Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States

Exploring the decision-making experience of elderly diabetes patients regarding their health-seeking behaviour: a descriptive qualitative study

BACKGROUND

Diabetes has emerged as a critical global public health issue. The burden of diabetes is escalating in developing countries, including China. For individuals with diabetes, making informed and rational decisions regarding health-seeking behaviour is crucial to prevent or delay the occurrence of complications. However, prevalent irrational health-seeking behaviours among Chinese patients with diabetes have led to a low treatment rate of only 32.2%. In this study, we explore the subjective experiences of elderly patients with diabetes related to their decision-making experience for seeking healthcare, providing valuable insights for targeted intervention, and provide theoretical basis for establishing an efficient medical and health service system.

METHODS

A qualitative study using descriptive phenomenology research methodology was adopted to explore the decision-making experience of elderly diabetes patients in seeking healthcare services. A purposive sampling approach, specifically maximum variation sampling, was employed to conduct semistructured in-depth interviews with 11 eligible participants between January and February 2023. Data analysis was carried out using QSR Nvivo 12.0 software and Colaizzi's seven-step analysis method.

RESULTS

Four themes emerged: 'lack of disease risk perception and negative coping styles', ' huge medical and economic burden', 'lack of family and social support' and 'Dissatisfaction with medical services'.

CONCLUSION

The health-seeking behavioural decision-making level of elderly diabetic patients is relatively low. Medical and healthcare professionals should formulate targeted intervention measures aimed at improving their disease cognition level, changing their coping styles and enhancing their health-seeking behavioural decision-making level to improve their health outcomes. Meanwhile, policymakers should plan and allocate medical resources in a targeted manner based on the needs and expectations of patients.

Food insecurity and diabetes management among adults of African descent: A systematic review

AIMS

This systematic review explores the established causal link between food insecurity and cardiometabolic conditions among adults of African descent. Specifically, this study examined the relationship between food insecurity and the management of type 2 diabetes, highlighting the prevalence of food insecurity among individuals of African descent with type 2 diabetes.

METHODS

Original English papers were meticulously searched in databases including PubMed, CINAHL, PsycINFO, Medline, Cochrane, Embase and Web of Science. The Cochrane Risk of Bias Tool for quantitative studies and COReQ for qualitative studies were employed to assess biases. Three independent reviewers meticulously evaluated and synthesized results, reaching a consensus.

RESULTS

Among the 198 studies identified, 14 met the inclusion criteria for data extraction and analysis, which were conducted independently by three reviewers. The findings indicate that individuals of African descent are more likely to experience food insecurity compared to their White counterparts and are also more prone to diabetes risk factors or the presence of diabetes.

CONCLUSIONS

This study underscores a higher prevalence of food insecurity and type 2 diabetes among adults of African descent, suggesting that ethnicity and food insecurity play significant roles in diabetes management. Future research should prioritize interventions aimed at reducing these disparities.

Contemporary Patterns of Financial Toxicity Among Patients With Rheumatologic Disease in the United States

BACKGROUND/OBJECTIVE

Rheumatologic diseases encompass a group of disabling conditions that often require expensive clinical treatments and limit an individual's ability to work and maintain a steady income. The purpose of this study was to evaluate contemporary patterns of financial toxicity among patients with rheumatologic disease and assess for any associated demographic factors.

METHODS

The cross-sectional National Health Interview Survey was queried from 2013 to 2018 for patients with rheumatologic disease. Patient demographics and self-reported financial metrics were collected or calculated including financial hardship from medical bills, financial distress, food insecurity, and cost-related medication (CRM) nonadherence. Multivariable logistic regressions were used to assess for factors associated with increased financial hardship.

RESULTS

During the study period, 20.2% of 41,502 patients with rheumatologic disease faced some degree of financial hardship due to medical bills, 55.0% of whom could not pay those bills. Rheumatologic disease was associated with higher odds of financial hardship from medical bills (adjusted odds ratio, 1.29; 95% confidence interval, 1.22-1.36; p < 0.001) with similar trends for patients suffering from financial distress, food insecurity, and CRM nonadherence (p < 0.001 for all). Financial hardship among patients with rheumatologic disease was associated with being younger, male, Black, and uninsured ( p < 0.001 for all).

CONCLUSION

In this nationally representative study, we found that a substantial proportion of adults with rheumatologic disease in the United States struggled with paying their medical bills and suffered from food insecurity and CRM nonadherence. National health care efforts and guided public policy should be pursued to help ease the burden of financial hardship for these patients.

Financial toxicity and acute injury in the Kilimanjaro region: An application of the Three Delays Model

BACKGROUND

Trauma and injury present a significant global burden-one that is exacerbated in low- and middle-income settings like Tanzania. Our study aimed to describe the landscape of acute injury care and financial toxicity in the Kilimanjaro region by leveraging the Three Delays Model.

METHODS

This cross-sectional study used an ongoing injury registry and financial questionnaires collected at Kilimanjaro Christian Medical Centre (KCMC) in Moshi, Tanzania from December 2022 until March 2023. Financial toxicity measures included catastrophic expenditure and impoverishment, in accordance with World Health Organization standards. Descriptive analysis was also performed.

FINDINGS

Most acute injury patients that presented to the KCMC Emergency Department experienced financial toxicity due to their out-of-pocket (OOP) hospital expenses (catastrophic health expenditure, CHE: 62.8%; impoverishment, IMP: 85.9%). Households within our same which experienced financial toxicity had more dependents (CHE: 18.4%; IMP: 17.9% with ≥6 dependents) and lower median monthly adult-equivalent incomes (CHE: 2.53 times smaller than non-CHE; IMP: 4.27 times smaller than non-IMP). Individuals experiencing financial toxicity also underwent more facility transfers with a higher surgical burden.

INTERPRETATION

Delay 1 (decision to seek care) and Delay 2 (reaching appropriate care facility) could be significant factors for those who will experience financial toxicity. In the Tanzanian healthcare system where national health insurance is present, systematic expansions are indicated to target those who are at higher risk for financial toxicity including those who live in rural areas, experience unemployment, and have many dependents.

Hysterectomy and medical financial hardship among U.S. women

OBJECTIVE

Hysterectomy is one of the common surgical procedures for women in the United States. Studies show that hysterectomy is associated with elevated risk of developing chronic conditions, whichmay cause financial toxicity in patients. This study aimed to assess whether women who underwent hysterectomy had a higher risk of experiencing medical financial hardship compared to women who didn't.

METHODS

Using data on 32,823 adult women from the 2019 and 2021 waves of the National Health Interview Survey, we estimated binomial and multinomial logistic regressions to assess the relationship between hysterectomy and financial hardship, defined as problems paying or unable to pay any medical bills. Further, we performed a Karlson-Holm-Breen (KHB) decomposition to examine whether the association could be explained by chronic comorbidity.

RESULTS

While the prevalence of financial hardship was 13.6 % among all women, it was 16.2 % among women who underwent a hysterectomy. The adjusted odds of experiencing medical financial hardship among women with a hysterectomy were 1.36 (95 % CI: 1.22-1.52) times that of their counterparts who did not have a hysterectomy. The KHB decomposition suggested that 34.5 % of the size of the effect was attributable to chronic conditions. Women who had a hysterectomy were also 1.45 (95 % CI: 1.26-1.67) times more likely to have unpaid medical debts.

CONCLUSIONS

Our results suggested that women, who underwent a hysterectomy in the US, were vulnerable to medical financial hardship. Policy makers and health professionals should be made aware of this issue to help women coping against this adversity.

Diabetes and Financial Well-Being: Differential Hardship Among Vulnerable Populations

PURPOSE

The purpose of the study was to examine financial well-being among a diverse population of individuals with and without diabetes.

METHODS

Data from the Understanding America Survey, a nationally representative, longitudinal panel, were utilized to identify adults with self-reported diabetes diagnoses between 2014 and 2020. We used longitudinal mixed effects regression models to assess the association between diabetes and financial well-being score (FWBS) among racial and ethnic population subgroups. Models included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, employment, and health insurance, incorporating individual- and household-level fixed effects. Racial and ethnic differentials were captured using group-condition interactions.

