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Tabaei BP, De Leon S, Glenn L, Pham-Singer H. Practice Facilitation and Clinical Performance Feedback Using the Electronic Health Record Improved Blood Pressure and Cholesterol Management in Small Primary Care Practices in New York City. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2024; 30:S96-S99. [PMID: 38870366 PMCID: PMC11178242 DOI: 10.1097/phh.0000000000001895] [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] [Indexed: 06/15/2024]
Abstract
Cardiovascular disease (CVD) disproportionately affects people of color and those with lower household income. Improving blood pressure (BP) and cholesterol management for those with or at risk for CVD can improve health outcomes. The New York City Department of Health implemented clinical performance feedback with practice facilitation (PF) in 134 small primary care practices serving on average over 84% persons of color. Facilitators reviewed BP and cholesterol management data on performance dashboards and guided practices to identify and outreach to patients with suboptimal BP and cholesterol management. Despite disruptions from the COVID-19 pandemic, practices demonstrated significant improvements in BP (68%-75%, P < .001) and cholesterol management (72%-78%, P = .01). Prioritizing high-need neighborhoods for impactful resource investment, such as PF and data sharing, may be a promising approach to reducing CVD and hypertension inequities in areas heavily impacted by structural racism.
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Affiliation(s)
- Bahman P Tabaei
- Author Affiliations: New York City Department of Health and Mental Hygiene, Center for Health Equity and Community Wellness, Queens, New York
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Ritchie MJ, Smith JL, Kim B, Woodward EN, Kirchner JE. Building a sharable literature collection to advance the science and practice of implementation facilitation. FRONTIERS IN HEALTH SERVICES 2024; 4:1304694. [PMID: 38784706 PMCID: PMC11111980 DOI: 10.3389/frhs.2024.1304694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/30/2024] [Indexed: 05/25/2024]
Abstract
Background Implementation science seeks to produce generalizable knowledge on strategies that promote the adoption and sustained use of evidence-based innovations. Literature reviews on specific implementation strategies can help us understand how they are conceptualized and applied, synthesize findings, and identify knowledge gaps. Although rigorous literature reviews can advance scientific knowledge and facilitate theory development, they are time-consuming and costly to produce. Improving the efficiency of literature review processes and reducing redundancy of effort is especially important for this rapidly developing field. We sought to amass relevant literature on one increasingly used evidence-based strategy, implementation facilitation (IF), as a publicly available resource. Methods We conducted a rigorous systematic search of PubMed, CINAHL, and Web of Science citation databases for peer-reviewed, English-language articles with "facilitation" and a combination of other terms published from January 1996 to December 2021. We searched bibliographies of articles published from 1996 to 2015 and identified articles during the full text review that reported on the same study. Two authors screened 3,168 abstracts. After establishing inter-rater reliability, they individually conducted full-text review of 786 relevant articles. A multidisciplinary team of investigators provided recommendations for preparing and disseminating the literature collection. Findings The literature collection is comprised of 510 articles. It includes 277 empirical studies of IF and 77 other articles, including conceptual/theoretical articles, literature reviews, debate papers and descriptions of large-scale clinical initiatives. Over half of the articles were published between 2017 and 2021. The collection is publicly available as an Excel file and as an xml file that can be imported into reference management software. Conclusion We created a publicly accessible collection of literature about the application of IF to implement evidence-based innovations in healthcare. The comprehensiveness of this collection has the potential to maximize efficiency and minimize redundancy in scientific inquiry about this strategy. Scientists and practitioners can use the collection to more rapidly identify developments in the application of IF and to investigate a wide range of compelling questions on its use within and across different healthcare disciplines/settings, countries, and payer systems. We offer several examples of how this collection has already been used.
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Affiliation(s)
- Mona J. Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Jeffrey L. Smith
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Bo Kim
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Eva N. Woodward
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- VA Center for Mental Healthcare & Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States
| | - JoAnn E. Kirchner
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, United States
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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Lizarondo L. Facilitation: a crucial catalyst for evidence implementation in health care. JBI Evid Implement 2024; 22:236-238. [PMID: 38390893 DOI: 10.1097/xeb.0000000000000409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Affiliation(s)
- Lucylynn Lizarondo
- JBI, School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
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Safford MM, Cummings DM, Halladay JR, Shikany JM, Richman J, Oparil S, Hollenberg J, Adams A, Anabtawi M, Andreae L, Baquero E, Bryan J, Sanders-Clark D, Johnson E, Richman E, Soroka O, Tillman J, Cherrington AL. Practice Facilitation and Peer Coaching for Uncontrolled Hypertension Among Black Individuals: A Randomized Clinical Trial. JAMA Intern Med 2024; 184:538-546. [PMID: 38497987 PMCID: PMC10949149 DOI: 10.1001/jamainternmed.2024.0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/26/2023] [Indexed: 03/19/2024]
Abstract
Importance Rural Black participants need effective intervention to achieve better blood pressure (BP) control. Objective Among Black rural adults with persistently uncontrolled hypertension attending primary care clinics, to determine whether peer coaching (PC), practice facilitation (PF), or both (PCPF) are superior to enhanced usual care (EUC) in improving BP control. Design, Setting, and Participants A cluster randomized clinical trial was conducted in 69 rural primary care practices across Alabama and North Carolina between September 23, 2016, and September 26, 2019. The participating practices were randomized to 4 groups: PC plus EUC, PF plus EUC, PCPF plus EUC, and EUC alone. The baseline EUC approach included a laptop for each participating practice with hyperlinks to participant education on hypertension, a binder of practice tips, a poster showing an algorithm for stepped care to improve BP, and 25 home BP monitors. The trial was stopped on February 28, 2021, after final data collection. The study included Black participants with persistently uncontrolled hypertension. Data were analyzed from February 28, 2021, to December 13, 2022. Interventions Practice facilitators helped practices implement at least 4 quality improvement projects designed to improve BP control throughout 1 year. Peer coaches delivered a structured program via telephone on hypertension self-management throughout 1 year. Main Outcomes and Measures The primary outcome was the proportion of participants in each trial group with BP values of less than 140/90 mm Hg at 6 months and 12 months. The secondary outcome was a change in the systolic BP of participants at 6 months and 12 months. Results A total of 69 practices were randomized, and 1209 participants' data were included in the analysis. The mean (SD) age of participants was 58 (12) years, and 748 (62%) were women. In the intention-to-treat analyses, neither intervention alone nor in combination improved BP control or BP levels more than EUC (at 12 months, PF vs EUC odds ratio [OR], 0.94 [95% CI, 0.58-1.52]; PC vs EUC OR, 1.30 [95% CI, 0.83-2.04]; PCPF vs EUC OR, 1.02 [95% CI, 0.64-1.64]). In preplanned subgroup analyses, participants younger than 60 years in the PC and PCPF groups experienced a significant 5 mm Hg greater reduction in systolic BP than participants younger than 60 years in the EUC group at 12 months. Practicewide BP control estimates in PF groups suggested that BP control improved from 54% to 61%, a finding that was not observed in the trial's participants. Conclusions and Relevance The results of this cluster randomized clinical trial demonstrated that neither PC nor PF demonstrated a superior improvement in overall BP control compared with EUC. However, PC led to a significant reduction in systolic BP among younger adults. Trial Registration ClinicalTrials.gov Identifier: NCT02866669.
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Affiliation(s)
| | | | | | | | | | | | | | - Alyssa Adams
- East Carolina University, Greenville, North Carolina
| | | | | | | | - Joanna Bryan
- Weill Medical College of Cornell University, New York, New York
| | | | - Ethel Johnson
- West Central Alabama Community Health Improvement League of Camden
| | | | - Orysya Soroka
- Weill Medical College of Cornell University, New York, New York
| | - Jimmy Tillman
- Open Water Coaching and Consulting, Cape Carteret, North Carolina
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Smith JL, Ritchie MJ, Kim B, Miller CJ, Chinman MJ, Kelly PA, Landes SJ, Kirchner JE. Getting to Fidelity: Consensus Development Process to Identify Core Activities of Implementation Facilitation. GLOBAL IMPLEMENTATION RESEARCH AND APPLICATIONS 2024; 2024:10.1007/s43477-024-00119-5. [PMID: 38765294 PMCID: PMC11100021 DOI: 10.1007/s43477-024-00119-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/16/2024] [Indexed: 05/22/2024]
Abstract
Transferring successful implementation strategies from research to practice requires approaches for assessing fidelity to the strategy's core components. Implementation facilitation (IF) is a strategy involving an interactive process of problem-solving, enabling, and supporting individuals in efforts to implement clinical innovations that occurs in the context of a recognized need for improvement and supportive interpersonal relationships. Because IF is a dynamic strategy involving numerous activities, our objective was to conduct a rigorous consensus development process to identify core activities for monitoring fidelity to IF when applied in clinical settings. We first conducted a scoping literature review to identify the range of activities used when IF has been applied in clinical settings, searching multiple citation databases for English-language articles including "facilitation" or other commonly-used terms for the strategy published from 1996-2015. Through multi-stage screening, 135 articles (from 94 studies) were identified for data extraction on IF activities, frequency with which IF activities were identified as 'core' by study authors, and study outcomes. From the literature review, we identified 32 distinct IF activities and developed definitions/examples for each. Next, we conducted a 3-stage, modified-Delphi expert panel consensus development process to identify core IF activities across three implementation phases (i.e., Pre-Implementation, Implementation, Sustainment). The expert panel identified 8 core activities for the Pre-Implementation Phase, 8 core activities for the Implementation Phase, and 4 core activities for the Sustainment Phase. This work provides an important foundation for developing measures/tools to assess use of core IF activities to ensure the strategy is delivered with fidelity.
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Affiliation(s)
- Jeffrey L. Smith
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - Mona J. Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - Bo Kim
- VA Behavioral Health QUERI & HSR&D Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Christopher J. Miller
- VA Behavioral Health QUERI & HSR&D Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew J. Chinman
- VA Pittsburgh Healthcare System, Research Office Building (151R), University Drive C, Pittsburgh, PA 15240, USA
| | - P. Adam Kelly
- Southeast Louisiana Veterans Healthcare System, 2400 Canal Street (11F), New Orleans, LA 70119, USA
| | - Sara J. Landes
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
| | - JoAnn E. Kirchner
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI) & HSR&D Center for Mental Healthcare & Outcomes Research (CeMHOR), Central Arkansas Veterans Healthcare System, 900 S. Shackelford Road, Fifth Floor, Little Rock, AR 72211, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham Street, #755, Little Rock, AR 72205, USA
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Agulnik A, Boykin D, O'Malley DM, Price J, Yang M, McKone M, Curran G, Ritchie MJ. Virtual facilitation best practices and research priorities: a scoping review. Implement Sci Commun 2024; 5:16. [PMID: 38365878 PMCID: PMC10873989 DOI: 10.1186/s43058-024-00551-6] [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: 08/10/2023] [Accepted: 01/24/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Facilitation is an implementation strategy that supports the uptake of evidence-based practices. Recently, use of virtual facilitation (VF), or the application of facilitation using primarily video-based conferencing technologies, has become more common, especially since the COVID-19 pandemic. Thorough assessment of the literature on VF, however, is lacking. This scoping review aimed to identify and describe conceptual definitions of VF, evaluate the consistency of terminology, and recommend "best" practices for its use as an implementation strategy. METHODS We conducted a scoping review to identify literature on VF following the PRISMA-ScR guidance. A search of PubMed, Embase, Web of Science, and CINAHL databases was conducted in June 2022 for English language articles published from January 2012 through May 2022 and repeated in May 2023 for articles published from January 2012 through April 2023. Identified articles, including studies and conference abstracts describing VF, were uploaded into Covidence and screened independently by two reviewers. Data extraction was done by two reviewers in Microsoft Excel; additionally, studies were evaluated based on the Proctor et al. (2013) reporting guidelines for specifying details of implementation strategies. RESULTS The search strategy identified 19 articles. After abstract and full-text screening, eight studies described by 10 articles/abstracts were included in analysis. Best practices summarized across studies included (1) stakeholder engagement, (2) understanding the recipient's organization, (3) facilitator training, (4) piloting, (5) evaluating facilitation, (6) use of group facilitation to encourage learning, and (7) integrating novel tools for virtual interaction. Three papers reported all or nearly all components of the Proctor et al. reporting guidelines; justification for use of VF was the most frequently omitted. CONCLUSIONS This scoping review evaluated available literature on use of VF as a primary implementation strategy and identified significant variability on how VF is reported, including inconsistent terminology, lack of details about how and why it was conducted, and limited adherence to published reporting guidelines. These inconsistencies impact generalizability of these methods by preventing replicability and full understanding of this emerging methodology. More work is needed to develop and evaluate best practices for effective VF to promote uptake of evidence-based interventions. TRIAL REGISTRATION N/A.
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Affiliation(s)
- Asya Agulnik
- Department of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA.
- Division of Critical Care, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Derrecka Boykin
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Denalee M O'Malley
- Department of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, Research DivisionNew Brunswick, NJ, USA
| | - Julia Price
- Center for Healthcare Delivery Science, Nemours Children's Health , Wilmington, DE, USA
- Department of Pediatrics, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, USA
| | - Mia Yang
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine and the Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist, Winston Salem, NC, USA
| | - Mark McKone
- Coy C. Carpenter Library, Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA
| | - Geoffrey Curran
- Department of Pharmacy Practice, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mona J Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA
- Department of Psychiatry and Behavioral Sciences, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Smith JD, Carroll AJ, Sanuade OA, Johnson R, Abramsohn EM, Abbas H, Ahmad FS, Eggleston A, Lazar D, Lindau ST, McHugh M, Mohanty N, Philbin S, Pinkerton EA, Rosul LL, Merle JL, Tedla YG, Walunas TL, Davis P, Kho A. Process of Engaging Community and Scientific Partners in the Development of the CIRCL-Chicago Study Protocol. Ethn Dis 2023; DECIPHeR:18-26. [PMID: 38846735 PMCID: PMC11099531 DOI: 10.18865/ed.decipher.18] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024] Open
Abstract
Objectives Hypertension affects 1 in 3 adults in the United States and disproportionately affects African Americans. Kaiser Permanente demonstrated that a "bundle" of evidence-based interventions significantly increased blood pressure control rates. This paper describes a multiyear process of developing the protocol for a trial of the Kaiser bundle for implementation in under-resourced urban communities experiencing cardiovascular health disparities during the planning phase of this biphasic award (UG3/UH3). Methods The protocol was developed by a collaboration of faith-based community members, representatives from community health center practice-based research networks, and academic scientists with expertise in health disparities, implementation science, community-engaged research, social care interventions, and health informatics. Scientists from the National Institutes of Health and the other grantees of the Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) Alliance also contributed to developing our protocol. Results The protocol is a hybrid type 3 effectiveness-implementation study using a parallel cluster randomized trial to test the impact of practice facilitation on implementation of the Kaiser bundle in community health centers compared with implementation without facilitation. A central strategy to the Kaiser bundle is to coordinate implementation via faith-based and other community organizations for recruitment and navigation of resources for health-related social risks. Conclusions The proposed research has the potential to improve identification, diagnosis, and control of blood pressure among under-resourced communities by connecting community entities and healthcare organizations in new ways. Faith-based organizations are a trusted voice in African American communities that could be instrumental for eliminating disparities.
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Affiliation(s)
- Justin D. Smith
- Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT
| | | | - Olutobi A. Sanuade
- Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT
| | | | | | | | - Faraz S. Ahmad
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | | | | | - Megan McHugh
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Nivedita Mohanty
- Northwestern University Feinberg School of Medicine, Chicago, IL
- AllianceChicago, Chicago, IL
| | - Sarah Philbin
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - El A. Pinkerton
- University of Chicago Biological Sciences Division, Chicago, IL
| | | | - James L. Merle
- Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT
| | | | | | - Paris Davis
- Total Resource Community Development Organization, Chicago, IL
| | - Abel Kho
- Northwestern University Feinberg School of Medicine, Chicago, IL
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Lizarondo L, McArthur A, Porche D, Corremans M, Perrenoud B, Rodrigues R, Lockwood C. Facilitation in evidence implementation - experiences, challenges, and determinants of perceived effectiveness: a qualitative systematic review. JBI Evid Implement 2023; 21:409-431. [PMID: 37975298 DOI: 10.1097/xeb.0000000000000399] [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: 11/19/2023]
Abstract
INTRODUCTION Facilitation is a key element of evidence implementation. Although quantitative systematic reviews have been undertaken to examine its components and effectiveness, no attempt has been made to synthesize qualitative evidence examining the experiences of facilitators on how facilitation is operationalized, the challenges associated with it, and the factors that can influence its perceived effectiveness. METHODS A systematic review of qualitative studies was conducted using the JBI methodology. RESULTS A total of 36 qualitative studies was included in the systematic review, with the majority being assessed as high quality following critical appraisal. The findings were extracted and further synthesized, highlighting that facilitation involves providing technical and non-technical support to health professionals, as well as high-intensity collaborations and relationship building. Determinants of perceived effectiveness of facilitation include facilitators' access to resources and learning support; their skills, traits/attitudes, and approach to facilitation; and the context of the organization where the implementation occurs. Work demands, emotional stress, and lack of clarity in roles and career development can pose challenges for facilitators. CONCLUSION To maximize the outcomes of facilitation in evidence implementation, the team of facilitators should be carefully selected to ensure they have the right skills, traits/attitudes, and approach to facilitation. They should also be provided with dedicated time to conduct the facilitation and have access to resources, training, and mentoring support. Future research should aim to examine the perspectives of the "implementers" who received support from facilitators to gain a better understanding of which facilitation strategies have an impact on clinical practice behavior. REVIEW REGISTRATION NUMBER PROSPERO CRD42023402496.
