IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0278414.html
   My bibliography  Save this article

Changes in coverage among non-elderly adults with chronic diseases following Affordable Care Act implementation

Author

Listed:
  • John D Goodson
  • Sara Shahbazi
  • Zirui Song

Abstract

Importance: Changes in insurance coverage after the Affordable Care Act (ACA) among non-elderly adults with self-reported chronic conditions across income categories have not been described. Objective: To examine changes in insurance coverage after the ACA among non-elderly adults with chronic conditions across income categories, by geographic region. Design: We compared self-reported access to health insurance pre-ACA (2010-2013) and post-ACA (2014-2017) for individuals 18-64 years of age with ≥ 2 chronic conditions, including hypertension, heart disease/stroke, emphysema, diabetes, asthma, cancer, and arthritis, across regions using a logistic regression approach, adjusted for covariates. We also assessed U.S. Census regional differences in insurance coverage post-ACA using modified Poisson regression models with robust variance and calculated the risk ratio (RR) of being uninsured by region, with the Northeast as the reference category. Within each region, we then examined changes in insurance coverage by income level among non-elderly individuals with any chronic condition. Setting: 2010–2017 household component of the nationally representative Medical Expenditure Panel Survey (MEPS). Participants: All members of surveyed households during five interviews over a two-year period. Intervention: Start of insurance coverage expansion under the ACA. Main outcomes: Health insurance status. Results: On average nationwide, non-elderly adults with self-reported chronic conditions experienced increased insurance coverage associated with the ACA (diabetes: +6.41%, high-blood pressure: +6.09%, heart disease: +6.50%, asthma: +6.37%, arthritis: +6.77%, and ≥ 2 chronic conditions: +6.39%). Individuals in the West region reported the largest increases (diabetes +9.71%, high blood pressure +8.10%, and heart disease/stroke +8.83 %, asthma +9.10%, arthritis +8.39%, and ≥ 2 chronic conditions +8.58). In contrast, individuals in the South region reported smaller increases in insurance coverage post-ACA among those with diabetes, heart disease/stroke, and asthma compared to the Midwest and West. The Northeast region, which had the highest levels of insurance coverage pre-ACA, exhibited the smallest increase in reported coverage post-ACA. Reported insurance coverage improved across all regions for adults with any chronic condition across income levels, most notably for very low- and low-income individuals. A further cross-sectional comparison after the ACA demonstrated important residual differences in insurance coverage, despite the gains in all regions. When compared to the Northeast, adults with any self-reported chronic conditions living in the South were more likely to report no insurance coverage (diabetes: RR 1.99, p-value

Suggested Citation

  • John D Goodson & Sara Shahbazi & Zirui Song, 2022. "Changes in coverage among non-elderly adults with chronic diseases following Affordable Care Act implementation," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-13, November.
  • Handle: RePEc:plo:pone00:0278414
    DOI: 10.1371/journal.pone.0278414
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0278414
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0278414&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0278414?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adrianna McIntyre & Zirui Song, 2019. "The US Affordable Care Act: Reflections and directions at the close of a decade," PLOS Medicine, Public Library of Science, vol. 16(2), pages 1-3, February.
    2. Daniel Newman & Michelle Tong & Erica Levine & Sandeep Kishore, 2020. "Prevalence of multiple chronic conditions by U.S. state and territory, 2017," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0278414. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.