of advantages and disadvantages of rapid methodology in terms of rigour, cost and impact.
Collapse
Affiliation(s)
- Gill Norman
- Division of Nursing, Midwifery & Social Work; School of Health Sciences; Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Research and Innovation Division, Manchester University Foundation NHS Trust, Manchester, UK
| | - Thomas Mason
- Centre for Primary Care and Health Services Research; School of Health Sciences; Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
- Division of Health Research, Lancaster University, Lancaster, UK
| | - Jo C Dumville
- Division of Nursing, Midwifery & Social Work; School of Health Sciences; Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Research and Innovation Division, Manchester University Foundation NHS Trust, Manchester, UK
| | - Peter Bower
- Manchester Academic Health Science Centre, Research and Innovation Division, Manchester University Foundation NHS Trust, Manchester, UK
- Centre for Primary Care and Health Services Research; School of Health Sciences; Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
| | - Paul Wilson
- Manchester Academic Health Science Centre, Research and Innovation Division, Manchester University Foundation NHS Trust, Manchester, UK
- Centre for Primary Care and Health Services Research; School of Health Sciences; Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
| | - Nicky Cullum
- Division of Nursing, Midwifery & Social Work; School of Health Sciences; Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Research and Innovation Division, Manchester University Foundation NHS Trust, Manchester, UK
| |
Collapse
|
9
|
Ziemann A, Sibley A, Scarbrough H, Tuvey S, Robens S. Academic health science networks' experiences with rapid implementation practice during the COVID-19 pandemic in England. FRONTIERS IN HEALTH SERVICES 2022; 2:943527. [PMID: 36925804 PMCID: PMC10012785 DOI: 10.3389/frhs.2022.943527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/28/2022] [Indexed: 11/13/2022]
Abstract
The COVID-19 pandemic offered a "natural laboratory" to learn about rapid implementation of health and social care innovations in an altered implementation context. Our aim was to explore implementation practice of Academic Health Science Networks (AHSN) in the English National Health System during the first wave of the COVID-19 pandemic through a rapid implementation lens. We organized three 90-min, online, semi-structured focus groups with 26 operational and senior managerial staff from 14 AHSNs in June-July 2020. Participants were recruited purposefully and on a voluntary basis. Participants presented a case study about their approaches to implementing innovations between March-June 2020 and discussed their experiences and lessons learned. The focus groups were audio-recorded and transcribed verbatim. Transcripts and other documents were analyzed using qualitative thematic analysis following a combination of grounded theory and framework analysis approach. AHSNs increased the pace of their implementation work to support the response to the COVID-19 pandemic. The disruptive event changed the implementation context which enabled rapid implementation through an urgency for change, the need to adhere to social distancing rules, new enabling governance structures, and stakeholders' reduced risk averseness toward change. AHSNs achieved rapid implementation through: (1) An agile and adaptive implementation approach; (2) Accelerating existing innovations and building on existing relationships/networks; (3) Remote stakeholder engagement; and (4) Ensuring quality, safety, rigor and sustainability, and generating new evidence through rapid evaluations. AHSNs aimed at sustaining implementation pace and efficiency after the acute phase of the pandemic mainly through remote stakeholder engagement and flexibility of implementation strategies.
Collapse
Affiliation(s)
- Alexandra Ziemann
- Centre for Healthcare Innovation Research, City, University of London, London, United Kingdom
| | - Andrew Sibley
- Wessex Academic Health Science Network, Southampton, United Kingdom
| | - Harry Scarbrough
- Centre for Healthcare Innovation Research, City, University of London, London, United Kingdom
- Bayes Business School, City, University of London, London, United Kingdom
| | - Sam Tuvey
- South West Academic Health Science Network, Exeter, United Kingdom
| | - Sarah Robens
- South West Academic Health Science Network, Exeter, United Kingdom
- Re!nstitute, Stamford, CT, United States
| |
Collapse
|