Cumulative Burden of Financial Hardship From Medical Bills Across the Spectrum of Diabetes Mellitus and Atherosclerotic Cardiovascular Disease Among Non-Elderly Adults in the United States

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study

BACKGROUND AND AIMS

Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D).

METHODS

Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders.

RESULTS

High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results.

CONCLUSIONS

Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Cost and non-cost factors associated with delays in receiving medical care in adults with atherosclerotic cardiovascular disease

INTRODUCTION

The study aims to compare cost and non-cost factors associated with delays in receiving medical care in adults with atherosclerotic cardiovascular disease (ASCVD).

METHODS

Using 2014-2018 data from the Centers for Disease Control and Prevention (CDC) Behaviour Risk Factor Surveillance System (BRFSS) survey (N = 508,203), multivariate logistic regression models were developed to compute the adjusted odds ratio of reasons for delays in medical care in adults with ASCVD.

RESULTS

Our study population of 61,227 adults with ASCVD (9.1%) had higher odds of any medical care delay (aOR 1.50, 95% CI 1.43-1.57), delay due to cost (aOR 1.55, 95% CI 1.45-1.65), long clinic wait times (aOR 1.21, 95% CI 1.04-1.39) and lack of transportation (aOR 1.64, 95% CI 1.47-1.84) than those without ASCVD.

CONCLUSION

Novel public health and health policy approaches are urgently needed to reduce the cost- and non-cost-related barriers that adults with ASCVD encounter when accessing healthcare services.

Economic burden of atherosclerotic cardiovascular disease: a matched case-control study in more than 450,000 Swedish individuals

AIM

To examine direct and indirect costs, early retirement, cardiovascular events and mortality over 5 years in people with atherosclerotic cardiovascular disease (ASCVD) and matched controls in Sweden.

METHODS

Individuals aged ≥ 16 years living in Sweden on 01 January 2012 were identified in an existing database. Individuals with ASCVD were propensity score matched to controls without ASCVD by age, sex and educational status. We compared direct healthcare costs (inpatient, outpatient and drug costs), indirect costs (resulting from work absence) and the risk of stroke, myocardial infarction (MI) and early retirement.

RESULTS

After matching, there were 231,417 individuals in each cohort. Total mean per-person annual costs were over 2.5 times higher in the ASCVD group versus the controls (€6923 vs €2699). Indirect costs contributed to 60% and 67% of annual costs in the ASCVD and control groups, respectively. Inpatient costs accounted for ≥ 70% of direct healthcare costs. Cumulative total costs over the 5-year period were €32,011 in the ASCVD group and €12,931 in the controls. People with ASCVD were 3 times more likely to enter early retirement than controls (hazard ratio [HR] 3.02 [95% CI 2.76-3.31]) and approximately 2 times more likely to experience stroke (HR 1.83 [1.77-1.89]) or MI (HR 2.27 [2.20-2.34]).

CONCLUSION

ASCVD is associated with both economic and clinical impacts. People with ASCVD incurred considerably higher costs than matched controls, with indirect costs resulting from work absence and inpatient admissions being major cost drivers, and were also more likely to experience additional ASCVD events.

Economic burden, financial stress, and cost-related coping among people with uncontrolled diabetes in the U.S

Granular information on material deprivation including financial and economic well-being among people with diabetes can better inform policy, practice and interventions to support diabetes management. The purpose of this study was to describe in-depth the state of economic burden, financial stress, and coping among people with high A1c. Data came from the 2019-2021 baseline assessment in an ongoing U.S. trial that addresses social determinants of health among people with diabetes and high A1c who report at least one financial burden or cost-related non-adherence (CRN) (n = 600). Mean age of participants was 53 years. Planning behaviors were the most common financial well-being behavior, while savings was least frequently endorsed. Nearly a quarter of participants report spending more than $300 per month out-of-pocket to manage all of their health conditions. Participants reported spending the most out-of-pocket on medications (52%), special foods (40%), doctor's visits (27%), and blood glucose supplies (22%). Along with health insurance, these were also the most cited as sources of financial stress and where assistance. Seventy-two percent reported high levels of financial stress. Maladaptive coping was evident through CRN, and less than half engaged in adaptive coping such as talking to a doctor about cost or using a resource to address their needs. Economic burden, financial stress, and cost-related coping are highly relevant constructs among people with diabetes and high A1cs. More evidence-generation is needed for diabetes self-management programs to address sources of financial stress, facilitate behaviors to enhance financial well-being, and address unmet social needs to alleviate economic burdens.

