Medical Debt and Cardiovascular Disease: An AI-Conducted Narrative Evidence Synthesis

Introduction

Cardiovascular disease (CVD) remains the leading cause of death in the United States, and its management increasingly imposes substantial financial burden on patients. Out-of-pocket costs for cardiovascular care — including hospitalizations, procedures, and long-term guideline-directed medical therapy — have risen even as the prevalence of high-deductible insurance plans and underinsurance has grown. When patients cannot absorb these costs, the result is often medical debt: unpaid medical bills that go to collections, damage credit, and create durable financial strain.

Medical debt has traditionally been studied as a consequence of poor health and high-cost illness. A growing body of evidence now treats it as a determinant of health as well, with a bidirectional and self-reinforcing relationship to cardiovascular disease: CVD produces medical debt through direct treatment costs, and medical debt in turn worsens cardiovascular risk and outcomes through psychosocial stress, cost-related nonadherence, and delayed care. This review synthesizes the available evidence on that relationship, covering (1) the prevalence of medical debt and financial toxicity among people with CVD, (2) evidence that debt and financial strain predict incident CVD and cardiovascular mortality, (3) proposed biological and behavioral mechanisms, (4) disparities in the distribution of this burden, and (5) policy interventions shown to modify it.

Methods

This is a narrative, systematically structured review rather than a formally registered PRISMA-compliant systematic review or meta-analysis. Evidence was identified through targeted searches of the peer-reviewed literature (PubMed/PMC-indexed journals, JAMA Network Open, Circulation and its subjournals, the Journal of the American Heart Association, the American Journal of Preventive Medicine, the Milbank Quarterly) and relevant gray literature (Urban Institute, Health Affairs, American Heart Association policy materials), conducted in August 2026. Search terms combined "medical debt," "financial toxicity," "financial strain," and "financial hardship" with "cardiovascular disease," "heart disease," "myocardial infarction," "heart failure," and "mortality." Priority was given to nationally representative survey studies (e.g., National Health Interview Survey [NHIS], Behavioral Risk Factor Surveillance System [BRFSS]), large prospective cohorts (e.g., Multi-Ethnic Study of Atherosclerosis, Jackson Heart Study, UK Biobank), and population-level administrative-data studies. Because this was not a dual-reviewer, protocol-registered systematic search of multiple databases with a documented PRISMA flow diagram, it should be read as a rapid evidence synthesis; a formal systematic review or meta-analysis on this topic would require prospective registration (e.g., PROSPERO), a comprehensive multi-database search strategy, independent dual screening, and formal risk-of-bias assessment.

Prevalence of Medical Debt and Financial Toxicity Among People With Cardiovascular Disease

Financial toxicity — the economic hardship arising from out-of-pocket costs, indirect costs, and medical debt — is highly prevalent among people with CVD. A 2025 systematic review and Bayesian meta-analysis pooling 30 studies and over one million patients with cardiovascular disease found that catastrophic health expenditure exceeding 40% of out-of-pocket spending affected roughly a quarter to a third of patients depending on the analytic approach, that difficulty paying medical bills was reported by nearly half of patients, and that 16–17% were unable to meet medical expenses at all. Consistent predictors of financial toxicity included lack of insurance, low income, rural residence, younger age, longer hospitalization, and procedurally intensive treatment.

National survey data corroborate this picture. Using NHIS data from 2013–2017, one analysis found that 45% of non-elderly U.S. adults with atherosclerotic cardiovascular disease (ASCVD) — an estimated 3.9 million people — reported financial hardship from medical bills, including one in five who were in families receiving medical bills they could not afford to pay. A related NHIS-based analysis of the same period found that roughly 31% of adults with ASCVD reported any difficulty paying medical bills, with elevated burden among non-elderly, low-income, and racial/ethnic minority subgroups. A separate NHIS analysis examining the cumulative burden of financial hardship across diabetes and ASCVD found that hardship compounds as comorbidity accumulates. Claims-based analyses of Blue Cross Blue Shield data similarly show that medical debt in collections rises sharply with comorbidity burden, with congestive heart failure among the conditions associated with the largest incremental increase in debt.

