在一生中社会环境的种族组成使用图形种族组成测量:发展和验证研究研究
Jemar R Bather1,2, Kimberly A Kaphingst3,4, Melody S Goodman1,2
1Center for Anti-racism, Social Justice & Public Health, School of Global Public Health, New York University, New York, NY, United States.
JMIR public health and surveillance
|August 8, 2024
概括
一个新的图形种族构成测量 (PRCM) 准确地评估了各种社会环境中的种族隔离. 该工具提供了一种可靠的方式来了解结构性种族主义对健康的影响.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 健康差异 在健康上的差异
背景情况:
- 以前关于种族隔离和健康的研究产生了不一致的结果,往往只关注邻居的种族构成.
- 现有的种族组成指标是有限的,只评估一个维度,并使用不同的方法.
研究的目的:
- 开发和验证一种新的,全面的种族隔离测量方法:图形种族组成测量 (PRCM).
主要方法:
- 该PRCM是一份10项图形问卷,评估不同社会环境 (社区,学校,工作场所) 的种族组成.
- 通过对医疗服务不足的患者进行认知访谈 (n=13) 和调查 (N=549) 进行验证.
- 利用对比比较 (主要是黑人与其他人,主要是白人与其他人) 并计算了广泛的有效度指标.
主要成果:
- "大多数黑人"和"大多数白人"二分化与"半黑人"方法相比,表现出更高的有效性.
- 无论是"主要是黑人"还是"主要是白人"的二分化,在所有环境中都显示了中等至高的灵敏度,特异性和预测值.
- 积极的概率比率超过1,负的概率比率接近0,虚假阳性和负率低至中等.
结论:
- 该PRCM,使用"主要是黑人"或"主要是白人"二分化,提供准确可靠的种族组成措施.
- 它为跨学科的研究和临床环境提供了一个统一的,跨生命周期的工具.
- PRCM有助于理解结构性种族主义对少数群体的影响,并为公平的健康干预提供信息.
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