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Discerning Disparities: The Data Gap
Health disparities that focus on gender and on the ancillary dependent variables of race and ethnicity reflect continually early illness, compromised quality of life, and often premature and preventable deaths. The inability of the nation to eliminate disparities also track along race and gender in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771124/ https://www.ncbi.nlm.nih.gov/pubmed/30345874 http://dx.doi.org/10.1177/1557988318807098 |
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author | Treadwell, Henrie M. Ro, Marguerite Sallad, LaTonya McCray, Erica Franklin, Cheryl |
author_facet | Treadwell, Henrie M. Ro, Marguerite Sallad, LaTonya McCray, Erica Franklin, Cheryl |
author_sort | Treadwell, Henrie M. |
collection | PubMed |
description | Health disparities that focus on gender and on the ancillary dependent variables of race and ethnicity reflect continually early illness, compromised quality of life, and often premature and preventable deaths. The inability of the nation to eliminate disparities also track along race and gender in communities where a limited number of health-care providers and policymakers identify as being from these traditionally underserved and marginalized population groups. Epidemiologists and other researchers and analysts have traditionally failed to integrate the social determinants of health and other variables known to support upward mobility in their predictive analyses of health status. The poor, and poor men of color particularly, begin a descent to invisibility and separation that has been witnessed since the early days of this nation. This history has the majority of men of color mired in poverty or near poverty and has more substantively and explicitly affected both American Indians and Africans forced into immigration into the United States and into slavery. Other racial and ethnic groups including large distinct ethnic groups of Asian Americans and Hispanics/Latinx do not have their treatment by systems fully reported from a health and social justice perspective simply because the systems do not disaggregate by race and ethnicity. It is axiomatic that examining disparities through the lens of race, ethnicity, and gender provides a unique opportunity to reflect upon what is known about boys’ and men’s health, particularly men from communities of color, and about payment systems. Integration of all populations into the enumeration of morbidity, mortality, and disparity indices is a dynamic reflection of the vision and exclusive actions of decision makers. |
format | Online Article Text |
id | pubmed-6771124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67711242019-10-18 Discerning Disparities: The Data Gap Treadwell, Henrie M. Ro, Marguerite Sallad, LaTonya McCray, Erica Franklin, Cheryl Am J Mens Health Special Section: Racial and Ethnic Diversity and Disparity Issues Health disparities that focus on gender and on the ancillary dependent variables of race and ethnicity reflect continually early illness, compromised quality of life, and often premature and preventable deaths. The inability of the nation to eliminate disparities also track along race and gender in communities where a limited number of health-care providers and policymakers identify as being from these traditionally underserved and marginalized population groups. Epidemiologists and other researchers and analysts have traditionally failed to integrate the social determinants of health and other variables known to support upward mobility in their predictive analyses of health status. The poor, and poor men of color particularly, begin a descent to invisibility and separation that has been witnessed since the early days of this nation. This history has the majority of men of color mired in poverty or near poverty and has more substantively and explicitly affected both American Indians and Africans forced into immigration into the United States and into slavery. Other racial and ethnic groups including large distinct ethnic groups of Asian Americans and Hispanics/Latinx do not have their treatment by systems fully reported from a health and social justice perspective simply because the systems do not disaggregate by race and ethnicity. It is axiomatic that examining disparities through the lens of race, ethnicity, and gender provides a unique opportunity to reflect upon what is known about boys’ and men’s health, particularly men from communities of color, and about payment systems. Integration of all populations into the enumeration of morbidity, mortality, and disparity indices is a dynamic reflection of the vision and exclusive actions of decision makers. SAGE Publications 2018-10-20 /pmc/articles/PMC6771124/ /pubmed/30345874 http://dx.doi.org/10.1177/1557988318807098 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Section: Racial and Ethnic Diversity and Disparity Issues Treadwell, Henrie M. Ro, Marguerite Sallad, LaTonya McCray, Erica Franklin, Cheryl Discerning Disparities: The Data Gap |
title | Discerning Disparities: The Data Gap |
title_full | Discerning Disparities: The Data Gap |
title_fullStr | Discerning Disparities: The Data Gap |
title_full_unstemmed | Discerning Disparities: The Data Gap |
title_short | Discerning Disparities: The Data Gap |
title_sort | discerning disparities: the data gap |
topic | Special Section: Racial and Ethnic Diversity and Disparity Issues |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771124/ https://www.ncbi.nlm.nih.gov/pubmed/30345874 http://dx.doi.org/10.1177/1557988318807098 |
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