Insurance patterns and instability from 2006 to 2016
Abstract Background There is a rich literature on insurance coverage and its impacts on health care. Many recent studies have examined the impacts of the Affordable Care Act (ACA) and found that it had positive effects on health insurance coverage and health care usage. Most of the literature, howev...
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doaj-707faaa2892645f7ac1eaab27047df792020-11-25T03:14:11ZengBMCBMC Health Services Research1472-69632020-04-0120111210.1186/s12913-020-05226-1Insurance patterns and instability from 2006 to 2016Yunwei Gai0Kent Jones1Economics Division, Babson CollegeEconomics Division, Babson CollegeAbstract Background There is a rich literature on insurance coverage and its impacts on health care. Many recent studies have examined the impacts of the Affordable Care Act (ACA) and found that it had positive effects on health insurance coverage and health care usage. Most of the literature, however, has focused on insurance coverage at a single point in time, while research on insurance instability is underrepresented, even though it could significantly impact health outcomes. The aim of this study is to examine changes and implications of insurance instability among nonelderly adults from 2006 to 2016, covering the Great Recession and post-ACA periods. Methods Using 2006-to-2016 Medical Expenditure Panel Survey data, we identify seven insurance patterns and analyze them by race/ethnicity, age, geography, income, and medical conditions. We then use multivariable linear models to analyze the relationship between insurance instability and health care status, access, and utilization. Logistic, Poisson and nonlinear models test the robustness of our results. Results The post-ACA period 2015–2016 saw the lowest ever-uninsured rate (25.68% or 67.91 million). The largest decrease in insurance instability was among adults aged 19–25, low-income families, Hispanics, the western population, and the healthy population. Like the always-uninsured, those with other insurance gaps experienced a lack of access to care and decreased preventive care and other services. Conclusions Despite the post-ACA instability reduction, over 25% of the U.S. population continued to have insurance gaps over a two-year period. Disparities continued to exist between income groups, race/ethnicities, and regions. Repealing ACA could exacerbate insurance instability and disparities between different groups, which in turn could lead to adverse health outcomes.http://link.springer.com/article/10.1186/s12913-020-05226-1Insurance instabilityAffordable care actMedical expenditure panel surveyHealth insurance disparitiesHealth care utilization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yunwei Gai Kent Jones |
spellingShingle |
Yunwei Gai Kent Jones Insurance patterns and instability from 2006 to 2016 BMC Health Services Research Insurance instability Affordable care act Medical expenditure panel survey Health insurance disparities Health care utilization |
author_facet |
Yunwei Gai Kent Jones |
author_sort |
Yunwei Gai |
title |
Insurance patterns and instability from 2006 to 2016 |
title_short |
Insurance patterns and instability from 2006 to 2016 |
title_full |
Insurance patterns and instability from 2006 to 2016 |
title_fullStr |
Insurance patterns and instability from 2006 to 2016 |
title_full_unstemmed |
Insurance patterns and instability from 2006 to 2016 |
title_sort |
insurance patterns and instability from 2006 to 2016 |
publisher |
BMC |
series |
BMC Health Services Research |
issn |
1472-6963 |
publishDate |
2020-04-01 |
description |
Abstract Background There is a rich literature on insurance coverage and its impacts on health care. Many recent studies have examined the impacts of the Affordable Care Act (ACA) and found that it had positive effects on health insurance coverage and health care usage. Most of the literature, however, has focused on insurance coverage at a single point in time, while research on insurance instability is underrepresented, even though it could significantly impact health outcomes. The aim of this study is to examine changes and implications of insurance instability among nonelderly adults from 2006 to 2016, covering the Great Recession and post-ACA periods. Methods Using 2006-to-2016 Medical Expenditure Panel Survey data, we identify seven insurance patterns and analyze them by race/ethnicity, age, geography, income, and medical conditions. We then use multivariable linear models to analyze the relationship between insurance instability and health care status, access, and utilization. Logistic, Poisson and nonlinear models test the robustness of our results. Results The post-ACA period 2015–2016 saw the lowest ever-uninsured rate (25.68% or 67.91 million). The largest decrease in insurance instability was among adults aged 19–25, low-income families, Hispanics, the western population, and the healthy population. Like the always-uninsured, those with other insurance gaps experienced a lack of access to care and decreased preventive care and other services. Conclusions Despite the post-ACA instability reduction, over 25% of the U.S. population continued to have insurance gaps over a two-year period. Disparities continued to exist between income groups, race/ethnicities, and regions. Repealing ACA could exacerbate insurance instability and disparities between different groups, which in turn could lead to adverse health outcomes. |
topic |
Insurance instability Affordable care act Medical expenditure panel survey Health insurance disparities Health care utilization |
url |
http://link.springer.com/article/10.1186/s12913-020-05226-1 |
work_keys_str_mv |
AT yunweigai insurancepatternsandinstabilityfrom2006to2016 AT kentjones insurancepatternsandinstabilityfrom2006to2016 |
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