Evidence map›Paper›PMID 39707516›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Mapping the dynamics of learning communities about Dutch healthy weight approaches: a causal loop diagram.

Maud J J Ter Bogt, Kirsten E Bevelander, Esther A H Kramer, Merel M van der Wal, Gerard R M Molleman, Maria van den Muijsenbergh, Gerdine A J Fransen

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maud J J Ter BogtPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands. maud.terbogt@radboudumc.nl.
Kirsten E BevelanderPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.
Esther A H KramerPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.
Merel M van der WalInstitute for Management Research, Radboud University, Nijmegen, The Netherlands.
Gerard R M MollemanPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.
Maria van den MuijsenberghPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.
Gerdine A J FransenPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLearning 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.

methodsTo 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.

resultsThe 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.

conclusionsTo 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.

Indexed as

Causal loop diagramCollaborationCommunity approachCommunity of practiceHealthy weightLearning community

Identifiers

PMID39707516
PMCPMC11660615

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.