Scheim Ayden I, Bauer Greta R, Bastos João L, Poteat Tonia
Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States.
Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
JMIR Res Protoc. 2021 Aug 30;10(8):e30987. doi: 10.2196/30987.
Guided by intersectionality frameworks, researchers have documented health disparities at the intersection of multiple axes of social status and position, particularly race and ethnicity, gender, and sexual orientation. To advance from identifying to intervening in such intersectional health disparities, studies that examine the underlying mechanisms are required. Although much research demonstrates the negative health impacts of perceived discrimination along single axes, quantitative approaches to assessing the role of discrimination in generating intersectional health disparities remain in their infancy. Members of our team recently introduced the Intersectional Discrimination Index (InDI) to address this gap. The InDI comprises three measures of enacted (day-to-day and major) and anticipated discrimination. These attribution-free measures ask about experiences of mistreatment because of who you are. These measures show promise for intersectional health disparities research but require further validation across intersectional groups and languages. In addition, the proposal to remove attributions is controversial, and no direct comparison has ever been conducted.
This study aims to cognitively and psychometrically evaluate the InDI in English and Spanish and determine whether attributions should be included.
The study will draw on a preliminary validation data set and three original sequentially collected sources of data: qualitative cognitive interviews in English and Spanish with a sample purposively recruited across intersecting social status and position (gender, sexual orientation, race and ethnicity, socioeconomic status, age, and nativity); a Spanish quantitative survey (n=500; 250/500, 50% sexual and gender minorities); and an English quantitative survey (n=3000), with quota sampling by race and ethnicity (Black, Latino/a/x, and White), sexual or gender minority status, and gender.
The study was funded by the National Institute on Minority Health and Health Disparities in May 2021, and data collection began in July 2021.
The key deliverables of the study will be bilingual measures of anticipated, day-to-day, and major discrimination validated for multiple health disparity populations using qualitative, quantitative, and mixed methods.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/30987.
在交叉性框架的指导下，研究人员记录了社会地位和位置的多个轴相交处的健康差异，特别是种族和民族、性别以及性取向。为了从识别这种交叉性健康差异转向对其进行干预，需要开展研究来探究潜在机制。尽管许多研究表明单一轴向上感知到的歧视对健康有负面影响，但评估歧视在导致交叉性健康差异中所起作用的定量方法仍处于起步阶段。我们团队的成员最近引入了交叉性歧视指数（InDI）来填补这一空白。InDI包含三种对实际发生的（日常和重大）以及预期歧视的衡量指标。这些无归因指标询问因你是谁而遭受虐待的经历。这些指标在交叉性健康差异研究中显示出前景，但需要在不同交叉性群体和语言中进一步验证。此外，去除归因的提议存在争议，且从未进行过直接比较。
本研究旨在对英文和西班牙文的InDI进行认知和心理测量评估，并确定是否应纳入归因。
该研究将利用一个初步验证数据集以及三个依次收集的原始数据源：对在社会地位和位置（性别、性取向、种族和民族、社会经济地位、年龄和出生地）交叉领域有目的地招募的样本进行英文和西班牙文的定性认知访谈；一项西班牙文定量调查（n = 500；250/500，50%为性少数和性别少数群体）；以及一项英文定量调查（n = 3000），按种族和民族（黑人、拉丁裔/a/x和白人）、性或性别少数群体身份以及性别进行配额抽样。
该研究于2021年5月获得美国国立少数族裔健康与健康差异研究所的资助，并于2021年7月开始数据收集。
该研究的关键成果将是使用定性、定量和混合方法为多个健康差异人群验证的预期、日常和重大歧视的双语测量指标。
国际注册报告识别码（IRRID）：PRR1 - 10.2196/30987。
