An investigation of quantitative methods for assessing intersectionality in health research: A systematic review

Intersectionality is a theoretical framework that investigates how interlocking systems of power and oppression at the societal level influence the lived experiences of historically and socially marginalized groups. Currently, there are no consistent or widely adopted quantitative methods to investi...

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Autores principales:	Alice Guan, Marilyn Thomas, Eric Vittinghoff, Lisa Bowleg, Christina Mangurian, Paul Wesson
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Epidemiology Intersectionality Statistics Research methods Systematic review Public aspects of medicine RA1-1270 Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/351305c75bd44d92b3968c7a50f5b544
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spelling	oai:doaj.org-article:351305c75bd44d92b3968c7a50f5b5442021-11-26T04:35:02ZAn investigation of quantitative methods for assessing intersectionality in health research: A systematic review2352-827310.1016/j.ssmph.2021.100977https://doaj.org/article/351305c75bd44d92b3968c7a50f5b5442021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352827321002524https://doaj.org/toc/2352-8273Intersectionality is a theoretical framework that investigates how interlocking systems of power and oppression at the societal level influence the lived experiences of historically and socially marginalized groups. Currently, there are no consistent or widely adopted quantitative methods to investigate research questions informed by intersectionality theory. The objective of this systematic review is to describe the current landscape of quantitative methods used to assess intersectionality and to provide recommendations on analytic best practices for future research. We searched PubMed, EMBASE, and the Web of Science in December 2019 to identify studies using analytic quantitative intersectionality approaches published up to December 2019 (PROSPERO CRD42020162686). To be included in the study, articles had to: (1) be empirical research, (2) use a quantitative statistical method, (3) be published in English, and (4) incorporate intersectionality. Our initial search yielded 1889 articles. After screening by title/abstract, methods, and full text review, our final analytic sample included 153 papers. Eight unique classes of quantitative methods were identified, with the majority of studies employing regression with an interaction term. We additionally identified several methods which appear to be at odds with the key tenets of intersectionality. As quantitative intersectionality continues to expand, careful attention is needed to avoid the dilution of the core tenets. Specifically, emphasis on social power is needed as methods continue to be adopted and developed. Additionally, clear explanation of the selection of statistical approaches is needed and, when using regression with interaction terms, researchers should opt for use of the additive scale. Finally, use of methods that are potentially at odds with the tenets of intersectionality should be avoided.Alice GuanMarilyn ThomasEric VittinghoffLisa BowlegChristina MangurianPaul WessonElsevierarticleEpidemiologyIntersectionalityStatisticsResearch methodsSystematic reviewPublic aspects of medicineRA1-1270Social sciences (General)H1-99ENSSM: Population Health, Vol 16, Iss , Pp 100977- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Epidemiology Intersectionality Statistics Research methods Systematic review Public aspects of medicine RA1-1270 Social sciences (General) H1-99
spellingShingle	Epidemiology Intersectionality Statistics Research methods Systematic review Public aspects of medicine RA1-1270 Social sciences (General) H1-99 Alice Guan Marilyn Thomas Eric Vittinghoff Lisa Bowleg Christina Mangurian Paul Wesson An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
description	Intersectionality is a theoretical framework that investigates how interlocking systems of power and oppression at the societal level influence the lived experiences of historically and socially marginalized groups. Currently, there are no consistent or widely adopted quantitative methods to investigate research questions informed by intersectionality theory. The objective of this systematic review is to describe the current landscape of quantitative methods used to assess intersectionality and to provide recommendations on analytic best practices for future research. We searched PubMed, EMBASE, and the Web of Science in December 2019 to identify studies using analytic quantitative intersectionality approaches published up to December 2019 (PROSPERO CRD42020162686). To be included in the study, articles had to: (1) be empirical research, (2) use a quantitative statistical method, (3) be published in English, and (4) incorporate intersectionality. Our initial search yielded 1889 articles. After screening by title/abstract, methods, and full text review, our final analytic sample included 153 papers. Eight unique classes of quantitative methods were identified, with the majority of studies employing regression with an interaction term. We additionally identified several methods which appear to be at odds with the key tenets of intersectionality. As quantitative intersectionality continues to expand, careful attention is needed to avoid the dilution of the core tenets. Specifically, emphasis on social power is needed as methods continue to be adopted and developed. Additionally, clear explanation of the selection of statistical approaches is needed and, when using regression with interaction terms, researchers should opt for use of the additive scale. Finally, use of methods that are potentially at odds with the tenets of intersectionality should be avoided.
format	article
author	Alice Guan Marilyn Thomas Eric Vittinghoff Lisa Bowleg Christina Mangurian Paul Wesson
author_facet	Alice Guan Marilyn Thomas Eric Vittinghoff Lisa Bowleg Christina Mangurian Paul Wesson
author_sort	Alice Guan
title	An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
title_short	An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
title_full	An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
title_fullStr	An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
title_full_unstemmed	An investigation of quantitative methods for assessing intersectionality in health research: A systematic review
title_sort	investigation of quantitative methods for assessing intersectionality in health research: a systematic review
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/351305c75bd44d92b3968c7a50f5b544
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An investigation of quantitative methods for assessing intersectionality in health research: A systematic review

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