Among patients specifically managing heart failure, out-of-pocket costs are substantial and rising: annual total healthcare expenditures for heart failure patients are several times higher than for those without the condition, and a meaningful share of families with a heart failure diagnosis spend more than one-fifth of disposable income on healthcare, rising to roughly one in four among low-income families.

Medical Debt and Financial Strain as Predictors of Cardiovascular Risk, Incidence, and Mortality

Beyond documenting that CVD produces financial hardship, several studies provide evidence for the reverse and reinforcing pathway — that debt and financial strain independently predict worse cardiovascular outcomes.

County-level mortality

The most direct population-level evidence comes from a 2024 cross-sectional study published in JAMA Network Open, which linked Urban Institute Debt in America credit-bureau data with county-level health surveillance data across 2,943 U.S. counties. On average, 19.8% of the population in a county carried medical debt in collections. After adjustment for county sociodemographic characteristics, each one-percentage-point increase in the share of a county's population with medical debt was associated with roughly 18 additional physically and mentally unhealthy days per 1,000 residents per month, about 1.12 years of life lost per 1,000 residents, and a 7.51 per 100,000 person-year increase in age-adjusted all-cause mortality. The association held consistently across leading causes of death, including heart disease, with heart disease showing one of the largest cause-specific mortality increments (1.39 per 100,000 person-years) among the causes examined. Counties with the highest medical debt burden clustered in the South and Southwest, particularly Texas, Louisiana, Georgia, Tennessee, South Carolina, North Carolina, and West Virginia.

Cohort evidence on subjective financial strain

Independent of debt in collections, the subjective experience of financial strain has been linked to cardiovascular outcomes. A cross-sectional analysis of the Multi-Ethnic Study of Atherosclerosis (MESA), comprising over 6,000 adults aged 45–84 free of CVD at baseline, found that a greater number of financial stressors was associated with progressively lower odds of ideal cardiovascular health, consistent with prior findings from the Women's Health Study showing that one, two, or three-or-more financial stressors were associated with 32%, 50%, and 77% lower odds, respectively, of ideal cardiovascular health. A 2026 preprint analysis of U.S. adults aged 50 and older similarly examined subjective financial strain as a predictor of incident heart disease, framing chronic financial strain as a driver of allostatic load through sustained neuroendocrine and inflammatory activation. In the Jackson Heart Study, a cohort of Black Americans, participants reporting moderate-to-high financial stress had a higher incidence of coronary heart disease after accounting for socioeconomic status.

Debt accumulation across the life course

Longitudinal cohort data also link debt accumulation earlier in life to later cardiovascular risk. An analysis of a U.S. cohort followed from 1994 to 2018 found that adults whose households became newly indebted with student loans, or remained persistently indebted, between young adulthood and early mid-life had higher 30-year Framingham cardiovascular risk scores and higher C-reactive protein levels than those who were never in debt or who had repaid their loans. A related analysis of the Health and Retirement Study, examining adults aged 50–80 carrying outstanding education debt (averaging roughly $40,000), found higher odds of diabetes, hypertension, and obesity — established cardiovascular risk factors — among indebted older adults, though not higher odds of smoking.

Proposed Mechanisms

Two broad, non-exclusive mechanistic pathways are proposed to link medical debt and financial strain to cardiovascular disease.

Psychosocial stress and allostatic load

Financial strain is conceptualized as a chronic psychosocial stressor capable of producing allostatic load — the cumulative physiological wear from repeated or sustained activation of the hypothalamic-pituitary-adrenal (HPA) axis and sympathetic nervous system. Sustained neuroendocrine activation promotes a pro-inflammatory leukocyte profile, oxidative stress, and endothelial dysfunction, plausible pro-atherogenic pathways toward cardiovascular disease. In the UK Biobank, a prospective cohort of over 200,000 adults free of CVD at baseline, higher composite allostatic load scores were associated with a graded, dose-dependent increase in incident cardiovascular disease risk, with the highest-scoring group carrying roughly double the risk of the lowest-scoring group; inflammatory biomarkers partially mediated this association. While this evidence establishes allostatic load broadly as a cardiovascular risk pathway, financial strain specifically — including strain arising from medical debt — is one of the recognized chronic stressors theorized to feed into this pathway, alongside discrimination, housing instability, and caregiving burden.

