[优化学习社区的深入方法:开发和应用经验]
Maud J J Ter Bogt1,2, Kirsten E Bevelander1,2, Gerard R M Molleman1,2
1Afdeling Eerstelijnsgeneeskunde, Radboudumc, Nijmegen, Nederland.
TSG : tijdschrift voor gezondheidswetenschappen
|September 15, 2025
概括
多学科学习社区 (LC) 可以通过使用系统映射和问卷优化辅导员. 这种方法提供了有价值的反,以加强在LCs内部的协作学习和行动.
科学领域:
- 公共卫生 公共卫生
- 社区参与 社区参与
- 组织学习 组织学习
背景情况:
- 市政当局和卫生组织越来越多地采用多学科学习社区 (LC).
- 这些LC旨在促进协作学习,知识共享和集体行动.
- 目前,促进者在监测和优化LC活动方面的经验有限.
研究的目的:
- 探索优化多学科学习社区 (LC) 的方法.
- 为促进者和LC成员提供指导,以提高LC的有效性.
- 通过深入监测和反技术分享实践经验.
主要方法:
- 从定性采访中获得的系统地图的应用.
- 使用专门的学习社区 (LC) 问卷.
- 通过这些方法收集的信息进行深入分析.
主要成果:
- 从系统图和问卷中获得的信息的详细描述.
- 评估每种应用方法的优缺点.
- 展示收集的信息是如何用于LC优化.
结论:
- 辅导员和LC成员可以协作优化LC.
- 系统映射和问卷是收集反的有效工具.
- 获得的见解可以告知和改善LC的功能.
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