与英格兰2021年人口普查相比,了解与健康相关的行政数据源中记录的种族数据的质量
Cameron Razieh1,2,3, Bethan Powell1, Rosemary Drummond1
1Office for National Statistics, Newport, United Kingdom.
PLoS medicine
|February 26, 2025
概括
电子健康记录 (EHR) 种族数据与人口普查数据相比显示出严重的不准确性,特别是对于少数民族群体. 这种数据差异可能会导致偏见的健康结果估计和错误的健康政策决策.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 社会学 社会学 社会学
背景情况:
- 电子健康记录 (EHR) 越来越多地用于研究种族之间的健康差异.
- 现有的研究表明,在电子健康记录中,种族记录存在潜在的缺陷.
- 缺乏可靠的证据来比较现实世界EHR种族数据的准确性与人口普查数据.
研究的目的:
- 对2021年人口普查的英国国家卫生服务 (NHS) 数据来源中的种族记录的准确性进行评估.
- 评估不同种族类别分配方法对数据协议的影响.
- 识别特定的种族群体在健康数据中存在重大记录差异.
主要方法:
- 将英格兰NHS的初级和中等保健数据 (GDPR,HES,ECIA,TT) 与2021年人口普查数据联系起来.
- 在NHS数据源和自我报告的人口普查数据之间比较个人层面的种族记录.
- 分析了跨多个种族类别和数据源的协议水平.
主要成果:
- 在所有来源中,在白色英国人类别中观察到高一致性 (≥96%).
- 在孟加拉国,巴基斯坦,印度和中国的类别中发现了良好的协议 (≥80%).
- 对于混合 (≤75%),其他 (≤71%),吉普赛人或爱尔兰旅行者 (≤6%),其他黑人 (≤19%) 和任何其他族群 (≤25%) 的类别,注意到了实质性的不一致.
结论:
- 与人口普查数据相比,在不同的NHS数据源中记录种族存在重大差异.
- 这些不准确性可能导致对种族之间的健康结果差异的偏见估计.
- 这些发现突出了影响卫生政策和规划决策的关键数据质量问题.
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