探索威尔士的种族动态:一项纵向人口规模相关数据研究,并开发了一种协调的种族脊柱
Ashley Akbari1, Fatemeh Torabi2, Stuart Bedston2
1Population Data Science, Swansea University Medical School, Swansea, UK A.Akbari@Swansea.ac.uk.
BMJ open
|August 3, 2024
概括
使用威尔士的4600万个健康记录创建了一个新的国家种族脊柱. 这一强大的数据集增强了医疗保健研究的种族测量,为其他英国地区提供了一个模板.
科学领域:
- 医疗信息学 医疗信息学
- 人口健康管理 人口健康管理
- 在医疗保健中的数据科学.
背景情况:
- 准确的种族数据对于了解健康差异至关重要.
- 电子健康记录 (EHR) 中现有的种族记录通常是碎片化和不一致的.
- 需要一个统一的,纵向的种族数据集来进行强大的医疗保健研究.
研究的目的:
- 通过使用链接,匿名的EHR和行政数据来开发一个国家种族脊柱.
- 为威尔士人口创建一个准备进行纵向研究的数据资产.
- 为医疗保健研究和政策提供可靠的种族测量.
主要方法:
- 使用了来自安全匿名信息链接 (SAIL) 数据库内的26个来源的纵向匿名个人级数据.
- 在威尔士 (2000-2021) 提取,协调和删除4600万个超过420万个人的种族记录.
- 与四种不同的种族记录选择方法 (最新,模式,加权模式,复合) 进行了比较,并评估了对ONS 2011年人口普查数据的完整性.
主要成果:
- 综合方法显示混合种族群体的患病率最高 (3.1%),相比其他方法 (0.6%-1.1%).
- "最新组"方法与2011年国家统计局的人口普查 (kappa=0.68) 显示出相当大的一致性.
- 到2021年,记录完整性超过95%,这表明数据质量很高.
结论:
- 已开发的人口规模的种族脊柱为威尔士的医疗保健研究提供了强大的种族措施.
- 这种数据资产作为一个有价值的模板,可以在其他英国可信的研究环境中部署.
- 该研究强调了数据链接和协调对于创建全面的健康数据集的重要性.
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