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Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim?
ABSTRACT: The USA was built on legalized racism that started with enslavement and continues in the form of structural racial discrimination. This discrimination is difficult to measure because its many manifestations are hard to observe and dynamic. A useful tool would measure across settings, insti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561453/ https://www.ncbi.nlm.nih.gov/pubmed/35486285 http://dx.doi.org/10.1007/s11524-022-00626-6 |
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author | LaFave, S. E. Bandeen-Roche, K. Gee, G. Thorpe, R. J. Li, Q. Crews, D. Samuel, L. Cooke, A. Hladek, M. Szanton, Sarah L. |
author_facet | LaFave, S. E. Bandeen-Roche, K. Gee, G. Thorpe, R. J. Li, Q. Crews, D. Samuel, L. Cooke, A. Hladek, M. Szanton, Sarah L. |
author_sort | LaFave, S. E. |
collection | PubMed |
description | ABSTRACT: The USA was built on legalized racism that started with enslavement and continues in the form of structural racial discrimination. This discrimination is difficult to measure because its many manifestations are hard to observe and dynamic. A useful tool would measure across settings, institutions, time periods in a person’s life and the country’s history. The purpose of this study was to design a measure of structural racial discrimination that meets those criteria and can be used in large national datasets. To do this, we started with an exploratory mixed-methods instrument design, including qualitative interviews with 15 older Black adults and focus groups with 38 discrimination researchers and other key stakeholders. We then identified 27 indicators of structural racial discrimination across nine theorized discrimination contexts. We matched these with historical administrative data sets to develop an instrument that could quantify older Black Americans’ exposure to structural racial discrimination across contexts, the life course, and geographies. These can be mapped to the life course of structural discrimination based on the home addresses of those surveyed. Linking these to available indicators is a promising approach. It is a low burden for participants and enables increasingly multifaceted and focused measurement as more national datasets become available. A flexible, feasible comprehensive measure of structural discrimination could allow not only more thorough documentation of inequities but also allow informed decision making about policies and programs intended to promote racial equity. SIGNIFICANCE STATEMENT: To our knowledge, this is the first study that presents a framework for assessing structural racial discrimination across contexts, life course, and geography that is grounded in theory and in the lived experience of intended participants. Leading researchers and policy makers have called for improved measures of structural racism and discrimination and specifically for a lifecourse approach to measurement. This study is a step in that direction. CLASSIFICATION: Social Sciences |
format | Online Article Text |
id | pubmed-9561453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-95614532022-11-29 Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? LaFave, S. E. Bandeen-Roche, K. Gee, G. Thorpe, R. J. Li, Q. Crews, D. Samuel, L. Cooke, A. Hladek, M. Szanton, Sarah L. J Urban Health Article ABSTRACT: The USA was built on legalized racism that started with enslavement and continues in the form of structural racial discrimination. This discrimination is difficult to measure because its many manifestations are hard to observe and dynamic. A useful tool would measure across settings, institutions, time periods in a person’s life and the country’s history. The purpose of this study was to design a measure of structural racial discrimination that meets those criteria and can be used in large national datasets. To do this, we started with an exploratory mixed-methods instrument design, including qualitative interviews with 15 older Black adults and focus groups with 38 discrimination researchers and other key stakeholders. We then identified 27 indicators of structural racial discrimination across nine theorized discrimination contexts. We matched these with historical administrative data sets to develop an instrument that could quantify older Black Americans’ exposure to structural racial discrimination across contexts, the life course, and geographies. These can be mapped to the life course of structural discrimination based on the home addresses of those surveyed. Linking these to available indicators is a promising approach. It is a low burden for participants and enables increasingly multifaceted and focused measurement as more national datasets become available. A flexible, feasible comprehensive measure of structural discrimination could allow not only more thorough documentation of inequities but also allow informed decision making about policies and programs intended to promote racial equity. SIGNIFICANCE STATEMENT: To our knowledge, this is the first study that presents a framework for assessing structural racial discrimination across contexts, life course, and geography that is grounded in theory and in the lived experience of intended participants. Leading researchers and policy makers have called for improved measures of structural racism and discrimination and specifically for a lifecourse approach to measurement. This study is a step in that direction. CLASSIFICATION: Social Sciences Springer US 2022-04-29 2022-10 /pmc/articles/PMC9561453/ /pubmed/35486285 http://dx.doi.org/10.1007/s11524-022-00626-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article LaFave, S. E. Bandeen-Roche, K. Gee, G. Thorpe, R. J. Li, Q. Crews, D. Samuel, L. Cooke, A. Hladek, M. Szanton, Sarah L. Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title | Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title_full | Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title_fullStr | Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title_full_unstemmed | Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title_short | Quantifying Older Black Americans’ Exposure to Structural Racial Discrimination: How Can We Measure the Water In Which We Swim? |
title_sort | quantifying older black americans’ exposure to structural racial discrimination: how can we measure the water in which we swim? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561453/ https://www.ncbi.nlm.nih.gov/pubmed/35486285 http://dx.doi.org/10.1007/s11524-022-00626-6 |
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