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Affiliation(s)
- Lucylynn Lizarondo
- JBI, School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Alexa McArthur
- JBI, School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Demetrius Porche
- School of Nursing, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA
- The Louisiana Centre for Promotion of Optimal Health Outcomes: A JBI Centre of Excellence, New Orleans, LA, USA
| | | | - Beatrice Perrenoud
- Bureau d'Echange des Savoirs pour des praTiques exemplaires de soins (BEST): A JBI Centre of Excellence, Lausanne, Switzerland
- ELS School of Health Sciences, HES-SO University of Applied Sciences and Arts, Western Switzerland, Lausanne, Switzerland
| | - Rogério Rodrigues
- Health Sciences Research Unit: Nursing, Nursing School of Coimbra, Coimbra, Portugal
| | - Craig Lockwood
- JBI, School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
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Ross SM, Wang A, Anthony L, Persell SD, Yu J, Kho AN. Is more better? The impact of implementing more interventions for hypertension control in a practice facilitation study for small- and medium-sized practices. J Hum Hypertens 2023; 37:1007-1014. [PMID: 36949284 PMCID: PMC10514225 DOI: 10.1038/s41371-023-00813-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 01/08/2023] [Accepted: 02/09/2023] [Indexed: 03/24/2023]
Abstract
Interventions for blood pressure (BP) control have positive effects on outcomes for patients with hypertension. Research on these effects in small- and medium-sized practices is limited. Our retrospective analysis used data from Healthy Hearts in the Heartland (H3), a research program conducted in 2016-2018 as part of the Agency for Healthcare Research and Quality's EvidenceNOW initiative, to examine the impact of implementing more interventions for BP control in these settings. Thirty-eight H3 practices met inclusion criteria and were assigned to an implementer group (high or low) based on the number of interventions implemented with the support of a practice facilitator during the study. Practices in the high-implementer group implemented a mean of 2.2 additional interventions relative to the low-implementer group. Groups were compared on two measures of BP control: (1) mean percentage of hypertensive patients with a most recent BP below 140/90, and (2) mean systolic and diastolic BP of hypertensive patients. In the first measure, practices in the high-implementer group had greater improvement between baseline and the end of the study. Among the 10,150 patients included in the second measure, reductions in mean SBP and DBP were greater for the high-implementer group. These outcomes show that implementing additional interventions had a positive association with measures of BP control, though clinical significance was unknown or limited. Future research is needed to understand the impact of interventions for BP control in small- and medium-sized practices, including the interactions among intervention implementation, practice facilitation, and practice and patient characteristics.
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Affiliation(s)
- Samuel M Ross
- Center for Health Information Partnerships, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Andrew Wang
- Center for Health Information Partnerships, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Health Services and Outcomes Research, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Stephen D Persell
- Division of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jingzhi Yu
- Center for Health Information Partnerships, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Abel N Kho
- Center for Health Information Partnerships, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Division of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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10
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Pirani N, Jafari M, Bagherzadeh R, Keikhosravi M, Pirani H. Cervical Cancer Prevention, Its Challenges and Solutions in Iran and Worldwide: A Systematic Review. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:2313-2324. [PMID: 38106838 PMCID: PMC10719694 DOI: 10.18502/ijph.v52i11.14031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/14/2023] [Indexed: 12/19/2023]
Abstract
Background Widespread use of screening in high-income countries has led to significant reductions in mortality from cervical cancer. However, in Iran, the main reason for the late diagnosis of cervical cancer was the failure to perform a Pap smear (Papanicolaou). We aimed to investigate the status of cervical cancer prevention and its challenges and solutions in Iran. Method We conducted a systematic review of literature published from 1974 to 2021 in the electronic databases, including PubMed, Web of Science, Embase, Scopus, and Google Scholar, and retrieved all English-language articles. Following the application of the inclusion and exclusion criteria, full-text articles were identified and evaluated for eligibility. Finally, these publications were analyzed as part of the synthesis. Results Lower social-economic level, inadequate knowledge of screening tests and health centers for Pap test performance leading to worse outcomes such as lower screening participation or coverage. Conclusion By addressing these challenges through increasing education, increasing service accessibility, expanding screening programs, improving public awareness, improving insurance coverage, and establishing a control protocol for follow-up, it is possible to reduce cervical cancer incidence and mortality.
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Affiliation(s)
- Narges Pirani
- Health Policy, Ministry of Health and Medical Education, Tehran, Iran
- Health Promotion Research Center, Health School, Iran University of Medical Sciences, Tehran, Iran
| | - Mehdi Jafari
- Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Rafat Bagherzadeh
- English Department, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | | | - Hadis Pirani
- Public Administration, Payam Noor University, Khuzestan, Iran
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11
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Pyne JM, Seal KH, Manuel JK, DeRonne B, Oliver KA, Bertenthal D, Esserman D, Purcell N, Petrakis BA, Elwy AR. Developing and testing a COVID-19 vaccination acceptance intervention: A pragmatic trial comparing vaccine acceptance intervention vs usual care - Rationale, methods, and implementation. Contemp Clin Trials 2023; 133:107325. [PMID: 37652356 DOI: 10.1016/j.cct.2023.107325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/08/2023] [Accepted: 08/28/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND COVID-19 has resulted in significant disability and loss of life. COVID-19 vaccines effectively prevent severe illness, hospitalization, and death. Nevertheless, many people remain hesitant to accept vaccination. Veterans perceive healthcare providers (HCP) and staff as trusted vaccine information sources and thereby are well suited to initiate vaccine discussions. The overall objective of this study is to implement and test a virtual COVID-19 Vaccine Acceptance Intervention (VAI) training that is informed by motivational interviewing (MI) techniques. METHODS The VAI training is being delivered to VA HCPs and staff within a Hybrid Type 2 pragmatic implementation-effectiveness trial using Implementation Facilitation as the implementation strategy. The implementation team includes external facilitators paired with VA Healthcare System (VAHCS)-level internal facilitators. The trial has three aims: 1) Examine the effectiveness of the VAI versus usual care on unvaccinated veterans' vaccination rates in a one-year cluster randomized controlled trial, with randomization at the level of VAHCS. 2) Determine factors associated with veterans' decisions to accept or decline primary COVID-19 vaccination, and better understand how these factors influence vaccination decisions, through survey and qualitative data; and 3) Use qualitative interviews with HCPs and staff from clinics with high and low vaccination rates to learn what was helpful and not helpful about the VAI and implementation strategies. CONCLUSION This is the first multisite randomized controlled trial to test an MI-informed vaccine acceptance intervention to improve COVID-19 vaccine acceptance. Information gained can be used to inform healthcare systems' approaches to improve future vaccination and other public health campaigns. CLINICALTRIALS gov Identifier: NCT05027464.
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Affiliation(s)
- Jeffrey M Pyne
- Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, 2200 Fort Roots Drive, North Little Rock, AR, United States of America; South Central Mental Illness Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, 2200 Fort Roots Drive, North Little Rock, AR, United States of America; Psychiatric Research Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
| | - Karen H Seal
- Integrative Health Service, San Francisco VA Healthcare System, 4150 Clement Street, San Francisco, CA, United States of America; Departments of Medicine and Psychiatry, University of California San Francisco, San Francisco, CA, United States of America
| | - Jennifer K Manuel
- Integrative Health Service, San Francisco VA Healthcare System, 4150 Clement Street, San Francisco, CA, United States of America; Department of Psychiatry, University of California, 675 18th Street San Francisco, San Francisco, CA, United States of America
| | - Beth DeRonne
- Minneapolis VA Health Care System, One Veterans Drive, Minneapolis, MN, United States of America; Center for Care Delivery and Outcomes Research, 5445 Minnehaha Avenue South, Building 9, Minneapolis, MN, United States of America
| | - Karen Anderson Oliver
- Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, 2200 Fort Roots Drive, North Little Rock, AR, United States of America
| | - Dan Bertenthal
- Integrative Health Service, San Francisco VA Healthcare System, 4150 Clement Street, San Francisco, CA, United States of America
| | - Denise Esserman
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States of America
| | - Natalie Purcell
- Integrative Health Service, San Francisco VA Healthcare System, 4150 Clement Street, San Francisco, CA, United States of America; Department of Social and Behavioral Sciences, University of California, 490 Illinois St., San Francisco, CA, United States of America
| | - Beth Ann Petrakis
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, 200 Springs Road, Bedford, MA, United States of America
| | - A Rani Elwy
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, 200 Springs Road, Bedford, MA, United States of America; Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Box G-BH, Providence, RI, United States of America
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Abdalla M, Bolen SD, Brettler J, Egan BM, Ferdinand KC, Ford CD, Lackland DT, Wall HK, Shimbo D. Implementation Strategies to Improve Blood Pressure Control in the United States: A Scientific Statement From the American Heart Association and American Medical Association. Hypertension 2023; 80:e143-e157. [PMID: 37650292 PMCID: PMC10578150 DOI: 10.1161/hyp.0000000000000232] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Hypertension is one of the most important risk factors that contribute to incident cardiovascular events. A multitude of US and international hypertension guidelines, scientific statements, and policy statements have recommended evidence-based approaches for hypertension management and improved blood pressure (BP) control. These recommendations are based largely on high-quality observational and randomized controlled trial data. However, recent published data demonstrate troubling temporal trends with declining BP control in the United States after decades of steady improvements. Therefore, there is a widening disconnect between what hypertension experts recommend and actual BP control in practice. This scientific statement provides information on the implementation strategies to optimize hypertension management and to improve BP control among adults in the United States. Key approaches include antiracism efforts, accurate BP measurement and increased use of self-measured BP monitoring, team-based care, implementation of policies and programs to facilitate lifestyle change, standardized treatment protocols using team-based care, improvement of medication acceptance and adherence, continuous quality improvement, financial strategies, and large-scale dissemination and implementation. Closing the gap between scientific evidence, expert recommendations, and achieving BP control, particularly among disproportionately affected populations, is urgently needed to improve cardiovascular health.
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McNeely J, McLeman B, Gardner T, Nesin N, Amarendran V, Farkas S, Wahle A, Pitts S, Kline M, King J, Rosa C, Marsch L, Rotrosen J, Hamilton L. Implementation of substance use screening in rural federally-qualified health center clinics identified high rates of unhealthy alcohol and cannabis use among adult primary care patients. Addict Sci Clin Pract 2023; 18:56. [PMID: 37726839 PMCID: PMC10510292 DOI: 10.1186/s13722-023-00404-y] [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: 01/03/2023] [Accepted: 07/31/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Screening for substance use in rural primary care clinics faces unique challenges due to limited resources, high patient volumes, and multiple demands on providers. To explore the potential for electronic health record (EHR)-integrated screening in this context, we conducted an implementation feasibility study with a rural federally-qualified health center (FQHC) in Maine. This was an ancillary study to a NIDA Clinical Trials Network study of screening in urban primary care clinics (CTN-0062). METHODS Researchers worked with stakeholders from three FQHC clinics to define and implement their optimal screening approach. Clinics used the Tobacco, Alcohol, Prescription Medication, and Other Substance (TAPS) Tool, completed on tablet computers in the waiting room, and results were immediately recorded in the EHR. Adult patients presenting for annual preventive care visits, but not those with other visit types, were eligible for screening. Data were analyzed for the first 12 months following implementation at each clinic to assess screening rates and prevalence of reported unhealthy substance use, and documentation of counseling using an EHR-integrated clinical decision support tool, for patients screening positive for moderate-high risk alcohol or drug use. RESULTS Screening was completed by 3749 patients, representing 93.4% of those with screening-eligible annual preventive care visits, and 18.5% of adult patients presenting for any type of primary care visit. Screening was self-administered in 92.9% of cases. The prevalence of moderate-high risk substance use detected on screening was 14.6% for tobacco, 30.4% for alcohol, 10.8% for cannabis, 0.3% for illicit drugs, and 0.6% for non-medical use of prescription drugs. Brief substance use counseling was documented for 17.4% of patients with any moderate-high risk alcohol or drug use. CONCLUSIONS Self-administered EHR-integrated screening was feasible to implement, and detected substantial alcohol, cannabis, and tobacco use in rural FQHC clinics. Counseling was documented for a minority of patients with moderate-high risk use, possibly indicating a need for better support of primary care providers in addressing substance use. There is potential to broaden the reach of screening by offering it at routine medical visits rather than restricting to annual preventive care visits, within these and other rural primary care clinics.
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Affiliation(s)
- Jennifer McNeely
- Department of Population Health, Section on Tobacco, Alcohol and Drug Use, New York University Grossman School of Medicine, 180 Madison Ave., 17th Floor, New York, NY, 10016, USA.
| | - Bethany McLeman
- Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, 46 Centerra Parkway, Evergreen Center, Suite 315, Lebanon, NH, 03766, USA
| | - Trip Gardner
- Penobscot Community Health Care (PCHC), 103 Maine Avenue, Bangor, ME, 04401, USA
| | - Noah Nesin
- Penobscot Community Health Care (PCHC), 103 Maine Avenue, Bangor, ME, 04401, USA
| | - Vijay Amarendran
- Penobscot Community Health Care (PCHC), 103 Maine Avenue, Bangor, ME, 04401, USA
| | - Sarah Farkas
- Department of Psychiatry, New York University Grossman School of Medicine, 1 Park Ave, New York, NY, 10016, USA
| | - Aimee Wahle
- The Emmes Company, 401 N. Washington St., Rockville, MD, 20850, USA
| | - Seth Pitts
- The Emmes Company, 401 N. Washington St., Rockville, MD, 20850, USA
| | - Margaret Kline
- The Emmes Company, 401 N. Washington St., Rockville, MD, 20850, USA
| | - Jacquie King
- The Emmes Company, 401 N. Washington St., Rockville, MD, 20850, USA
| | - Carmen Rosa
- National Institute on Drug Abuse, c/o NIH Mail Center, NIDA 3@FN MSC 6022, 16071 Industrial Drive-Dock 11, Gaithersburg, MD, 20892, USA
| | - Lisa Marsch
- Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, 46 Centerra Parkway, Evergreen Center, Suite 315, Lebanon, NH, 03766, USA
| | - John Rotrosen
- Department of Psychiatry, New York University Grossman School of Medicine, 1 Park Ave, New York, NY, 10016, USA
| | - Leah Hamilton
- Department of Population Health, Section on Tobacco, Alcohol and Drug Use, New York University Grossman School of Medicine, 180 Madison Ave., 17th Floor, New York, NY, 10016, USA
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Seattle, WA, 98101, USA
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Blecker S, Gannon M, De Leon S, Shelley D, Wu WY, Tabaei B, Magno J, Pham-Singer H. Practice facilitation for scale up of clinical decision support for hypertension management: study protocol for a cluster randomized control trial. Contemp Clin Trials 2023; 129:107177. [PMID: 37037392 PMCID: PMC10871131 DOI: 10.1016/j.cct.2023.107177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/09/2023] [Accepted: 04/04/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Only half of patients with hypertension have adequately controlled blood pressure. Clinical decision support (CDS) has the potential to overcome barriers to delivering guideline-recommended care and improve hypertension management. However, optimal strategies for scaling CDS have not been well established, particularly in small, independent primary care practices which often lack the resources to effectively change practice routines. Practice facilitation is an implementation strategy that has been shown to support process changes. Our objective is to evaluate whether practice facilitation provided with hypertension-focused CDS can lead to improvements in blood pressure control for patients seen in small primary care practices. METHODS/DESIGN We will conduct a cluster randomized control trial to compare the effect of hypertension-focused CDS plus practice facilitation on BP control, as compared to CDS alone. The practice facilitation intervention will include an initial training in the CDS and a review of current guidelines along with follow-up for coaching and integration support. We will randomize 46 small primary care practices in New York City who use the same electronic health record vendor to intervention or control. All patients with hypertension seen at these practices will be included in the evaluation. We will also assess implementation of CDS in all practices and practice facilitation in the intervention group. DISCUSSION The results of this study will inform optimal implementation of CDS into small primary care practices, where much of care delivery occurs in the U.S. Additionally, our assessment of barriers and facilitators to implementation will support future scaling of the intervention. CLINICALTRIALS gov Identifier: NCT05588466.