RESULTS

Black participants (17.06%) had the highest prevalence of diabetes, followed by White participants (12.2%), "other" racial groups (10.7%), and Hispanic participants (10.0%). In contrast, White participants (M = 67.66, SD = 22.63) and other racial groups (M = 67.99, SD = 18.45) had the highest FWBSs, followed by Hispanic participants (M = 59.31, SD = 22.78) and Black participants (M = 55.86, SD = 25.67). Compared to White participants, Black participants (β = -5.49, SE = 0.71) and Hispanic participants (β = -2.06, SE = 0.63) have significantly lower FWBSs. Compared to males, females (β = -3.25, SE = 0.41) had lower FWBSs among individuals with diabetes. FWBSs of individuals with diabetes was 2.71 points lower (SE = 0.52), on average, than those without diabetes. Education, household size, age, marital status, and income were also significantly associated with FWBSs.

CONCLUSIONS

Findings suggest potential disparities in the financial ramifications of diabetes among socially marginalized populations.

Changes in Health Care and Prescription Medication Affordability in the US During the COVID-19 Pandemic

Importance

In the US, the COVID-19 pandemic led to a significant rise in unemployment and economic loss that disproportionately impacted low-income individuals. It is unknown how health care and prescription medication affordability changed among low-income adults during the COVID-19 pandemic overall and compared with their higher-income counterparts.

Objective

To evaluate changes in health care affordability and prescription medication affordability during the COVID-19 pandemic (2021 and 2022) compared with pre-COVID-19 pandemic levels (2019) and whether income-based inequities changed.

Design, Setting, and Participants

This retrospective cross-sectional study included adults 18 years and older participating in the National Health Interview Survey (NHIS) in 2019, 2021, and 2022. Low-income adults were defined as having a household income of 200% or less of the federal poverty level (FPL); middle-income adults, 201% to 400% of the FPL; and high-income adults, more than 400% of the FPL. Data were analyzed from June to November 2023.

Main Outcomes and Measures

Measures of health care affordability and prescription medication affordability.

Results

The study population included 89 130 US adults. Among the weighted population, 51.6% (95% CI, 51.2-52.0) were female, and the mean (SD) age was 48.0 (0.12) years. Compared with prepandemic levels, during the COVID-19 pandemic, low-income adults were less likely to delay medical care (2022: 11.2%; 95% CI, 10.3-12.1; 2019: 15.4%; 95% CI, 14.3-16.4; adjusted relative risk [aRR], 0.73; 95% CI, 0.66-0.81) or avoid care (2022: 10.7%; 95% CI, 9.7-11.6; 2019: 14.9%; 95% CI, 13.8-15.9; aRR, 0.72; 95% CI, 0.64-0.80) due to cost, while high-income adults experienced no change, resulting in a significant improvement in income-based disparities. Low-income and high-income adults were less likely to experience problems paying medical bills but experienced no change in worrying about medical bills during the COVID-19 pandemic compared with prepandemic levels. Across measures of prescription medication affordability, low-income adults were less likely to delay medications (2022: 9.4%; 95% CI, 8.4-10.4; 2019: 12.7%; 95% CI, 11.6-13.9; aRR, 0.74; 95% CI, 0.65-0.84), not fill medications (2022: 8.9%; 95% CI, 8.1-9.8; 2019: 12.0%; 95% CI, 11.1-12.9; aRR, 0.75; 95% CI, 0.66-0.83), skip medications (2022: 6.7%; 95% CI, 5.9-7.6; 2019: 10.1%; 95% CI, 9.1-11.1; aRR, 0.67; 95% CI, 0.57-0.77), or take less medications (2022: 7.3%; 95% CI, 6.4-8.1; 2019: 11.2%; 95% CI, 10.%-12.2; aRR, 0.65; 95% CI, 0.56-0.74) due to costs, and these patterns were largely similar among high-income adults. Improvements in measures of health care and prescription medication affordability persisted even after accounting for changes in health insurance coverage and health care use. These patterns were similar when comparing measures of affordability in 2021 with 2019.

Conclusions and Relevance

Health care affordability improved for low-income adults during the COVID-19 pandemic, resulting in a narrowing of income-based disparities, while prescription medication affordability improved for all income groups. These findings suggest that the recent unwinding of COVID-19 pandemic-related safety-net policies may worsen health care affordability and widen existing income-based inequities.

Reducing economic burden through split-shared care model for people living with uncontrolled type 2 diabetes and polypharmacy: a multi-center randomized controlled trial

BACKGROUND

Interprofessional collaborative care such as a split-shared care model involving family physicians and community pharmacists can reduce the economic burden of diabetes management. This study aimed to evaluate the economic outcome of a split-shared care model between family physicians and community pharmacists within a pharmacy chain in managing people with uncontrolled type 2 diabetes and polypharmacy.

METHOD

This was a multi-center, parallel arm, open label, randomized controlled trial comparing the direct and indirect economic outcomes of people who received collaborative care involving community pharmacists (intervention) versus those who received usual care without community pharmacist involvement (control). People with uncontrolled type 2 diabetes, defined as HbA1c > 7.0% and taking ≥ 5 chronic medications were included while people with missing baseline economic data (such as consultation costs, medication costs) were excluded. Direct medical costs were extracted from the institution's financial database while indirect costs were calculated from self-reported gross income and productivity loss, using Work Productivity Activity Impairment Global Health questionnaire. Separate generalized linear models with log link function and gamma distribution were used to analyze changes in direct and indirect medical costs.

RESULTS

A total of 175 patients (intervention = 70, control = 105) completed the trial and were included for analysis. The mean age of the participants was 66.9 (9.2) years, with majority being male and Chinese. The direct medical costs were significantly lower in the intervention than the control group over 6 months (intervention: -US$70.51, control: -US$47.66, p < 0.001). Medication cost was the main driver in both groups. There were no significant changes in productivity loss and indirect costs in both groups.

CONCLUSION

Implementation of split-shared visits with frontline community partners may reduce economic burden for patient with uncontrolled type 2 diabetes and polypharmacy.

TRIAL REGISTRATION

Clinicaltrials.gov Reference Number: NCT03531944 (Date of registration: June 6, 2018).

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.

Inequities in atherosclerotic cardiovascular disease prevention

Atherosclerotic cardiovascular (CV) disease (ASCVD) prevention encompasses interventions across the lifecourse: from primordial to primary and secondary prevention. Primordial prevention begins in childhood and involves the promotion of ideal CV health (CVH) via optimizing physical activity, body mass index, blood glucose levels, total cholesterol levels, blood pressure, and sleep while minimizing tobacco use. Primary and secondary prevention of ASCVD thereafter centers around mitigating ASCVD risk factors via medical therapy and lifestyle interventions. Disparities in optimal preventive efforts exist among historically marginalized groups in each of these three prongs of ASCVD prevention. Children and adults with a high burden of social determinants of health also face inequity in preventive measures. Inadequate screening, risk factor management and prescription of preventive therapeutics permeate the care of certain groups, especially women, Black, and Hispanic individuals in the United States. Beyond this, individuals belonging to historically marginalized groups also are much more likely to experience other ASCVD risk-enhancing factors, placing them at higher risk for ASCVD over their lifetime. These disparities translate to worse outcomes, with higher rates of ASCVD and CV mortality among these groups. Possible solutions to promoting equity involve community-based youth lifestyle interventions, improved risk-factor screening, and increasing accessibility to healthcare resources and novel preventive diagnostics and therapeutics.

Comparison of health care costs following sleeve gastrectomy versus Roux-en-Y gastric bypass among patients with type 2 diabetes

OBJECTIVE

The objective of this study was to compare the impact of sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) on overall and diabetes-specific health care costs among patients with type 2 diabetes.

METHODS

This retrospective cohort study examined patients with type 2 diabetes after SG and RYGB using data from Optum's deidentified Clinformatics® Data Mart database. The matched study group included 9608 patients who underwent SG or RYGB and were enrolled between 2007 and 2019. The primary outcomes assessed were overall and diabetes-specific health care costs.

RESULTS

Health care costs associated with type 2 diabetes declined substantially in the first few years following both SG and RYGB. RYGB was associated with a larger decrease in pharmacy costs, as well as type 2 diabetes-specific office and laboratory costs. SG was associated with lower total health care costs in the first three follow-up periods and lower acute care costs in the first 2 years after surgery.