Stakeholder-led understanding of the implementation of digital technologies within heart disease diagnosis: a qualitative study protocol

INTRODUCTION

Cardiovascular diseases are highly prevalent among the UK population, and the quality of care is being reduced due to accessibility and resource issues. Increased implementation of digital technologies into the cardiovascular care pathway has enormous potential to lighten the load on the National Health Service (NHS), however, it is not possible to adopt this shift without embedding the perspectives of service users and clinicians.

METHODS AND ANALYSIS

A series of qualitative studies will be carried out with the aim of developing a stakeholder-led perspective on the implementation of digital technologies to improve holistic diagnosis of heart disease. This will be a decentralised study with all data collection being carried out online with a nationwide cohort. Four focus groups, each with 5-6 participants, will be carried out with people with lived experience of heart disease, and 10 one-to-one interviews will be carried out with clinicians with experience of diagnosing heart diseases. The data will be analysed using an inductive thematic analysis approach.

ETHICS AND DISSEMINATION

This study received ethical approval from the Sciences and Technology Cross Research Council at the University of Sussex (reference ER/FM409/1). Participants will be required to provide informed consent via a Qualtrics survey before being accepted into the online interview or focus group. The findings will be disseminated through conference presentations, peer-reviewed publications and to the study participants.

Financial stress among skin cancer patients: a cross-sectional review of the 2013-2018 National Health Interview Survey

Financial stress among skin cancer patients may limit treatment efficacy by forcing the postponement of care or decreasing adherence to dermatologist recommendations. Limited information is available quantifying the anxiety experienced by skin cancer patients from both healthcare and non-healthcare factors. Therefore, the present study sought to perform a retrospective cross-sectional review of the 2013-2018 cycles of the National Health Interview Survey (NHIS) to determine the prevalence, at-risk groups, and predictive factors of skin cancer patient financial stress. Survey responses estimated that 11.45% (95% Cl 10.02-12.88%) of skin cancer patients experience problems paying medical bills, 20.34% (95% Cl 18.97-21.71%) of patients worry about the medical costs, 13.73% (95% Cl 12.55-14.91%) of patients worry about housing costs, and 37.48% (95% Cl 35.83-39.14%) of patients worry about money for retirement. Focusing on at-risk groups, black patients, uninsured patients, and patients with low incomes (< 200% poverty level) consistently experienced high rates of financial stress for each of the four measures. Multivariable logistic regression revealed low education, lack of insurance, and low income to be predictive of financial stress. These findings suggest that a considerable proportion of skin cancer patients experience financial stress related to both healthcare and non-healthcare factors. Where possible, the additional intricacy of treating patients at risk of high financial stress may be considered to optimize patient experience and outcomes.

Young Women With Acute Myocardial Infarction: Risk Prediction Model for 1-Year Hospital Readmission

Background

Although young women ( aged ≤ 55 years) are at higher risk than similarly aged men for hospital readmission within 1 year after an acute myocardial infarction (AMI), no risk prediction models have been developed for them. The present study developed and internally validated a risk prediction model of 1-year post-AMI hospital readmission among young women that considered demographic, clinical, and gender-related variables.

Methods

We used data from the US Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study (n = 2007 women), a prospective observational study of young patients hospitalized with AMI. Bayesian model averaging was used for model selection and bootstrapping for internal validation. Model calibration and discrimination were respectively assessed with calibration plots and area under the curve.

Results

Within 1-year post-AMI, 684 women (34.1%) were readmitted to the hospital at least once. The final model predictors included: any in-hospital complication, baseline perceived physical health, obstructive coronary artery disease, diabetes, history of congestive heart failure, low income ( < $30,000 US), depressive symptoms, length of hospital stay, and race (White vs Black). Of the 9 retained predictors, 3 were gender-related. The model was well calibrated and exhibited modest discrimination (area under the curve = 0.66).

Conclusions

Our female-specific risk model was developed and internally validated in a cohort of young female patients hospitalized with AMI and can be used to predict risk of readmission. Whereas clinical factors were the strongest predictors, the model included several gender-related variables (ie, perceived physical health, depression, income level). However, discrimination was modest, indicating that other unmeasured factors contribute to variability in hospital readmission risk among younger women.

