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利用计算机介导的参与式系统建模在社区参与性行动研究中综合社区知识的工具和分析技术。

Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling.

作者信息

Hayward Joshua, Morton Saraya, Johnstone Michael, Creighton Doug, Allender Steven

机构信息

1Global Obesity Centre, Institute for Health Transformation, Deakin University, Geelong, 3220 Australia.

2Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia.

出版信息

NPJ Digit Med. 2020 Feb 19;3:22. doi: 10.1038/s41746-020-0230-x. eCollection 2020.

Abstract

Participatory systems thinking methods are often used in community-based participatory research to engage and respond to complexity. Participation in systems thinking activities creates opportunities for participants to gain useful insights about complexity. It is desirable to design activities that extend the benefits of this participation into communities, as these insights are predictive of success in community-based prevention. This study tests an online, computer-mediated participatory system modelling platform (STICKE) and associated methods for collating and analysing its outputs. STICKE was trialled among a group of community members to test a computer-mediated system modelling exercise. The causal diagrams resulting from the exercise were then merged, and network analysis and DEMATEL methods applied to inform the generation of a smaller summary model to communicate insights from the participant group as a whole. Participants successfully completed the online modelling activity, and created causal diagrams consistent with expectations. The DEMATEL analysis was identified as the participant-preferred method for converging individuals causal diagrams into a coherent and useful summary. STICKE is an accessible tool that enabled participants to create causal diagrams online. Methods trialled in this study provide a protocol for combining and summarising individual causal diagrams that was perceived to be useful by the participant group. STICKE supports communities to consider and respond to complex problems at a local level, which is cornerstone of sustainable effective prevention. Understanding how communities perceive their own health challenges will be important to better support and inform locally owned prevention efforts.

摘要

参与式系统思维方法常用于基于社区的参与式研究,以应对复杂性问题并让各方参与进来。参与系统思维活动为参与者提供了机会,使其能够获得有关复杂性的有益见解。设计将这种参与的益处扩展到社区的活动是很有必要的,因为这些见解预示着基于社区的预防工作能否取得成功。本研究测试了一个在线的、通过计算机介导的参与式系统建模平台(STICKE)以及用于整理和分析其输出结果的相关方法。在一组社区成员中对STICKE进行了试验,以测试一项通过计算机介导的系统建模练习。然后将该练习产生的因果图合并,并应用网络分析和决策试验与评价实验室(DEMATEL)方法,以生成一个更小的总结模型,从而传达整个参与群体的见解。参与者成功完成了在线建模活动,并创建了符合预期的因果图。DEMATEL分析被确定为参与者首选的将个人因果图整合为一个连贯且有用的总结的方法。STICKE是一个易于使用的工具,使参与者能够在线创建因果图。本研究中试验的方法提供了一个将个人因果图进行合并和总结的方案,参与群体认为该方案很有用。STICKE支持社区在地方层面考虑并应对复杂问题,这是可持续有效预防工作的基石。了解社区如何看待自身的健康挑战对于更好地支持和指导地方自主开展的预防工作至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4b6/7031223/5ce315e86e41/41746_2020_230_Fig1_HTML.jpg

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