<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Damschroder LJ</submitter><funding>Office of Research and Development</funding><funding>Health Services Research and Development</funding><funding>VA</funding><funding>Quality Enhancement Research Initiative (QUERI)</funding><funding>U.S. Department of Veterans Affairs</funding><funding>Quality Enhancement Research Initiative</funding><funding>Veterans Health Administration</funding><pagination>e14344</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11540586</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>59 Suppl 2</volume><pubmed_abstract>&lt;h4>Objective&lt;/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.&lt;h4>Data sources and study setting&lt;/h4>Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.&lt;h4>Study design&lt;/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.&lt;h4>Data collection/extraction methods&lt;/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.&lt;h4>Principal findings&lt;/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 &lt; 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 &lt;0.05) 6 months post-LEAP, and delivery cost was $4024 per facility-based team.&lt;h4>Conclusion&lt;/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.</pubmed_abstract><journal>Health services research</journal><pubmed_title>Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system.</pubmed_title><pmcid>PMC11540586</pmcid><funding_grant_id>QUE 15‐286</funding_grant_id><funding_grant_id>QUE 15-286</funding_grant_id><pubmed_authors>Freitag MB</pubmed_authors><pubmed_authors>Lowery JC</pubmed_authors><pubmed_authors>Burns JA</pubmed_authors><pubmed_authors>Evans R</pubmed_authors><pubmed_authors>Kim HM</pubmed_authors><pubmed_authors>Sussman J</pubmed_authors><pubmed_authors>Damschroder LJ</pubmed_authors><pubmed_authors>Yankey NR</pubmed_authors><pubmed_authors>Robinson CH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system.</name><description>&lt;h4>Objective&lt;/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.&lt;h4>Data sources and study setting&lt;/h4>Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes.&lt;h4>Study design&lt;/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.&lt;h4>Data collection/extraction methods&lt;/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.&lt;h4>Principal findings&lt;/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 &lt; 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 &lt;0.05) 6 months post-LEAP, and delivery cost was $4024 per facility-based team.&lt;h4>Conclusion&lt;/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.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2026-06-01T20:39:08.268Z</modification><creation>2025-04-04T11:42:26.781Z</creation></dates><accession>S-EPMC11540586</accession><cross_references><pubmed>39054798</pubmed><doi>10.1111/1475-6773.14344</doi></cross_references></HashMap>