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

Author(s):  
Reed Mszar ◽  
Gowtham R. Grandhi ◽  
Javier Valero‐Elizondo ◽  
César Caraballo ◽  
Rohan Khera ◽  
...  
Author(s):  
César Caraballo ◽  
Javier Valero-Elizondo ◽  
Rohan Khera ◽  
Shiwani Mahajan ◽  
Gowtham R. Grandhi ◽  
...  

Background: The trend of increasing total and out-of-pocket expenditure among patients with diabetes mellitus represents a risk of financial hardship for Americans and a threat to medical and nonmedical needs. We aimed to describe the national scope and associated tradeoffs of financial hardship from medical bills among nonelderly individuals with diabetes mellitus. Methods and Results: We used the National Health Interview Survey data from 2013 to 2017, including adults ≤64 years old with a self-reported diagnosis of diabetes mellitus. Among 164 696 surveyed individuals, 8967 adults ≤64 years old reported having diabetes mellitus, representing 13.1 million individuals annually across the United States. The mean age was 51.6 years (SD 10.3), and 49.1% were female. A total of 41.1% were part of families that reported having financial hardship from medical bills, with 15.6% reporting an inability to pay medical bills at all. In multivariate analyses, individuals who lacked insurance, were non-Hispanic black, had low income, or had high-comorbidity burden were at higher odds of being in families with financial hardship from medical bills. When comparing the graded categories of financial hardship, there was a stepwise increase in the prevalence of high financial distress, food insecurity, cost-related nonadherence, and foregone/delayed medical care, reaching 70.5%, 49.4%, 49.5%, and 74% among those unable to pay bills, respectively. Compared with those without diabetes mellitus, individuals with diabetes mellitus had higher odds of financial hardship from medical bills (adjusted odds ratio [aOR], 1.27 [95% CI, 1.18–1.36]) or any of its consequences, including high financial distress (aOR, 1.14 [95% CI, 1.05–1.24]), food insecurity (aOR, 1.27 [95% CI, 1.16–1.40]), cost-related medication nonadherence (aOR, 1.43 [95% CI, 1.30–1.57]), and foregone/delayed medical care (aOR, 1.30 [95% CI, 1.20–1.40]). Conclusions: Nonelderly patients with diabetes mellitus have a high prevalence of financial hardship from medical bills, with deleterious consequences.


Hepatology ◽  
2021 ◽  
Author(s):  
Carlos Lago‐Hernandez ◽  
Nghia H. Nguyen ◽  
Rohan Khera ◽  
Rohit Loomba ◽  
Sumeet K. Asrani ◽  
...  

2021 ◽  
Vol 77 (18) ◽  
pp. 785
Author(s):  
Hyeon-Ju Ali ◽  
Javier Valero Elizondo ◽  
Stephen Yishu Wang ◽  
Arvind Bhimaraj ◽  
Safi Khan ◽  
...  

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Aditi Malhotra ◽  
Hal A Skopicki ◽  
Smadar Kort ◽  
Noelle Mann ◽  
Puja Parikh

Background: There is a paucity of data regarding prevalence of cardiovascular disease (CVD) and corresponding cardiovascular (CV) risk factors in transgender individuals. We sought to assess the prevalence of CV risk factors and CVD in transgender persons in the United States. Methods: The 2018 Centers for Disease Control’s Behavioral Risk Factor Surveillance Survey was utilized to identify a cohort of 1,038 transgender individuals in the United States. Presence of CVD was noted with a single affirmative response to the following questions: “Has a health care professional ever told you that you had any of the following:” (1) a heart attack or myocardial infarction, (2) angina or coronary heart disease, (3) a stroke? Results: Among the 1,038 transgender individuals studied, a total of 145 (14.0%) had CVD while 893 (86.0%) did not. No differences in prevalence of CVD was noted in transgender individuals who transitioned from male-to-female (n=387), female-to-male (n=400), and gender nonconforming status (n=251) (15.0% vs 13.8% vs 12.7%, p=0.72). Transgender individuals with CVD were older, had lower annual income, higher rates of smoking (28.4% vs 18.1%, p=0.004), and higher rates of multiple co-morbidities including asthma (26.6% vs 17.4%, p = 0.009), skin cancer (21.8% vs 5.0%, p <0.001), non-skin cancers (16.8% vs 6.8%, p <0.001), chronic obstructive pulmonary disease (27.5% vs 7.0%, p <0.001), arthritis (65.3% vs 28.7%, p<0.001), depressive disorder (42.7% vs 31.0%, p= 0.006), chronic kidney disease (16.2% vs 3.3%, p< 0.001), and diabetes mellitus (42.0% vs 12.7%, p <0.001). No significant differences in race, health insurance status, or body mass index was noted between transgender individuals with CVD versus those without. In multivariable analysis, independent predictors of CVD in transgender individuals included older age, diabetes mellitus [odds ratio (OR) 2.82, 95% confidence interval (CI) 1.73 - 4.58], chronic kidney disease (OR 3.69, 95% CI 1.80 - 7.57), chronic obstructive pulmonary disease (OR 2.18, 95% CI 1.19 - 3.99), and depressive disorder (OR 1.82, 95% CI 1.09 - 3.03). Conclusions: In this observational contemporary study, CVD was prevalent in 14% of transgender individuals in the United States. Predictors of CVD in the transgender population exist and transgender persons should be appropriately screened for CV risk factors so as to minimize their risk of CVD.


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