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Affiliation(s)
- Saul Blecker
- NYU Grossman School of Medicine, New York, NY, United States of America.
| | - Matthew Gannon
- New York City Department of Health and Mental Hygiene, New York, NY, United States of America
| | - Samantha De Leon
- New York City Department of Health and Mental Hygiene, New York, NY, United States of America
| | - Donna Shelley
- NYU School of Global Public Health, New York, NY, United States of America
| | - Winfred Y Wu
- University of Miami - Miller School of Medicine, Miami, FL, United States of America
| | - Bahman Tabaei
- New York City Department of Health and Mental Hygiene, New York, NY, United States of America
| | - Janice Magno
- New York City Department of Health and Mental Hygiene, New York, NY, United States of America
| | - Hang Pham-Singer
- New York City Department of Health and Mental Hygiene, New York, NY, United States of America
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Ritchie MJ, Parker LE, Kirchner JE. Facilitating implementation of primary care mental health over time and across organizational contexts: a qualitative study of role and process. BMC Health Serv Res 2023; 23:565. [PMID: 37259064 DOI: 10.1186/s12913-023-09598-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 05/25/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Healthcare organizations have increasingly utilized facilitation to improve implementation of evidence-based practices and programs (e.g., primary care mental health integration). Facilitation is both a role, related to the purpose of facilitation, and a process, i.e., how a facilitator operationalizes the role. Scholars continue to call for a better understanding of this implementation strategy. Although facilitation is described as dynamic, activities are often framed within the context of a staged process. We explored two understudied characteristics of implementation facilitation: 1) how facilitation activities change over time and in response to context, and 2) how facilitators operationalize their role when the purpose of facilitation is both task-focused (i.e., to support implementation) and holistic (i.e., to build capacity for future implementation efforts). METHODS We conducted individual monthly debriefings over thirty months with facilitators who were supporting PCMHI implementation in two VA networks. We developed a list of facilitation activities based on a literature review and debriefing notes and conducted a content analysis of debriefing notes by coding what activities occurred and their intensity by quarter. We also coded whether facilitators were "doing" these activities for sites or "enabling" sites to perform them. RESULTS Implementation facilitation activities did not occur according to a defined series of ordered steps but in response to specific organizational contexts through a non-linear and incremental process. Amount and types of activities varied between the networks. Concordant with facilitators' planned role, the focus of some facilitation activities was primarily on doing them for the sites and others on enabling sites to do for themselves; a number of activities did not fit into one category and varied across networks. CONCLUSIONS Findings indicate that facilitation is a dynamic and fluid process, with facilitation activities, as well as their timing and intensity, occurring in response to specific organizational contexts. Understanding this process can help those planning and applying implementation facilitation to make conscious choices about the facilitation role and the activities that facilitators can use to operationalize this role. Additionally, this work provides the foundation from which future studies can identify potential mechanisms of action through which facilitation activities enhance implementation uptake.
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Affiliation(s)
- Mona J Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, 2200 Fort Roots Dr, North Little Rock, AR, 72114, USA.
- Department of Psychiatry and Behavioral Sciences, College of Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St, Little Rock, AR, 72205, USA.
| | - Louise E Parker
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, 2200 Fort Roots Dr, North Little Rock, AR, 72114, USA
- Department of Management, University of Massachusetts, 100 Morrissey Blvd, Boston, MA, 02125, USA
| | - JoAnn E Kirchner
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, 2200 Fort Roots Dr, North Little Rock, AR, 72114, USA
- Department of Psychiatry and Behavioral Sciences, College of Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St, Little Rock, AR, 72205, USA
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Shelley DR, Brown D, Cleland CM, Pham-Singer H, Zein D, Chang JE, Wu WY. Facilitation of team-based care to improve HTN management and outcomes: a protocol for a randomized stepped wedge trial. BMC Health Serv Res 2023; 23:560. [PMID: 37259081 PMCID: PMC10230682 DOI: 10.1186/s12913-023-09533-1] [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: 04/06/2023] [Accepted: 05/10/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND There are well-established guidelines for treating hypertension (HTN), yet only half of patients with HTN meet the defined target of < 140/90. Team-based care (TBC) is an evidence-based strategy for improving blood pressure (BP) management and control. TBC is defined as the provision of health services by at least two health professionals "who work collaboratively with patients and their caregivers to accomplish shared goals to achieve coordinated, high-quality care". However, primary care practices experience challenges to implementing TBC principles and care processes; these are more pronounced in small independent practice settings (SIPs). Practice facilitation (PF) is an implementation strategy that may overcome barriers to adopting evidence-based TBC to improve HTN management in SIPs. METHODS Using a stepped wedge randomized controlled trial design, we will test the effect of PF on the adoption of TBC to improve HTN management in small practices (< 5 FTE clinicians) in New York City, and the impact on BP control compared with usual care. We will enroll 90 SIPs and randomize them into one of three 12-month intervention waves. Practice facilitators will support SIPs to adopt TBC principles to improve implementation of five HTN management strategies (i.e., panel management, population health, measuring BP, supporting medication adherence, self-management). The primary outcome is the adoption of TBC for HTN management measured at baseline and 12 months. Secondary outcomes include the rate of BP control and sustainability of TBC and BP outcomes at 18 months. Aggregated data on BP measures are collected every 6 months in all clusters so that each cluster provides data points in both the control and intervention conditions. Using a mixed methods approach, we will also explore factors that influence the effectiveness of PF at the organization and team level. DISCUSSION This study will provide much-needed guidance on how to optimize adoption and sustainability of TBC in independent primary care settings to reduce the burden of disease related to suboptimal BP control and advance understanding of how facilitation works to improve implementation of evidence-based interventions. TRIAL REGISTRATION ClinicalTrials.gov; NCT05413252 .
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Affiliation(s)
- Donna R Shelley
- New York University School of Global Public Health, New York, NY, USA.
| | - Dominique Brown
- New York University School of Global Public Health, New York, NY, USA
| | | | - Hang Pham-Singer
- New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Dina Zein
- New York University School of Global Public Health, New York, NY, USA
| | - Ji Eun Chang
- New York University School of Global Public Health, New York, NY, USA
| | - Winfred Y Wu
- University of Miami Miller School of Medicine, Miami, FL, USA
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Aifah AA, Hade EM, Colvin C, Henry D, Mishra S, Rakhra A, Onakomaiya D, Ekanem A, Shedul G, Bansal GP, Lew D, Kanneh N, Osagie S, Udoh E, Okon E, Iwelunmor J, Attah A, Ogedegbe G, Ojji D. Study design and protocol of a stepped wedge cluster randomized trial using a practical implementation strategy as a model for hypertension-HIV integration - the MAP-IT trial. Implement Sci 2023; 18:14. [PMID: 37165382 PMCID: PMC10173657 DOI: 10.1186/s13012-023-01272-5] [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: 03/22/2023] [Accepted: 04/21/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND As people living with HIV (PLWH) experience earlier and more pronounced onset of noncommunicable diseases (NCDs), advancing integrated care networks and models in low-resource-high-need settings is critical. Leveraging current health system initiatives and addressing gaps in treatment for PLWH, we report our approach using a late-stage (T4) implementation research study to test the adoption and sustainability of a proven-effective implementation strategy which has been minimally applied in low-resource settings for the integration of hypertension control into HIV treatment. We detail our protocol for the Managing Hypertension Among People Living with HIV: an Integrated Model (MAP-IT) trial, which uses a stepped wedge cluster randomized trial (SW-CRT) design to evaluate the effectiveness of practice facilitation on the adoption of a hypertension treatment program for PLWH receiving care at primary healthcare centers (PHCs) in Akwa Ibom State, Nigeria. DESIGN In partnership with the Nigerian Federal Ministry of Health (FMOH) and community organizations, the MAP-IT trial takes place in 30 PHCs. The i-PARiHS framework guided pre-implementation needs assessment. The RE-AIM framework will guide post-implementation activities to evaluate the effect of practice facilitation on the adoption, implementation fidelity, and sustainability of a hypertension program, as well as blood pressure (BP) control. Using a SW-CRT design, PHCs sequentially crossover from the hypertension program only (usual care) to hypertension plus practice facilitation (experimental condition). PHCs will recruit and enroll an average of 28-32 patients to reach a maximum of 960 PLWH participants with uncontrolled hypertension who will be followed longitudinally for BP outcomes. DISCUSSION Given the need for integrated NCD-HIV care platforms in low-resource settings, MAP-IT will underscore the challenges and opportunities for integrating hypertension treatment into HIV care, particularly concerning adoption and sustainability. The evaluation of our integration approach will also highlight the potential impact of a health systems strengthening approach on BP control among PLWH. TRIAL REGISTRATION Clinicaltrials.gov ( NCT05031819 ). Registered on 2nd September 2021.
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Affiliation(s)
- Angela A Aifah
- Institute for Excellence in Health Equity, New York University (NYU) Grossman School of Medicine, New York, NY, USA.
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, USA.
| | - Erinn M Hade
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Calvin Colvin
- Institute for Excellence in Health Equity, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Daniel Henry
- Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Gwagwalada, Abuja, Nigeria
| | - Shivani Mishra
- Institute for Excellence in Health Equity, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Ashlin Rakhra
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Deborah Onakomaiya
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Anyiekere Ekanem
- Department of Community Medicine, Faculty of Clinical Sciences, University of Uyo, Uyo, Akwa Ibom State, Nigeria
| | - Gabriel Shedul
- Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Gwagwalada, Abuja, Nigeria
- Department of Family Medicine, University of Abuja Teaching Hospital, Gwagwalada, Abuja, Nigeria
| | | | - Daphne Lew
- Washington University in St. Louis School of Medicine, St. Louis, USA
| | - Nafesa Kanneh
- Institute for Excellence in Health Equity, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Samuel Osagie
- Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Gwagwalada, Abuja, Nigeria
| | - Ememobong Udoh
- Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Gwagwalada, Abuja, Nigeria
| | - Esther Okon
- Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Gwagwalada, Abuja, Nigeria
| | - Juliet Iwelunmor
- Department of Behavioral Science and Health Education, College for Public Health and Social Justice, Saint Louis University, St. Louis, USA
| | - Angela Attah
- Akwa Ibom Primary Healthcare Development Board, State Primary Health Care Development Board, Uyo, Akwa Ibom State, Nigeria
| | - Gbenga Ogedegbe
- Institute for Excellence in Health Equity, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Dike Ojji
- Department of Internal Medicine, Faculty of Clinical Sciences, College of Health Sciences, University of Abuja, Gwagwalada, Abuja, Nigeria
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Roseleur J, Gonzalez-Chica DA, Harvey G, Stocks NP, Karnon J. The Cost of Uncontrolled Blood Pressure in Australian General Practice: A Modelling Study Using Electronic Health Records (MedicineInsight). PHARMACOECONOMICS 2023; 41:573-587. [PMID: 36870035 PMCID: PMC9985098 DOI: 10.1007/s40273-023-01251-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Hypertension is the most common condition seen in Australian general practice. Despite hypertension being amenable to lifestyle modifications and pharmacological treatment, only around half of these patients have controlled blood pressure levels (< 140/90 mmHg), placing them at an increased risk of cardiovascular disease. OBJECTIVE We aimed to estimate the health and acute hospitalisation costs of uncontrolled hypertension among patients attending general practice. METHODS We used population data and electronic health records from 634,000 patients aged 45-74 years who regularly attended an Australian general practice between 2016 and 2018 (MedicineInsight database). An existing worksheet-based costing model was adapted to calculate the potential cost savings for acute hospitalisation of primary cardiovascular disease events by reducing the risk of a cardiovascular event over the next 5 years through improved systolic blood pressure control. The model estimated the number of expected cardiovascular disease events and associated acute hospital costs under current levels of systolic blood pressure and compared this estimate with the expected number of cardiovascular disease events and costs under different levels of systolic blood pressure control. RESULTS The model estimated that across all Australians aged 45-74 years who visit their general practitioner (n = 8.67 million), 261,858 cardiovascular disease events can be expected over the next 5 years at current systolic blood pressure levels (mean 137.8 mmHg, standard deviation = 12.3 mmHg), with a cost of AUD$1813 million (in 2019-20). By reducing the systolic blood pressure of all patients with a systolic blood pressure greater than 139 mmHg to 139 mmHg, 25,845 cardiovascular disease events could be avoided with an associated reduction in acute hospital costs of AUD$179 million. If systolic blood pressure is lowered further to 129 mmHg for all those with systolic blood pressure greater than 129 mmHg, 56,169 cardiovascular disease events could be avoided with potential cost savings of AUD$389 million. Sensitivity analyses indicate that potential cost savings range from AUD$46 million to AUD$1406 million and AUD$117 million to AUD$2009 million for the two scenarios, respectively. Cost savings by practice range from AUD$16,479 for small practices to AUD$82,493 for large practices. CONCLUSIONS The aggregate cost effects of poor blood pressure control in primary care are high, but cost implications at the individual practice level are modest. The potential cost savings improve the potential to design cost-effective interventions, but such interventions may be best targeted at a population level rather than at individual practices.
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Affiliation(s)
- Jacqueline Roseleur
- School of Public Health, Faculty of Health Sciences, The University of Adelaide, Adelaide, SA, Australia.
- Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
- Flinders Health and Medical Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
| | - David A Gonzalez-Chica
- Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Adelaide Rural Clinical School, The University of Adelaide, Adelaide, SA, Australia
| | - Gillian Harvey
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Nigel P Stocks
- Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Jonathan Karnon
- Flinders Health and Medical Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
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Greenlee MC, Bolen S, Chong W, Dokun A, Gonzalvo J, Hawkins M, Herman WH, Leake E, Linder B, Conlin PR. The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Improve Diabetes Treatment and Reduce Complications. Diabetes Care 2023; 46:e51-e59. [PMID: 36701593 PMCID: PMC9887628 DOI: 10.2337/dc22-0621] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 09/08/2022] [Indexed: 01/27/2023]
Abstract
The Treatment and Complications subcommittee of the National Clinical Care Commission focused on factors likely to improve the delivery of high-quality care to all people with diabetes. The gap between available resources and the needs of people living with diabetes adversely impacts both treatment and outcomes. The Commission's recommendations are designed to bridge this gap. At the patient level, the Commission recommends reducing barriers and streamlining administrative processes to improve access to diabetes self-management training, diabetes devices, virtual care, and insulin. At the practice level, we recommend enhancing programs that support team-based care and developing capacity to support technology-enabled mentoring interventions. At the health system level, we recommend that the Department of Health and Human Services routinely assess the needs of the health care workforce and ensure funding of training programs directed to meet those needs. At the health policy level, we recommend establishing a process to identify and ensure pre-deductible insurance coverage for high-value diabetes treatments and services and developing a quality measure that reduces risk of hypoglycemia and enhances patient safety. We also identified several areas that need additional research, such as studying the barriers to uptake of diabetes self-management education and support, exploring methods to implement team-based care, and evaluating the importance of digital connectivity as a social determinant of health. The Commission strongly encourages Congress, the Department of Health and Human Services, and other federal departments and agencies to take swift action to implement these recommendations to improve health outcomes and quality of life among people living with diabetes.
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Affiliation(s)
| | - Shari Bolen
- Population Health Research Institute and Center for Health Care Research and Policy, Case Western Reserve at The MetroHealth System, Cleveland, OH
| | - William Chong
- Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, MD
| | - Ayotunde Dokun
- Division of Endocrinology and Metabolism, Carver School of Medicine, University of Iowa, Iowa City, IA
| | - Jasmine Gonzalvo
- Center for Health Equity and Innovation, Purdue University, Indianapolis, IN
| | - Meredith Hawkins
- Global Diabetes Institute, Albert Einstein College of Medicine, Bronx, NY
| | | | - Ellen Leake
- Juvenile Diabetes Research Foundation, Jackson, MS
| | - Barbara Linder
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Paul R. Conlin
- Department of Veterans Affairs Boston Healthcare System, Boston, MA
- Harvard Medical School, Boston, MA
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Wray LO, Oslin DW, Leong SH, Pitcock JA, Tauriello S, Drummond KL, Ritchie MJ. Enhancing Implementation of Measurement-Based Mental Health Care in Primary Care: A Mixed-Methods Study. Psychiatr Serv 2023:appips20220140. [PMID: 36597698 DOI: 10.1176/appi.ps.20220140] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE The complex practice of measurement-based care (MBC) for mental health conditions has proven challenging to implement. This study aimed to evaluate an intensive strategy to implement MBC in U.S. Department of Veterans Affairs (VA) Primary Care Mental Health Integration clinics. METHODS Ten paired sites were randomly assigned to receive national MBC resources alone or with an intensive implementation strategy (external facilitation plus quality improvement teams) between May 2018 and June 2020. The intervention occurred over 12-18 months; two site pairs completed participation before the COVID-19 pandemic. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, the authors conducted qualitative interviews and used administrative data to evaluate the implementation, adoption, reach, and effectiveness of MBC. RESULTS All sites improved during the study, suggesting the effectiveness of the VA's national MBC initiative. Sites with facilitation improved more than comparison sites in implementation, adoption, and reach of MBC. The effectiveness of MBC (i.e., clinician responsiveness to high patient-reported outcome measure [PROM] scores) was demonstrated at all sites both before and after facilitation. After the COVID-19 pandemic began, facilitation sites maintained or improved on their implementation gains, whereas comparison sites uniformly reported decreased emphasis on MBC. CONCLUSIONS Implementation facilitation resulted in greater gains in outcomes of interest and helped sites retain focus on MBC implementation. Regardless of study condition, clinicians were responsive to elevated PROM scores, but MBC had a larger impact on care at facilitation sites because of increased uptake. Multiple technological and contextual challenges remain, but MBC holds promise for improving routine mental health care.
