检查协议之间的二元西班牙裔或拉丁裔种族变量与原产国之间的协议
Rama A Salhi1, Melissa A Meeker1, Kori S Zachrison1
1Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA.
Annals of emergency medicine
|September 27, 2025
概括
二元西班牙裔或拉丁裔种族变量可能低估了患者人群. 改善种族数据收集对于准确识别健康差异和有效指导干预至关重要.
科学领域:
- 卫生公平研究 卫生公平研究
- 人口数据分析 人口数据分析
- 健康差异 在健康方面存在差异.
背景情况:
- 准确的人口统计数据对于识别和解决健康差异至关重要.
- 种族的分类,特别是对于西班牙裔或拉丁裔患者来说,存在挑战.
- 目前的方法包括二元种族和原产国清单,缺乏标准化的定义.
研究的目的:
- 检查二进制西班牙裔或拉丁裔种族变量和基于原籍国的定义之间的协议.
- 评估不同定义对患者分类的影响.
- 突出当前种族数据收集方法的局限性.
主要方法:
- 区域卫生保健系统的横截面研究 (2021-2023年).
- 主要结果:二元种族和原籍国之间的协议.
- 使用了多个定义,包括美国管理和预算办公室 (OMB).
主要成果:
- 分析了超过290万名患者;对二元种族和原籍国的反应率分别为83.1%和75.1%.
- 只有70%的通过二进制变量确定为西班牙裔或拉丁裔的患者有OMB定义的原产国.
- 扩大了定义,包括了更多的国家,同意率增加到73%.
结论:
- 二元西班牙裔或拉丁裔种族变量可能导致低估患者人群.
- 改进数据质量和细微的种族评估对于准确的差异识别至关重要.
- 不准确的数据可能会误导干预措施,并阻碍减少疾病负担的努力.
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