Literature DB >> 25552759

Distribution of cardiovascular disease and associated risk factors by county type and health insurance status: results from the 2008 Ohio Family Health Survey.

Mbabazi Kariisa1, Eric Seiber2.   

Abstract

OBJECTIVES: Epidemiologic studies have documented a disproportionate burden of chronic diseases in Appalachia, showing the area to be underserved by the health-care system. Nothing is known about how the health status of the Appalachian population compares with other rural or non-rural populations in the same state. We examined the associations among county type, health insurance category, and health outcomes in poorer adult Ohioans.
METHODS: We obtained data from the 2008 Ohio Family Health Survey, a complex landline- and cell phone-based survey of 50,944 noninstitutionalized households. We constructed bivariate analyses examining health status measures across various insurance categories and metropolitan, suburban, rural, and Appalachian counties in Ohio.
RESULTS: Medicaid enrollees living in Appalachian and rural counties tended to be in poorer health and have a greater prevalence of smoking than non-Medicaid enrollees. Within rural and Appalachian regions, Medicaid enrollees were more likely than non-Medicaid enrollees to have lower self-rated health (54.8%, 95% confidence interval [CI] 44.1, 65.5 in rural regions and 52.1%, 95% CI 44.7, 59.5 in Appalachian regions). Appalachian and rural Medicaid enrollees were at an increased likelihood of having several chronic diseases compared with non-Medicaid enrollees.
CONCLUSION: Our findings suggest that rural and Ohio Appalachian Medicaid enrollees were more likely to have hypertension, cardiovascular disease, and overall poorer health than non-Medicaid enrollees. These findings have important policy implications for health-care reform, highlighting regional disparities in provider coverage. These underserved regions would need an increase in the provider base to positively impact proposed Medicaid expansion programs.

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Year:  2015        PMID: 25552759      PMCID: PMC4245290          DOI: 10.1177/003335491513000111

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


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