Catastrophic pharmaceutical expenditure in patients with type 2 diabetes in Iran

OBJECTIVES

This study aimed to assess the financial burden of out-of-pocket (OOP) payments to purchase antidiabetic medicines for type 2 patients in Iran.

METHOD

The "budget share" and "capacity to pay" approaches were employed to assess the catastrophic pharmaceutical expenditures of antidiabetic medication therapies. The catastrophic thresholds were adjusted for pharmaceutical sectors. The data was 2019 monthly household expenditures in rural and urban areas, insurance coverages of antidiabetic medicines and patients' out-of-pocket (OOP) payments in 30-day treatment schedules.

RESULTS

The results show that expenditure on diabetes medication therapies in the form of mono-dual therapy and some cases triple oral therapies were not catastrophic even for rural households. Insulin puts patients at risk of catastrophic pharmaceutical expenditures when added to the treatment schedules, and lack of financial protection intensifies it. In general, the poorer households and those resistant to first-line treatments were at increased risk of catastrophic pharmaceutical expenditures. The number of treatments that put patients at risk of catastrophic pharmaceutical expenditure in "budget share" was higher than the "capacity to pay" approach.

CONCLUSIONS

Assessing medication treatment affordability instead of a single medicine assessment is needed. Assessment could be done by utilizing a macro-level data approach and applying adjusted pharmaceutical sector threshold values. Considering the variation between treatment schedules that put patients at risk of catastrophic pharmaceutical expenditures, targeted pharmaceutical policies and reimbursement decisions are recommended to promote Universal Health Coverage (UHC) and to protect vulnerable populations from hardship.

Disease and debt: Findings from the 2019 Panel Study of Income Dynamics in the United States

Medical debt has grown dramatically over the past few decades. While cancer and diabetes are known to be associated with medical debt, little is known about the impact of other medical conditions and health behaviors on medical debt. We analyzed cross-sectional data on 9174 households - spanning lower-income, middle-income, and higher-income based on the Census poverty threshold - participating in the 2019 wave of the nationally representative United States Panel Study of Income Dynamics (PSID). The outcomes were presence of any medical debt and presence of medical debt≥ $2000. Respondents reported on medical conditions (diabetes, cancer, heart disease, chronic lung disease, asthma, arthritis, anxiety disorders, mood disorders) and on health behaviors (smoking, heavy drinking). Medical debt was observed in lower-income households with heart disease (OR = 2.64, p-value = 0.006) and anxiety disorders (OR = 2.16, p-value = 0.02); middle-income households with chronic lung disease (OR = 1.73, p-value = 0.03) and mood disorders (OR = 1.53, p-value = 0.04); and higher-income households with a current smoker (OR = 2.99, p-value<0.001). Additionally, medical debt ≥$2000 was observed in lower-income households with asthma (OR = 2.16, p-value = 0.009) and a current smoker (OR = 1.62, p-value = 0.04); middle income households with hypertension (OR = 1.65, p-value = 0.05). These novel findings suggest that the harms of medical debt extend beyond cancer, diabetes and beyond lower-income households. There is an urgent need for policy and health services interventions to address medical debt in a wider range of disease contexts than heretofore envisioned. Intervention development would benefit from novel conceptual frameworks on the causal relationships between health behaviors, health conditions, and medical debt that center social-ecological influences on all three of these domains.

Financial Hardship From Medical Bills Among Adults With Chronic Liver Diseases: National Estimates From the United States

BACKGROUND AND AIMS

Chronic liver diseases (CLD) affect approximately 2% of the U.S. population and are associated with substantial burden of hospitalization and costs. We estimated the national burden and consequences of financial hardship from medical bills in individuals with CLD.