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Affiliation(s)
- Laura O Wray
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - David W Oslin
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - Shirley H Leong
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - Jeffery A Pitcock
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - Sara Tauriello
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - Karen L Drummond
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
| | - Mona J Ritchie
- Office of Mental Health and Suicide Prevention, U.S. Department of Veterans Affairs (VA) Center for Integrated Healthcare, Washington, D.C. (Wray, Tauriello); Division of Geriatrics and Palliative Care, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo (Wray); Veterans Integrated Service Network (VISN) 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia (Oslin, Leong); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin); Tigermed-BDM, Somerset, New Jersey (Leong); VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock (Pitcock, Drummond, Ritchie); Department of Psychology, College of Arts and Sciences, University at Buffalo, Buffalo (Tauriello); Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock (Drummond, Ritchie)
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Ludden T, O’Hare K, Shade L, Reeves K, Patterson CG, Tapp H. Implementation of Coach McLungsSM into primary care using a cluster randomized stepped wedge trial design. BMC Med Inform Decis Mak 2022; 22:285. [PMID: 36333727 PMCID: PMC9636750 DOI: 10.1186/s12911-022-02030-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/22/2022] [Indexed: 11/06/2022] Open
Abstract
Background Asthma is a prevalent chronic disease that is difficult to manage and associated with marked disparities in outcomes. One promising approach to addressing disparities is shared decision making (SDM), a method by which the patient and provider cooperatively make a decision about asthma care. SDM is associated with improved outcomes for patients; however, time constraints and staff availability are noted implementation barriers. Use of health information technology (IT) solutions may facilitate the utilization of SDM. Coach McLungsSM is a collaborative web-based application that involves pediatric patients, their caregivers, and providers in a personalized experience while gathering patient-reported data. Background logic provides decision support so both audiences can develop a well-informed treatment plan together. The goal of this study is to evaluate the implementation of the Coach McLungsSM intervention into primary care. Methods Implementation will be evaluated using a stepped wedge randomized control study design at 21 pediatric and family medicine practices within a large, integrated, nonprofit healthcare system. We will measure changes in emergency department visits, hospitalizations, and oral steroid use, which serve as surrogate measures for patient-centered asthma outcomes. We will use a generalized linear mixed models with logit link to test the hypothesis for the reduction in exacerbation rates specifying the fixed effects of intervention and time and random effects for practice and practice*time. This design achieves 84% power to detect the hypothesized effect size difference of 10% in overall exacerbation between control (40%) and intervention (30%) periods (two-sided, p = 0.05). Implementation will be guided using the Expert Recommendations for Implementing Change (ERIC), a compilation of implementation strategies, and evaluated using the CFIR (Consolidated Framework for Implementation Research) and RE-AIM (Reach Effectiveness, Adoption, Implementation, Maintenance). Discussion We anticipate that a tailored implementation of Coach McLungsSM across diverse primary care practices will lead to a decrease in emergency department visits, hospitalizations, and oral steroid use for patients in the intervention group as compared to the control condition. Trial Registration: Clincaltrials.gov, NCT05059210. Registered 28 September 2021, https://www.clinicaltrials.gov/ct2/show/NCT05059210 Supplementary Information The online version contains supplementary material available at 10.1186/s12911-022-02030-1.
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22
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Edelman EJ, Gan G, Dziura J, Esserman D, Porter E, Becker WC, Chan PA, Cornman DH, Helfrich CD, Reynolds J, Yager JE, Morford KL, Muvvala SB, Fiellin DA. Effect of Implementation Facilitation to Promote Adoption of Medications for Addiction Treatment in US HIV Clinics: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2236904. [PMID: 36251291 PMCID: PMC9577676 DOI: 10.1001/jamanetworkopen.2022.36904] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/30/2022] [Indexed: 11/30/2022] Open
Abstract
Importance Medications for addiction treatment (MAT) are inconsistently offered in HIV clinics. Objective To evaluate the impact of implementation facilitation (hereafter referred to as "facilitation"), a multicomponent implementation strategy, on increasing provision of MAT for opioid use disorder (MOUD), alcohol use disorder (MAUD), and tobacco use disorder (MTUD). Design, Setting, and Participants Conducted from July 26, 2016, through July 25, 2020, the Working with HIV Clinics to adopt Addiction Treatment using Implementation Facilitation (WHAT-IF?) study used an unblinded, stepped wedge design to sequentially assign each of 4 HIV clinics in the northeastern US to cross over from control (ie, baseline practices) to facilitation (ie, intervention) and then evaluation and maintenance periods every 6 months. Participants were adult patients with opioid, alcohol, or tobacco use disorder. Data analysis was performed from August 2020 to September 2022. Interventions Multicomponent facilitation. Main Outcomes and Measures Outcomes, assessed using electronic health record data, were provision of MAT among patients with opioid, alcohol, or tobacco use disorder during the evaluation (primary outcome) and maintenance periods compared with the control period. Results Among 3647 patients, the mean (SD) age was 49 (12) years, 1814 (50%) were Black, 781 (22%) were Hispanic, and 1407 (39%) were female; 121 (3%) had opioid use disorder, 126 (3%) had alcohol use disorder, and 420 (12%) had tobacco use disorder. Compared with the control period, there was no increase in provision of MOUD with facilitation during the evaluation period (243 patients [27%; 95% CI, 22%-32%] vs 135 patients [28%; 95% CI, 22%-35%]; P = .59) or maintenance period (198 patients [29%; 95% CI, 22%-36%]; P = .48). The change in provision of MAUD from the control period to the evaluation period was not statistically significant (251 patients [8%; 95% CI, 5%-12%] vs 112 patients [13%; 95% CI, 8%-21%]; P = .11); however, the difference increased and became significant during the maintenance period (180 patients [17%; 95% CI, 12%-24%]; P = .009). There were significant increases in provision of MTUD with facilitation during both the evaluation (810 patients [33%; 95% CI, 30%-36%] vs 471 patients [40%; 95% CI, 36%-45%]; P = .005) and maintenance (643 patients [38%; 95% CI, 34%-41%]; P = .047) periods. Conclusions and Relevance In this randomized clinical trial, facilitation led to increased provision of MTUD, delayed improvements in MAUD, and no improvements in MOUD in HIV clinics. Enhanced strategies, potentially including clinic and patient incentives, especially for MOUD, may be needed to further increase provision of MAT in HIV clinics. Trial Registration ClinicalTrials.gov Identifier: NCT02907944.
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Affiliation(s)
- E. Jennifer Edelman
- Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, Connecticut
| | - Geliang Gan
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, Connecticut
| | - James Dziura
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, Connecticut
- Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Denise Esserman
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, Connecticut
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Elizabeth Porter
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - William C. Becker
- Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- VA Connecticut Healthcare System, West Haven
| | - Philip A. Chan
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Deborah H. Cornman
- Institute for Collaboration on Health, Intervention, and Policy (InCHIP), University of Connecticut, Storrs
| | | | - Jesse Reynolds
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, Connecticut
| | | | - Kenneth L. Morford
- Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Srinivas B. Muvvala
- Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - David A. Fiellin
- Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, Connecticut
- Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut
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Sweeney SM, Baron A, Hall JD, Ezekiel-Herrera D, Springer R, Ward RL, Marino M, Balasubramanian BA, Cohen DJ. Effective Facilitator Strategies for Supporting Primary Care Practice Change: A Mixed Methods Study. Ann Fam Med 2022; 20:414-422. [PMID: 36228060 PMCID: PMC9512557 DOI: 10.1370/afm.2847] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 03/16/2022] [Accepted: 05/04/2022] [Indexed: 11/09/2022] Open
Abstract
PURPOSE Practice facilitation is an evidence-informed implementation strategy to support quality improvement (QI) and aid practices in aligning with best evidence. Few studies, particularly of this size and scope, identify strategies that contribute to facilitator effectiveness. METHODS We conducted a sequential mixed methods study, analyzing data from EvidenceNOW, a large-scale QI initiative. Seven regional cooperatives employed 162 facilitators to work with 1,630 small or medium-sized primary care practices. Main analyses were based on facilitators who worked with at least 4 practices. Facilitators were defined as more effective if at least 75% of their practices improved on at least 1 outcome measure-aspirin use, blood pressure control, smoking cessation counseling (ABS), or practice change capacity, measured using Change Process Capability Questionnaire-from baseline to follow-up. Facilitators were defined as less effective if less than 50% of their practices improved on these outcomes. Using an immersion crystallization and comparative approach, we analyzed observational and interview data to identify strategies associated with more effective facilitators. RESULTS Practices working with more effective facilitators had a 3.6% greater change in the mean percentage of patients meeting the composite ABS measure compared with practices working with less effective facilitators (P <.001). More effective facilitators cultivated motivation by tailoring QI work and addressing resistance, guided practices to think critically, and provided accountability to support change, using these strategies in combination. They were able to describe their work in detail. In contrast, less effective facilitators seldom used these strategies and described their work in general terms. Facilitator background, experience, and work on documentation did not differentiate between more and less effective facilitators. CONCLUSIONS Facilitation strategies that differentiate more and less effective facilitators have implications for enhancing facilitator development and training, and can assist all facilitators to more effectively support practice changes.
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Affiliation(s)
- Shannon M Sweeney
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
| | - Andrea Baron
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
| | - Jennifer D Hall
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
| | | | - Rachel Springer
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
| | - Rikki L Ward
- Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Dallas, Texas
| | - Miguel Marino
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
| | - Bijal A Balasubramanian
- Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Dallas, Texas
| | - Deborah J Cohen
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
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24
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Stover AM, Wang M, Shea CM, Richman E, Rees J, Cherrington AL, Cummings DM, Nicholson L, Peaden S, Craft M, Mackey M, Safford MM, Halladay JR. The Key Driver Implementation Scale (KDIS) for practice facilitators: Psychometric testing in the “Southeastern collaboration to improve blood pressure control” trial. PLoS One 2022; 17:e0272816. [PMID: 36001592 PMCID: PMC9401114 DOI: 10.1371/journal.pone.0272816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 07/17/2022] [Indexed: 11/19/2022] Open
Abstract
Background Practice facilitators (PFs) provide tailored support to primary care practices to improve the quality of care delivery. Often used by PFs, the “Key Driver Implementation Scale” (KDIS) measures the degree to which a practice implements quality improvement activities from the Chronic Care Model, but the scale’s psychometric properties have not been investigated. We examined construct validity, reliability, floor and ceiling effects, and a longitudinal trend test of the KDIS items in the Southeastern Collaboration to Improve Blood Pressure Control trial. Methods The KDIS items assess a practice’s progress toward implementing: a clinical information system (using their own data to drive change); standardized care processes; optimized team care; patient self-management support; and leadership support. We assessed construct validity and estimated reliability with a multilevel confirmatory factor analysis (CFA). A trend test examined whether the KDIS items increased over time and estimated the expected number of months needed to move a practice to the highest response options. Results PFs completed monthly KDIS ratings over 12 months for 32 primary care practices, yielding a total of 384 observations. Data was fitted to a unidimensional CFA model; however, parameter fit was modest and could be improved. Reliability was 0.70. Practices started scoring at the highest levels beginning in month 5, indicating low variability. The KDIS items did show an upward trend over 12 months (all p < .001), indicating that practices were increasingly implementing key activities. The expected time to move a practice to the highest response category was 9.1 months for standardized care processes, 10.2 for clinical information system, 12.6 for self-management support, 13.1 for leadership, and 14.3 months for optimized team care. Conclusions The KDIS items showed acceptable reliability, but work is needed in larger sample sizes to determine if two or more groups of implementation activities are being measured rather than one.
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Affiliation(s)
- Angela M. Stover
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
- Lineberger Comprehensive Cancer Center, Chapel Hill, NC, United States of America
- * E-mail:
| | - Mian Wang
- Lineberger Comprehensive Cancer Center, Chapel Hill, NC, United States of America
| | - Christopher M. Shea
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Erica Richman
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Jennifer Rees
- NC Tracs Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Andrea L. Cherrington
- University of Alabama Birmingham, School of Medicine, Birmingham, AL, United States of America
| | | | - Liza Nicholson
- Department of Public Health, Samford University, Birmingham, AL, United States of America
| | - Shannon Peaden
- East Carolina University, Greenville, NC, United States of America
| | - Macie Craft
- University of Alabama Birmingham, School of Medicine, Birmingham, AL, United States of America
| | - Monique Mackey
- Area L Area Health Education Center (AHEC)—Part of the NC AHEC Program, Rocky Mount, NC, United States of America
| | | | - Jacqueline R. Halladay
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
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25
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White J, Byles J, Williams T, Untaru R, Ngo DTM, Sverdlov AL. Early access to a cardio-oncology clinic in an Australian context: a qualitative exploration of patient experiences. CARDIO-ONCOLOGY 2022; 8:14. [PMID: 35945637 PMCID: PMC9364611 DOI: 10.1186/s40959-022-00140-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 07/11/2022] [Indexed: 11/10/2022]
Abstract
Background Dedicated cardio-oncology services are emerging rapidly around the world in order to provide cardiovascular care (CV) for cancer patients. The perspectives of patients regarding their experience of cardiac surveillance during their cancer journey has not been qualitatively evaluated. Methods An interpretative qualitative study. Fifteen, in-depth qualitative interviews were conducted with a diverse range of community dwelling patients who attended a newly established cardio-oncology clinic in a large regional city in Australia. Data were analysed using an inductive thematic approach. Results Key themes were identified: (1) Access to a cardio-oncology clinic promotes information and understanding, (2) The experience of early CV intervention, (3) Factors promoting integrated care, (4) Balancing cancer treatment and CV symptoms and (5) Managing past and emerging CV risk factors. Conclusion As cardio oncology clinics continue to emerge, this study confirms the benefit of early access to a cardiologist for management of existing or emerging CV risk factors and diseases in the context of cancer treatment. Participants valued the opportunity for regular monitoring and management of CV issues that enabled them to continue cancer treatment. However, we identified gaps in education and support towards making positive lifestyle changes that reduce the risk of CV diseases in cancer patients.
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Barnard JG, Marsh R, Anderson-Mellies A, Williams JL, Fisher MP, Cockburn MG, Dempsey AF, Cataldi JR. Pre-implementation evaluation for an HPV vaccine provider communication intervention among primary care clinics. Vaccine 2022; 40:4835-4844. [PMID: 35792022 PMCID: PMC10575754 DOI: 10.1016/j.vaccine.2022.06.074] [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: 09/28/2021] [Revised: 05/06/2022] [Accepted: 06/23/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVES Interventions to improve health care provider communication about HPV vaccination can increase vaccine acceptance. Our objectives were to (1) identify clinics in locations with high HPV-associated cancer and low HPV-vaccination rates that would potentially benefit from dissemination of a proposed HPV Provider Communication intervention and (2) use qualitative interviews and a dissemination and implementation framework to assess readiness for change and fit of the HPV Provider Communication intervention to the context of these clinics. METHODS Local HPV-associated cancer and HPV vaccination rates were assigned to Practice-Based Research Network clinics using data from the Colorado Central Cancer Registry, the Colorado Immunization Information System, and the American Community Survey. Staff from 38 clinics located in areas with high numbers of adolescents not up-to-date for HPV vaccine and high rates of HPV-associated cancers were recruited for qualitative interviews. Interview questions used the Promoting Action on Research Implementation in Health Services (PARIHS) conceptual framework and addressed the proposed intervention, current vaccination practices and prior quality improvement (QI) experience. RESULTS Twenty-seven interviews were completed with clinicians, clinic managers, and other staff across 17 clinics (9 pediatric, 5 family medicine, 3 public/school-based health). Most clinics had some prior QI experience and there were few thematic differences between sites with more or less foundation for QI/immunization work. Participants were motivated to improve the health of their patients and valued both guidelines and local experience as important evidence to consider adopting an intervention. Interviewees were more interested in implementing the proposed intervention if it aligned with existing priorities and fit within clinic workflows. Facilitation needs included adequate time and external facilitation support for data tracking and analysis. CONCLUSIONS Qualitative interviews to understand clinic context and fit of an HPV Provider Communication intervention can inform implementation in settings with the highest potential for clinical impact.