CONCLUSIONS

In this nationwide study, patients with type 2 diabetes at baseline undergoing RYGB appear to experience a reduced need for ambulatory type 2 diabetes monitoring and reduced requirements for antidiabetes medication but, despite this, did not experience an overall medical cost-benefit in the first few years after RYGB versus SG.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Hospital Encounters Within 1 Year Postpartum Across Insurance Types, Oregon 2012-2017

BACKGROUND

Little is known about the timing and frequency of postpartum hospital encounters and postpartum visit attendance and how they may be associated with insurance types. Research on health insurance and its association with postpartum care utilization is often limited to the first 6 weeks.

OBJECTIVE

To assess whether postpartum utilization (hospital encounters within 1 year postpartum and postpartum visit attendance within 12 weeks) differs by insurance type at birth (Medicaid, high deductible health plans, and other commercial plans) and whether rates of hospital encounters differ by postpartum visit attendance and insurance status.

METHODS

Time-to-event analysis of Oregon hospital births from 2012 to 2017 using All Payer All Claims data. We conducted weighted Cox Proportional Hazard regressions and accounted for differences in insurance type at birth using multinomial propensity scores.

RESULTS

Among 202,167 hospital births, 24.9% of births had at least 1 hospital encounter within 1 year postpartum. Births funded by Medicaid had a higher risk of a postpartum emergency department (ED) visit (hazard ratio: 2.05, 95% CI: 1.99, 2.12) and lower postpartum visit attendance (hazard ratio: 0.71, 95% CI: 0.70, 0.72) compared with commercial plans. Among Medicaid beneficiaries, missing the postpartum visit in the first 6 weeks was associated with a lower risk of subsequent readmissions (adjusted hazard ratio 0.77, 95% CI: 0.68, 0.87) and ED visits (adjusted hazard ratio: 0.87 (0.85, 0.88).

CONCLUSIONS

Medicaid beneficiaries received more care in the ED within 1 year postpartum compared with those enrolled in other commercial plans. This highlights potential issues in postpartum care access.

Pharmacy and neighborhood-level variation in cash price of diabetes medications in the United States

BACKGROUND

Diabetes medications place significant financial burden on patients but less is known about factors affecting cost variation.

OBJECTIVE

To examine pharmacy and neighborhood factors associated with cost variation for diabetes drugs in the US.

RESEARCH DESIGN, SUBJECTS AND MEASURES

We used all-payer US pharmacy data from 45,874 chain and independent pharmacies reflecting 7,073,909 deidentified claims. We divided diabetes drugs into insulins, non-insulin generic medications, and brand name medications. Generalized linear models, stratified by pharmacy type, identified pharmacy and neighborhood factors associated with higher or lower cash price-per-unit (PPU) for each set of drugs.

RESULTS

Cash PPU was highest for brand name therapies ($149.4±203.2), followed by insulins ($42.4±25.0), and generic therapies ($1.3±4.4). Pharmacy-level price variation was greater for non-insulin generic therapies than insulins or brand name therapies. Chain pharmacies had both lower prices and lesser variation compared with independent pharmacies.

CONCLUSIONS

Cash prices for diabetes medications in the US can vary considerably and that the greatest degree of price variation occurs in non-insulin generic therapies.

Cost and utilization of healthcare services for persons with diabetes

AIMS

Describe and compare healthcare costs and utilization for insured persons with type 1 diabetes (T1D), type 2 diabetes (T2D), and without diabetes in the United States.

METHODS

Using a nationally representative healthcare claims database, we identified matched persons with T1D, T2D, and without diabetes using a propensity score quasi-randomization technique. In each year between 2009 and 2018, we report costs (total and out-of-pocket) and utilization for all healthcare services and those specific to medications, diabetes-related supplies, visits to providers, hospitalizations, and emergency department visits.

RESULTS

In 2018, we found out-of-pocket costs and total costs were highest for persons with T1D (out-of-pocket: $2,037.2, total: $25,652.0), followed by T2D (out-of-pocket: $1,543.3, total: $22,408.1), and without diabetes (out-of-pocket: $1,122.7, total: $14,220.6). From 2009 to 2018, out-of-pocket costs were increasing for persons with T1D(+6.5 %) but decreasing for T2D (-7.5 %) and without diabetes (-2.3 %). Medication costs made up the largest proportion of out-of-pocket costs regardless of diabetes status (T1D: 51.4 %, T2D: 55.4 %,without diabetes: 51.1 %).

CONCLUSIONS

Given the substantial out-of-pocket costs for people with diabetes, especially for those with T1D, providers should screen all persons with diabetes for financial toxicity (i.e., wide-ranging problems stemming from healthcare costs). In addition, policies that aim to lower out-of-pocket costs of cost-effective diabetes related healthcare are needed with a particular focus on medications.

Advances in the management of type 2 diabetes in adults

Type 2 diabetes is a chronic and progressive cardiometabolic disorder that affects more than 10% of adults worldwide and is a major cause of morbidity, mortality, disability, and high costs. Over the past decade, the pattern of management of diabetes has shifted from a predominantly glucose centric approach, focused on lowering levels of haemoglobin A1c (HbA1c), to a directed complications centric approach, aimed at preventing short term and long term complications of diabetes, and a pathogenesis centric approach, which looks at the underlying metabolic dysfunction of excess adiposity that both causes and complicates the management of diabetes. In this review, we discuss the latest advances in patient centred care for type 2 diabetes, focusing on drug and non-drug approaches to reducing the risks of complications of diabetes in adults. We also discuss the effects of social determinants of health on the management of diabetes, particularly as they affect the treatment of hyperglycaemia in type 2 diabetes.

Diabetes in childhood cancer survivors: emerging concepts in pathophysiology and future directions

With advancements in cancer treatment and supportive care, there is a growing population of childhood cancer survivors who experience a substantial burden of comorbidities related to having received cancer treatment at a young age. Despite an overall reduction in the incidence of most chronic health conditions in childhood cancer survivors over the past several decades, the cumulative incidence of certain late effects, in particular diabetes mellitus (DM), has increased. The implications are significant, because DM is a key risk factor for cardiovascular disease, a leading cause of premature death in childhood cancer survivors. The underlying pathophysiology of DM in cancer survivors is multifactorial. DM develops at younger ages in survivors compared to controls, which may reflect an "accelerated aging" phenotype in these individuals. The treatment-related exposures (i.e., chemotherapy, radiation) that increase risk for DM in childhood cancer survivors may be more than additive with established DM risk factors (e.g., older age, obesity, race, and ethnicity). Emerging research also points to parallels in cellular processes implicated in aging- and cancer treatment-related DM. Still, there remains marked inter-individual variability regarding risk of DM that is not explained by demographic and therapeutic risk factors alone. Recent studies have highlighted the role of germline genetic risk factors and epigenetic modifications that are associated with risk of DM in both the general and oncology populations. This review summarizes our current understanding of recognized risk factors for DM in childhood cancer survivors to help inform targeted approaches for disease screening, prevention, and treatment. Furthermore, it highlights the existing scientific gaps in understanding the relative contributions of individual therapeutic exposures and the mechanisms by which they exert their effects that uniquely predispose this population to DM following cancer treatment.

Healthcare affordability and effects on mortality among adults with liver disease from 2004 to 2018 in the United States

BACKGROUND & AIMS

Liver disease is associated with substantial morbidity and mortality, likely incurring financial distress (i.e. healthcare affordability and accessibility issues), although long-term national-level data are limited.

METHODS

Using the National Health Interview Survey from 2004 to 2018, we categorised adults based on report of liver disease and other chronic conditions linked to mortality data from the National Death Index. We estimated age-adjusted proportions of adults reporting healthcare affordability and accessibility issues. Multivariable logistic regression and Cox regression were used to assess the association of liver disease with financial distress and financial distress with all-cause mortality, respectively.

