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A simulation model approach to analysis of the business case for eliminating health care disparities

BACKGROUND: Purchasers can play an important role in eliminating racial and ethnic disparities in health care. A need exists to develop a compelling "business case" from the employer perspective to put, and keep, the issue of racial/ethnic disparities in health care on the quality improvem...

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Autores principales: Nerenz, David R, Liu, Yung-wen, Williams, Keoki L, Tunceli, Kaan, Zeng, Huiwen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3073955/
https://www.ncbi.nlm.nih.gov/pubmed/21418594
http://dx.doi.org/10.1186/1471-2288-11-31
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author Nerenz, David R
Liu, Yung-wen
Williams, Keoki L
Tunceli, Kaan
Zeng, Huiwen
author_facet Nerenz, David R
Liu, Yung-wen
Williams, Keoki L
Tunceli, Kaan
Zeng, Huiwen
author_sort Nerenz, David R
collection PubMed
description BACKGROUND: Purchasers can play an important role in eliminating racial and ethnic disparities in health care. A need exists to develop a compelling "business case" from the employer perspective to put, and keep, the issue of racial/ethnic disparities in health care on the quality improvement agenda for health plans and providers. METHODS: To illustrate a method for calculating an employer business case for disparity reduction and to compare the business case in two clinical areas, we conducted analyses of the direct (medical care costs paid by employers) and indirect (absenteeism, productivity) effects of eliminating known racial/ethnic disparities in mammography screening and appropriate medication use for patients with asthma. We used Markov simulation models to estimate the consequences, for defined populations of African-American employees or health plan members, of a 10% increase in HEDIS mammography rates or a 10% increase in appropriate medication use among either adults or children/adolescents with asthma. RESULTS: The savings per employed African-American woman aged 50-65 associated with a 10% increase in HEDIS mammography rate, from direct medical expenses and indirect costs (absenteeism, productivity) combined, was $50. The findings for asthma were more favorable from an employer point of view at approximately $1,660 per person if raising medication adherence rates in African-American employees or dependents by 10%. CONCLUSIONS: For the employer business case, both clinical scenarios modeled showed positive results. There is a greater potential financial gain related to eliminating a disparity in asthma medications than there is for eliminating a disparity in mammography rates.
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spelling pubmed-30739552011-04-12 A simulation model approach to analysis of the business case for eliminating health care disparities Nerenz, David R Liu, Yung-wen Williams, Keoki L Tunceli, Kaan Zeng, Huiwen BMC Med Res Methodol Research Article BACKGROUND: Purchasers can play an important role in eliminating racial and ethnic disparities in health care. A need exists to develop a compelling "business case" from the employer perspective to put, and keep, the issue of racial/ethnic disparities in health care on the quality improvement agenda for health plans and providers. METHODS: To illustrate a method for calculating an employer business case for disparity reduction and to compare the business case in two clinical areas, we conducted analyses of the direct (medical care costs paid by employers) and indirect (absenteeism, productivity) effects of eliminating known racial/ethnic disparities in mammography screening and appropriate medication use for patients with asthma. We used Markov simulation models to estimate the consequences, for defined populations of African-American employees or health plan members, of a 10% increase in HEDIS mammography rates or a 10% increase in appropriate medication use among either adults or children/adolescents with asthma. RESULTS: The savings per employed African-American woman aged 50-65 associated with a 10% increase in HEDIS mammography rate, from direct medical expenses and indirect costs (absenteeism, productivity) combined, was $50. The findings for asthma were more favorable from an employer point of view at approximately $1,660 per person if raising medication adherence rates in African-American employees or dependents by 10%. CONCLUSIONS: For the employer business case, both clinical scenarios modeled showed positive results. There is a greater potential financial gain related to eliminating a disparity in asthma medications than there is for eliminating a disparity in mammography rates. BioMed Central 2011-03-19 /pmc/articles/PMC3073955/ /pubmed/21418594 http://dx.doi.org/10.1186/1471-2288-11-31 Text en Copyright ©2011 Nerenz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nerenz, David R
Liu, Yung-wen
Williams, Keoki L
Tunceli, Kaan
Zeng, Huiwen
A simulation model approach to analysis of the business case for eliminating health care disparities
title A simulation model approach to analysis of the business case for eliminating health care disparities
title_full A simulation model approach to analysis of the business case for eliminating health care disparities
title_fullStr A simulation model approach to analysis of the business case for eliminating health care disparities
title_full_unstemmed A simulation model approach to analysis of the business case for eliminating health care disparities
title_short A simulation model approach to analysis of the business case for eliminating health care disparities
title_sort simulation model approach to analysis of the business case for eliminating health care disparities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3073955/
https://www.ncbi.nlm.nih.gov/pubmed/21418594
http://dx.doi.org/10.1186/1471-2288-11-31
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