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Affiliation(s)
- Juliana G Barnard
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Rebekah Marsh
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Johnny L Williams
- Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Michael P Fisher
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Myles G Cockburn
- University of Colorado Cancer Center, Aurora, CO, USA; Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | | | - Jessica R Cataldi
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
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Ye J, Woods D, Bannon J, Bilaver L, Kricke G, McHugh M, Kho A, Walunas T. Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study. JMIR Hum Factors 2022; 9:e32174. [PMID: 35749211 PMCID: PMC9269526 DOI: 10.2196/32174] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/11/2021] [Accepted: 05/01/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The past decade has seen increasing opportunities and efforts to integrate quality improvement into health care. Practice facilitation is a proven strategy to support redesign and improvement in primary care practices that focuses on building organizational capacity for continuous improvement. Practice leadership, staff, and practice facilitators all play important roles in supporting quality improvement in primary care. However, little is known about their perspectives on the context, enablers, barriers, and strategies that impact quality improvement initiatives. OBJECTIVE This study aimed to develop a framework to enable assessment of contextual factors, challenges, and strategies that impact practice facilitation, clinical measure performance, and the implementation of quality improvement interventions. We also illustrated the application of the framework using a real-world case study. METHODS We developed the TITO (task, individual, technology, and organization) framework by conducting participatory stakeholder workshops and incorporating their perspectives to identify enablers and barriers to quality improvement and practice facilitation. We conducted a case study using a mixed methods approach to demonstrate the use of the framework and describe practice facilitation and factors that impact quality improvement in a primary care practice that participated in the Healthy Hearts in the Heartland study. RESULTS The proposed framework was used to organize and analyze different stakeholders' perspectives and key factors based on framework domains. The case study showed that practice leaders, staff, and practice facilitators all influenced the success of the quality improvement program. However, these participants faced different challenges and used different strategies. The framework showed that barriers stemmed from patients' social determinants of health, a lack of staff and time, and unsystematic facilitation resources, while enablers included practice culture, staff buy-in, implementation of effective practice facilitation strategies, practice capacity for change, and shared complementary resources from similar, ongoing programs. CONCLUSIONS Our framework provided a useful and generalizable structure to guide and support assessment of future practice facilitation projects, quality improvement initiatives, and health care intervention implementation studies. The practice leader, staff, and practice facilitator all saw value in the quality improvement program and practice facilitation. Practice facilitators are key liaisons to help the quality improvement program; they help all stakeholders work toward a shared target and leverage tailored strategies. Taking advantage of resources from competing, yet complementary, programs as additional support may accelerate the effective achievement of quality improvement goals. Practice facilitation-supported quality improvement programs may be opportunities to assist primary care practices in achieving improved quality of care through focused and targeted efforts. The case study demonstrated how our framework can support a better understanding of contextual factors for practice facilitation, which could enable well-prepared and more successful quality improvement programs for primary care practices. Combining implementation science and informatics thinking, our TITO framework may facilitate interdisciplinary research in both fields.
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Affiliation(s)
- Jiancheng Ye
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Donna Woods
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Jennifer Bannon
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lucy Bilaver
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Gayle Kricke
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Megan McHugh
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Abel Kho
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Theresa Walunas
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Kho A, Daumit GL, Truesdale KP, Brown A, Kilbourne AM, Ladapo J, Wali S, Cicutto L, Matthews AK, Smith JD, Davis PD, Schoenthaler A, Ogedegbe G, Islam N, Mills KT, He J, Watson KS, Winn RA, Stevens J, Huebschmann AG, Szefler SJ. The National Heart Lung and Blood Institute Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Alliance. Health Serv Res 2022; 57 Suppl 1:20-31. [PMID: 35383917 PMCID: PMC9108215 DOI: 10.1111/1475-6773.13983] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE To describe the National Heart Lung and Blood Institute (NHLBI) sponsored Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease (DECIPHeR) Alliance to support late-stage implementation research aimed at reducing disparities in communities with high burdens of cardiovascular and/or pulmonary disease. STUDY SETTING NHBLI funded seven DECIPHeR studies and a Coordinating Center. Projects target high-risk diverse populations including racial and ethnic minorities, urban, rural, and low-income communities, disadvantaged children, and persons with serious mental illness. Two projects address multiple cardiovascular risk factors, three focus on hypertension, one on tobacco use, and one on pediatric asthma. STUDY DESIGN The initial phase supports planning activities for sustainable uptake of evidence-based interventions in targeted communities. The second phase tests late-stage evidence-based implementation strategies. DATA COLLECTION/EXTRACTION METHODS Not applicable. PRINCIPAL FINDINGS We provide an overview of the DECIPHeR Alliance and individual study designs, populations, and settings, implementation strategies, interventions, and outcomes. We describe the Alliance's organizational structure, designed to promote cross-center partnership and collaboration. CONCLUSIONS The DECIPHeR Alliance represents an ambitious national effort to develop sustainable implementation of interventions to achieve cardiovascular and pulmonary health equity.
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Affiliation(s)
- Abel Kho
- Center for Health Information Partnerships (CHiP)Northwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Gail L. Daumit
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Kimberly P. Truesdale
- Department of Nutrition, Gillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - Arleen Brown
- Department of Internal MedicineUniversity of Los Angeles School of MedicineLos AngelesCAUSA
| | - Amy M. Kilbourne
- Department of Learning Health SciencesUniversity of Michigan MedicineAnn ArborMichiganUSA
- Quality Enhancement Research Initiative (QUERI)U.S. Department of Veterans AffairsWashington, D.C.USA
| | - Joseph Ladapo
- Department of MedicineUniversity of Florida College of MedicineGainesvilleFloridaUSA
| | - Soma Wali
- Department of Internal MedicineUniversity of Los Angeles School of MedicineLos AngelesCAUSA
| | - Lisa Cicutto
- Department of MedicineNational Jewish Health, Community Outreach and ResearchDenverColoradoUSA
| | | | - Justin D. Smith
- Department of Population Health SciencesUniversity of Utah HealthSalt Lake CityUtahUSA
| | - Paris D. Davis
- Total Resource Community Development OrganizationNorthwestern UniversityChicagoIllinoisUSA
| | - Antoinette Schoenthaler
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
| | - Gbenga Ogedegbe
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
| | - Nadia Islam
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
| | - Katherine T. Mills
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLouisianaUSA
| | - Jiang He
- Department of EpidemiologyTulane University School of Public Health and Tropical MedicineNew OrleansLouisianaUSA
| | - Karriem S. Watson
- NIH All of Us Bethesda, MD; FormerlyUniversity of Illinois in Chicago Hospital and Health Sciences System, Mile Square Health Center ChicagoIllinoisUSA
| | - Robert A. Winn
- Massey Cancer CenterVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - June Stevens
- Department of Nutrition, Gillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - Amy G. Huebschmann
- Department of Medicine, Division of General Internal MedicineUniversity of Colorado Denver School of MedicineAuroraColoradoUSA
| | - Stanley J. Szefler
- Department of PediatricsUniversity of Colorado Denver School of MedicineDenverColoradoUSA
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Coronado GD, Leo MC, Ramsey K, Coury J, Petrik AF, Patzel M, Kenzie ES, Thompson JH, Brodt E, Mummadi R, Elder N, Davis MM. Mailed fecal testing and patient navigation versus usual care to improve rates of colorectal cancer screening and follow-up colonoscopy in rural Medicaid enrollees: a cluster-randomized controlled trial. Implement Sci Commun 2022; 3:42. [PMID: 35418107 PMCID: PMC9006522 DOI: 10.1186/s43058-022-00285-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 03/19/2022] [Indexed: 11/23/2022] Open
Abstract
Background Screening reduces incidence and mortality from colorectal cancer (CRC), yet US screening rates are low, particularly among Medicaid enrollees in rural communities. We describe a two-phase project, SMARTER CRC, designed to achieve the National Cancer Institute Cancer MoonshotSM objectives by reducing the burden of CRC on the US population. Specifically, SMARTER CRC aims to test the implementation, effectiveness, and maintenance of a mailed fecal test and patient navigation program to improve rates of CRC screening, follow-up colonoscopy, and referral to care in clinics serving rural Medicaid enrollees. Methods Phase I activities in SMARTER CRC include a two-arm cluster-randomized controlled trial of a mailed fecal test and patient navigation program involving three Medicaid health plans and 30 rural primary care practices in Oregon and Idaho; the implementation of the program is supported by training and practice facilitation. Participating clinic units were randomized 1:1 into the intervention or usual care. The intervention combines (1) mailed fecal testing outreach supported by clinics, health plans, and vendors and (2) patient navigation for colonoscopy following an abnormal fecal test result. We will evaluate the effectiveness, implementation, and maintenance of the intervention and track adaptations to the intervention and to implementation strategies, using quantitative and qualitative methods. Our primary effectiveness outcome is receipt of any CRC screening within 6 months of enrollee identification. Our primary implementation outcome is health plan- and clinic-level rates of program delivery, by component (mailed FIT and patient navigation). Trial results will inform phase II activities to scale up the program through partnerships with health plans, primary care clinics, and regional and national organizations that serve rural primary care clinics; scale-up will include webinars, train-the-trainer workshops, and collaborative learning activities. Discussion This study will test the implementation, effectiveness, and scale-up of a multi-component mailed fecal testing and patient navigation program to improve CRC screening rates in rural Medicaid enrollees. Our findings may inform approaches for adapting and scaling evidence-based approaches to promote CRC screening participation in underserved populations and settings. Trial registration Registered at clinicaltrial.gov (NCT04890054) and at the NCI’s Clinical Trials Reporting Program (CTRP #: NCI-2021-01032) on May 11, 2021.
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Affiliation(s)
- Gloria D Coronado
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA.
| | - Michael C Leo
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Katrina Ramsey
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA.,OHSU Biostatistics and Design Program, 3181 S.W. Sam Jackson Park Road, Mail code: CB669, Portland, OR, 97239-3098, USA
| | - Jennifer Coury
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
| | - Amanda F Petrik
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Mary Patzel
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
| | - Erin S Kenzie
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
| | - Jamie H Thompson
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Erik Brodt
- OHSU Family Medicine, OHSU School of Medicine, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
| | - Raj Mummadi
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Nancy Elder
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA.,OHSU Family Medicine, OHSU School of Medicine, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
| | - Melinda M Davis
- Oregon Rural Practice-Based Research Network, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA.,OHSU Family Medicine, OHSU School of Medicine, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA.,OHSU-PSU School of Public Health, 3181 S.W. Sam Jackson Park Road, Mail code: L222, Portland, OR, 97239-3098, USA
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Ballengee LA, Rushton S, Lewinski AA, Hwang S, Zullig LL, Ricks KAB, Ramos K, Brahmajothi MV, Moore TS, Blalock DV, Cantrell S, Kosinski AS, Gordon A, Ear B, Williams JW, Gierisch JM, Goldstein KM. Effectiveness of Quality Improvement Coaching on Process Outcomes in Health Care Settings: A Systematic Review. J Gen Intern Med 2022; 37:885-899. [PMID: 34981354 PMCID: PMC8904663 DOI: 10.1007/s11606-021-07217-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 10/15/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND A culture of improvement is an important feature of high-quality health care systems. However, health care teams often need support to translate quality improvement (QI) activities into practice. One method of support is consultation from a QI coach. The literature suggests that coaching interventions have a positive impact on clinical outcomes. However, the impact of coaching on specific process outcomes, like adoption of clinical care activities, is unknown. Identifying the process outcomes for which QI coaching is most effective could provide specific guidance on when to employ this strategy. METHODS We searched multiple databases from inception through July 2021. Studies that addressed the effects of QI coaching on process of care outcomes were included. Two reviewers independently extracted study characteristics and assessed risk of bias. Certainty of evidence was assessed using GRADE. RESULTS We identified 1983 articles, of which 23 cluster-randomized trials met eligibility criteria. All but two took place in a primary care setting. Overall, interventions typically targeted multiple simultaneous processes of care activities. We found that coaching probably has a beneficial effect on composite process of care outcomes (n = 9) and ordering of labs and vital signs (n = 6), and possibly has a beneficial effect on changes in organizational process of care (n = 5), appropriate documentation (n = 5), and delivery of appropriate counseling (n = 3). We did not perform meta-analyses because of conceptual heterogeneity around intervention design and outcomes; rather, we synthesized the data narratively. Due to imprecision, inconsistency, and high risk of bias of the included studies, we judged the certainty of these results as low or very low. CONCLUSION QI coaching interventions may affect certain processes of care activities such as ordering of labs and vital signs. Future research that advances the identification of when QI coaching is most beneficial for health care teams seeking to implement improvement processes in pursuit of high-quality care will support efficient use of QI resources. PROTOCOL REGISTRATION This study was registered and followed a published protocol (PROSPERO: CRD42020165069).
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Affiliation(s)
- Lindsay A Ballengee
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA.
- Department of Orthopaedic Surgery, Duke University School of Medicine, Division of Physical Therapy, Duke University, Durham, NC, USA.
| | | | - Allison A Lewinski
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- School of Nursing, Duke University, Durham, NC, USA
| | - Soohyun Hwang
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Leah L Zullig
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Katharine A Ball Ricks
- Cecil G. Sheps Center for Health Service Research, University of North Carolina, Chapel Hill, NC, USA
| | - Katherine Ramos
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Department of Medicine Geriatrics, Duke University, Durham, NC, USA
- Center for the Study of Aging and Human Development, Duke University, Durham, NC, USA
| | - Mulugu V Brahmajothi
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - Thomasena S Moore
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
| | - Dan V Blalock
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Sarah Cantrell
- Duke University Medical Center Library, Duke University School of Medicine, Durham, NC, USA
| | - Andrzej S Kosinski
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Adelaide Gordon
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
| | - Belinda Ear
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
| | - John W Williams
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer M Gierisch
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Karen M Goldstein
- Durham Center of Innovation To Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, 411 West Chapel Hill St., Suite 600, Durham, NC, 27701, USA
- Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA
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The Coordination Toolkit and Coaching Project: Cluster-Randomized Quality Improvement Initiative to Improve Patient Experience of Care Coordination. J Gen Intern Med 2022; 37:95-103. [PMID: 34109545 PMCID: PMC8739408 DOI: 10.1007/s11606-021-06926-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 05/11/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Given persistent gaps in coordination of care for medically complex primary care patients, efficient strategies are needed to promote better care coordination. OBJECTIVE The Coordination Toolkit and Coaching project compared two toolkit-based strategies of differing intensity to improve care coordination at VA primary care clinics. DESIGN Multi-site, cluster-randomized QI initiative. PARTICIPANTS Twelve VA primary care clinics matched in 6 pairs. INTERVENTIONS We used a computer-generated allocation sequence to randomize clinics within each pair to two implementation strategies. Active control clinics received an online toolkit with evidence-based tools and QI coaching manual. Intervention clinics received the online toolkit plus weekly assistance from a distance coach for 12 months. MAIN MEASURES We quantified patient experience of general care coordination using the Health Care System Hassles Scale (primary outcome) mailed at baseline and 12-month follow-up to serial cross-sectional patient samples. We measured the difference-in-difference (DiD) in clinic-level-predicted mean counts of hassles between coached and non-coached clinics, adjusting for clustering and patient characteristics using zero-inflated negative binomial regression and bootstrapping to obtain 95% confidence intervals. Other measures included care coordination QI projects attempted, tools adopted, and patient-reported exposure to projects. KEY RESULTS N = 2,484 (49%) patients completed baseline surveys and 2,481 (48%) completed follow-ups. Six coached clinics versus five non-coached clinics attempted QI projects. All coached clinics versus two non-coached clinics attempted more than one project or projects that were multifaceted (i.e., involving multiple components addressing a common goal). Five coached versus three non-coached clinics used 1-2 toolkit tools. Both the coached and non-coached clinics experienced pre-post reductions in hassle counts over the study period (- 0.42 (- 0.76, - 0.08) non-coached; - 0.40 (- 0.75, - 0.06) coached). However, the DiD (0.02 (- 0.47, 0.50)) was not statistically significant; coaching did not improve patient experience of care coordination relative to the toolkit alone. CONCLUSION Although coached clinics attempted more or more complex QI projects and used more tools than non-coached clinics, coaching provided no additional benefit versus the online toolkit alone in patient-reported outcomes. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT03063294.