RESULTS

Among adults with liver disease (n = 19,407) vs. those without liver disease (n = 996,352), those with cancer history (n = 37,225), those with emphysema (n = 7,937), and those with coronary artery disease (n = 21,510), the age-adjusted proportion reporting healthcare affordability issues for medical services was 29.9% (95% CI 29.7-30.1%) vs. 18.1% (95% CI 18.0-18.3%), 26.5% (95% CI 26.3-26.7%), 42.2% (95% CI 42.1-42.4%), and 31.6% (31.5-31.8%), respectively, and for medications: 15.5% (95% CI 15.4-15.6%) vs. 8.2% (95% CI 8.1-8.3%), 14.8% (95% CI 14.7-14.9%), 26.1% (95% CI 26.0-26.2%), and 20.6% (95% CI 20.5-20.7%), respectively. In multivariable analysis, liver disease (vs. without liver disease, vs. cancer history, vs. emphysema, and vs. coronary artery disease) was associated with inability to afford medical services (adjusted odds ratio [aOR] 1.84, 95% CI 1.77-1.92; aOR 1.32, 95% CI 1.25-1.40; aOR 0.91, 95% CI 0.84-0.98; and aOR 1.11, 95% CI 1.04-1.19, respectively) and medications (aOR 1.92, 95% CI 1.82-2.03; aOR 1.24, 95% CI 1.14-1.33; aOR 0.81, 95% CI 0.74-0.90; and aOR 0.94, 95% CI 0.86-1.02, respectively), delays in medical care (aOR 1.77, 95% CI 1.69-1.87; aOR 1.14, 95% CI 1.06-1.22; aOR 0.88, 95% CI 0.79-0.97; and aOR 1.05, 95% CI 0.97-1.14, respectively), and not receiving the needed medical care (aOR 1.86, 95% CI 1.76-1.96; aOR 1.16, 95% CI 1.07-1.26; aOR 0.89, 95% CI 0.80-0.99; aOR 1.06, 95% CI 0.96-1.16, respectively). In multivariable analysis, among adults with liver disease, financial distress (vs. without financial distress) was associated with increased all-cause mortality (aHR 1.24, 95% CI 1.01-1.53).

CONCLUSIONS

Adults with liver disease face greater financial distress than adults without liver disease and adults with cancer history. Financial distress is associated with increased risk of all-cause mortality among adults with liver disease. Interventions to improve healthcare affordability should be prioritised in this population.

IMPACT AND IMPLICATIONS

Adults with liver disease use many medical services, but long-term national studies regarding the financial repercussions and the effects on mortality for such patients are lacking. This study shows that adults with liver disease are more likely to face issues affording medical services and prescription medication, experience delays in medical care, and needing but not obtaining medical care owing to cost, compared with adults without liver disease, adults with cancer history, are equally likely as adults with coronary artery disease, and less likely than adults with emphysema-patients with liver disease who face these issues are at increased risk of death. This study provides the impetus for medical providers and policymakers to prioritise interventions to improve healthcare affordability for adults with liver disease.

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.

Lifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study

Objective

To understand the burden of healthcare expenses over the lifetime of individuals and evaluate differences among those with cardiovascular risk factors and among disadvantaged groups based on race/ethnicity and sex.

Methods

We linked data from the longitudinal multiethnic Dallas Heart Study, which recruited participants between 2000 and 2002, with inpatient and outpatient claims from all hospitals in the Dallas-Fort Worth metroplex through December 2018, capturing encounter expenses. Race/ethnicity and sex, as well as five risk factors, hypertension, diabetes, hyperlipidemia, smoking, and overweight/obesity, were defined at cohort enrollment. For each individual, expenses were indexed to age and cumulated between 40 and 80 years of age. Lifetime expenses across exposures were evaluated as interactions in generalized additive models.

Results

A total of 2184 individuals (mean age, 45±10 years; 61% women, 53% Black) were followed between 2000 and 2018. The mean modeled lifetime cumulative healthcare expenses were $442,629 (IQR, $423,850 to $461,408). In models that included 5 risk factors, Black individuals had $21,306 higher lifetime healthcare spending compared with non-Black individuals (P < .001), and men had modestly higher expenses than women ($5987, P < .001). Across demographic groups, the presence of risk factors was associated with progressively higher lifetime expenses, with significant independent association of diabetes ($28,075, P < .001), overweight/obesity ($8816, P < .001), smoking ($3980, P = .009), and hypertension ($528, P = .02) with excess spending.

Conclusion

Our study suggests Black individuals have higher lifetime healthcare expenses, exaggerated by the substantially higher prevalence of risk factors, with differences emerging in older age.

Food insecurity, SNAP participation and glycemic control in low-income adults with predominantly type 2 diabetes: a cross-sectional analysis using NHANES 2007-2018 data

INTRODUCTION

Diabetes, characterized by elevated blood glucose levels, affects 13% of US adults, 95% of whom have type 2 diabetes (T2D). Social determinants of health (SDoH), such as food insecurity, are integral to glycemic control. The Supplemental Nutrition Assistance Program (SNAP) aims to reduce food insecurity, but it is not clear how this affects glycemic control in T2D. This study investigated the associations between food insecurity and other SDoH and glycemic control and the role of SNAP participation in a national socioeconomically disadvantaged sample.

RESEARCH DESIGN AND METHODS

Adults with likely T2D and income <185% of the federal poverty level (FPL) were identified using cross-sectional National Health and Nutrition Examination Survey (NHANES) data (2007-2018). Multivariable logistic regression assessed the association between food insecurity, SNAP participation and glycemic control (defined by HbA1c 7.0%-8.5% depending on age and comorbidities). Covariates included demographic factors, clinical comorbidities, diabetes management strategies, and healthcare access and utilization.

RESULTS

The study population included 2084 individuals (90% >40 years of age, 55% female, 18% non-Hispanic black, 25% Hispanic, 41% SNAP participants, 36% low or very low food security). Food insecurity was not associated with glycemic control in the adjusted model (adjusted OR (aOR) 1.181 (0.877-1.589)), and SNAP participation did not modify the effect of food insecurity on glycemic control. Insulin use, lack of health insurance, and Hispanic or another race and ethnicity were among the strongest associations with poor glycemic control in the adjusted model.

CONCLUSIONS

For low-income individuals with T2D in the USA, health insurance may be among the most critical predictors of glycemic control. Additionally, SDoH associated with race and ethnicity plays an important role. SNAP participation may not affect glycemic control because of inadequate benefit amounts or lack of incentives for healthy purchases. These findings have implications for community engaged interventions and healthcare and food policy.

Cost burden among the CF population in the United States: A focus on debt, food insecurity, housing and health services

BACKGROUND

Advancements in the cystic fibrosis (CF) field have resulted in longer lifespans for individuals with CF. This has led to more responsibility for complex care regimens, frequent health care, and prescription medication utilization that are costly and may not be fully covered by health insurance. There are outstanding questions about unmet medical needs among the U.S. population with CF and how the financial burden of CF is associated with debt, housing instability, and food insecurity.

METHODS

Researchers developed the CF Health Insurance Survey (CF HIS) to survey a convenience sample of people living with CF in the U.S. The sample was weighted to reflect the parameters of the 2019 Cystic Fibrosis Foundation Patient Registry Annual Data Report, and chi-square tests and multiple logistic regression models were conducted.

RESULTS

A total of 1,856 CF patients in the U.S. were included in the study. Of these, 64% faced a financial burden: 55% of respondents faced debt issues, 26% housing issues, and 33% food insecurity issues. A third reported at least one unmet medical need: 24% faced unmet prescription needs, 12% delayed or shortened a hospitalization, and 10% delayed or skipped a care center visit as a result of the cost of care.

CONCLUSIONS

People with CF in the U.S. experience high financial burden, which is associated with unmet medical needs. Income is the biggest risk factor for financial burden for people with CF, with people dually covered by Medicare and Medicaid particularly at risk.

Chronic Illness in Children and Foregone Care Among Household Adults in the United States: A National Study

BACKGROUND

Childhood chronic illness imposes financial burdens that may affect the entire family.

OBJECTIVE

The aim was to assess whether adults living with children with 2 childhood chronic illnesses-asthma and diabetes-are more likely to forego their own medical care, and experience financial strain, relative to those living with children without these illnesses.

RESEARCH DESIGN

2009-2018 National Health Interview Survey.

SUBJECTS

Adult-child dyads, consisting of one randomly sampled child and adult in each family.

MEASURES

The main exposure was a diagnosis of asthma or diabetes in the child. The outcomes were delayed/foregone medical care for the adult as well as family financial strain; the authors evaluated their association with the child's illness using multivariable logistic regressions adjusted for potential confounders.

RESULTS

The authors identified 93,264 adult-child dyads; 8499 included a child with asthma, and 179 a child with diabetes. Families with children with either illness had more medical bill problems, food insecurity, and medical expenses. Adults living with children with each illness reported more health care access problems. For instance, relative to other adults, those living with a child with asthma were more likely to forego/delay care (14.7% vs. 10.2%, adjusted odds ratio: 1.27; 95% CI: 1.16-1.39) and were more likely to forego medications, specialist, mental health, and dental care. Adults living with a child with diabetes were also more likely to forego/delay care (adjusted odds ratio: 1.76; 95% CI: 1.18-2.64).

