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Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care

BACKGROUND: The Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 gave states the option to withdraw Medicaid coverage of nonemergency care from most legal immigrants. Our goal was to assess the effect of PRWORA on hospital uncompensated care in the United States. METH...

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Autores principales: Castel, Liana D, Timbie, Justin W, Sendersky, Veronica, Curtis, Lesley H, Feather, Keith A, Schulman, Kevin A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC140321/
https://www.ncbi.nlm.nih.gov/pubmed/12523939
http://dx.doi.org/10.1186/1472-6963-3-1
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author Castel, Liana D
Timbie, Justin W
Sendersky, Veronica
Curtis, Lesley H
Feather, Keith A
Schulman, Kevin A
author_facet Castel, Liana D
Timbie, Justin W
Sendersky, Veronica
Curtis, Lesley H
Feather, Keith A
Schulman, Kevin A
author_sort Castel, Liana D
collection PubMed
description BACKGROUND: The Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 gave states the option to withdraw Medicaid coverage of nonemergency care from most legal immigrants. Our goal was to assess the effect of PRWORA on hospital uncompensated care in the United States. METHODS: We collected the following state-level data for the period from 1994 through 1999: foreign-born, noncitizen population and health uninsurance rates (US Census Current Population Survey); percentage of teaching hospitals (American Hospital Association Annual Survey of Hospitals); and each state's decision whether to implement the PRWORA Medicaid bar for legal permanent residents or to continue offering nonemergency Medicaid coverage using state-only funds (Urban Institute). We modeled uncompensated care expenditures by state (also from the Annual Survey of Hospitals) in both univariate and multivariable regression analyses. RESULTS: When measured at the state level, there was no significant relationship between uncompensated care expenditures and states' percentage of noncitizen immigrants. Uninsurance rates were the only significant factor in predicting uncompensated hospital care expenditures by state. CONCLUSIONS: Reducing the number of uninsured patients would most surely reduce hospital expenditures for uncompensated care. However, data limitations hampered our efforts to obtain a monetary estimate of hospitals' financial losses due specifically to the immigrant eligibility changes in PRWORA. Quantifying the impact of these provisions on hospitals will require better data sources.
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spelling pubmed-1403212003-02-04 Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care Castel, Liana D Timbie, Justin W Sendersky, Veronica Curtis, Lesley H Feather, Keith A Schulman, Kevin A BMC Health Serv Res Research Article BACKGROUND: The Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 gave states the option to withdraw Medicaid coverage of nonemergency care from most legal immigrants. Our goal was to assess the effect of PRWORA on hospital uncompensated care in the United States. METHODS: We collected the following state-level data for the period from 1994 through 1999: foreign-born, noncitizen population and health uninsurance rates (US Census Current Population Survey); percentage of teaching hospitals (American Hospital Association Annual Survey of Hospitals); and each state's decision whether to implement the PRWORA Medicaid bar for legal permanent residents or to continue offering nonemergency Medicaid coverage using state-only funds (Urban Institute). We modeled uncompensated care expenditures by state (also from the Annual Survey of Hospitals) in both univariate and multivariable regression analyses. RESULTS: When measured at the state level, there was no significant relationship between uncompensated care expenditures and states' percentage of noncitizen immigrants. Uninsurance rates were the only significant factor in predicting uncompensated hospital care expenditures by state. CONCLUSIONS: Reducing the number of uninsured patients would most surely reduce hospital expenditures for uncompensated care. However, data limitations hampered our efforts to obtain a monetary estimate of hospitals' financial losses due specifically to the immigrant eligibility changes in PRWORA. Quantifying the impact of these provisions on hospitals will require better data sources. BioMed Central 2003-01-10 /pmc/articles/PMC140321/ /pubmed/12523939 http://dx.doi.org/10.1186/1472-6963-3-1 Text en Copyright © 2003 Castel et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Castel, Liana D
Timbie, Justin W
Sendersky, Veronica
Curtis, Lesley H
Feather, Keith A
Schulman, Kevin A
Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title_full Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title_fullStr Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title_full_unstemmed Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title_short Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
title_sort toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC140321/
https://www.ncbi.nlm.nih.gov/pubmed/12523939
http://dx.doi.org/10.1186/1472-6963-3-1
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