Behavioral and access pathways

A second, more directly documented pathway runs through healthcare-seeking behavior. Patients burdened by medical debt or unable to afford medical bills are substantially more likely to report cost-related medication nonadherence (skipping doses, taking less medication than prescribed, or delaying filling prescriptions to save money), financial distress more broadly, and food insecurity. Among people with ASCVD in NHIS data, roughly one in eight reported cost-related medication nonadherence, and inability to pay medical bills was associated with markedly higher odds of cost-related nonadherence, financial distress, and food insecurity. A separate multiyear NHIS analysis (2000–2014) linked cost-related nonadherence directly to elevated disease-specific mortality among people with chronic cardiovascular and metabolic disease. In heart failure specifically, rising out-of-pocket costs for guideline-directed therapies (e.g., angiotensin receptor-neprilysin inhibitors, SGLT2 inhibitors) have been associated with nonadherence, and higher copayments have been directly associated with higher rates of medication nonfilling in a dose-response pattern. Because guideline-directed medical therapy meaningfully reduces cardiovascular morbidity and mortality, cost-driven nonadherence represents a mechanistically direct route from medical debt to worse cardiovascular outcomes, distinct from — and likely additive to — the stress/allostatic-load pathway.

Disparities in the Distribution of Medical Debt-Related Cardiovascular Risk

The cardiovascular burden of medical debt is not evenly distributed. Urban Institute analyses of credit-bureau data find that adults living in communities where the majority of residents are people of color are more likely to carry medical debt in collections, and Black adults in particular are more likely to report difficulty affording family medical expenses. These disparities compound existing, well-documented racial and ethnic disparities in cardiovascular disease prevalence, access to care, and mortality, which have been attributed in the literature to structural social determinants of health — economic stability, neighborhood environment, education, and healthcare system factors — operating on top of, and reinforced by, direct effects of medical debt. A Health Affairs policy brief examining consumer debt, race, and health frames medical debt as a signal of underlying health status and structural disadvantage rather than of individual financial choices, and discusses ongoing changes to medical debt credit-reporting practices intended to reduce this compounding harm, particularly for Black, Hispanic, Asian or Pacific Islander, American Indian or Alaska Native, and multiracial populations. Lower-income households, rural residents, younger adults, and the uninsured or underinsured are also consistently identified across the reviewed literature as subgroups facing disproportionate financial toxicity and its downstream cardiovascular consequences.

Policy Interventions

The clearest population-level policy lever identified in this literature is expansion of insurance coverage, particularly Medicaid expansion under the Affordable Care Act. A systematic review of 30 studies published between 2014 and 2022 found that Medicaid expansion was generally associated with increased insurance coverage for cardiac treatment, improvements in cardiac outcomes outside the acute-care setting, and reductions in disparities in cardiac care access, alongside prior evidence connecting expansion to reduced financial strain and bankruptcy among patients. A difference-in-differences analysis of more than three million non-Medicare hospitalizations found that expansion states saw a significant reduction in uninsured hospitalizations for major cardiovascular events within a year of expansion relative to non-expansion states, although in-hospital mortality rates did not differ. A 2025 Milbank Quarterly cost-effectiveness analysis estimated that Medicaid expansion among non-elderly adults was associated with reductions of roughly 11 myocardial infarctions, 8 strokes, and 4 cardiovascular deaths per 100,000 person-years relative to non-expansion, with the largest reductions concentrated among lower-income and socioeconomically disadvantaged populations, and found expansion to be broadly cost-effective and equity-enhancing, albeit with substantial statistical uncertainty. Beyond direct cardiovascular outcomes, Medicaid expansion coverage has also been associated with greater reductions in average out-of-pocket spending relative to subsidized marketplace coverage, and with reductions in the average size and prevalence of medical debt — directly addressing the upstream exposure this review is concerned with.