CONCLUSIONS

Adults living with children with chronic illnesses may sacrifice their own care because of cost concerns. Reducing out-of-pocket health care costs, improving health coverage, and expanding social supports for families with children with chronic conditions might mitigate such impacts.

Dissatisfaction of Out-of-Pocket Costs and Problems Paying Medical Bills Among Medicare Beneficiaries With Type 2 Diabetes

Purpose

The purpose of the study was to examine the relationship between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills among Medicare beneficiaries with type 2 diabetes.

Methods

The 2019 Medicare Current Beneficiary Survey Public Use File, a nationally representative sample of Medicare beneficiaries aged ≥65 years with type 2 diabetes, was analyzed (n = 2178). A survey-weighted multivariable logit regression model was conducted to examine the association between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills, adjusted for sociodemographics and comorbidities.

Results

Among study beneficiaries, 12.6% reported problems paying medical bills. Among those with and without problems paying medical bills, 59.5% and 12.8%, respectively, were dissatisfied with out-of-pocket costs. In the multivariable analysis, beneficiaries who were dissatisfied with out-of-pocket costs were more likely to report problems paying medical bills than those who were satisfied. Younger beneficiaries, beneficiaries with lower incomes, those with functional limitations, and those with multiple comorbidities were more likely to report problems paying medical bills.

Conclusions

Despite having health care coverage, more than one-tenth of Medicare beneficiaries with type 2 diabetes reported problems paying medical bills, which raises concerns about delaying or forgoing needed medical care due to unaffordability. Screenings and targeted interventions that identify and reduce financial hardships associated with out-of-pocket costs should be prioritized.

Financial Hardship and its Associations with Perceived Sleep Quality in Participants with Type 2 Diabetes and Obstructive Sleep Apnea

OBJECTIVES

The purpose of this study was to explore social determinants of health (SDoH), and disease severity as predictors of sleep quality in persons with both Obstructive Sleep Apnea (OSA) and type 2 diabetes (T2D).

METHODS

Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and HbA1c for glycemic control. SDoH included subjective and objective financial hardship, race, sex, marital status, education, and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The sample (N = 209) was middle-aged (57.6 ± 10.0); 66% White and 34% African American; and 54% men and 46% women. Participants carried a high burden of disease (mean AHI = 20.7 ± 18.1, mean HbA1c = 7.9% ± 1.7%). Disease severity was not significantly associated with sleep quality (all p >.05). Worse sleep quality was associated with both worse subjective (b = -1.54, p = .015) and objective (b = 2.58, p <.001) financial hardship. Characteristics significantly associated with both subjective and objective financial hardship included being African American, female, ≤ 2 years post high school, and of younger ages (all p < .01).Discussion: Financial hardship is a more important predictor of sleep quality than disease severity, age, sex, race, marital status, and educational attainment, in patients with OSA and T2D.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Out-of-pocket Costs for Commercially-insured Patients in the Years Following Bariatric Surgery: Sleeve Gastrectomy Versus Roux-en-Y Gastric Bypass

OBJECTIVE

To compare out-of-pocket (OOP) costs for patients up to 3 years after bariatric surgery in a large, commercially-insured population.

SUMMARY OF BACKGROUND DATA

More information on OOP costs following bariatric surgery may affect patients' procedure choice.

METHODS

Retrospective study using the IBM MarketScan commercial claims database, representing patients nationally who underwent laparoscopic sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) January 1, 2011 to December 31, 2017. We compared total OOP costs after the surgical episode between the 2 procedures using difference-in-differences analysis adjusting for demographics, comorbidities, operative year, and insurance type.

RESULTS

Of 63,674 patients, 64% underwent SG and 36% underwent RYGB. Adjusted OOP costs after SG were $1083, $1236, and $1266 postoperative years 1, 2, and 3. For RYGB, adjusted OOP costs were $1228, $1377, and $1369. In our primary analysis, SG OOP costs were $122 (95% confidence interval [CI]: -$155 to -$90) less than RYGB year 1. This difference remained consistent at -$119 (95%CI: -$158 to -$79) year 2 and -$80 (95%CI: -$127 to -$35) year 3. These amounts were equivalent to relative differences of -7%, -7%, and -5% years 1, 2, and 3. Plan features contributing the most to differences were co-insurance years 1, 2, and 3.The largest clinical contributors to differences were endoscopy and outpatient care year 1, outpatient care year 2, and emergency department use year 3.

CONCLUSIONS

Our study is the first to examine the association between bariatric surgery procedure and OOP costs. Differences between procedures were approximately $100 per year which may be an important factor for some patients deciding whether to pursue SG or gastric bypass.

Unfavorable social determinants of health are associated with higher burden of financial toxicity among patients with atherosclerotic cardiovascular disease in the US: findings from the National Health Interview Survey

BACKGROUND

Atherosclerotic cardiovascular disease (ASCVD) is a major cause of financial toxicity, defined as excess financial strain from healthcare, in the US. Identifying factors that put patients at greatest risk can help inform more targeted and cost-effective interventions. Specific social determinants of health (SDOH) such as income are associated with a higher risk of experiencing financial toxicity from healthcare, however, the associations between more comprehensive measures of cumulative social disadvantage and financial toxicity from healthcare are poorly understood.

METHODS

Using the National Health Interview Survey (2013-17), we assessed patients with self-reported ASCVD. We identified 34 discrete SDOH items, across 6 domains: economic stability, education, food poverty, neighborhood conditions, social context, and health systems. To capture the cumulative effect of SDOH, an aggregate score was computed as their sum, and divided into quartiles, the highest (quartile 4) containing the most unfavorable scores. Financial toxicity included presence of: difficulty paying medical bills, and/or delayed/foregone care due to cost, and/or cost-related medication non-adherence.

RESULTS

Approximately 37% of study participants reported experiencing financial toxicity from healthcare, with a prevalence of 15% among those in SDOH Q1 vs 68% in SDOH Q4. In fully-adjusted regression analyses, individuals in the 2nd, 3rd and 4th quartiles of the aggregate SDOH score had 1.90 (95% CI 1.60, 2.26), 3.66 (95% CI 3.11, 4.35), and 8.18 (95% CI 6.83, 9.79) higher odds of reporting any financial toxicity from healthcare, when compared with participants in the 1st quartile. The associations were consistent in age-stratified analyses, and were also present in analyses restricted to non-economic SDOH domains and to 7 upstream SDOH features.

CONCLUSIONS

An unfavorable SDOH profile was strongly and independently associated with subjective financial toxicity from healthcare. This analysis provides further evidence to support policies and interventions aimed at screening for prevalent financial toxicity and for high financial toxicity risk among socially vulnerable groups.

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.

Measurement and Validation of the Comprehensive Score for Financial Toxicity (COST) in a Population With Diabetes

OBJECTIVE

The Comprehensive Score for Financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT) is a validated instrument measuring financial distress among people with cancer. The reliability and construct validity of the 11-item COST-FACIT were examined in adults with diabetes and high A1C.

RESEARCH DESIGN AND METHODS

We examined the factor structure (exploratory factor analysis), internal consistency reliability (Cronbach α), floor/ceiling effects, known-groups validity, and predictive validity among a sample of 600 adults with diabetes and high A1C.

RESULTS

COST-FACIT demonstrated a two-factor structure with high internal consistency: general financial situation (7-items, α = 0.86) and impact of illness on financial situation (4-items, α = 0.73). The measure demonstrated a ceiling effect for 2% of participants and floor effects for 7%. Worse financial toxicity scores were observed among adults who were women, were below the poverty line, had government-sponsored health insurance, were middle-aged, were not in the workforce, and had less educational attainment (P < 0.01). Worse financial toxicity was observed for those engaging in cost coping behaviors, such as taking less or skipping medicines, delaying care, borrowing money, "maxing out" the limit on credit cards, and not paying bills (P < 0.01). In regression models for the full measure and its two factors, worse financial toxicity was correlated with higher A1C (P < 0.01), higher levels of diabetes distress (P < 0.01), more chronic conditions (P < 0.01), and more depressive symptoms (P < 0.01).

