一个多层次的框架,促进学习卫生系统的数字健康公平:使实践和理论与五重目标保持一致
Pavani Rangachari1, Khadija Al Arkoubi2, Rajaa Shindi3
1Department of Population Health and Leadership, School of Health Sciences, University of New Haven, 300 Boston Post Road, West Haven, CT, 06516, USA. prangachari@newhaven.edu.
International journal for equity in health
|October 7, 2025
概括
数字健康公平需要通过综合战略解决健康的社会决定因素 (SDOH). 一个新的框架指导卫生系统利用SDOH数据和多层次干预措施,以促进学习卫生系统中的公平.
科学领域:
- 数字健康数字健康
- 健康 公平 卫生 公平
- 卫生系统科学 卫生系统科学
背景情况:
- 数字健康公平对于五重目标至关重要,但由于健康的社会决定因素 (SDOH),它面临着持续的访问差异.
- 当前的卫生系统响应往往优先考虑下游干预,而不是未充分利用的上游战略.
- 缺乏系统的电子健康记录 (EHR) 整合SDOH数据,阻碍了差异识别和干预量身定制.
研究的目的:
- 在学习健康系统 (LHS) 中推进数字健康公平的理论基础,多层次框架.
- 为调整理论和实践提供路线图,以解决数字健康差异.
主要方法:
- 借鉴信息系统理论,社会生态模型,组织学习,实施科学和系统思维.
- 围绕三个战略领域组织框架:数据基础设施 (SDOH-EHR集成),干预设计 (有针对性和通用方法) 和改革战略 (下游到上游).
主要成果:
- 该框架支持微型,中型和宏观层面的战略对齐,以实现股权.
- 它说明了将SDOH数据整合到以人为中心的护理中,将有针对性的工具与通用策略结合起来,并使用支持服务和政策宣传来推动结构改革.
- 强调持续的学习和多层次的调整,以嵌入公平性到LHS.
结论:
- 拟议的框架为医疗保健系统提供了一种可操作和可适应的方法,以推进数字健康公平.
- 它指导着SDOH数据的整合,可扩展的干预措施,以及LHS内部的上游改革.
- 通过将公平性嵌入到系统设计和功能中,促进实现五重目标的可持续进展.
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