Impact of health reform on health insurance status among persons who use opioids in eastern Kentucky: A prospective cohort analysis

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: Health insurance improves health and reduces mortality. Expanding insurance is a central feature of the Affordable Care Act (ACA). Persons who use drugs (PWUDs) have historically been at high risk of being uninsured. It is unknown if Appalachian PWUDs, who live in an extremely economically distressed region, are more likely to be insured since implementation of the ACA. Methods: Data from a cohort of 503 PWUDs from eastern Appalachian Kentucky, who were interviewed at seven time-points between 2008 and 2017, were analysed using mixed effects regression models. Results: At baseline, only 33.8% of participants were insured, which increased to 87.3% of the cohort at the last follow-up interview. The final multivariate model, which included baseline characteristics and interactions by time, indicated there were significant baseline differences in insurance status by gender, age, education, income, and history of injection. Differences in the predictive margin probabilities of being insured across these groups had dissipated by the final follow-up interview. Conclusions: After Kentucky's implementation of the ACA, this cohort of Appalachian PWUDs made substantial gains in obtaining insurance that far exceeded the increases reported in national studies.

Original languageEnglish
Pages (from-to)8-14
Number of pages7
JournalInternational Journal of Drug Policy
Volume70
DOIs
StatePublished - Aug 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • Affordable Care Act
  • Appalachia
  • Health insurance
  • Persons who use drugs

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Policy

Fingerprint

Dive into the research topics of 'Impact of health reform on health insurance status among persons who use opioids in eastern Kentucky: A prospective cohort analysis'. Together they form a unique fingerprint.

Cite this