CONCLUSIONS

Findings support both the reliability and validity of the COST-FACIT tool among adults with diabetes and high A1C levels. More research is needed to support the use of the COST-FACIT tool as a clinically relevant patient-centered instrument for diabetes care.

Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018

Importance

Racial and ethnic disparities in delayed medical care for reasons that are not directly associated with the cost of care remain understudied.

Objective

To describe trends in racial and ethnic disparities in barriers to timely medical care among adults during a recent 20-year period.

Design, Setting, and Participants

This was a serial cross-sectional study of 590 603 noninstitutionalized adults in the US using data from the National Health Interview Survey from 1999 to 2018. Data analyses were performed from December 2021 through August 2022.

Exposures

Self-reported race, ethnicity, household income, and sex.

Main Outcomes and Measures

Temporal trends in disparities regarding 5 specific barriers to timely medical care: inability to get through by telephone, no appointment available soon enough, long waiting times, inconvenient office or clinic hours, and lack of transportation.

Results

The study cohort comprised 590 603 adult respondents (mean [SE] age, 46.00 [0.07] years; 329 638 [51.9%] female; 27 447 [4.7%] Asian, 83 929 [11.8%] Black, 98 692 [13.8%] Hispanic/Latino, and 380 535 [69.7%] White). In 1999, the proportion of each race and ethnicity group reporting any of the 5 barriers to timely medical care was 7.3% among the Asian group; 6.9%, Black; 7.9%, Hispanic/Latino; and 7.0%, White (P > .05 for each difference compared with White individuals). From 1999 to 2018, this proportion increased across all 4 race and ethnicity groups (by 5.7, 8.0, 8.1, and 5.9 percentage points [pp] among Asian, Black, Hispanic/Latino, and White individuals, respectively; P < .001 for each), slightly increasing the disparities between groups. In 2018, compared with White individuals, the proportion reporting any barrier was 2.1 and 3.1 pp higher among Black and Hispanic/Latino individuals (P = .03 and P = .001, respectively). There was no significant difference in prevalence between Asian and White individuals. There was a significant increase in the difference in prevalence between Black individuals and White individuals who reported delaying care because of long waiting times at the clinic or medical office and because of a lack of transportation (1.5 pp and 1.8 pp; P = .03 and P = .01, respectively). In addition, the difference in prevalence between Hispanic/Latino and White individuals who reported delaying care because of long waiting times increased significantly (2.6 pp; P < .001).

Conclusions and Relevance

The findings of this serial cross-sectional study of data from the National Health Interview Survey suggest that barriers to timely medical care in the US increased for all population groups from 1999 to 2018, with associated increases in disparities among race and ethnicity groups. Interventions beyond those currently implemented are needed to improve access to medical care and to eliminate disparities among race and ethnicity groups.

Evolution of Clinical Complexity, Treatment Burden, Health Care Use, and Diabetes-Related Outcomes Among Commercial and Medicare Advantage Plan Beneficiaries With Diabetes in the U.S., 2006-2018

OBJECTIVE

To characterize trends in clinical complexity, treatment burden, health care use, and diabetes-related outcomes among adults with diabetes.

RESEARCH DESIGN AND METHODS

We used a nationwide claims database to identify enrollees in commercial and Medicare Advantage plans who met claims criteria for diabetes between 1 January 2006 and 31 March 2019 and to quantify annual trends in clinical complexity (e.g., active health conditions), treatment burden (e.g., medications), health care use (e.g., ambulatory, emergency department [ED], and hospital visits), and diabetes-related outcomes (e.g., hemoglobin A1c [HbA1c] levels) between 2006 and 2018.

RESULTS

Among 1,470,799 commercially insured patients, the proportion with ≥10 active health conditions increased from 33.3% (95% CI 33.1-33.4) in 2006 to 38.9% (38.8-39.1) in 2018 (P = 0.001) and the proportion taking three or more glucose-lowering medications increased from 11.6% (11.5-11.7) to 23.1% (22.9-23.2) (P = 0.007). The proportion with HbA1c ≥8.0% (≥64 mmol/mol) increased from 28.0% (27.7-28.3) in 2006 to 30.5% (30.2-30.7) in 2015, decreasing to 27.8% (27.5-28.0) in 2018 (overall trend P = 0.04). Number of ambulatory visits per patient per year decreased from 6.86 (6.84-6.88) to 6.19 (6.17-6.21), (P = 0.001) while ED visits increased from 0.26 (0.257-0.263) to 0.29 (0.287-0.293) (P = 0.001). Among 1,311,903 Medicare Advantage enrollees, the proportion with ≥10 active conditions increased from 51.6% (51.2-52.0) to 65.1% (65.0-65.2) (P < 0.001); the proportion taking three or more glucose-lowering medications was stable at 16.6% (16.3-16.9) and 18.1% (18.0-18.2) (P = 0.98), and the proportion with HbA1c ≥8.0% increased from 17.4% (16.7-18.1) to 18.6% (18.4-18.7) (P = 0.008). Ambulatory visits per patient per year remained stable at 8.01 (7.96-8.06) and 8.17 (8.16-8.19) (P = 0.23), but ED visits increased from 0.41 (0.40-0.42) to 0.66 (0.66-0.66) (P < 0.001).

CONCLUSIONS

Among patients with diabetes, clinical complexity and treatment burden have increased over time. ED utilization has also increased, and patients may be using ED services for low-acuity conditions.

Association Between Medicare Program Type and Health Care Access, Acute Care Utilization, and Affordability Among Adults With Cardiovascular Disease

BACKGROUND

Medicare Advantage plans now provide health insurance coverage to >24 million older adults in the United States, and enrollment is increasing among individuals with cardiovascular disease (CVD). Whether Medicare Advantage enrollment is associated with similar health care access, acute care utilization, and financial strain for adults with CVD compared with traditional Medicare is unknown.

METHODS

We performed a cross-sectional study of Medicare beneficiaries 65 years or older with CVD using the 2019 National Health Interview Survey. We fit multivariable logistic regression models to examine the association of Medicare program type (Medicare Advantage versus traditional Medicare) with measures of health care access, acute care utilization, and affordability.

RESULTS

The weighted population included 11 013 437 Medicare beneficiaries, of whom 3 922 104 (35.6%) were enrolled in Medicare Advantage, and 7 091 334 (64.4%) were enrolled in traditional Medicare. Medicare Advantage and traditional Medicare enrollees were similar with respect to age, sex, racial/ethnic distribution, and household income; however, Medicare Advantage beneficiaries were more likely to live in an urban setting (82.7% versus 76.0%; P=0.01) and to be college educated (24.2% versus 19.0%; P=0.01). Medicare Advantage beneficiaries were more likely to have a usual source of care (93.5% versus 88.9%; OR, 1.99 [95% CI, 1.33-2.98)]; however, there were no other differences in health care access or utilization. Medicare Advantage beneficiaries were more likely to have problems paying medical bills (16.5% versus 11.6%; OR, 1.68 [1.17-2.40]) and to worry about paying medical bills (40.1% versus 33.8%; OR, 1.37 [1.07-1.76]) compared with those enrolled in traditional Medicare.

CONCLUSIONS

Adults with CVD in Medicare Advantage were more likely to experience financial strain related to their medical bills compared with those in traditional Medicare. As enrollment in Medicare Advantage grows, policy efforts should focus on ensuring care is affordable for patients with CVD.

Measures of Financial Hardship From Health Care Expenses Among Families With a Member With Atherosclerotic Cardiovascular Disease in the US

Importance

Patients with atherosclerotic cardiovascular disease (ASCVD) face substantial financial burden from health care costs as assessed by many disparate measures. However, evaluation of the concordance of existing measures and the prevalence of financial burden based on these measures is lacking.

Objective

To compare subjectively reported and objectively measured financial burden from health care in families of patients with ASCVD.

Design Setting and Participants

This cross-sectional study used data from the Medical Expenditure Panel Survey, a nationally representative survey of individuals and families in the US, and included all families with 1 or more members with ASCVD from 2014 to 2018. Analyses were conducted from October 2021 to April 2022.

Main Outcomes and Measures

Using accepted definitions, objective financial hardship represented annual out-of-pocket medical expenses exceeding 20% of annual postsubsistence income, and subjective financial hardship represented self-reported problems paying medical bills or paying them over time. Prevalence of financial hardship was identified based on individual definitions and their concordance was assessed. Factors associated with each type of financial hardship were examined using risk-adjusted survey logistic regression. Multivariable logistic regression was used to model the odds of subjective financial hardship vs objective financial hardship across subgroups. The association between measures of financial hardship and self-reported deferral of care was also assessed.

