探索参与式行动研究对参与式数据管理社区项目的好处:关于数据和福祉的Round 'Ere案例研究
Emily S Rempel1, Gianfranco Polizzi2, Simeon Yates2
1Institute of Population Health, University of Liverpool, Liverpool, United Kingdom.
Frontiers in digital health
|May 1, 2025
概括
参与式行动研究 (PAR) 可以通过开发本地数据管理计划来赋予社区权力. 这种方法建立了研究人员的信心,机构和社区的声音,解决了数据化研究的差距.
科学领域:
- 社区健康 社区健康
- 数据科学数据科学数据科学
- 社会科学 社会科学 社会科学
背景情况:
- 传统的健康数据缺乏当地发展的社区背景.
- 参与式行动研究 (PAR) 为社区主导的数据倡议提供了一种新的方法.
研究的目的:
- 探索 PAR 方法论的适应性,用于社区级参与式数据管理 (PDS) 计划.
- 在PDS/PAR项目中调查社区研究人员 (CR) 的经验和观点.
主要方法:
- 采用参与式行动研究 (PAR) 方法.
- 在多个项目阶段与15名不同的社区研究人员 (CR) 进行了半结构化采访.
- 利用专题分析来解释CR的期望和经验.
主要成果:
- CR的动机,信心和行动力是项目影响力和成功的关键.
- 社区建设和对多样性的欣赏是至关重要的.
- 每个阶段的参与过程都促进了CR的代理.
结论:
- 对PDS设计的PAR方法可以使数据化成为问题,并赋予当地社区权力.
- 这种方法提高了社区研究技能,信心和代理权.
- 需要进一步研究PDS项目中成功 PAR 的条件.
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