Ter Bogt Maud J J, Bevelander Kirsten E, Kramer Esther A H, van der Wal Merel M, Molleman Gerard R M, van den Muijsenbergh Maria, Fransen Gerdine A J
Primary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.
AMPHI Academic Collaborative Centre, Nijmegen, The Netherlands.
Arch Public Health. 2024 Dec 20;82(1):238. doi: 10.1186/s13690-024-01468-1.
Learning communities (LCs) are increasingly used among multidisciplinary public health challenges, such as local healthy weight approaches. LCs aim to stimulate learning, collaboration and actions. Previous research has provided insights into the underlying elements of multidisciplinary LCs, but little is known about the perceived causalities of these elements. Therefore, limited is known about what can be done to leverage LCs. This study aims to gain insights into the perceived dynamics of multidisciplinary LCs during the starting phase, including variables, and interconnectedness between variables.
To elucidate LC dynamics, all members of two separate LCs participated in a qualitative interview about experiences, perceived learning, and actions during the first six months. Interviews were analyzed thematically. Subsequently, a qualitative causal loop diagram was designed.
The qualitative causal loop diagram showed three intertwined themes. The first theme explains why group dynamics are essential, and how jointly arranging the LC may optimize group dynamics. The second theme explains how insights are obtained through multidisciplinary knowledge exchange. The third theme explains how actions are executed when conditions are met. These LC group dynamics, learning and action influenced one another.
To optimize LCs, it is highly recommended that stakeholders arrange them jointly, involve the appropriate partners, match with LC members' needs, and motivate members to execute action. LC facilitators are recommended to use the causal loop diagram to identify their bottlenecks and how to intervene in those to optimize the LC.
学习社区(LCs)越来越多地应用于多学科公共卫生挑战中,如地方健康体重管理方法。学习社区旨在促进学习、协作和行动。以往的研究对多学科学习社区的潜在要素提供了见解,但对这些要素之间的因果关系了解甚少。因此,对于如何利用学习社区所知有限。本研究旨在深入了解多学科学习社区启动阶段的动态情况,包括变量以及变量之间的相互联系。
为阐明学习社区的动态,两个独立学习社区的所有成员参与了关于前六个月经历、感知到的学习和行动的定性访谈。对访谈进行了主题分析。随后,设计了一个定性因果循环图。
定性因果循环图显示了三个相互交织的主题。第一个主题解释了为什么群体动态至关重要,以及共同安排学习社区如何优化群体动态。第二个主题解释了如何通过多学科知识交流获得见解。第三个主题解释了在条件满足时如何执行行动。这些学习社区的群体动态、学习和行动相互影响。
为优化学习社区,强烈建议利益相关者共同安排,纳入合适的合作伙伴,满足学习社区成员的需求,并激励成员执行行动。建议学习社区促进者使用因果循环图来识别瓶颈以及如何进行干预以优化学习社区。