美国疾病预防控制中心国家死亡指数死亡率数据的验证,重点关注种族和种族差异
Monica Ter-Minassian1, Sundeep S Basra2, Eric S Watson2
1Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA monica.ter-minassian@kp.org.
BMJ health & care informatics
|July 10, 2023
概括
国家死亡指数 (NDI) 可以提高医疗保健研究中的死亡率数据捕获. 然而,其最佳匹配算法需要进行质量控制,以确保准确的患者识别和死亡日期.
科学领域:
- 公共卫生 公共卫生
- 生物统计学 生物统计学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 国家死亡指数 (NDI) 是美国死亡率数据的关键资源.
- 准确的患者标识符对于在NDI中匹配记录至关重要.
- 医疗保健研究依赖于精确的死亡率结果.
研究的目的:
- 评估国家死亡指数 (NDI) 在医疗保健研究中的表现.
- 用电子健康记录评估NDI数据匹配的准确性.
- 确定NDI对死亡结果研究的有用性.
主要方法:
- 利用凯撒永恒中大西洋国家虚拟数据仓库 (KPMAS-VDW) 的2005-2017年数据.
- 提交了1,036,449个会员记录到NDI进行匹配.
- 将NDI最佳匹配算法结果与VDW数据进行了比较,以确定生命状态和死亡日期.
主要成果:
- 在1,036,449个提交的记录中,NDI发现了372,865个唯一的可能匹配 (36%).
- 人口统计分析假定死亡记录显示,女性和少数群体的代表性低于假定活着的记录.
- 在27,306个记录中发现了确切的死亡日期匹配,NDI确定了10,017个在VDW中不存在的额外死亡.
结论:
- NDI数据显著改善了死亡率信息的捕获.
- 为了提高准确性,NDI最佳匹配算法需要进一步的质量控制.
- NDI是医疗保健研究的一个有价值的工具,但需要精细化以实现最佳使用.
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