通过改进EMR数据报告,识别和改进种族在差异研究中的"基本真相". 一个系统的审查
Babajide O Owosela1, Rebecca S Steinberg1, Sharon L Leslie2
1Emory University School of Medicine, Department of Medicine, Atlanta, GA, USA.
International journal of medical informatics
|December 13, 2023
概括
电子医疗记录 (EMR) 中种族/种族数据的标准化对于提高健康差异研究的准确性至关重要. 在EMR中不一致的数据收集方法可能会导致关于种族健康差异的错误结论.
科学领域:
- 医疗保健研究的研究.
- 在健康方面存在差异.
- 数据科学是数据科学.
背景情况:
- 关于医疗保健中的种族差异的研究正在增加,但缺乏标准化的种族/种族数据定义和利用.
- 不一致的数据收集影响研究结果的质量和可靠性.
- 种族/民族数据的标准化对于加强研究结论至关重要.
研究的目的:
- 检查如何在健康差异研究中记录种族/种族数据.
- 识别种族/种族数据报告中的问题和解决方案.
- 评估数据报告对整体数据质量的影响.
主要方法:
- 从多个数据库 (PubMed,Scopus,科学网等) 中对2000-2020年间发表的文章进行系统审查. ) 的情况.
- 搜索术语包括"电子医疗记录"",种族/种族"和"数据输入".
- 排除非英语文章和关于儿科人口的研究;遵守PRISMA 2020指南.
主要成果:
- 审查了109篇全文文章.
- 确定电子医疗记录 (EMR) 在种族数据收集中的不准确和不完整是主要问题.
- 提议提高种族数据收集和在患者护理中的使用标准化,作为提高数据质量的关键解决方案.
结论:
- 关于种族/种族群体的大型数据集的结论需要谨慎解释.
- 在将研究结果应用于患者护理之前,必须对出版方法进行彻底审查.
- 标准化的种族/种族数据收集对于准确的健康差异研究至关重要.
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