{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Damschroder LJ"],"funding":["Office of Research and Development","Health Services Research and Development","VA","Quality Enhancement Research Initiative (QUERI)","U.S. Department of Veterans Affairs","Quality Enhancement Research Initiative","Veterans Health Administration"],"pagination":["e14344"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11540586"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["59 Suppl 2"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Data sources and study setting</h4>Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.<h4>Study design</h4>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.<h4>Data collection/extraction methods</h4>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.<h4>Principal findings</h4>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.<h4>Conclusion</h4>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."],"journal":["Health services research"],"pubmed_title":["Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system."],"pmcid":["PMC11540586"],"funding_grant_id":["QUE 15‐286","QUE 15-286"],"pubmed_authors":["Freitag MB","Lowery JC","Burns JA","Evans R","Kim HM","Sussman J","Damschroder LJ","Yankey NR","Robinson CH"],"additional_accession":[]},"is_claimable":false,"name":"Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system.","description":"<h4>Objective</h4>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.<h4>Data sources and study setting</h4>Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.<h4>Study design</h4>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.<h4>Data collection/extraction methods</h4>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.<h4>Principal findings</h4>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.<h4>Conclusion</h4>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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2026-06-01T20:39:08.268Z","creation":"2025-04-04T11:42:26.781Z"},"accession":"S-EPMC11540586","cross_references":{"pubmed":["39054798"],"doi":["10.1111/1475-6773.14344"]}}