Results

Among 10 975 families of patients with ASCVD, representing 22.5 million families nationally (mean [SD] age of index individual, 66 [24] years; estimated 54% men]), 37% experienced either objective or subjective financial hardship. This group included 11% (95% CI, 10%-11%) with objective financial hardship, 21% (95% CI, 20%-22%) with subjective financial hardship, and 5% (95% CI, 5%-6%) with both objective and subjective financial hardship. Mean age was 70 (95% CI, 68-71) years vs 61 (95% CI, 60-62) years for index patients in families reporting objective financial hardship only vs subjective financial hardship only, with no difference in sex (50% [95% CI, 46%-54%] of men vs 49% [95% CI, 47%-52%] of women). In risk-adjusted analyses, among families of patients with ASCVD, patient age of 65 years or older was associated with lower odds of subjective financial hardship than objective financial hardship (odds ratio [OR], 0.39; 95% CI, 0.20-0.76), whereas higher income (OR, 6.08; 95% CI, 3.93-9.42 for an income of >100%-200% of the federal poverty level [FPL] vs ≤100% of the FPL and OR, 20.46; 95% CI, 11.45-36.56 for >200% of FPL vs ≤100% of FPL), public insurance (OR, 6.60; 95% CI, 4.20-10.37), and being uninsured (OR, 5.36; 95% CI, 2.61-10.98) were associated with higher odds of subjective financial hardship than objective financial hardship. Subjective financial hardship alone was associated with significantly higher adjusted odds of self-reporting deferred or forgone care compared with objective financial hardship alone (OR, 2.69; 95% CI, 1.79-4.06).

Conclusions and Relevance

In this cross-sectional study of US adults, 2 in 5 families of patients with ASCVD experienced health care-related financial hardship, but a focus on objective or subjective measures alone would have captured only half the burden and not identified those deferring health care. The findings suggest that a comprehensive framework that evaluates both objective and subjective measures is essential to monitor financial consequences of health care.

Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018

Importance

Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years.

Objective

To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US.

Design, Setting, and Participants

This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022.

Exposures

Self-reported race, ethnicity, household income, and sex.

Main Outcomes and Measures

Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age.

Results

The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age.

Conclusions and Relevance

The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Development of a computerized intervention to improve health literacy in older Hispanics with type 2 diabetes using a pharmacist supervised comprehensive medication management

Objective

The primary objective was to develop a computerized culturally adapted health literacy intervention for older Hispanics with type 2 diabetes (T2D). Secondary objectives were to assess the usability and acceptability of the intervention by older Hispanics with T2D and clinical pharmacists providing comprehensive medication management (CMM).

Materials and methods

The study occurred in three phases. During phase I, an integration approach (i.e., quantitative assessments, qualitative interviews) was used to develop the intervention and ensure cultural suitability. In phase II, the intervention was translated to Spanish and modified based on data obtained in phase I. During phase III, the intervention was tested for usability/acceptability.

Results

Thirty participants (25 older Hispanics with T2D, 5 clinical pharmacists) were included in the study. Five major themes emerged from qualitative interviews and were included in the intervention: 1) financial considerations, 2) polypharmacy, 3) social/family support, 4) access to medication/information, and 5) loneliness/sadness. Participants felt the computerized intervention developed was easy to use, culturally appropriate, and relevant to their needs. Pharmacists agreed the computerized intervention streamlined patient counseling, offered a tailored approach when conducting CMM, and could save them time.

Conclusion

The ability to offer individualized patient counseling based on information gathered from the computerized intervention allows for precision counseling. Future studies are needed to determine the effectiveness of the developed computerized intervention on adherence and health outcomes.

The Relationship Between Financial Worries and Psychological Distress Among U.S. Adults

This study examines the association between financial worries and psychological distress among US adults and tests its moderating effects by gender, marital status, employment status, education, and income levels. Data were derived from the cross-sectional 2018 National Health Interview Survey (NHIS) of the adult population. The hierarchical regression analysis revealed that higher financial worries were significantly associated with higher psychological distress. Additionally, the association between financial worries and psychological distress was more pronounced among the unmarried, the unemployed, lower-income households, and renters than their counterparts. The findings suggest that accessible financial counseling programs and public health intervention programs are needed to mitigate financial worries and its negative influences on overall psychological health, with greater attention devoted to vulnerable populations.

A Scoping Review of Behavioral Interventions Addressing Medical Financial Hardship

Little information has been compiled across studies about existing interventions to mitigate issues of medical financial hardship, despite growing interest in health care delivery. The purpose of this qualitative systematic scoping review was to examine content and outcomes of interventions to address medical financial hardship. PRISMA guidelines were applied to present results using PubMed, Scopus, and CINAHL, published between January 1980 and August 2020. Additional studies were identified through reference lists of selected papers. Included studies focused on mitigating medical financial hardship from out-of-pocket (OOP) health care expenses as an intervention strategy with at least 1 evaluation component. Screening 2412 articles identified 339 articles for full-text review, 12 of which met inclusion criteria. Variation was found regarding targets and outcome measurement of intervention. Primary outcomes were in the following categories: financial outcomes (eg, OOP expenses), behavioral outcomes, psychosocial, health care utilization, and health status. No included studies reported significant reduction in OOP expenses, perceptions of financial burden/toxicity, or health status. However, changes were observed for behavioral outcomes (adherence to treatment, patient needs addressed), some psychosocial outcomes (mental health symptoms, perceived support, patient satisfaction), and care utilization such as routine health care. No patterns were observed in the achievement of outcomes across studies based on intensity of intervention. Few rigorous studies exist in this emerging field, and studies have not shown consistent positive effects. Future research should focus on conceptual clarity of the intervention, align outcome measurement and achieve consensus around outcomes, and employ rigorous study designs, measurement, and outcome follow-up.

Lifestyle Medicine and Economics: A Proposal for Research Priorities Informed by a Case Series of Disease Reversal

Chronic disease places an enormous economic burden on both individuals and the healthcare system, and existing fee-for-service models of healthcare prioritize symptom management, medications, and procedures over treating the root causes of disease through changing health behaviors. Value-based care is gaining traction, and there is a need for value-based care models that achieve the quadruple aim of (1) improved population health, (2) enhanced patient experience, (3) reduced healthcare costs, and (4) improved work life and decreased burnout of healthcare providers. Lifestyle medicine (LM) has the potential to achieve these four aims, including promoting health and wellness and reducing healthcare costs; however, the economic outcomes of LM approaches need to be better quantified in research. This paper demonstrates proof of concept by detailing four cases that utilized an intensive, therapeutic lifestyle intervention change (ITLC) to dramatically reverse disease and reduce healthcare costs. In addition, priorities for lifestyle medicine economic research related to the components of quadruple aim are proposed, including conducting rigorously designed research studies to adequately measure the effects of ITLC interventions, modeling the potential economic cost savings enabled by health improvements following lifestyle interventions as compared to usual disease progression and management, and examining the effects of lifestyle medicine implementation upon different payment models.

Association between Financial Hardship and Symptom Burden in Patients Receiving Maintenance Dialysis: A Systematic Review

BACKGROUND

Many patients on maintenance dialysis experience financial hardship. Existing studies are mainly cost analyses that quantify financial hardship in monetary terms, but an evaluation of its impact is also warranted. This review aims to explore the definition of financial hardship and its relationship with symptom burden among patients on dialysis.

METHODS

A literature search was conducted in November 2020, using six electronic databases. Studies published in English that examined the associations between financial hardship and symptom burden were selected. Two reviewers independently extracted data and appraised the studies by using the JBI Critical Appraisal Checklists.

RESULTS

Fifty cross-sectional and seven longitudinal studies were identified. Studies used income level, employment status, healthcare funding, and financial status to evaluate financial hardship. While relationships between decreased income, unemployment, and overall symptom burden were identified, evidence suggested that several symptoms, including depression, fatigue, pain, and sexual dysfunction, were more likely to be associated with changes in financial status.

CONCLUSION

Our findings suggest that poor financial status may have a negative effect on physical and psychological well-being. However, a clear definition of financial hardship is warranted. Improving this assessment among patients on dialysis may prompt early interventions and minimize the negative impact of financial hardship.

