地区卫生管理的数据驱动决策:埃塞俄比亚24个地区的集群随机研究
Bilal Iqbal Avan1, Mehret Dubale2, Girum Taye3
1Population Health, London School of Hygiene & Tropical Medicine, London, UK bilal.avan@lshtm.ac.uk.
BMJ global health
|February 29, 2024
概括
数据健康平台通过加强地区卫生官员的数据使用和决策实践,改善了埃塞俄比亚的健康管理. 这种加强系统的战略导致了更好的医疗服务提供和利益相关者的合作.
科学领域:
- 公共卫生 公共卫生
- 加强卫生系统 加强卫生系统
- 医疗信息学 医疗信息学
背景情况:
- 在低收入和中等收入国家,用于计划孕产妇,新生儿和儿童健康服务的当地数据利用不足.
- 分权化和数据收集的进步凸显了改善数据共享和协作规划文化的需要.
- 数据健康平台 (DIPH) 是一项战略,旨在利用当地数据加强地区卫生官员的结构化决策.
研究的目的:
- 描述埃塞俄比亚地区级别DIPH战略的实施和过程评估.
- 通过一个集群随机试验,评估DIPH对健康信息系统性能和数据驱动决策治理的影响.
主要方法:
- 一个集群随机试验,涉及埃塞俄比亚北谢瓦地区的12个地区,持续20个月 (2020年10月-2022年6月).
- 干预区参与了为期4个月的数据驱动决策周期,包括问题定义,数据审查,解决方案考虑,优先考虑和行动计划制定.
- 测量结果包括健康信息系统的性能和数据驱动决策的治理,分析使用差异差异.
主要成果:
- 实施包括58个周期,重点关注区级卫生服务提供挑战.
- 在管理员的数据驱动决策中观察到的显著改善:服务绩效审查的规律性增加了77%,对设施的基于数据的反增加了48%.
- 定性数据表明,区域卫生工作人员加强了数据使用和协作决策.
结论:
- 基于数据的健康平台的实施显示了20个月的强化健康管理的强有力的证据.
- 主要改进包括加强数据使用和评估实践,系统性问题分析和更好的利益相关方参与.
- 该战略有效地支持基于证据的决策,以改善医疗服务.
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