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Kirchner JE, Dollar KM, Smith JL, Pitcock JA, Curtis ND, Morris KK, Fletcher TL, Topor DR. Development and Preliminary Evaluation of an Implementation Facilitation Training Program. IMPLEMENTATION RESEARCH AND PRACTICE 2022; 3:26334895221087475. [PMID: 37091085 PMCID: PMC9924286 DOI: 10.1177/26334895221087475] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: Implementation scientists are identifying evidence-based implementation strategies that support the uptake of evidence-based practices and other clinical innovations. However, there is limited information regarding the development of training methods to educate implementation practitioners on the use of implementation strategies and help them sustain these competencies. Methods: To address this need, we developed, implemented, and evaluated a training program for one strategy, implementation facilitation (IF), that was designed to maximize applicability in diverse clinical settings. Trainees included implementation practitioners, clinical managers, and researchers. From May 2017 to July 2019, we sent trainees an electronic survey via email and asked them to complete the survey at three-time points: approximately 2 weeks before and 2 weeks and 6 months after each training. Participants ranked their knowledge of and confidence in applying IF skills using a 4-point Likert scale. We compared scores at baseline to post-training and at 6 months, as well as post-training to 6 months post-training (nonparametric Wilcoxon signed-rank tests). Results: Of the 102 participants (76 in-person, 26 virtual), there was an increase in perceived knowledge and confidence in applying IF skills across all learning objectives from pre- to post-training (95% response rate) and pre- to 6-month (35% response rate) follow-up. There was no significant difference in results between virtual and in-person trainees. When comparing post-training to 6 months (30% response rate), perceptions of knowledge increase remained unchanged, although participants reported reduced perceived confidence in applying IF skills for half of the learning objectives at 6 months. Conclusions: Findings indicated that we have developed a promising IF training program. Lack of differences in results between virtual and in-person participants indicated the training can be provided to a remote site without loss of knowledge/skills transfer but ongoing support may be needed to help sustain perceived confidence in applying these skills. Plain Language Summary While implementation scientists are documenting an increasing number of implementation strategies that support the uptake of evidence-based practices and other clinical innovations, little is known about how to transfer this knowledge to those who conduct implementation efforts in the frontline clinical practice settings. We developed, implemented, and conducted a preliminary evaluation of a training program for one strategy, implementation facilitation (IF). The training program targets facilitation practitioners, clinical managers, and researchers. This paper describes the development of the training program, the program components, and the results from an evaluation of IF knowledge and skills reported by a subset of people who participated in the training. Findings from the evaluation indicate that this training program significantly increased trainees' perceived knowledge of and confidence in applying IF skills. Further research is needed to examine whether ongoing mentoring helps trainees retain confidence in applying some IF skills over the longer term.
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Affiliation(s)
- JoAnn E. Kirchner
- Department of Veterans Affairs, VA Behavioral Health Quality Enhancement Research Initiative (QUERI), North Little Rock, AR, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Jeffrey L. Smith
- Department of Veterans Affairs, VA Behavioral Health Quality Enhancement Research Initiative (QUERI), North Little Rock, AR, USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Jeffery A. Pitcock
- Department of Veterans Affairs, VA Behavioral Health Quality Enhancement Research Initiative (QUERI), North Little Rock, AR, USA
| | - Nyssa D. Curtis
- Department of Veterans Affairs, VA Behavioral Health Quality Enhancement Research Initiative (QUERI), North Little Rock, AR, USA
| | - Krissi K. Morris
- Department of Veterans Affairs, VA Behavioral Health Quality Enhancement Research Initiative (QUERI), North Little Rock, AR, USA
| | - Terri L. Fletcher
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Baylor College of Medicine, Houston, TX, USA
- VA South Central Mental Illness Research, Education and Clinical Center (A Virtual Center), Houston, TX, USA
| | - David R. Topor
- VA Boston Healthcare System, Brockton, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Jonas DE, Barclay C, Grammer D, Weathington C, Birken SA, DeWalt DA, Shoenbill KA, Boynton MH, Mackey M, Riley S, Cykert S. The STUN (STop UNhealthy) Alcohol Use Now trial: study protocol for an adaptive randomized trial on dissemination and implementation of screening and management of unhealthy alcohol use in primary care. Trials 2021; 22:810. [PMID: 34784953 PMCID: PMC8593635 DOI: 10.1186/s13063-021-05641-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 09/17/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional. METHODS/DESIGN This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months. DISCUSSION A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices. TRIAL REGISTRATION ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020.
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Affiliation(s)
- Daniel E Jonas
- Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, The Ohio State University, 2050 Kenny Road, Columbus, Ohio, 43221, USA.
- Cecil G. Sheps Center for Health Services Research, CB 7590, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Colleen Barclay
- Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, The Ohio State University, 2050 Kenny Road, Columbus, Ohio, 43221, USA
- Cecil G. Sheps Center for Health Services Research, CB 7590, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Debbie Grammer
- North Carolina Area Health Education Centers, CB 7165, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Chris Weathington
- North Carolina Area Health Education Centers, CB 7165, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Sarah A Birken
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, 27101, USA
| | - Darren A DeWalt
- Cecil G. Sheps Center for Health Services Research, CB 7590, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Division of General Medicine and Clinical Epidemiology, CB 7110, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Kimberly A Shoenbill
- Department of Family Medicine, CB 7370, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Program on Health and Clinical Informatics, CB 7064, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Marcella H Boynton
- Division of General Medicine and Clinical Epidemiology, CB 7110, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Monique Mackey
- North Carolina Area Health Education Centers, CB 7165, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Sean Riley
- Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, The Ohio State University, 2050 Kenny Road, Columbus, Ohio, 43221, USA
- Cecil G. Sheps Center for Health Services Research, CB 7590, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Samuel Cykert
- Cecil G. Sheps Center for Health Services Research, CB 7590, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Division of General Medicine and Clinical Epidemiology, CB 7110, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
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Olmos-Ochoa TT, Ganz DA, Barnard JM, Penney L, Finley EP, Hamilton AB, Chawla N. Sustaining implementation facilitation: a model for facilitator resilience. Implement Sci Commun 2021; 2:65. [PMID: 34154670 PMCID: PMC8218441 DOI: 10.1186/s43058-021-00171-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 06/08/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Implementation facilitators enable healthcare staff to effectively implement change, yet little is known about their affective (e.g., emotional, mental, physical) experiences of facilitation. We propose an expansion to the Integrated Promoting Action on Research in Health Services (i-PARIHS) framework that introduces facilitation intensity and facilitator resilience to better assess facilitators' affective experiences. METHODS We used an instrumental case study and facilitator data (logged reflections and debrief session notes) from the Coordination Toolkit and Coaching initiative to conceptualize facilitation intensity and facilitator resilience and to better understand the psychological impact of the facilitation process on facilitator effectiveness and implementation success. RESULTS We define facilitation intensity as both the quantitative and/or qualitative measure of the volume of tasks and activities needed to engage and motivate recipients in implementation, and the psychological impact on the facilitator of conducting facilitation tasks and activities. We define facilitator resilience as the ability to cope with and adapt to the complexities of facilitation in order to effectively engage and motivate staff, while nurturing and sustaining hope, self-efficacy, and adaptive coping behaviors in oneself. CONCLUSIONS Facilitators' affective experience may help to identify potential relationships between the facilitation factors we propose (facilitation intensity and facilitator resilience). Future studies should test ways of reliably measuring facilitation intensity and facilitator resilience and specify their relationships in greater detail. By supporting facilitator resilience, healthcare delivery systems may help sustain the skilled facilitator workforce necessary for continued practice improvement. TRIAL REGISTRATION The project was registered with ClinicalTrials.gov ( NCT03063294 ) on February 24, 2017.
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Affiliation(s)
- Tanya T Olmos-Ochoa
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA.
| | - David A Ganz
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA.,David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Jenny M Barnard
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA
| | - Lauren Penney
- Veterans Evidence-based Research Dissemination and Implementation Center (VERDICT), South Texas Veterans Health Care System, San Antonio, TX, USA.,University of Texas Health at San Antonio, San Antonio, TX, USA
| | - Erin P Finley
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA.,Veterans Evidence-based Research Dissemination and Implementation Center (VERDICT), South Texas Veterans Health Care System, San Antonio, TX, USA.,University of Texas Health at San Antonio, San Antonio, TX, USA
| | - Alison B Hamilton
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Neetu Chawla
- HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System - Sepulveda, 16111 Plummer Street (152), North Hills, CA, 91343, USA
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Chinman M, Goldberg R, Daniels K, Muralidharan A, Smith J, McCarthy S, Medoff D, Peeples A, Kuykendall L, Vineyard N, Li L. Implementation of peer specialist services in VA primary care: a cluster randomized trial on the impact of external facilitation. Implement Sci 2021; 16:60. [PMID: 34099004 PMCID: PMC8183089 DOI: 10.1186/s13012-021-01130-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 05/19/2021] [Indexed: 11/10/2022] Open
Abstract
Background Over 1100 veterans work in the Veterans Health Administration (VHA) as peer specialists (PSs)—those with formal training who support other veterans with similar diagnoses. A White House Executive Action mandated the pilot reassignment of VHA PSs from their usual placement in mental health to 25 primary care Patient Aligned Care Teams (PACTs) in order to broaden the provision of wellness services that can address many chronic illnesses. An evaluation of this initiative was undertaken to assess the impact of outside assistance on the deployment of PSs in PACTs, as implementation support is often needed to prevent challenges commonly experienced when first deploying PSs in new settings. Methods This study was a cluster-randomized hybrid II effectiveness-implementation trial to test the impact of minimal implementation support vs. facilitated implementation on the deployment of VHA PSs in PACT over 2 years. Twenty-five Veterans Affairs Medical Centers (VAMCs) were recruited to reassign mental health PSs to provide wellness-oriented care in PACT. Sites in three successive cohorts (n = 7, 10, 8) over 6-month blocks were matched and randomized to each study condition. In facilitated implementation, an outside expert worked with site stakeholders through a site visit and regular calls, and provided performance data to guide the planning and address challenges. Minimal implementation sites received a webinar and access to the VHA Office of Mental Health Services work group. The two conditions were compared on PS workload data and veteran measures of activation, satisfaction, and functioning. Qualitative interviews collected information on perceived usefulness of the PS services. Results In the first year, sites that received facilitation had higher numbers of unique veterans served and a higher number of PS visits, although the groups did not differ after the second year. Also, sites receiving external facilitation started delivering PS services more quickly than minimal support sites. All sites in the external facilitation condition continued in the pilot into the second year, whereas two of the sites in the minimal assistance condition dropped out after the first year. There were no differences between groups on veterans’ outcomes—activation, satisfaction, and functioning. Most veterans were very positive about the help they received as evidenced in the qualitative interviews. Discussion These findings demonstrate that external facilitation can be effective in supporting the implementation of PSs in primary care settings. The lack of significant differences across conditions after the second year highlights the positive outcomes associated with active facilitation, while also raising the important question of whether longer-term success may require some level of ongoing facilitation and implementation support. Trial registration This project is registered at ClinicalTrials.gov with number NCT02732600 (URL: https://clinicaltrials.gov/ct2/show/NCT02732600).
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Affiliation(s)
- Matthew Chinman
- VISN 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA. .,Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA. .,RAND Corporation, Pittsburgh, PA, USA.
| | - Richard Goldberg
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Karin Daniels
- Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
| | - Anjana Muralidharan
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Jeffrey Smith
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA
| | - Sharon McCarthy
- VISN 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA.,Center for Health Equity Research and Promotion, VA Pittsburgh, Pittsburgh, PA, USA
| | - Deborah Medoff
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Amanda Peeples
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Lorrianne Kuykendall
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Natalie Vineyard
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA
| | - Lan Li
- VISN 5 Mental Illness Research, Education and Clinical Center (MIRECC), Baltimore, MD, USA.,Division of Psychiatric Services Research-Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
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Bolen SD, Love TE, Einstadter D, Lever J, Lewis S, Persaud H, Fiegl J, Liu R, Ali-Matlock W, Bar-Shain D, Caron A, Misak J, Wagner T, Kauffman E, Cook L, Hebert C, White S, Kobaivanova N, Cebul R. Improving Regional Blood Pressure Control: a Positive Deviance Tiered Intensity Approach. J Gen Intern Med 2021; 36:1591-1597. [PMID: 33501526 PMCID: PMC8175516 DOI: 10.1007/s11606-020-06480-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 12/15/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Accelerated translation of real-world interventions for hypertension management is critical to improving cardiovascular outcomes and reducing disparities. OBJECTIVE To determine whether a positive deviance approach would improve blood pressure (BP) control across diverse health systems. DESIGN Quality improvement study using 1-year cross sections of electronic health record data over 5 years (2013-2017). PARTICIPANTS Adults ≥ 18 with hypertension with two visits in 2 years with at least one primary care visit in the last year (N = 114,950 at baseline) to a primary care practice in Better Health Partnership, a regional health improvement collaborative. INTERVENTIONS Identification of a "positive deviant" and dissemination of this system's best practices for control of hypertension (i.e., accurate/repeat BP measurement; timely follow-up; outreach; standard treatment algorithm; and communication curriculum) using 3 different intensities (low: Learning Collaborative events describing the best practices; moderate: Learning Collaborative events plus consultation when requested; and high: Learning Collaborative events plus practice coaching). MAIN MEASURES We used a weighted linear model to estimate the pre- to post-intervention average change in BP control (< 140/90 mmHg) for 35 continuously participating clinics. KEY RESULTS BP control post-intervention improved by 7.6% [95% confidence interval (CI) 6.0-9.1], from 67% in 2013 to 74% in 2017. Subgroups with the greatest absolute improvement in BP control included Medicaid (12.0%, CI 10.5-13.5), Hispanic (10.5%, 95% CI 8.4-12.5), and African American (9.0%, 95% CI 7.7-10.4). Implementation intensity was associated with improvement in BP control (high: 14.9%, 95% CI 0.2-19.5; moderate: 5.2%, 95% CI 0.8-9.5; low: 0.2%, 95% CI-3.9 to 4.3). CONCLUSIONS Employing a positive deviance approach can accelerate translation of real-world best practices into care across diverse health systems in the context of a regional health improvement collaborative (RHIC). Using this approach within RHICs nationwide could translate to meaningful improvements in cardiovascular morbidity and mortality.
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Affiliation(s)
- Shari D Bolen
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
- Better Health Partnership, Cleveland, OH, USA.
- Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA.
