使用基于社区的参与式研究方法,在加拿大城市环境中为公平的综合健康数据系统奠定基础
Dianne Fierheller1, Casey Chu2, Chelsea D'Silva2
1The Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada. dianne.fierheller@thp.ca.
在皮尔 (Peel) 的社区研究发现,在收集健康数据的社会决定因素方面存在关键差距. 建议旨在改善对种族歧视和配当社区的数据收集和治理.
科学领域:
- 公共卫生 公共卫生
- 健康 公平 卫生 公平
- 基于社区的研究.
背景情况:
- COVID-19 流行病加剧了加拿大的种族和公平应得社区的健康不平等.
- 皮尔市的有限数据显示,这些社区经历了延迟的护理和过早的死亡.
- 社区倡导敦促卫生领导人解决数据缺口,阻碍健康倡议的社会决定因素.
研究的目的:
- 开发一个社区驱动的数据收集生态系统,用于皮尔健康的社会决定因素.
- 了解在初级保健环境中的社会人口统计数据收集实践和经验.
- 为尊重,安全和管理良好的社会人口统计数据收集提供信息.
主要方法:
- 采用基于社区的参与式研究方法.
- 建立了一个社区参与委员会,并共同定义问题.
- 绘制现有数据收集的地图,确定障碍/促进者,并收集社区的观点.
主要成果:
- 识别服务提供商在初级保健中使用和收集社会人口统计数据.
- 发现了社会人口统计数据收集和使用的促进者和障碍.
- 了解社区成员对尊重和安全数据收集的看法.
结论:
- 为社会人口统计数据收集制定了八项建议.
- 强调社区伙伴关系在建立数据治理方面的重要性.
- 这项基础工作将指导未来的研究与多元化和公平应得的社区.
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