TY - JOUR
T1 - The Effects of State Medicaid Expansion on Low-Income Individuals' Access to Health Care
T2 - Multilevel Modeling
AU - Choi, Sunha
AU - Lee, Sungkyu
AU - Matejkowski, Jason
N1 - Publisher Copyright:
© Copyright 2018, Mary Ann Liebert, Inc. 2018.
PY - 2018/6
Y1 - 2018/6
N2 - This study aimed to examine how states' Medicaid expansion affected insurance status and access to health care among low-income expansion state residents in 2015, the second year of the expansion. Data from the 2012 and 2015 Behavioral Risk Factor Surveillance System were linked to state-level data. A nationally representative sample of 544,307 adults (ages 26-64 years) from 50 states and Washington, DC were analyzed using multilevel modeling. The results indicate substantial increases in health care access between 2012 and 2015 among low-income adults in Medicaid expansion states. The final conditional multilevel models with low-income adults who had income at or below 138% of the poverty line indicate that, after controlling for individual-and state-level covariates, those who resided in the Medicaid expansion states were more likely to have health insurance (OR = 1.97, P < .001), have a usual source of care (OR = 1.37, P < .01), and receive a routine checkup (OR = 1.24, P < .01), and were less likely to not see a doctor because of cost (OR = 0.66, P < .001) compared with low-income residents in non-expansion states in 2015. Moreover, the significant interaction terms indicate that adults living in non-expansion states with income below 100% of the poverty line are the most vulnerable compared with their counterparts in expansion states and with those with income between 100%-138% of the poverty line. This study demonstrates that state-level Medicaid expansion improved health care access among low-income US residents. However, residents with income below 100% of the poverty line in non-expansion states were disproportionately negatively affected by states' decision to not expand Medicaid coverage.
AB - This study aimed to examine how states' Medicaid expansion affected insurance status and access to health care among low-income expansion state residents in 2015, the second year of the expansion. Data from the 2012 and 2015 Behavioral Risk Factor Surveillance System were linked to state-level data. A nationally representative sample of 544,307 adults (ages 26-64 years) from 50 states and Washington, DC were analyzed using multilevel modeling. The results indicate substantial increases in health care access between 2012 and 2015 among low-income adults in Medicaid expansion states. The final conditional multilevel models with low-income adults who had income at or below 138% of the poverty line indicate that, after controlling for individual-and state-level covariates, those who resided in the Medicaid expansion states were more likely to have health insurance (OR = 1.97, P < .001), have a usual source of care (OR = 1.37, P < .01), and receive a routine checkup (OR = 1.24, P < .01), and were less likely to not see a doctor because of cost (OR = 0.66, P < .001) compared with low-income residents in non-expansion states in 2015. Moreover, the significant interaction terms indicate that adults living in non-expansion states with income below 100% of the poverty line are the most vulnerable compared with their counterparts in expansion states and with those with income between 100%-138% of the poverty line. This study demonstrates that state-level Medicaid expansion improved health care access among low-income US residents. However, residents with income below 100% of the poverty line in non-expansion states were disproportionately negatively affected by states' decision to not expand Medicaid coverage.
KW - access to health care
KW - Affordable Care Act
KW - Medicaid expansion
KW - uninsured
UR - http://www.scopus.com/inward/record.url?scp=85048162574&partnerID=8YFLogxK
U2 - 10.1089/pop.2017.0104
DO - 10.1089/pop.2017.0104
M3 - Article
C2 - 28953421
AN - SCOPUS:85048162574
SN - 1942-7891
VL - 21
SP - 235
EP - 244
JO - Population Health Management
JF - Population Health Management
IS - 3
ER -