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
| | - Thomas E Love
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Better Health Partnership, Cleveland, OH, USA
- Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Douglas Einstadter
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Better Health Partnership, Cleveland, OH, USA
- Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | | | - Steven Lewis
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
| | - Harry Persaud
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Jordan Fiegl
- Department of Data Science and Analytics, University Hospitals, Cleveland, OH, USA
| | | | | | - David Bar-Shain
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Better Health Partnership, Cleveland, OH, USA
- Department of Pediatrics, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
| | - Aleece Caron
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Department of Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
| | - James Misak
- Department of Family Medicine, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
| | | | | | | | | | - Suzanne White
- Northeast Ohio Neighborhood Health Services, Inc., Cleveland, OH, USA
| | | | - Randall Cebul
- Center for Health Care Research and Policy, Population Health Research Institute, Case Western Reserve University at The MetroHealth System, Cleveland, OH, USA
- Better Health Partnership, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
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McNeely J, Adam A, Rotrosen J, Wakeman SE, Wilens TE, Kannry J, Rosenthal RN, Wahle A, Pitts S, Farkas S, Rosa C, Peccoralo L, Waite E, Vega A, Kent J, Craven CK, Kaminski TA, Firmin E, Isenberg B, Harris M, Kushniruk A, Hamilton L. Comparison of Methods for Alcohol and Drug Screening in Primary Care Clinics. JAMA Netw Open 2021; 4:e2110721. [PMID: 34014326 PMCID: PMC8138691 DOI: 10.1001/jamanetworkopen.2021.10721] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
IMPORTANCE Guidelines recommend that adult patients receive screening for alcohol and drug use during primary care visits, but the adoption of screening in routine practice remains low. Clinics frequently struggle to choose a screening approach that is best suited to their resources, workflows, and patient populations. OBJECTIVE To evaluate how to best implement electronic health record (EHR)-integrated screening for substance use by comparing commonly used screening methods and examining their association with implementation outcomes. DESIGN, SETTING, AND PARTICIPANTS This article presents the outcomes of phases 3 and 4 of a 4-phase quality improvement, implementation feasibility study in which researchers worked with stakeholders at 6 primary care clinics in 2 large urban academic health care systems to define and implement their optimal screening approach. Site A was located in New York City and comprised 2 clinics, and site B was located in Boston, Massachusetts, and comprised 4 clinics. Clinics initiated screening between January 2017 and October 2018, and 93 114 patients were eligible for screening for alcohol and drug use. Data used in the analysis were collected between January 2017 and October 2019, and analysis was performed from July 13, 2018, to March 23, 2021. INTERVENTIONS Clinics integrated validated screening questions and a brief counseling script into the EHR, with implementation supported by the use of clinical champions (ie, clinicians who advocate for change, motivate others, and use their expertise to facilitate the adoption of an intervention) and the training of clinic staff. Clinics varied in their screening approaches, including the type of visit targeted for screening (any visit vs annual examinations only), the mode of administration (staff-administered vs self-administered by the patient), and the extent to which they used practice facilitation and EHR usability testing. MAIN OUTCOMES AND MEASURES Data from the EHRs were extracted quarterly for 12 months to measure implementation outcomes. The primary outcome was screening rate for alcohol and drug use. Secondary outcomes were the prevalence of unhealthy alcohol and drug use detected via screening, and clinician adoption of a brief counseling script. RESULTS Patients of the 6 clinics had a mean (SD) age ranging from 48.9 (17.3) years at clinic B2 to 59.1 (16.7) years at clinic B3, were predominantly female (52.4% at clinic A1 to 64.6% at clinic A2), and were English speaking. Racial diversity varied by location. Of the 93,114 patients with primary care visits, 71.8% received screening for alcohol use, and 70.5% received screening for drug use. Screening at any visit (implemented at site A) in comparison with screening at annual examinations only (implemented at site B) was associated with higher screening rates for alcohol use (90.3%-94.7% vs 24.2%-72.0%, respectively) and drug use (89.6%-93.9% vs 24.6%-69.8%). The 5 clinics that used a self-administered screening approach had a higher detection rate for moderate- to high-risk alcohol use (14.7%-36.6%) compared with the 1 clinic that used a staff-administered screening approach (1.6%). The detection of moderate- to high-risk drug use was low across all clinics (0.5%-1.0%). Clinics with more robust practice facilitation and EHR usability testing had somewhat greater adoption of the counseling script for patients with moderate-high risk alcohol or drug use (1.4%-12.5% vs 0.1%-1.1%). CONCLUSIONS AND RELEVANCE In this quality improvement study, EHR-integrated screening was feasible to implement in all clinics and unhealthy alcohol use was detected more frequently when self-administered screening was used at any primary care visit. The detection of drug use was low at all clinics, as was clinician adoption of counseling. These findings can be used to inform the decision-making of health care systems that are seeking to implement screening for substance use. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02963948.
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Affiliation(s)
- Jennifer McNeely
- Department of Population Health, New York University Grossman School of Medicine, New York
- Department of Medicine, Division of General Internal Medicine, New York University Grossman School of Medicine, New York
| | - Angéline Adam
- Department of Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
| | - John Rotrosen
- Department of Psychiatry, New York University Grossman School of Medicine, New York
| | - Sarah E. Wakeman
- Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston
| | | | - Joseph Kannry
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | - Sarah Farkas
- Department of Psychiatry, New York University Grossman School of Medicine, New York
| | - Carmen Rosa
- National Institute on Drug Abuse, Bethesda, Maryland
| | - Lauren Peccoralo
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Eva Waite
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Aida Vega
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jennifer Kent
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Catherine K. Craven
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Elizabeth Firmin
- Department of Psychiatry, Massachusetts General Hospital, Boston
| | | | - Melanie Harris
- Department of Population Health, New York University Grossman School of Medicine, New York
| | - Andre Kushniruk
- School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
| | - Leah Hamilton
- Department of Population Health, New York University Grossman School of Medicine, New York
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Ridgeway JL, Branda ME, Gravholt D, Brito JP, Hargraves IG, Hartasanchez SA, Leppin AL, Gomez YL, Mann DM, Nautiyal V, Thomas RJ, Behnken EM, Torres Roldan VD, Shah ND, Khurana CS, Montori VM. Increasing risk-concordant cardiovascular care in diverse health systems: a mixed methods pragmatic stepped wedge cluster randomized implementation trial of shared decision making (SDM4IP). Implement Sci Commun 2021; 2:43. [PMID: 33883035 PMCID: PMC8058970 DOI: 10.1186/s43058-021-00145-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/05/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The primary prevention of cardiovascular (CV) events is often less intense in persons at higher CV risk and vice versa. Clinical practice guidelines recommend that clinicians and patients use shared decision making (SDM) to arrive at an effective and feasible prevention plan that is congruent with each person's CV risk and informed preferences. However, SDM does not routinely happen in practice. This study aims to integrate into routine care an SDM decision tool (CV PREVENTION CHOICE) at three diverse healthcare systems in the USA and study strategies that foster its adoption and routine use. METHODS This is a mixed method, hybrid type III stepped wedge cluster randomized study to estimate (a) the effectiveness of implementation strategies on SDM uptake and utilization and (b) the extent to which SDM results in prevention plans that are risk-congruent. Formative evaluation methods, including clinician and stakeholder interviews and surveys, will identify factors likely to impact feasibility, acceptability, and adoption of CV PREVENTION CHOICE as well as normalization of CV PREVENTION CHOICE in routine care. Implementation facilitation will be used to tailor implementation strategies to local needs, and implementation strategies will be systematically adjusted and tracked for assessment and refinement. Electronic health record data will be used to assess implementation and effectiveness outcomes, including CV PREVENTION CHOICE reach, adoption, implementation, maintenance, and effectiveness (measured as risk-concordant care plans). A sample of video-recorded clinical encounters and patient surveys will be used to assess fidelity. The study employs three theoretical approaches: a determinant framework that calls attention to categories of factors that may foster or inhibit implementation outcomes (the Consolidated Framework for Implementation Research), an implementation theory that guides explanation or understanding of causal influences on implementation outcomes (Normalization Process Theory), and an evaluation framework (RE-AIM). DISCUSSION By the project's end, we expect to have (a) identified the most effective implementation strategies to embed SDM in routine practice and (b) estimated the effectiveness of SDM to achieve feasible and risk-concordant CV prevention in primary care. TRIAL REGISTRATION ClinicalTrials.gov, NCT04450914 . Posted June 30, 2020 TRIAL STATUS: This study received ethics approval on April 17, 2020. The current trial protocol is version 2 (approved February 17, 2021). The first subject had not yet been enrolled at the time of submission.
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Affiliation(s)
- Jennifer L Ridgeway
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Megan E Branda
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Campus, 13001 East 17th Place, 3rd Floor, Mail Stop B119, Aurora, CO, 80045, USA
| | - Derek Gravholt
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Juan P Brito
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Division of Diabetes, Endocrinology, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ian G Hargraves
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sandra A Hartasanchez
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Aaron L Leppin
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Yvonne L Gomez
- Altru Health System, 1380 S. Columbia Road, Grand Forks, ND, 58206, USA
| | - Devin M Mann
- Department of Population Health, NYU Grossman School of Medicine, 530 1st Avenue, New York, NY, 10016, USA
| | - Vivek Nautiyal
- Wellstar Cardiovascular Medicine, 55 Whitcher Street, NE, Suite 350, Marietta, GA, 30060, USA
| | - Randal J Thomas
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Emma M Behnken
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Victor D Torres Roldan
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Nilay D Shah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Charanjit S Khurana
- Virginia Hospital Center Physician Group-Cardiology, 1715 North George Mason Drive, Arlington, VA, 22205, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Division of Diabetes, Endocrinology, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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Ritchie MJ, Parker LE, Kirchner JE. From novice to expert: methods for transferring implementation facilitation skills to improve healthcare delivery. Implement Sci Commun 2021; 2:39. [PMID: 33832549 PMCID: PMC8033694 DOI: 10.1186/s43058-021-00138-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 03/22/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND There is substantial evidence that facilitation can address the challenges of implementing evidence-based innovations. However, facilitators need a wide variety of complex skills; lack of these can have a negative effect on implementation outcomes. Literature suggests that novice and less experienced facilitators need ongoing support from experts to develop these skills. Yet, no studies have investigated the transfer process. During a test of a facilitation strategy applied at 8 VA primary care clinics, we explored the techniques and processes an expert external facilitator utilized to transfer her skills to two initially novice internal facilitators who became experts. METHODS In this qualitative descriptive study, we conducted monthly debriefings with three facilitators over a 30-month period and documented these in detailed notes. Debriefings with the expert facilitator focused on how she trained and mentored facilitation trainees. We also conducted, recorded, and transcribed two semi-structured qualitative interviews with each facilitator and queried them about training content and process. We used a mix of inductive and deductive approaches to analyze data; our analysis was informed by a review of mentoring, coaching, and cognitive apprenticeship literature. We also used a case comparison approach to explore how the expert tailored her efforts. RESULTS The expert utilized 21 techniques to transfer implementation facilitation skills. Techniques included both active (providing information, modeling, and coaching) and participatory ones. She also used techniques to support learning, i.e., cognitive supports (making thinking visible, using heuristics, sharing experiences), psychosocial supports, strategies to promote self-learning, and structural supports. Additionally, she transferred responsibility for facilitation through a dynamic process of interaction with trainees and site stakeholders. Finally, the expert varied the level of focus on particular skills to tailor her efforts to trainee and local context. CONCLUSIONS This study viewed the journey from novice to expert facilitator through the lens of the expert who transferred facilitation skills to support implementation of an evidence-based program. It identified techniques and processes that may foster transfer of these skills and build organizational capacity for future implementation efforts. As the first study to document the implementation facilitation skills transfer process, findings have research and practical implications.
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Affiliation(s)
- Mona J. Ritchie
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Department of Veterans Affairs, 2200 Ft Roots Dr, Building 58, North Little Rock, AR 72114 USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W Markham St, #755, Little Rock, AR 72205 USA
| | - Louise E. Parker
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Department of Veterans Affairs, 2200 Ft Roots Dr, Building 58, North Little Rock, AR 72114 USA
- Department of Management, College of Management, University of Massachusetts, 100 Morrissey Blvd, Boston, MA 02125 USA
| | - JoAnn E. Kirchner
- VA Behavioral Health Quality Enhancement Research Initiative (QUERI), Department of Veterans Affairs, 2200 Ft Roots Dr, Building 58, North Little Rock, AR 72114 USA
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W Markham St, #755, Little Rock, AR 72205 USA
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Schuttner L, Coleman K, Ralston J, Parchman M. The role of organizational learning and resilience for change in building quality improvement capacity in primary care. Health Care Manage Rev 2021; 46:E1-E7. [PMID: 33630509 PMCID: PMC7541444 DOI: 10.1097/hmr.0000000000000281] [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] [Indexed: 11/26/2022]
Abstract
BACKGROUND The extent that organizational learning and resilience for the change process, that is, adaptive reserve (AR), is a component of building practice capacity for continuous quality improvement (QI) is unknown. PURPOSE The aim of the study was to examine the association of AR and development of QI capacity. METHODOLOGY One hundred forty-two primary care practices were evaluated at baseline and 12 months in a randomized trial to improve care quality. Practice AR was measured by staff survey along with a validated QI capacity assessment (QICA). We assessed the association of baseline QICA with baseline AR and both baseline and change in AR with change in QICA from 0 to 12 months. Effect modification by presence of QI infrastructure in parent organizations and trial arm was examined. RESULTS Mean QICA increased from 6.5 to 8.1 (p < .001), and mean AR increased from 71.8 to 73.9 points (p < .001). At baseline, there was a significant association between AR and QICA scores: The QICA averaged 0.34 points higher (95% CI [0.04, 0.64], p = .03) per 10-point difference in AR. There was a significant association between baseline AR and 12-month QICA-which averaged 0.30 points higher (95% CI [0.02, 0.57], p = .04) per 10 points in baseline AR. There was no association between changes in AR and the QICA from 0 to 12 months and no effect modification by trial arm or external QI infrastructure. CONCLUSIONS Baseline AR was positively associated with both baseline and follow-up QI capacity, but there was no association between change in AR and change in the QICA, suggesting AR may be a precondition to growth in QI capacity. PRACTICE IMPLICATIONS Findings suggest that developing AR may be a valuable step prior to undertaking QI-oriented growth, with implications for sequencing of development strategies, including added gain in QI capacity development from building AR prior to engaging in transformation efforts.
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Walunas TL, Ye J, Bannon J, Wang A, Kho AN, Smith JD, Soulakis N. Does coaching matter? Examining the impact of specific practice facilitation strategies on implementation of quality improvement interventions in the Healthy Hearts in the Heartland study. Implement Sci 2021; 16:33. [PMID: 33789696 PMCID: PMC8011080 DOI: 10.1186/s13012-021-01100-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 03/18/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Practice facilitation is a multicomponent implementation strategy used to improve the capacity for practices to address care quality and implementation gaps. We sought to assess whether practice facilitators use of coaching strategies aimed at improving self-sufficiency were associated with improved implementation of quality improvement (QI) interventions in the Healthy Hearts in the Heartland Study. METHODS We mapped 27 practice facilitation activities to a framework that classifies practice facilitation strategies by the degree to which the practice develops its own process expertise (Doing Tasks, Project Management, Consulting, Teaching, and Coaching) and then used regression tree analysis to group practices by facilitation strategies experienced. Kruskal-Wallis tests were used to assess whether practice groups identified by regression tree analysis were associated with successful implementation of QI interventions and practice and study context variables. RESULTS There was no association between number of strategies performed by practice facilitators and number of QI interventions implemented. Regression tree analysis identified 4 distinct practice groups based on the number of Project Management and Coaching strategies performed. The median number of interventions increased across the groups. Practices receiving > 4 project management and > 6 coaching activities implemented a median of 17 of 35 interventions. Groups did not differ significantly by practice size, association with a healthcare network, or practice type. Statistically significant differences in practice location, number and duration of facilitator visits, and early study termination emerged among the groups, compared to the overall practice population. CONCLUSIONS Practices that engage in more coaching-based strategies with practice facilitators are more likely to implement more QI interventions, and practice receptivity to these strategies was not dependent on basic practice demographics.
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Affiliation(s)
- Theresa L Walunas
- Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. .,Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 625 N. Michigan, 15th Floor, Chicago, IL, 60611, USA.
| | - Jiancheng Ye
- Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 625 N. Michigan, 15th Floor, Chicago, IL, 60611, USA
| | - Jennifer Bannon
- Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 625 N. Michigan, 15th Floor, Chicago, IL, 60611, USA
| | - Ann Wang
- Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 625 N. Michigan, 15th Floor, Chicago, IL, 60611, USA
| | - Abel N Kho
- Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 625 N. Michigan, 15th Floor, Chicago, IL, 60611, USA.,Department of Preventive Medicine, Division of Healthcare and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Justin D Smith
- Department of Population Health Science, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Nicholas Soulakis
- Department of Preventive Medicine, Division of Healthcare and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Douglas NF, MacPherson MK. Positive Changes in Certified Nursing Assistants' Communication Behaviors With People With Dementia: Feasibility of a Coaching Strategy. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2021; 30:239-252. [PMID: 33472008 DOI: 10.1044/2020_ajslp-20-00065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Purpose This study investigated whether a 6-week coaching strategy resulted in positive changes in self-perceived knowledge and efficacy (SPKE) and positive communication behaviors in certified nursing assistants (CNAs) working with people with dementia in a skilled nursing facility. It also assessed the impact of the coaching strategy on negative responsive behaviors of people with dementia, such as yelling out, hitting, or spitting. Method Seven CNAs and seven people with dementia completed this study. Pretesting and posttesting were conducted for CNAs' SPKE. A single-subject, multiple-baseline design across five communication behaviors, the positive communication approach checklist, was completed to assess CNA communication behaviors after completion of a coaching strategy. Pretesting and posttesting of responsive behaviors of people with dementia were completed with the Cohen-Mansfield Agitation Inventory. Results Six out of seven CNAs improved their SPKE from pre- to postcoaching; however, this difference was not statistically significant. Per the positive communication approach checklist, there was a statistically significant increase, from baseline to follow-up, in CNA positive communication behaviors when interacting with people with dementia. The frequency of overall responsive behaviors of people with dementia significantly decreased from pre- to postcoaching, per the Cohen-Mansfield Agitation Inventory. Conclusions There is preliminary evidence to support the feasibility of a coaching strategy for the implementation of positive communication behaviors by CNAs when communicating with people with dementia. Negative responsive behaviors of people with dementia also decreased. Speech-language pathologists should consider acting as coaches to support positive communication for people with dementia. Supplemental Material https://doi.org/10.23641/asha.13564811.