APPROACH AND RESULTS

Using the National Health Interview Survey from 2014 to 2018, we identified individuals with self-reported CLD. We used complex weighted survey analysis to obtain national estimates of financial hardship from medical bills and other financial toxicity measures (eg, cost-related medication nonadherence, personal and/or health care-related financial distress, food insecurity). We evaluated the association of financial hardship from medical bills with unplanned health care use and work productivity, accounting for differences in age, sex, race/ethnicity, insurance, income, education, and comorbidities. Of the 3,666 (representing 5.3 million) U.S. adults with CLD, 1,377 (representing 2 million [37%, 95% CI: 35%-39%]) reported financial hardship from medical bills, including 549 (representing 740,000 [14%, 95% CI: 13%-16%]) who were unable to pay medical bills at all. Adults who were unable to pay medical bills had 8.4-times higher odds of cost-related medication nonadherence (adjusted OR [aOR], 8.39 [95% CI, 5.72-12.32]), 6.3-times higher odds of financial distress (aOR, 6.33 [4.44-9.03]), and 5.6-times higher odds of food insecurity (aOR, 5.59 [3.74-8.37]), as compared to patients without financial hardship from medical bills. Patients unable to pay medical bills had 1.9-times higher odds of emergency department visits (aOR, 1.85 [1.33-2.57]) and 1.8-times higher odds of missing work due to disease (aOR, 1.83 [1.26-2.67]).

CONCLUSIONS

One in 3 adults with CLD experience financial hardship from medical bills, and frequently experience financial toxicity and unplanned healthcare use. These financial determinates of health have important implications in the context of value-based care.

Assessing financial insecurity among common eye conditions: a 2016-2017 national health survey study

Objective

To explore the prevalence and demographics of financial insecurity in individuals with eye disease in the United States.

Methods

This retrospective cross-sectional study analysed questions from the nationally representative 2016–2017 National Health Interview Survey (NHIS) with the eye conditions macular degeneration, diabetic retinopathy, glaucoma, and cataract. Data was analysed as a whole and then further analysed by condition. Evaluated topics indicated financial insecurity such as individuals reporting difficulty paying bills among eye conditions studied and by demographics.

Results

Survey responses estimated that the overall prevalence of reporting problems paying or unable to pay bills were 12.49% (95% C.I. 11.62–13.36%) among patients with eye conditions. The overall prevalence of patients delaying care was 6.77% (95% C.I. 6.17–7.36%) and 17.06% (95% C.I. 15.99–18.14%) of individuals with eye conditions reported worrying about housing payments. Multivariable logistic regression revealed that demographics who more frequently had difficulty paying medical bills include individuals age 45–64 (3.33 aOR, C.I. 2.79–3.98, p < 0.001), blacks (1.90 aOR, C.I., 1.48–2.45, p < 0.001), Hispanics (1.51 aOR, C.I. 1.07–2.12, p = 0.020), and those 100–200% of the federal poverty line (2.16 aOR, C.I. 1.76–2.66, p < 0.001) or below the poverty line (1.93 aOR, C.I. 1.48–2.53, p < 0.001).

Conclusion

There are several demographics with eye disease that self-report financial insecurity. There should be greater concern for financial insecurity among diabetic retinopathy and glaucoma patients. Ophthalmologists should consider engaging in proactive discussions with at-risk patients to reduce potential non-adherence secondary to financial insecurity.

Prevalence of cardiovascular risk factors in a nationally representative adult population with inflammatory bowel disease without atherosclerotic cardiovascular disease

Background and aims

Chronic inflammation is associated with premature atherosclerotic cardiovascular disease (ASCVD). We studied the prevalence of cardiovascular risk factors (CRFs) amongst individuals with IBD who have not developed ASCVD.

Methods

Our study population was derived from the 2015 – 2016 National Health Interview Survey. Those with ASCVD (defined as myocardial infarction, angina or stroke) were excluded. The prevalence of CRFs among individuals with IBD was compared with those without IBD. The odds CRFs among adults with IBD was assessed using logistic regression models.

Results

In our study population of 60,155 individuals, 786 (1.3%) had IBD. IBD was associated with increased odds hypertension (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.39–2.09), diabetes (OR 1.68, 95% CI 1.22–2.32), hypercholesterolemia (OR 1.62, 95% CI 1.32–2.99) and insufficient physical activity (OR 1.38, 95% CI 1.16–1.66).

Conclusion

IBD is associated with higher prevalence of CRFs. Early screening and risk mitigation strategies are warranted.

Risk Factors for Cost-Related Delays to Medical Care Among Lymphoma Patients: A 22-Year Analysis of a Nationally Representative Sample

BACKGROUND

An estimated 85,000 cases of lymphoma (Hodgkin and non-Hodgkin lymphoma) were diagnosed in the United States in 2020. Financial insecurity is known to negatively impact health outcomes. In 2021, as Americans continue to file for unemployment at rates far above pre-COVID-19 pandemic peak levels, there is a persistent need to address the economic burden of diagnoses and threat of financial stressors and its related conditions, which are already known to cause substantial economic burden.