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.

Like a Grinding Stone: How Crowdfunding Platforms Create, Perpetuate, and Value Health Inequities

This article explores how inequities are reproduced by, and valued within, the increasingly ubiquitous world of medical crowdfunding. As patients use platforms like GoFundMe to solicit donations for health care, success stories inundate social media. But most crowdfunders experience steep odds and marginal benefits. Drawing on the problematic figure of the "black box" in health disparities research and technology studies, I offer ethnography as a tool for unpacking often inscrutable and complex pathways through which online platforms amplify inequities. By leveraging both online and traditional research strategies-a platform analysis and paired narratives of crowdfunders' disparate experiences, drawn from open-ended interviews-this article explores how inequities are created and experienced by users. The analysis highlights how inequities are simultaneously central to the functioning of this marketplace and occluded by its platform design. Consequently, crowdfunding is concealing health inequities while shifting public values about who is entitled to health care, and why.

Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018

IMPORTANCE

The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades.

OBJECTIVE

To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US.

DESIGN, SETTING, AND PARTICIPANTS

Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults.

EXPOSURES

Self-reported race, ethnicity, and income level.

MAIN OUTCOMES AND MEASURES

Rates and racial and ethnic differences in self-reported health status and health care access and affordability.

RESULTS

The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification.

CONCLUSIONS AND RELEVANCE

In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.

High Out-of-pocket Health Care Cost Burden Among Medicare Beneficiaries With Diabetes, 1999-2017

OBJECTIVE

We examined the magnitude of and trends in the burden of out-of-pocket (OOP) costs among Medicare beneficiaries age 65 years or older with diabetes overall, by income level, by race/ethnicity, and compared with beneficiaries without diabetes.

RESEARCH DESIGN AND METHODS

Using data from the 1999-2017 Medicare Current Beneficiary Survey, we estimated average annual per capita OOP costs and percentage of beneficiaries experiencing high OOP burden, defined as OOP costs >10% or >20% of household income. We used joinpoint regression to examine the trends and generalized linear model and logistic regression for comparisons between beneficiaries with and without diabetes. Cost and income estimates were adjusted to 2017 USD.

RESULTS

Total OOP costs were $3,609-$5,283, with significant increases until 2005 followed by a leveling off. The prevalence of high OOP burden was 57%-72% at the 10% income threshold and 29%-41% at the 20% threshold, with significant increasing trends until 2003 followed by decreases. Total OOP costs were the highest in the ≥75% income quartile, whereas prevalence of high OOP burden was highest in the <25% and 25-50% income quartiles. Non-Hispanic Whites had the highest OOP costs and prevalence of high OOP burden. Beneficiaries with diabetes had significantly higher OOP costs ($498, P < 0.01) and were more likely to have high OOP burden than those without diabetes (odds ratios 1.32 and 1.25 at >10% and >20% thresholds, respectively, P < 0.01).

CONCLUSIONS

Over the past two decades, Medicare beneficiaries age 65 years or older with diabetes have faced substantial OOP burden, with large income-related disparities.

Prevalence and Effects of Food Insecurity and Social Support on Financial Toxicity in and Healthcare Use by Patients With Inflammatory Bowel Diseases

BACKGROUND & AIMS

We estimated the prevalence of social determinants of health (SDH, food insecurity and social support) in adults with inflammatory bowel diseases (IBD) in the United States and evaluated associations with financial toxicity and healthcare use.

METHODS

In the National Health Interview Survey 2015, we identified adults with IBD and estimated the prevalence of food insecurity and/or lack of social support. We evaluated associations with financial toxicity (financial hardship due to medical bills, personal and health-related financial distress, cost-related medication nonadherence, healthcare affordability) and emergency department use.

RESULTS

Of estimated 3.1 million adults with IBD in the US, 42% or estimated 1,277,215 patients with IBD reported at least one negative SDH, with 12% reporting both food insecurity and lack of social support. On multivariable analysis adjusting for age, sex, race, family income and comorbidities, patients with food insecurity were significantly more likely to experience financial hardship due to medical bills (odds ratio [OR], 3.31; 95% CI, 1.48-7.39), financial distress (OR, 6.92; 95% CI, 2.28-21.0) and cost-related medication non-adherence (OR, 8.07; 95% CI, 3.16-20.6). Similarly, patients with inadequate social support were significantly more likely to experience financial hardship due to medical bills (OR, 2.98; 95% CI, 1.56-5.67), financial distress (OR, 3.05; 95% CI, 1.64-5.67) and cost-related medication non-adherence (OR, 2.71; 95% CI, 1.10-6.66). Food insecurity and/or lack of social support was not associated with increased risk of emergency department use.

CONCLUSIONS

In an analysis of data from the National Health Interview Survey 2015, we found that 1 in 8 patients with IBD have food insecurity and lack social support, which is associated with higher financial toxicity. Patients with IBD should be assessed for SDH to tailor healthcare delivery and improve population health.

Financial Hardship Among Nonelderly Adults With CKD in the United States

RATIONALE & OBJECTIVE

The burden of financial hardship among individuals with chronic kidney disease (CKD) has not been extensively studied. Therefore, we describe the scope and determinants of financial hardship among a nationally representative sample of adults with CKD.

STUDY DESIGN

Cross-sectional.

SETTING & PARTICIPANTS

Nonelderly adults with CKD from the 2014-2018 National Health Interview Survey.

EXPOSURE

Sociodemographic and clinical characteristics.

OUTCOME

Financial hardship based on medical bills and consequences of financial hardship (high financial distress, food insecurity, cost-related medication nonadherence, delayed/forgone care due to cost). Financial hardship was categorized into 3 levels: no financial hardship, financial hardship but able to pay bills, and unable to pay bills at all. Financial hardship was then modeled in 2 different ways: (1) any financial hardship (regardless of ability to pay) versus no financial hardship and (2) inability to pay bills versus no financial hardship and financial hardship but able to pay bills.

ANALYTICAL APPROACH

Nationally representative estimates of financial hardship from medical bills were computed. Multivariable logistic regression models were used to examine the associations of sociodemographic and clinical factors with the outcomes of financial hardship based on medical bills.

RESULTS

A total 1,425 individuals, representing approximately 2.1 million Americans, reported a diagnosis of CKD within the past year, of whom 46.9% (95% CI, 43.7%-50.2%) reported experiencing financial hardship from medical bills; 20.9% (95% CI, 18.5%-23.6%) reported inability to pay medical bills at all. Lack of insurance was the strongest determinant of financial hardship in this population (odds ratio, 4.06 [95% CI, 2.18-7.56]).

LIMITATIONS

Self-reported nature of CKD diagnosis.

CONCLUSIONS

Approximately half the nonelderly US population with CKD experiences financial hardship from medical bills that is associated strongly with lack of insurance. Evidence-based clinical and policy interventions are needed to address these hardships.

Association between household debt and depressive mood among Chinese residents

OBJECTIVES

The aim of this study was to examine the association of household debt and depressive mood among Chinese adults and to evaluate whether the association varies across types of debt.

STUDY DESIGN

This is a secondary data analysis of a nationally representative survey.

METHODS

A prospective cohort study of participants was drawn from the China Family Panel Studies (CFPS). In total, 5135 participants had their depressive mood measured in the CFPS starting from 2014 to 2016 and had participated in the biennial survey. We used logistic regression models to identify predictors of depressive mood with debts, sociodemographic factors, health status factors and health behaviors factors. Adjusted for all measured covariates, we conducted an independent analysis for the experience of housing loans from formal institutions (HLFI), other loans from formal institutions (OLFI), housing loans from relatives and friends (HLRF) and other loans from relatives and friends (OLRF).

RESULTS

Multiple logistic regression analyses revealed that household debt was a significant risk factor for depressive mood (1.35; 95% confidence interval [CI], 1.19-1.54), after controlling for potential confounders. Independent analysis revealed that HLFI was not a significant predictor, while HLRF (1.26; 95% CI, 1.08-1.48), OLFI (1.45; 95% CI, 1.13-1.87) and OLRF (1.23; 95% CI, 1.02-1.47) remained significant risk factors.

CONCLUSION

OLFI, HLRF and OLRF were associated with depressive mood, while HLFI was not. To address the problem of individual depressive mood, its apparent association with household debt should be paid more attention.