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Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study

BACKGROUND: 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 he...

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Autores principales: Scheim, Ayden I, Bauer, Greta R, Bastos, João L, Poteat, Tonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438612/
https://www.ncbi.nlm.nih.gov/pubmed/34459747
http://dx.doi.org/10.2196/30987
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author Scheim, Ayden I
Bauer, Greta R
Bastos, João L
Poteat, Tonia
author_facet Scheim, Ayden I
Bauer, Greta R
Bastos, João L
Poteat, Tonia
author_sort Scheim, Ayden I
collection PubMed
description BACKGROUND: 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. OBJECTIVE: This study aims to cognitively and psychometrically evaluate the InDI in English and Spanish and determine whether attributions should be included. METHODS: 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. RESULTS: The study was funded by the National Institute on Minority Health and Health Disparities in May 2021, and data collection began in July 2021. CONCLUSIONS: 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
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spelling pubmed-84386122021-09-27 Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study Scheim, Ayden I Bauer, Greta R Bastos, João L Poteat, Tonia JMIR Res Protoc Protocol BACKGROUND: 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. OBJECTIVE: This study aims to cognitively and psychometrically evaluate the InDI in English and Spanish and determine whether attributions should be included. METHODS: 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. RESULTS: The study was funded by the National Institute on Minority Health and Health Disparities in May 2021, and data collection began in July 2021. CONCLUSIONS: 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 JMIR Publications 2021-08-30 /pmc/articles/PMC8438612/ /pubmed/34459747 http://dx.doi.org/10.2196/30987 Text en ©Ayden I Scheim, Greta R Bauer, João L Bastos, Tonia Poteat. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 30.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Scheim, Ayden I
Bauer, Greta R
Bastos, João L
Poteat, Tonia
Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title_full Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title_fullStr Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title_full_unstemmed Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title_short Advancing Intersectional Discrimination Measures for Health Disparities Research: Protocol for a Bilingual Mixed Methods Measurement Study
title_sort advancing intersectional discrimination measures for health disparities research: protocol for a bilingual mixed methods measurement study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438612/
https://www.ncbi.nlm.nih.gov/pubmed/34459747
http://dx.doi.org/10.2196/30987
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