Evidence map›Paper›PMID 38436960›Full record

ArticleJAMA network open2024

Associations of Medical Debt With Health Status, Premature Death, and Mortality in the US.

Xuesong Han, Xin Hu, Zhiyuan Zheng, Kewei Sylvia Shi, K Robin Yabroff

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Confronting the Immoral Hazard of Medical Debt in America.Journal of general internal medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A galvanizing event to promote improving health insurance.Journal of pediatric rehabilitation medicine · 2025
    Article
  13. Article
  14. Review
  15. Insights on Improving Health Insurance Literacy in Diabetes.The Journal of clinical endocrinology and metabolism · 2025
    Review
  16. Healthcare debts in the United States: a silent fight.Annals of medicine and surgery (2012) · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Xuesong HanSurveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.
Xin HuSurveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.
Zhiyuan ZhengSurveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.
Kewei Sylvia ShiSurveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.
K Robin YabroffSurveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Medical debt is increasingly common in the US. Little is known regarding its association with population health. Objective: To examine the associations of medical debt with health status, premature death, and mortality at the county level in the US. Design, Setting, and Participants: This cross-sectional study was conducted at the US county level using 2018 medical debt data from the Urban Institute Debt in America project linked with 2018 data on self-reported health status and premature death from the County Health Rankings & Roadmaps and with 2015 to 2019 mortality data from the National Center for Health Statistics. Data analysis was performed from August 2022 to May 2023. Exposure: Share of population with any medical debt in collections and median amount of medical debt. Main Outcomes and Measures: Health status was measured as (1) the mean number of physically and mentally unhealthy days in the past 30 days per 1000 people, (2) the mean number of premature deaths measured as years of life lost before age 75 years per 1000 people, and (3) age-adjusted all-cause and 18 cause-specific mortality rates (eg, malignant cancers, heart disease, and suicide) per 100 000 person-years. Multivariable linear models were fitted to estimate the associations between medical debt and health outcomes. Results: A total of 2943 counties were included in this analysis. The median percentage of the county population aged 65 years or older was 18.3% (IQR, 15.8%-20.9%). Across counties, a median 3.0% (IQR, 1.2%-11.9%) of the population were Black residents, 4.3% (IQR, 2.3%-9.7%) were Hispanic residents, and 84.5% (IQR, 65.7%-93.3%) were White residents. On average, 19.8% (range, 0%-53.6%) of the population had medical debt. After adjusting for county-level sociodemographic characteristics, a 1-percentage point increase in the population with medical debt was associated with 18.3 (95% CI, 16.3-20.2) more physically unhealthy days and 17.9 (95% CI, 16.1-19.8) more mentally unhealthy days per 1000 people during the past month, 1.12 (95% CI, 1.03-1.21) years of life lost per 1000 people, and an increase of 7.51 (95% CI, 6.99-8.04) per 100 000 person-years in age-adjusted all-cause mortality rate. Associations of medical debt and elevated mortality rates were consistent for all leading causes of death, including cancer (1.12 [95% CI, 1.02-1.22]), heart disease (1.39 [95% CI, 1.21-1.57]), and suicide (0.09 [95% CI, 0.06-0.11]) per 100 000 person-years. Similar patterns were observed for associations between the median amount of medical debt and the aforementioned health outcomes. Conclusions and Relevance: These findings suggest that medical debt is associated with worse health status, more premature deaths, and higher mortality rates at the county level in the US. Therefore, policies increasing access to affordable health care, such as expanding health insurance coverage, may improve population health.

Indexed as

Heart DiseasesMortality, PrematureAcademies and InstitutesAgedBlack or African AmericanBlack PeopleCross-Sectional StudiesHealth StatusHumansUnited States

Identifiers

PMID38436960
PMCPMC10912961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.