Discussion

Taken together, the reviewed evidence supports a coherent, if still incompletely mechanistically resolved, picture: medical debt and financial hardship are both a downstream consequence of cardiovascular disease and an upstream contributor to it. The relationship appears to operate through at least two pathways — a psychosocial/allostatic-load pathway acting on neuroendocrine and inflammatory systems, and a behavioral/access pathway acting through cost-related nonadherence and delayed or foregone care — and the evidence for the behavioral pathway is currently more direct and better quantified than the evidence specifically isolating financial strain (as opposed to allostatic load broadly) as a driver of the stress pathway. The burden falls disproportionately on populations already carrying higher cardiovascular risk: Black and Hispanic adults, low-income households, rural residents, and the uninsured, suggesting that medical debt functions as both a marker and a mechanism of cardiovascular health inequity. Encouragingly, the Medicaid expansion literature offers reasonably strong quasi-experimental (difference-in-differences) evidence that a specific, implementable policy lever — expanding insurance coverage — reduces both the financial exposure (medical debt, out-of-pocket spending, bankruptcy) and, plausibly through that pathway among others, cardiovascular morbidity and mortality.

Limitations

This synthesis has several limitations. First, it is a narrative review structured to resemble a systematic review, not a formally registered, PRISMA-compliant systematic review or meta-analysis; it did not employ a prospectively registered protocol, a fully reproducible multi-database search string, independent dual-reviewer screening, or formal risk-of-bias/GRADE certainty assessment, and a definitive quantitative pooling of effect sizes was outside its scope. Second, the great majority of underlying studies are observational — cross-sectional survey data (NHIS, BRFSS), cross-sectional or ecological county-level data, or prospective cohorts with a relatively small number of true natural-experiment (difference-in-differences) designs — so causal inference is constrained by the possibility of residual confounding and reverse causation (i.e., subclinical or clinical cardiovascular disease itself may drive both debt and reported financial strain). Third, most nationally representative data are U.S.-specific, given the distinctive structure of U.S. out-of-pocket healthcare financing; generalizability to other health systems is limited. Fourth, some sources synthesized here are secondary (news coverage, policy briefs, a student-authored review) rather than original peer-reviewed primary research, and were included for context rather than as primary evidence.

Conclusion

Medical debt is increasingly recognized as a social determinant of cardiovascular health rather than merely a downstream financial consequence of it. Across national surveys, county-level administrative linkage studies, and prospective cohorts, financial hardship from medical bills is associated with higher cardiovascular risk factor burden, cost-related medication nonadherence, worse cardiovascular health, and elevated cardiovascular and all-cause mortality, through plausible stress-related and behavioral mechanisms. This burden disproportionately affects Black and Hispanic adults, low-income and rural populations, and residents of states that have not expanded Medicaid. Policies that reduce uninsurance and out-of-pocket exposure — Medicaid expansion foremost among the evidence reviewed here — are associated with reductions in both medical debt and adverse cardiovascular outcomes, positioning coverage expansion and medical debt relief as plausible levers for reducing cardiovascular disease burden and narrowing cardiovascular health disparities. Future work meeting full PRISMA/PROSPERO systematic review standards, along with additional natural-experiment and longitudinal designs isolating financial strain from allostatic load and from cardiovascular disease severity itself, would help clarify causal pathways and the magnitude of effect.

Figure 1. Literature search and selection flow

*Records identified through targeted web searches (n=59), duplicates removed (n=22), unique records screened for relevance (n=37), records excluded as off-topic (n=13), sources included in this narrative synthesis (n=24).*

Figure 2. Conceptual model: medical debt and cardiovascular disease

*Medical debt and financial hardship act through two reinforcing pathways — psychosocial stress/allostatic load and behavioral/access barriers (including cost-related medication nonadherence) — toward cardiovascular disease risk, incidence, and mortality. Disparities by race, income, and geography amplify medical debt exposure. Medicaid expansion functions as a policy lever that reduces medical debt and, in turn, cardiovascular risk (dashed feedback arrow).*

Table 1. Key studies on medical debt, financial hardship, and cardiovascular disease

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