Evidence map›Paper›PMID 36112374›Full record

ArticleJAMA network open2022

Prevalence and Risk Factors for Medical Debt and Subsequent Changes in Social Determinants of Health in the US.

David U Himmelstein, Samuel L Dickman, Danny McCormick, David H Bor, Adam Gaffney, Steffie Woolhandler

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
21.1field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 83 citations in OpenAlex.

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  4. Price Transparency and Patient Empowerment.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  5. Confronting the Immoral Hazard of Medical Debt in America.Journal of general internal medicine · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

David U HimmelsteinThe City University of New York at Hunter College, New York, New York.
Samuel L DickmanPlanned Parenthood of Montana, Billings.
Danny McCormickDepartment of Medicine, Cambridge Health Alliance, Cambridge, Massachusetts.
David H BorDepartment of Medicine, Cambridge Health Alliance, Cambridge, Massachusetts.
Adam GaffneyDepartment of Medicine, Cambridge Health Alliance, Cambridge, Massachusetts.
Steffie WoolhandlerThe City University of New York at Hunter College, New York, New York.
Cambridge Health Alliance · USHarvard University · USHunter College · USPlanned Parenthood · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Cost barriers discourage many US residents from seeking medical care and many who obtain it experience financial hardship. However, little is known about the association between medical debt and social determinants of health (SDOH). Objective: To determine the prevalence of and risk factors associated with medical debt and the association of medical debt with subsequent changes in the key SDOH of food and housing security. Design, Setting, and Participants: Cross-sectional analyses using multivariable logistic regression models controlled for demographic, financial, insurance, and health-related factors, and prospective cohort analyses assessing changes over time using the 2018, 2019, and 2020 Surveys of Income and Program Participation. Participants were nationally representative samples of US adults surveyed for 1 to 3 years. Exposures: Insurance-related and health-related characteristics as risk factors for medical debt; Newly incurred medical debt as a risk factor for deterioration in SDOHs. Main Outcomes and Measures: Prevalence and amounts of medical debt; 4 SDOHs: inability to pay rent or mortgage or utilities; eviction or foreclosure; and food insecurity. Results: Among 51 872 adults surveyed regarding 2017, 40 784 regarding 2018 and 43 220 regarding 2019, 51.6% were female, 16.8% Hispanic, 6.0% were non-Hispanic Asian, 11.9% non-Hispanic Black, 62.6% non-Hispanic White, and 2.18% other non-Hispanic. A total of 10.8% (95% CI, 10.6-11.0) of individuals and approximately 18.1% of households carried medical debt. Persons with low and middle incomes had similar rates: 15.3%; (95% CI,14.4-16.2) of uninsured persons had debt, as did 10.5% (95% CI, 10.2-18.8) of the privately-insured. In 2018 the mean medical debt was $21 687/debtor (median $2000 [IQR, $597-$5000]). In cross-sectional analyses, hospitalization, disability, and having private high-deductible, Medicare Advantage, or no coverage were risk factors associated with medical indebtedness; residing in a Medicaid-expansion state was protective (2019 odds ratio [OR], 0.76; 95% CI, 0.70-0.83). Prospective findings were similar, eg, losing insurance coverage between 2017 and 2019 was associated with acquiring medical debt by 2019 (OR, 1.63; 95% CI, 1.23-2.14), as was becoming newly disabled (OR, 2.42; 95% CI, 1.95-3.00) or newly hospitalized (OR, 2.95; 95% CI, 2.40-3.62). Acquiring medical debt between 2017 and 2019 was a risk factor associated with worsening SDOHs, with ORs of 2.20 (95% CI,1.58-3.05) for becoming food insecure; 2.29 (95% CI, 1.73-3.03) for losing ability to pay rent or mortgage; 2.37 (95% CI, 1.75-3.23) for losing ability to pay utilities; and 2.95 (95% CI, 1.38-6.31) for eviction or foreclosure in 2019. Conclusions and Relevance: In this cross-sectional and cohort study, medical indebtedness was common, even among insured individuals. Acquiring such debt may worsen SDOHs. Expanded and improved health coverage could ameliorate financial distress, and improve housing and food security.

Indexed as

MedicareSocial Determinants of HealthAdultAgedCohort StudiesCross-Sectional StudiesFemaleHumansMalePrevalenceProspective StudiesRisk FactorsUnited States

Identifiers

PMID36112374
PMCPMC9482049
OpenAlexW4296032892

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.