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Completed NON-SBIR/STTR RPGS NIH (US)

Immigration and Health

$843K USD

Funder EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Recipient Organization Columbia University New York Morningside
Country United States
Start Date Feb 15, 2021
End Date Jan 31, 2024
Duration 1,080 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10349547
Grant Description

Abstract The objective of our proposal is to investigate the causal effect of health insurance coverage on healthcare utilization, health behavior, and health of immigrants living in the United States. We take advantage of a policy-induced increase in insurance coverage of approximately 27% among non-elderly immigrants

between 2011-2013 and 2015-2018 and investigate its impact on a wide range of indicators of healthcare utilization, health behavior, and health of immigrants. The Affordable Care Act (ACA) expanded Medicaid eligibility to adults with incomes below 138% of the poverty line, but not all states complied with the federal law

and those that did differed in timing and degree of expansion prior to 2014. Our research strategy relies on the increase in health insurance of immigrants resulting from the timing of expansion in Medicaid eligibility across states. Five key features distinguish our proposal from previous research: one, the increase in insurance we

study is much larger than those in previous research based on similar natural experiments. Two, we will cover five years of the post-implementation phase for most outcomes. Extant studies on the effect of ACA on the general population are based on data from one or two years after its implementation, therefore have failed to

capture long-term effects. Three, we will investigate if vulnerable groups, e.g. older, with chronic conditions prior to ACA, were differently affected by health insurance coverage. Fourth, we will draw inferences on the links between routine/preventive medical care use and extreme health outcomes such as emergency room

visits and hospitalizations. Five, we propose to use longitudinal data to identify more vulnerable populations (e.g. those with preexisting conditions. Further, for several outcomes, we will use longitudinal data to follow the same individuals pre-to-post ACA expansion and compare changes in medical care use (and health) of those

who experiened a change in insurance status to those who did not. Our empirical analyses will be based primarily on three datasets: the National Health Interview Survey, 2011–2018; Medical Expenditure Panel Survey, 2011–2018; NHIS linked Mortality file, 2000–2016. ACA is highly controversial and its impact on immigrant insurance coverage and healthcare use is widely criticized.

Yet, few scientific studies have measured its impacts on immigrants. Our proposed research will bridge this knowledge gap and improve scientific knowledge of the impact of this landmark legislation on the well-being of a highly vulnerable population.

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Columbia University New York Morningside

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