Literature DB >> 10705705

Vulnerable populations and health insurance.

L Shi1.   

Abstract

This study provided a national profile of health insurance of certain vulnerable populations including children, racial/ethnic minorities, low-income families, non-metropolitan statistical area (MSA) residents, and those with poor health status. The study shows an increase in the proportion of uninsured nonelderly population. While public insurance helped reduce the employment- and health-related disparities in private coverage, it has not overcome other disparities related to vulnerable characteristics including race/ethnicity, wages, education, and area of residence. Comparison between health maintenance organization (HMO) and fee-for-service insurance indicates that younger although not much healthier people, racial/ethnic minorities, MSA residents, and those residing in the West and Northeast regions were more likely to have HMO coverage. To reduce significant disparities in health insurance coverage, policy makers will have to consider expanding public insurance coverage, targeting vulnerable groups, particularly those with multiple vulnerable characteristics rather than merely the economically distressed. Expecting managed care to achieve cost containment for services provided to vulnerable populations may be unrealistic.

Entities:  

Keywords:  Empirical Approach; Health Care and Public Health

Mesh:

Year:  2000        PMID: 10705705     DOI: 10.1177/107755870005700107

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  11 in total

1.  Racial and ethnic differences in access to medical care in managed care plans.

Authors:  J L Hargraves; P J Cunningham; R G Hughes
Journal:  Health Serv Res       Date:  2001-10       Impact factor: 3.402

2.  Length of hospital stays among obese individuals.

Authors:  Claire Zizza; Amy H Herring; June Stevens; Barry M Popkin
Journal:  Am J Public Health       Date:  2004-09       Impact factor: 9.308

3.  Health insurance coverage for vulnerable populations: contrasting Asian Americans and Latinos in the United States.

Authors:  Margarita Alegría; Zhun Cao; Thomas G McGuire; Victoria D Ojeda; Bill Sribney; Meghan Woo; David Takeuchi
Journal:  Inquiry       Date:  2006       Impact factor: 1.730

4.  How do the experiences of Medicare beneficiary subgroups differ between managed care and original Medicare?

Authors:  Marc N Elliott; Amelia M Haviland; Nate Orr; Katrin Hambarsoomian; Paul D Cleary
Journal:  Health Serv Res       Date:  2011-02-09       Impact factor: 3.402

5.  Effects of medicare part d on disparity implications of medication therapy management eligibility criteria.

Authors:  Junling Wang; Yanru Qiao; Ya-Chen Tina Shih; JoEllen Jarrett Jamison; Christina A Spivey; Liyuan Li; Jim Y Wan; Shelley I White-Means; Samuel Dagogo-Jack; William C Cushman; Marie Chisholm-Burns
Journal:  Am Health Drug Benefits       Date:  2014-09

6.  Health Benefits Mandates and Their Potential Impacts on Racial/Ethnic Group Disparities in Insurance Markets.

Authors:  Shana Alex Charles; Ninez Ponce; Dominique Ritley; Sylvia Guendelman; Jennifer Kempster; John Lewis; Joy Melnikow
Journal:  J Immigr Minor Health       Date:  2017-08

7.  Racial disparities in age at preventable hospitalization among U.S. Adults.

Authors:  Katie Brooks Biello; James Rawlings; Amy Carroll-Scott; Rosa Browne; Jeannette R Ickovics
Journal:  Am J Prev Med       Date:  2010-01       Impact factor: 5.043

8.  The Care Span: Lower Hispanic participation in Medicare Part D may reflect program barriers.

Authors:  Brian E McGarry; Robert L Strawderman; Yue Li
Journal:  Health Aff (Millwood)       Date:  2014-05       Impact factor: 6.301

9.  Perceived access to pediatric primary care by insurance status and race.

Authors:  A N Ortega; D C Stewart; S A Dowshen; S H Katz
Journal:  J Community Health       Date:  2000-12

10.  Racial/ethnic disparities in Medicare Part D experiences.

Authors:  Amelia M Haviland; Marc N Elliott; Robert Weech-Maldonado; Katrin Hambarsoomian; Nate Orr; Ron D Hays
Journal:  Med Care       Date:  2012-11       Impact factor: 2.983

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