Laura J. Damschroder MPH, MSc, Richard Evans MS, H. Myra Kim ScD, Jeremy Sussman MD, Michelle B. Freitag MPH, Claire H. Robinson MPH, Jennifer A. Burns MHSA, Nicholas R. Yankey MPH, MSW, Julie C. Lowery PhD
{"title":"虚拟质量改进培训项目对提高大型医疗系统体重管理项目覆盖率的效果。","authors":"Laura J. Damschroder MPH, MSc, Richard Evans MS, H. Myra Kim ScD, Jeremy Sussman MD, Michelle B. Freitag MPH, Claire H. Robinson MPH, Jennifer A. Burns MHSA, Nicholas R. Yankey MPH, MSW, Julie C. Lowery PhD","doi":"10.1111/1475-6773.14344","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To test effectiveness of the LEAP (Learn Engage Act Process) Program on engaging frontline Veteran Health Administration (VHA) medical center teams in continuous quality improvement (QI), a core capability for learning health systems.</p>\n </section>\n \n <section>\n \n <h3> Data Sources and Study Setting</h3>\n \n <p>Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.</p>\n </section>\n \n <section>\n \n <h3> Study Design</h3>\n \n <p>A staggered difference-in-differences study was conducted. Fifty-five facilities participated in LEAP across eight randomly assigned clusters of 6–8 facilities per cluster over 2 years. Non-participating facilities were used as controls. A MOVE! weight management program team completed a Plan-Do-Study-Act cycle of change supported by learning curriculum, coaching, and virtual collaboratives in LEAP facilities. Primary outcome was program reach to Veterans. A mixed-effects model compared pre- versus post-LEAP periods for LEAP versus control facilities. LEAP adherence, satisfaction, and cost to deliver LEAP were evaluated.</p>\n </section>\n \n <section>\n \n <h3> Data Collection/Extraction Methods</h3>\n \n <p>Thirty months of facility-level EHR MOVE! enrollment data were included in analyses. LEAP Satisfaction and QI skills were elicited via surveys at baseline and 6-month post-LEAP.</p>\n </section>\n \n <section>\n \n <h3> Principal findings</h3>\n \n <p>Fifty-five facilities were randomly assigned to eight time-period-based clusters to receive LEAP (71% completed LEAP) and 82 non-participating facilities were randomly assigned as controls. Reach in LEAP and control facilities was comparable in the 12-month pre-LEAP period (<i>p</i> = 0.07). Though LEAP facilities experienced slower decline in reach in the 12-month post-LEAP period compared with controls (<i>p</i> < 0.001), this is likely due to unexplained fluctuations in controls. For LEAP facilities, satisfaction was high (all mean ratings >4 on a 5-point scale), self-reported use of QI methods increased significantly (<i>p</i>-values <0.05) 6 months post-LEAP, and delivery cost was $4024 per facility-based team.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Control facilities experienced declining reach in the 12-month post-LEAP period, but LEAP facilities did not, plus they reported higher engagement in QI, an essential capability for learning health systems.</p>\n </section>\n </div>","PeriodicalId":55065,"journal":{"name":"Health Services Research","volume":"59 S2","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540586/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system\",\"authors\":\"Laura J. 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Fifty-five facilities participated in LEAP across eight randomly assigned clusters of 6–8 facilities per cluster over 2 years. Non-participating facilities were used as controls. A MOVE! weight management program team completed a Plan-Do-Study-Act cycle of change supported by learning curriculum, coaching, and virtual collaboratives in LEAP facilities. Primary outcome was program reach to Veterans. A mixed-effects model compared pre- versus post-LEAP periods for LEAP versus control facilities. LEAP adherence, satisfaction, and cost to deliver LEAP were evaluated.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Data Collection/Extraction Methods</h3>\\n \\n <p>Thirty months of facility-level EHR MOVE! enrollment data were included in analyses. LEAP Satisfaction and QI skills were elicited via surveys at baseline and 6-month post-LEAP.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Principal findings</h3>\\n \\n <p>Fifty-five facilities were randomly assigned to eight time-period-based clusters to receive LEAP (71% completed LEAP) and 82 non-participating facilities were randomly assigned as controls. Reach in LEAP and control facilities was comparable in the 12-month pre-LEAP period (<i>p</i> = 0.07). Though LEAP facilities experienced slower decline in reach in the 12-month post-LEAP period compared with controls (<i>p</i> < 0.001), this is likely due to unexplained fluctuations in controls. 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Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system
Objective
To test effectiveness of the LEAP (Learn Engage Act Process) Program on engaging frontline Veteran Health Administration (VHA) medical center teams in continuous quality improvement (QI), a core capability for learning health systems.
Data Sources and Study Setting
Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.
Study Design
A staggered difference-in-differences study was conducted. Fifty-five facilities participated in LEAP across eight randomly assigned clusters of 6–8 facilities per cluster over 2 years. Non-participating facilities were used as controls. A MOVE! weight management program team completed a Plan-Do-Study-Act cycle of change supported by learning curriculum, coaching, and virtual collaboratives in LEAP facilities. Primary outcome was program reach to Veterans. A mixed-effects model compared pre- versus post-LEAP periods for LEAP versus control facilities. LEAP adherence, satisfaction, and cost to deliver LEAP were evaluated.
Data Collection/Extraction Methods
Thirty months of facility-level EHR MOVE! enrollment data were included in analyses. LEAP Satisfaction and QI skills were elicited via surveys at baseline and 6-month post-LEAP.
Principal findings
Fifty-five facilities were randomly assigned to eight time-period-based clusters to receive LEAP (71% completed LEAP) and 82 non-participating facilities were randomly assigned as controls. Reach in LEAP and control facilities was comparable in the 12-month pre-LEAP period (p = 0.07). Though LEAP facilities experienced slower decline in reach in the 12-month post-LEAP period compared with controls (p < 0.001), this is likely due to unexplained fluctuations in controls. For LEAP facilities, satisfaction was high (all mean ratings >4 on a 5-point scale), self-reported use of QI methods increased significantly (p-values <0.05) 6 months post-LEAP, and delivery cost was $4024 per facility-based team.
Conclusion
Control facilities experienced declining reach in the 12-month post-LEAP period, but LEAP facilities did not, plus they reported higher engagement in QI, an essential capability for learning health systems.
期刊介绍:
Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.