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虚拟质量改进培训计划对提高大型卫生系统内体重管理计划覆盖范围的效果。

Effectiveness of a virtual quality improvement training program to improve reach of weight management programs within a large health system.

机构信息

VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.

Consulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

Health Serv Res. 2024 Dec;59 Suppl 2(Suppl 2):e14344. doi: 10.1111/1475-6773.14344. Epub 2024 Jul 25.

Abstract

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.

摘要

目的

测试 LEAP(学习-参与-行动-过程)计划在使退伍军人健康管理局(VHA)医疗中心团队参与持续质量改进(QI)方面的有效性,这是学习型卫生系统的核心能力。

资料来源和研究场所

资料来源包括 VHA 电子健康记录(EHR)数据、调查和 LEAP 教练现场记录。

研究设计

采用交错差分差异研究。55 个设施在 2 年内分 8 个随机分配的 6-8 个设施集群参与 LEAP。未参与的设施作为对照组。一个 MOVE!体重管理计划团队在 LEAP 设施中完成了一个支持学习课程、辅导和虚拟协作的计划-执行-研究-行动(Plan-Do-Study-Act)变革周期。主要结果是向退伍军人提供计划。采用混合效应模型比较 LEAP 设施与对照组在 LEAP 前后期间的变化。评估了 LEAP 的依从性、满意度和提供 LEAP 的成本。

资料收集/提取方法:对 30 个月的设施级 EHR MOVE!登记数据进行了分析。在基线和 LEAP 后 6 个月通过调查收集 LEAP 满意度和 QI 技能数据。

主要发现

55 个设施被随机分配到 8 个基于时间的集群以接受 LEAP(71%完成了 LEAP),82 个未参与的设施被随机分配为对照组。在 LEAP 前 12 个月的 12 个月期间,LEAP 和对照组的覆盖范围相当(p=0.07)。尽管与对照组相比,LEAP 设施在 LEAP 后 12 个月期间的覆盖范围下降速度较慢(p<0.001),但这可能是由于对照组的未解释波动所致。对于 LEAP 设施,满意度很高(所有 5 分制的平均评分均>4),报告的 QI 方法使用显著增加(p 值<0.05),LEAP 后 6 个月,每个基于设施的团队的交付成本为 4024 美元。

结论

对照组在 LEAP 后 12 个月期间的覆盖范围下降,但 LEAP 设施没有,此外,他们报告了更高的参与 QI 的意愿,这是学习型卫生系统的基本能力。

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