Racial disparities in medical expenditures within body weight categories

Trends in Obesity and Medical Expenditure among Women with Diabetes, 2008-2016: Differences by Race/Ethnicity

Objectives

Diabetes results in $327 billion in medical expenditures annually, while obesity, a risk factor for type 2 diabetes, leads to more than $147 billion in expenditure annually. The aims of this study were: 1) to evaluate racial/ethnic trends in obesity and medical expenditures; and 2) to assess incremental medical expenditures among a nationally representative sample of women with diabetes.

Methods

Nine years of data (2008-2016) from the Medical Expenditure Panel Survey Full Year Consolidated File (unweighted = 11,755; weighted = 10,685,090) were used. The outcome variable was medical expenditure. The primary independent variable was race/ethnicity defined as non-Hispanic Black (NHB), Hispanic, or non-Hispanic White (NHW). Covariates included age, education, marital status, income, insurance, employment, region, comorbidity, and year. Cochran-Armitage tests determined statistical significance of trends in obesity and mean expenditure. Two-part modeling using Probit and gamma distribution was used to assess incremental medical expenditure. Data were clustered to 2008-2010, 2011-2013, 2014-2016.

Results

Trends in medical expenditures differed significantly between NHB and NHW women between 2008-2016 (P<.001). Hispanic women paid $1,291 less compared with NHW women, after adjusting for relevant covariates. There were no significant differences in obesity trends from 2008-2016 between NHB (P=.989) or Hispanic women with diabetes (P=.938) compared with NHW women with diabetes.

Conclusions

These findings suggest the need to further understand the factors associated with differences in trends for medical expenditures between NHB and NHW women with diabetes and incremental medical expenditures in Hispanic women with diabetes compared with NHW women with diabetes.

Comparison of the Financial Burden of Survivors of Head and Neck Cancer With Other Cancer Survivors

Importance

Head and neck cancer (HNC) is more common among socioeconomically disenfranchised individuals, making financial burden particularly relevant.

Objective

To assess the financial burdens of HNC compared with other cancers.

Design, Setting, and Participants

In this retrospective review of nationally representative, publicly available survey, data from the Medical Expenditure Panel Survey were extracted from January 1, 1998, to December 31, 2015. A total of 444 867 adults were surveyed, which extrapolates to a population of 221 503 108 based on the weighted survey design. Data analysis was performed from April 18, 2018, to August 20, 2018.

Exposures

Of 16 771 patients with cancer surveyed (weighted count of 10 083 586 patients), 489 reported HNC (weighted count of 261 631).

Main Outcomes and Measures

Patients with HNC were compared with patients with other cancers on demographics, income, employment, and health. Within the HNC group, risk factors for total medical expenses and relative out-of-pocket expenses were assessed with regression modeling. Complex sampling methods were accounted for with weighting using balanced repeated replication.

Results

A total of 16 771 patients (mean [SD] age, 62.3 [18.9] years; 9006 [53.7%] female) with cancer were studied. Compared with patients with other cancers, patients with HNC were more often members of a minority race/ethnicity, male, poor, publicly insured, and less educated, with lower general and mental health status. Median annual medical expenses ($8384 vs $5978; difference, $2406; 95% CI, $795-$4017) and relative out-of-pocket expenses (3.93% vs 3.07%; difference, 0.86%; 95% CI, 0.06%-1.66%) were higher for patients with HNC than for patients with other cancers. Among patients with HNC, median expenses were lower for Asian individuals compared with white individuals ($5359 vs $10 078; difference, $4719; 95% CI, $1481-$7956]), Westerners ($8094) and Midwesterners ($5656) compared with Northwesterners ($10 549), and those with better health status ($16 990 for those with poor health vs $6714 for those with excellent health). Higher relative out-of-pocket expenses were associated with unemployment (5.13% for employed patients vs 2.35% for unemployed patients; difference, 2.78%; 95% CI, 0.6%-4.95%), public insurance (5.35% for those with public insurance vs 2.87% for those with private insurance; difference, 2.48%; 95% CI, -0.6% to 5.55%), poverty (13.07% for poor patients vs 2.06% for high-income patients), and lower health status (10.2% for those with poor health vs 1.58% for those with excellent health).

Conclusions and Relevance

According to this study, HNC adds a substantial, additional burden to an already financially strained population in the form of higher total and relative expenses. The financial strain on individuals, assessed as relative out-of-pocket expenses, appears to be driven more by income than by health factors, and health insurance does not appear to be protective.

Estimating the Medical Care Costs of Obesity in the United States: Systematic Review, Meta-Analysis, and Empirical Analysis

BACKGROUND

The prevalence of adult obesity exceeds 30% in the United States, posing a significant public health concern as well as a substantial financial burden. Although the impact of obesity on medical spending is undeniably significant, the estimated magnitude of the cost of obesity has varied considerably, perhaps driven by different study methodologies.

OBJECTIVES

To document variations in study design and methodology in existing literature and to understand the impact of those variations on the estimated costs of obesity.

METHODS

We conducted a systematic review of the twelve recently published articles that reported costs of obesity and performed a meta-analysis to generate a pooled estimate across those studies. Also, we performed an original analysis to understand the impact of different age groups, statistical models, and confounder adjustment on the magnitude of estimated costs using the nationally representative Medical Expenditure Panel Surveys from 2008-2010.

RESULTS

We found significant variations among cost estimates in the existing literature. The meta-analysis found that the annual medical spending attributable to an obese individual was $1901 ($1239-$2582) in 2014 USD, accounting for $149.4 billion at the national level. The two most significant drivers of variability in the cost estimates were age groups and adjustment for obesity-related comorbid conditions.

CONCLUSIONS

It would be important to acknowledge variations in the magnitude of the medical cost of obesity driven by different study design and methodology. Researchers and policy-makers need to be cautious on determining appropriate cost estimates according to their scientific and political questions.

Diet quality and body mass index are associated with health care resource use in rural older adults

Health care resource consumption is a growing concern. The aim of this study was to examine the associations between diet quality and body mass index with health care resource use (HRU) in a cohort of advanced age. Participants in the Geisinger Rural Aging Study (n=5,993) were mailed demographic and dietary questionnaires in 2009. Of those eligible, 2,995 (50%; 1,267 male, 1,728 female; mean age 81.4±4.4 years) provided completed surveys. Multivariate negative binomial models were used to estimate relative risk and 95% CI of HRU outcomes with diet quality as assessed by the Dietary Screening Tool score and body mass index determined from self-reported height and weight. Poor diet quality was associated with a 20% increased risk for emergency room (ER) visits. Fruit and vegetable consumption was grouped into quintiles of intake, with the highest quintile serving as the reference group in analyses. The three lowest fruit and vegetable quintiles were associated with increased risk for ER visits (23% to 31%); the lowest quintile increased risk for inpatient visits (27%). Obesity increased risk of outpatient visits; however, individuals with class I obesity were less likely than normal-weight individuals to have ER visits (relative risk=0.84; 95% CI 0.70 to 0.99). Diets of greater quality, particularly with greater fruit and vegetable intake, are associated with favorable effects on HRU outcomes among older adults. Overweight and obesity are associated with increased outpatient HRU and, among obese individuals, with decreased ER visits. These findings suggest that BMI and diet quality beyond age 74 years continue to affect HRU measures.