PATIENTS AND METHODS

Data were obtained from the National Health Interview Survey (NHIS), a cross-sectional survey conducted annually by the National Center for Health Statistics. Two questions were asked of patients to identify potential risk factors of financial insecurity regarding patients' ability to pay medical bills. NHIS respondents between the years 1997 and 2018 self-reporting a history of lymphoma diagnoses was included in the analysis.

RESULTS

Among over 2 million respondents to the NHIS between 1997 and 2018, 1619 individuals reported a history of lymphoma; 9.95% reported delaying medical care due to cost within the previous 12 months; and 6.52% reported not being able to afford medical care in the previous 12 months. Among the subgroups that had the highest risk of delaying medical care were patients between the ages of 25 and 64 years and the uninsured.

CONCLUSION

Financial burdens impede patients' abilities to access and adhere to care, which can contribute to poorer health outcomes. As financially insecure patients continue to present with lymphoma diagnoses, it is vital for practicing hematologists to understand the links among health care, financial insecurity, and demographic risk factors in order to devise and implement appropriate interventions.

Racial and Ethnic Disparities in Access to Health Care Among Adults in the United States: A 20-Year National Health Interview Survey Analysis, 1999-2018

IMPORTANCE

Racial and ethnic disparities plague the US health care system despite efforts to eliminate them. To understand what has been achieved amid these efforts, a comprehensive study from the population perspective is needed.

OBJECTIVES

To determine trends in rates and racial/ethnic disparities of key access to care measures among adults in the US in the last two decades.

DESIGN

Cross-sectional.

SETTING

Data from the National Health Interview Survey, 1999-2018.

PARTICIPANTS

Individuals >18 years old.

EXPOSURE

Race and ethnicity: non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, Hispanic.

MAIN OUTCOME AND MEASURES

Rates of lack of insurance coverage, lack of a usual source of care, and foregone/delayed medical care due to cost. We also estimated the gap between non-Hispanic White and the other subgroups for these outcomes.

RESULTS

We included 596,355 adults, of which 69.7% identified as White, 11.8% as Black, 4.7% as Asian, and 13.8% as Hispanic. The proportion uninsured and the rates of lacking a usual source of care remained stable across all 4 race/ethnicity subgroups up to 2009, while rates of foregone/delayed medical care due to cost increased. Between 2010 and 2015, the percentage of uninsured diminished for all, with the steepest reduction among Hispanics (-2.1% per year). In the same period, rates of no usual source of care declined only among Hispanics (-1.2% per year) while rates of foregone/delayed medical care due to cost decreased for all. No substantial changes were observed from 2016-2018 in any outcome across subgroups. Compared with 1999, in 2018 the rates of foregone/delayed medical care due to cost were higher for all (+3.1% among Whites, +3.1% among Blacks, +0.5% among Asians, and +2.2% among Hispanics) without significant change in gaps; rates of no usual source of care were not significantly different among Whites or Blacks but were lower among Hispanics (-4.9%) and Asians (-6.4%).

CONCLUSIONS AND RELEVANCE

Insurance coverage increased for all, but millions of individuals remained uninsured or underinsured with increasing rates of unmet medical needs due to cost. Those identifying as non-Hispanic Black and Hispanic continue to experience more barriers to health care services compared with non-Hispanic White individuals.

KEY POINTS

Question: In the last 2 decades, what has been achieved in reducing barriers to access to care and race/ethnicity-associated disparities?Findings: Using National Health Interview Survey data from 1999-2018, we found that insurance coverage increased across all 4 major race/ethnicity groups. However, rates of unmet medical needs due to cost increased without reducing the respective racial/ethnic disparities, and little-to-no change occurred in rates of individuals who have no usual source of care.Meaning: Despite increased coverage, millions of Americans continued to experience barriers to access to care, which were disproportionately more prevalent among those identifying as Black or Hispanic.

