使用国家链接电子健康记录估计疾病负担:使用基于英国人口的队列研究
Robert W Aldridge1, Hannah E R Evans1, Alexei Yavlinsky1
1Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.
Wellcome open research
|August 2, 2024
概括
国家电子健康记录 (EHR) 为癌症,糖尿病和腰部疼痛提供了详细的疾病负担估计. 链接数据集提高了准确性,揭示了社会经济地位的差异,并提高了决策潜力.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 电子健康记录 (EHR) 为生成综合疾病负担估计提供了重大潜力.
- 这项研究使用了国家EHR数据来评估三个高负担条件.
研究的目的:
- 创建疾病负担估计使用癌症,糖尿病和腰部疼痛的国家EHR数据.
- 为了比较链接和非链接的EHR数据集之间的疾病估计.
- 根据人口和社会经济因素制作分层估计.
主要方法:
- 综合初级保健 (CPRD),二级保健 (HES) 和死亡率 (ONS) 记录.
- 采用已建立的癌症,1型和2型糖尿病以及腰部疼痛的疾病表型算法.
- 癌症的计算发病率,糖尿病的点患病率和腰部疼痛的咨询患病率.
主要成果:
- 来自链接的EHR (CPRD-HES-ONS) 的肺癌和肠癌发病率估计与癌症注册表数据保持一致.
- 随着时间的推移,链接的EHRs (CPRD-HES) 产生了比非链接的EHRs (CPRD) 更高的糖尿病患病率估计.
- 腰部疼痛的患病率在最贫困的五分之一中最高,观察到越来越多的差异.
结论:
- 国家电子健康数据允许详细估计疾病负担,按贫困,种族和地理位置分层.
- 这些来自EHR的估计可以增强本地和全球疾病负担评估.
- 国家电子健康数据库为政策和全球卫生倡议提供了自动化,及时和精确的投入的潜力.
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