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Health Insurance and Poverty in Trajectories of Out-of-Pocket Expenditure among Low-Income Middle-Aged Adults.


ABSTRACT: OBJECTIVE:To assess the effects of longitudinal patterns of health insurance and poverty on out-of-pocket expenditures among low-income late middle-aged adults. DATA SOURCES/STUDY SETTING:Six waves (2002-2012) of the Health and Retirement Study, in combination with RAND Center for the Study of Aging data, were used. STUDY DESIGN:A random coefficient regression analysis was conducted in a multilevel growth curve framework to estimate the impact of health insurance and poverty on out-of-pocket expenditures. PRINCIPAL FINDINGS:At baseline, individuals with private insurance or unstable coverage were more likely to have out-of-pocket expenditures and financial burdens than public insurance holders. Over time, the poor who had no insurance, unstable coverage, or insurance type change had higher out-of-pocket expenditures; private coverage holders had higher odds of financial burden. CONCLUSIONS:Unstable insurance coverage had a discernible effect on the long-term, out-of-pocket expenditures among low-income adults. Findings have an important policy implication to protect poor late middle-aged population; as this population enters old age, the high financial burden it faces may exacerbate persistent socioeconomic health disparity among older people with unstable insurance coverage.

SUBMITTER: Kwon E 

PROVIDER: S-EPMC6232446 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Health Insurance and Poverty in Trajectories of Out-of-Pocket Expenditure among Low-Income Middle-Aged Adults.

Kwon Eunsun E   Park Sojung S   McBride Timothy D TD  

Health services research 20180516 6


<h4>Objective</h4>To assess the effects of longitudinal patterns of health insurance and poverty on out-of-pocket expenditures among low-income late middle-aged adults.<h4>Data sources/study setting</h4>Six waves (2002-2012) of the Health and Retirement Study, in combination with RAND Center for the Study of Aging data, were used.<h4>Study design</h4>A random coefficient regression analysis was conducted in a multilevel growth curve framework to estimate the impact of health insurance and povert  ...[more]

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