Financial Toxicity in Atherosclerotic Cardiovascular Disease in the United States: Current State and Future Directions

Atherosclerotic cardiovascular disease (ASCVD) has posed an increasing burden on Americans and the United States healthcare system for decades. In addition, ASCVD has had a substantial economic impact, with national expenditures for ASCVD projected to increase by over 2.5‐fold from 2015 to 2035. This rapid increase in costs associated with health care for ASCVD has consequences for payers, healthcare providers, and patients. The issues to patients are particularly relevant in recent years, with a growing trend of shifting costs of treatment expenses to patients in various forms, such as high deductibles, copays, and coinsurance. Therefore, the issue of “financial toxicity” of health care is gaining significant attention. The term encapsulates the deleterious impact of healthcare expenditures for patients. This includes the economic burden posed by healthcare costs, but also the unintended consequences it creates in form of barriers to necessary medical care, quality of life as well tradeoffs related to non‐health–related necessities. While the societal impact of rising costs related to ASCVD management have been actively studied and debated in policy circles, there is lack of a comprehensive assessment of the current literature on the financial impact of cost sharing for ASCVD patients and their families. In this review we systematically describe the scope and domains of financial toxicity, the instruments that measure various facets of healthcare‐related financial toxicity, and accentuating factors and consequences on patient health and well‐being. We further identify avenues and potential solutions for clinicians to apply in medical practice to mitigate the burden and consequences of out‐of‐pocket costs for ASCVD patients and their families.

Association of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States

Background

While optimal cardiovascular risk factor (CRF) profile is associated with lower mortality, morbidity, and healthcare expenditures among individuals with atherosclerotic cardiovascular disease (ASCVD), less is known regarding its impact on financial hardship from medical bills. Therefore, we assessed whether an optimal CRF profile is associated with a lower burden of financial hardship from medical bills and a reduction in cost-related barriers to health.

Methods

We used a nationally representative sample of adults between 18 and 64 years from the National Health Interview Survey between 2013 and 2017. We assessed ASCVD status and the number of risk factors to categorize the study population into 4 mutually exclusive categories: ASCVD (irrespective of CRF profile) and non-ASCVD with poor, average, and optimal CRF profile. Adjusted logistic regression model was used to determine the association of ASCVD/CRF profile with financial hardship from medical bills and cost-related barriers to health (cost-related medication non-adherence (CRN), foregone/delayed care, and high financial distress).

Results

We included 119,388 non-elderly adults, representing 189 million individuals annually across the United States. Non-ASCVD/optimal CRF profile individuals had a lower prevalence of financial hardship and an inability paying medical bills when compared with individuals with ASCVD (24% vs 45% and 6% vs 19%, respectively). Among individuals without ASCVD and an optimal CRF profile, the prevalence of each cost-related barrier to health was <50% compared with individuals with ASCVD. Poor/low income and uninsured individuals within non-ASCVD/average CRF profile strata had a lower prevalence of financial hardship and an inability paying medical bills when compared with middle/high income and insured individuals with ASCVD. Non-ASCVD individuals with optimal CRF profile had the lowest odds of all barriers to health.

Conclusion

Optimal CRF profile is associated with a lower prevalence of financial hardship from medical bills and cost-related barriers to health despite lower income and lack of insurance.

Cumulative Burden of Financial Hardship From Medical Bills Across the Spectrum of Diabetes Mellitus and Atherosclerotic Cardiovascular Disease Among Non-Elderly Adults in the United States

Background Atherosclerotic cardiovascular disease (ASCVD) has a strong association with diabetes mellitus (DM), accounting for approximately two thirds of deaths in this patient population. Many individuals with ASCVD and DM are vulnerable to financial hardship associated with treatment-related expenses. Therefore, we examined the burden of financial hardship from medical bills across the spectrum of ASCVD status with and without DM. Methods and Results Using data from the National Health Interview Survey from 2013 to 2017, we used logistic regression analysis to examine the association of ASCVD and DM status with financial hardship and an inability to pay medical bills from a representative sample of non-elderly adults in the United States. Our study population consisted of 121 672 individuals. Approximately 3.1% of the weighted population had ASCVD, 5.6% had DM, and 1.3% had both ASCVD and DM. Nearly 50% of individuals with ASCVD and DM reported financial hardship from medical bills (23% being unable to pay medical bills at all), whereas ≈28% of those with neither ASCVD nor DM reported financial hardship from medical bills (8% being unable to pay medical bills at all). Individuals with concurrent ASCVD and DM had the highest relative odds of expressing an inability to pay at all when compared with those with neither condition (odds ratio, 2.69; 95% CI, 2.21-3.28). Conclusions Individuals with concurrent ASCVD and DM are at a disproportionately high risk of being unable to pay their medical bills. The findings provide strong evidence for developing more effective public health policies that protect vulnerable populations from financial hardship.