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Affiliation(s)
- Natalie F Douglas
- Department of Communication Sciences and Disorders, Central Michigan University, Mount Pleasant
| | - Megan K MacPherson
- Department of Communication Sciences and Disorders, Central Michigan University, Mount Pleasant
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Etchegary C, Taylor L, Mahoney K, Parfrey O, Hall A. Changing Health-Related Behaviours 5: On Interventions to Change Physician Behaviours. Methods Mol Biol 2021; 2249:613-630. [PMID: 33871867 DOI: 10.1007/978-1-0716-1138-8_33] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
In many countries, there is a large amount of public money spent on health care. Some patient tests and treatments are not only unnecessary but also may be harmful, leading health researchers to look for the most effective interventions to change physician behaviour. The purpose of this chapter is to describe some of the interventions used to modify physician behaviour and highlight their challenges observed in a Canadian provincial context. We begin with a brief description of the increasing interest in behaviour change interventions in recent years and their theoretical basis. We then describe several interventions used to change physician behaviour ranging from nudges to choice restriction and the available evidence on their effectiveness. We provide examples of interventions and their challenges as we've experienced them in our research program, Quality of Care NL. We conclude with a summary of what the evidence tells us about interventions to change physicians' behaviours.
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Affiliation(s)
- Cheryl Etchegary
- Quality of Care NL, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
| | - Lynn Taylor
- Quality of Care NL, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Krista Mahoney
- Quality of Care NL, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Owen Parfrey
- Quality of Care NL, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Amanda Hall
- Primary Healthcare Research Unit, Faculty of Medicine, Memorial University, St. John's, NL, Canada
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Nguyen AM, Cuthel AM, Rogers ES, Van Devanter N, Pham-Singer H, Shih S, Berry CA, Shelley DR. Attributes of High-Performing Small Practices in a Guideline Implementation: A Multiple-Case Study. J Prim Care Community Health 2020; 11:2150132720984411. [PMID: 33356790 PMCID: PMC7768565 DOI: 10.1177/2150132720984411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Objective HealthyHearts NYC was a stepped wedge randomized control trial that tested the effectiveness of practice facilitation on the adoption of cardiovascular disease guidelines in small primary care practices. The objective of this study was to identify was to identify attributes of small practices that signaled they would perform well in a practice facilitation intervention implementation. Methods A mixed methods multiple-case study design was used. Six small practices were selected representing 3 variations in meeting the practice-level benchmark of >70% of hypertensive patients having controlled blood pressure. Inductive and deductive approaches were used to identify themes and assign case ratings. Cross-case rating comparison was used to identify attributes of high performing practices. Results Our first key finding is that the high-performing and improved practices in our study looked and acted similarly during the intervention implementation. The second key finding is that 3 attributes emerged in our analysis of determinants of high performance in small practices: (1) advanced use of the EHR; (2) dedicated resources and commitment to quality improvement; and (3) actively engaged lead clinician and office manager. Conclusions These attributes may be important determinants of high performance, indicating not only a small practice’s capability to engage in an intervention but possibly also its readiness to change. We recommend developing tools to assess readiness to change, specifically for small primary care practices, which may help external agents, like practice facilitators, better translate intervention implementations to context.
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Affiliation(s)
| | | | | | | | - Hang Pham-Singer
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Sarah Shih
- New York City Department of Health and Mental Hygiene, New York, NY, USA
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Edelman EJ, Dziura J, Esserman D, Porter E, Becker WC, Chan PA, Cornman DH, Rebick G, Yager J, Morford K, Muvvala SB, Fiellin DA. Working with HIV clinics to adopt addiction treatment using implementation facilitation (WHAT-IF?): Rationale and design for a hybrid type 3 effectiveness-implementation study. Contemp Clin Trials 2020; 98:106156. [PMID: 32976995 PMCID: PMC7511156 DOI: 10.1016/j.cct.2020.106156] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 09/16/2020] [Accepted: 09/17/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Tobacco, alcohol and opioid misuse are associated with substantial morbidity and mortality among people with HIV (PWH). Despite existence of evidence-based counseling and medications for addiction, these treatments are infrequently offered in HIV clinics. The Working with HIV clinics to adopt Addiction Treatment using Implementation Facilitation (WHAT-IF?) study was conducted to address this implementation challenge. The study's goals were to conduct a formative evaluation of barriers to and facilitators of implementing addiction treatment for PWH followed by an evaluation of the impact of Implementation Facilitation (IF) on promoting adoption of addiction treatments and clinical outcomes. METHODS The study was conducted at four HIV clinics in the northeast United States, using a hybrid type 3 effectiveness-implementation stepped wedge design and guided by the Promoting Action on Research Implementation in Health Services Research (PARiHS) framework. A mixed-methods approach was used to identify evidence, context, and facilitation-related barriers to and facilitators of integration of addiction treatments into HIV clinics and to help tailor IF for each clinic. An evaluation was then conducted of the impact of IF on implementation outcomes, including provision of addiction treatment (primary outcome), organizational and clinician and staff readiness to adopt addiction treatment, and changes in organizational models of care used to deliver addiction treatment. The evaluation also included IF's impact on effectiveness outcomes, specifically HIV-related outcomes among patients eligible for addiction treatment. CONCLUSIONS Results will generate important information regarding the impact of IF as a reproducible strategy to promote addiction treatment in HIV clinics.
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Affiliation(s)
- E Jennifer Edelman
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, United States of America.
| | - James Dziura
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, CT, United States of America; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Denise Esserman
- Yale Center for Analytic Sciences, Yale School of Public Health, New Haven, CT, United States of America; Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States of America
| | - Elizabeth Porter
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - William C Becker
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America; VA Connecticut Healthcare System, West Haven, CT, United States of America
| | - Philip A Chan
- Department of Medicine, Brown University, Providence, RI, United States of America
| | - Deborah H Cornman
- Institute for Collaboration on Health, Intervention, and Policy (InCHIP), University of Connecticut, Storrs, CT, United States of America
| | - Gabriel Rebick
- New York University, New York, NY, United States of America
| | - Jessica Yager
- SUNY Downstate, Brooklyn, NY, United States of America
| | - Kenneth Morford
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Srinivas B Muvvala
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America
| | - David A Fiellin
- Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States of America; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, United States of America; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America
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Abramsohn E, DePumpo M, Boyd K, Brown T, Garrett MF, Kho A, Navalkha C, Paradise K, Lindau ST. Implementation of Community-Based Resource Referrals for Cardiovascular Disease Self-Management. Ann Fam Med 2020; 18:486-495. [PMID: 33168676 PMCID: PMC7708286 DOI: 10.1370/afm.2583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/13/2020] [Accepted: 03/09/2020] [Indexed: 12/30/2022] Open
Abstract
PURPOSE Describe primary care practices' implementation of CommunityRx-H3, a community resource referral intervention that utilized practice facilitators to support cardiovascular disease (CVD) prevention quality improvement. METHODS Qualitative focus groups were conducted with practice facilitators to elicit perceptions of practices' experiences with CommunityRx-H3, practice-level factors affecting, and practice facilitator strategies to promote implementation. Qualitative data were analyzed using directed content analysis. The Consolidated Framework for Implementation Research was applied deductively to organize and interpret findings. RESULTS Fourteen of all 19 practice facilitators participated. Practice facilitators perceived that staff attitudes about connecting patients to community resources for CVD were largely positive. Practices were already using a range of non-systematic strategies to refer to community resources. Practice-level factors that facilitated CommunityRx-H3 implementation included clinician "champions," engaged practice managers, and a practice culture that valued community resources. Implementation barriers included a practice's unwillingness to integrate the intervention into existing workflows, limited staff capacity to complete the resource inventory, and unavailability or cost of materials needed to print the resource referral list ("HealtheRx-H3"). Practice facilitator strategies to promote implementation included supporting ongoing customization of the HealtheRx-H3 and material support. Practice facilitators felt implementation would be improved by integration of CommunityRx-H3 with electronic medical record workflows and alternative methods for engaging practices in the implementation process. CONCLUSIONS Practice facilitators are increasingly being utilized by primary care practices to support quality improvement interventions and, as shown here, can also play an important role in implementation science. This study yields insights to improve implementation of community resource referral solutions to support primary care CVD prevention efforts.
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Affiliation(s)
| | | | - Kelly Boyd
- The University of Chicago, Chicago, Illinois
| | - Tiffany Brown
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Milton F Garrett
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Abel Kho
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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The utility of the implementation science framework "Integrated Promoting Action on Research Implementation in Health Services" (i-PARIHS) and the facilitator role for introducing patient-reported outcome measures (PROMs) in a medical oncology outpatient department. Qual Life Res 2020; 30:3063-3071. [PMID: 33089474 PMCID: PMC8528793 DOI: 10.1007/s11136-020-02669-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE We evaluated the utility of the implementation science framework "Integrated Promoting Action on Research Implementation in Health Services" (i-PARIHS) for introducing patient-reported outcome measures (PROMs) into a medical oncology outpatient department. The i-PARIHS framework identifies four core constructs for implementation, including Facilitation, Innovation, Context and Recipients. METHODS A pilot study used the i-PARIHS framework to identify PROM implementation barriers and enablers to inform facilitation support strategies, such as training clinicians and staff, workflow support, technical support and audit and feedback. Pre- and post-implementation surveys were completed by 83 and 72 staff, respectively, (nurses, doctors and allied health), to assess perceived knowledge, enablers, barriers and utility of PROMs; and acceptability of the PROM intervention was also assessed post-implementation. RESULTS Important barriers included time constraints and previous experiences with technology. Enablers included good leadership support and a culture of learning. Facilitation strategies were used to overcome barriers identified in the i-PARIHS core domains. Compared to before the intervention, staff surveys showed improvement in perceived usefulness, perceived understanding and interpretation skills for PROMs. Staff perceptions about lack of time to use PROMs during visits remained a major perceived barrier post-implementation. CONCLUSION The i-PARIHS framework was useful for guiding the implementation of PROMs in routine oncology care. The four core i-PARIHS constructs (Facilitation, Innovation, Context and Recipients) identified factors that directly impacted implementation, with Facilitation having a particularly important role to overcome these barriers. Oncology clinics and health systems considering implementing PROMs should consider having a dedicated Facilitator available during PROM implementation.
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Cykert S, Keyserling TC, Pignone M, DeWalt D, Weiner BJ, Trogdon JG, Wroth T, Halladay J, Mackey M, Fine J, In Kim J, Cene C. A controlled trial of dissemination and implementation of a cardiovascular risk reduction strategy in small primary care practices. Health Serv Res 2020; 55:944-953. [PMID: 33047340 DOI: 10.1111/1475-6773.13571] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To assess the effect of dissemination and implementation of an intervention consisting of practice facilitation and a risk-stratified, population management dashboard on cardiovascular risk reduction for patients at high risk in small, primary care practices. STUDY SETTING A total of 219 small primary care practices (≤10 clinicians per site) across North Carolina with primary data collection from electronic health records (EHRs) from the fourth quarter of 2015 through the second quarter of 2018. STUDY DESIGN We performed a stepped-wedge, stratified, cluster randomized trial of a one-year intervention consisting of practice facilitation utilizing quality improvement techniques coupled with a cardiovascular dashboard that included lists of risk-stratified adults, aged 40-79 years and their unmet treatment opportunities. The primary outcome was change in 10-Year ASCVD Risk score among all patients with a baseline score ≥10 percent from baseline to 3 months postintervention. DATA COLLECTION/ EXTRACTION METHODS Data extracts were securely transferred from practices on a nightly basis from their EHR to the research team registry. PRINCIPLE FINDINGS ASCVD risk scores were assessed on 437 556 patients and 146 826 had a calculated 10-year risk ≥10 percent. The mean baseline risk was 23.4 percent (SD ± 12.6 percent). Postintervention, the absolute risk reduction was 6.3 percent (95% CI 6.3, 6.4). Models considering calendar time and stepped-wedge controls revealed most of the improvement (4.0 of 6.3 percent) was attributable to the intervention and not secular trends. In multivariate analysis, male gender, age >65 years, low-income (<$40 000), and Black race (P < .001 for all variables) were each associated with greater risk reductions. CONCLUSION A risk-stratified, population management dashboard combined with practice facilitation led to substantial reductions of 10-year ASCVD risk for patients at high risk. Similar approaches could lead to effective dissemination and implementation of other new evidence, especially in rural and other under-resourced practices. Registration: ClinicalTrials.Gov 15-0479.
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Affiliation(s)
- Samuel Cykert
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Thomas C Keyserling
- Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.,Center for Health Promotion and Disease Prevention, The Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Michael Pignone
- Department of Internal Medicine, The Dell Medical School, University of Texas, Austin, Texas, USA
| | - Darren DeWalt
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Bryan J Weiner
- Department of Global Public Health, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Justin G Trogdon
- Department of Health Policy and Management, The Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Thomas Wroth
- Community Care of North Carolina, Raleigh, North Carolina, USA
| | - Jacqueline Halladay
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Family Medicine, The University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Monique Mackey
- The North Carolina Area Health Education Centers Program, Chapel Hill, North Carolina, USA
| | - Jason Fine
- Department of Biostatistics, The Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jung In Kim
- Department of Statistics, Eberly College of Science, The Pennsylvania State University, University Park, Pennsylvania, USA.,Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Crystal Cene
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
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Pham-Singer H, Onakomaiya M, Cuthel A, De Leon S, Shih S, Chow S, Shelley D. Using a Customer Relationship Management System to Manage a Quality Improvement Intervention. Am J Med Qual 2020; 36:247-254. [PMID: 32924529 DOI: 10.1177/1062860620953214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
HealthyHearts New York City (HHNYC), one of 7 cooperatives funded through the Agency for Healthcare Research and Quality's EvidenceNOW initiative, evaluated the impact of practice facilitation on implementation of the Million Hearts guidelines for cardiovascular disease prevention and treatment. Tracking the intervention required a system to facilitate process data collection that was also user-friendly and flexible. Coupled with protocols and training, a strategically planned and customizable customer relationship management system (CRMS) was implemented to support the quality improvement intervention with 257 small independent practices. Features of the CRMS and implementation protocols were customized to optimize program management, practice facilitation tracking and supervision, and data collection for performance feedback to practices and research. The CRMS was a valuable tool for tracking and managing the intervention systematically. Successful implementation of the HHNYC protocol also required an articulated implementation plan and adoption process.
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Affiliation(s)
- Hang Pham-Singer
- New York City Department of Health and Mental Hygiene, Queens, NY New York University School of Medicine, New York, NY
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Dickinson WP, Nease DE, Rhyne RL, Knierim KE, Fernald DH, de la Cerda DR, Dickinson LM. Practice Transformation Support and Patient Engagement to Improve Cardiovascular Care: From EvidenceNOW Southwest (ENSW). J Am Board Fam Med 2020; 33:675-686. [PMID: 32989062 PMCID: PMC7789932 DOI: 10.3122/jabfm.2020.05.190395] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 01/06/2020] [Accepted: 01/23/2020] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To improve cardiovascular care through supporting primary care practices' adoption of evidence-based guidelines. STUDY DESIGN A cluster randomized trial compared two approaches: (1) standard practice support (practice facilitation, practice assessment with feedback, health information technology assistance, and collaborative learning sessions) and (2) standard support plus patient engagement support. METHODS Primary outcomes were cardiovascular clinical quality measures (CQMs) collected at baseline, 9 months, and 15 months. Implementation of the first 6 "Building Blocks of High-Performing Primary Care" was assessed by practice facilitators at baseline and 3, 6, and 9 months. CQMs from practices not involved in the study served as an external comparison. RESULTS A total of 211 practices completed baseline surveys. There were no differences by study arm (odds ratio [95% confidence interval]) for aspirin use (1.03 [0.99, 1.06]), blood pressure (0.98 [0.95, 1.01]), cholesterol (0.96 [0.92, 1.00]), and smoking (1.01 [0.96, 1.07]); however, there were significant improvements over time in aspirin use (1.04 [1.01, 1.07]), cholesterol (1.05 [1.03, 1.08]), and smoking (1.03 [1.01, 1.06]), but not blood pressure (1.01 [0.998, 1.03]). Improvement in enrolled practices was greater than external comparison practices across all 4 measures (all P < .05). Implementation improved in both arms for Team-Based Care, Patient-Team Partnership, and Population Management, and improvement was greater in enhanced intervention practices (all P < .05). Leadership and Data-Driven Improvement (P < .05) improved significantly, with no difference by arm. A greater improvement in Building Block implementation was associated with a greater improvement in blood pressure measures (P < .05). CONCLUSIONS Practice transformation support can assist practices with improving quality of care. Patient engagement in practice transformation can further enhance practices' implementation of aspects of new models of care.
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Affiliation(s)
- W Perry Dickinson
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR).
| | - Donald E Nease
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
| | - Robert L Rhyne
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
| | - Kyle E Knierim
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
| | - Douglas H Fernald
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
| | - Dionisia R de la Cerda
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
| | - L Miriam Dickinson
- From the Department of Family Medicine, University of Colorado School of Medicine, Aurora (WPD, DEN, KEK, DHF, DRdlC, LMD); Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque (RLR)
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