Medical Expenditure Panel Survey Data Research Articles

Use and Cost Patterns of Antihypertensive Medications in the United States From 1996 to 2021.

Antihypertensive medication use patterns have likely been influenced by changing costs and accessibility over the past 3 decades. This study examines the relationships between patent exclusivity loss, medication costs, and national health policies on antihypertensive medication use. Using 1996 to 2021 Medical Expenditure Panel Survey data of US adults with hypertension taking at least 1 antihypertensive medication, we conducted a cross-sectional analysis. We explored the associations between patent exclusivity loss, per-pill costs, and Medicare Part D enactment on medication use over time, focusing on the most commonly used medications (lisinopril, amlodipine, losartan, hydrochlorothiazide, and metoprolol). The unweighted sample comprised 50 095 US adults (mean age, 62 years; 53% female). The survey-weighted number of adults taking antihypertensive medications increased from 22 million (95% CIs, 20-23 million) to 55 million (95% CI, 51-60 million) between 1996 and 2021. Loss of patent exclusivity led to increased medication fills, notably for lisinopril, amlodipine, and losartan, which all exhibited within-class dominance. However, per-pill cost decreases coinciding with Medicare Part D did not increase the number of individuals treated or the use of specific antihypertensive medications or classes. The increase in antihypertensive medication use over the past decades highlights the significant impact of loss of patent exclusivity on the uptake in the use of specific medications. These findings underscore the complexity of factors influencing medication use, beyond cost reductions alone, and suggest that policies need to consider multiple facets to effectively improve antihypertensive medication accessibility and utilization.

The Effect of Mandatory Medicaid HMOs on Health Access, Utilization, and Health Outcomes for Children

ObjectiveMandatory enrollment into Medicaid-contracted Health Maintenance Organizations (HMOs) is the most common form of Medicaid managed care (MMC), but the effects of this enrollment on children are unclear. We leveraged variation in MMC implementation within and across states over time to examine the effect of mandatory Medicaid HMO enrollment on children’s access, utilization, and health outcomes. MethodsUsing Medical Expenditure Panel Survey data from 2000 to 2018 and multivariable regression models, we estimated the effects of living in a county with mandatory Medicaid HMO enrollment only, compared to other MMC types and FFS combined in one comparison group, on outcomes for children under 18 years. We also evaluated potential effect heterogeneity across age, race/ ethnicity, and for children with special healthcare needs (CSHCNs). ResultsThere were small and non-significant associations between mandatory HMO enrollment and most outcome measures. However, mandatory HMO enrollment was associated with a 1.8 percentage-point decline in the likelihood of having a usual source of care,95% CI[-0.035,-0.001], a 4.2 percentage-point increase in the likelihood of delayed access to care,95% CI[0.012,0.072], and a 2.2 percentage-point reduction in the likelihood of having any outpatient physician visits, 95% CI[-0.043,-0.0004], compared to other MMC and FFS combined in one group. Mandatory HMO enrollment was associated with more difficulty seeing a specialist for CSHCNs. ConclusionsOverall, there is little evidence that mandatory Medicaid HMO enrollment has discernable and consistent effects across a broad range of outcomes. Evaluating how mandatory Medicaid HMOs affect more nuanced healthcare measures especially for children with greater healthcare needs remains an important future research question.

The Burden of Food Insecurity on Quality of Life in Adults with Diabetes.

Background: This study aimed to investigate the relationship between food insecurity and physical- and mental-health-related quality of life in adults with diabetes. Methods: Using two years of national Medical Expenditure Panel Survey data (2016-2017), we investigated the relationship between food insecurity and physical-health-related (PCS) and mental-health-related (MCS) quality of life in adults with diabetes. PCS and MCS were measured with the Short-Form 12 health survey and food insecurity was measured with the USDA 10-item adult scale. Analyses were weighted to represent the US adult population. Adjusted linear regression models, including covariates of age, gender, education, race/ethnicity, marital status, region, poverty level, employment status, health insurance, and comorbidities were used. Results: After adjustment, food-insecure adults with diabetes maintained significantly lower quality of life compared to food-secure adults with diabetes (PCS: -3.44, 95%CI -4.63, -2.25; MCS: -5.37, 95%CI -6.68, -4.06). This drop in PCS was larger than the drop for chronic conditions, including arthritis (-3.77, 95%CI -5.02, -2.52), emphysema (-2.82, 95%CI -5.12, -0.53), stroke (-2.63, 95%CI -4.11, -1.15), cancer (-2.59, 95%CI -4.00, -1.17), and heart attack (2.58, 95%CI 4.68, 0.48). Similarly, the drop for MCS was larger than for chronic pain (-2.37, 95%CI -3.24, -1.50) and arthritis (-1.31, 95%CI -2.28, -0.33). Conclusions: Food insecurity was associated with a significant reduction in both physical- and mental-health-related quality of life in adults with diabetes, with a magnitude of effect greater than adjusted estimates for the drop in quality of life for key chronic conditions. Addressing food insecurity through integration of social and medical care may lead to improvements in quality of life for adults with diabetes.

The Impact of Closing Medicare Part D Coverage Gap on Mental Health of Adults Over Age 65.

Using Medical Expenditure Panel Survey data from 2006 to 2019, this study assessed the effect of closing Medicare Part D coverage gap on mental health of older adults. We employed difference-in-differences and compared mental health outcomes of older adults on Medicare with those on private insurance before and after the 2011 policy change. Findings showed a 0.447-point reduction in the Kessler Index 6 (K-6) score after closure. These findings were mainly attributable to women, Hispanics, individuals with multiple chronic conditions, and those in Traditional Medicare. A reduction in out-of-pocket (OOP) expenditures appeared to be the primary mechanism for this finding. Our analysis was robust to several specifications, including using different measures of mental health and alternate constructions of treatment and control groups. The closure of the Medicare Part D coverage gap improved mental health among beneficiaries, potentially by reducing financial strain associated with high OOP expenditures.

National Trends in Aspirin Use and Expenditures in the United States: Analysis of The Medical Expenditure Panel Survey 2000-2021.

Since its invention in 1897, aspirin (ASA) has been the most widely used and cost-effective antiplatelet agent to prevent and treat atherosclerotic cardiovascular disease (ASCVD). We aimed to study the trends and expenditures associated with ASA use in the USA. We conducted a serial cross-sectional analysis using the Medical Expenditure Panel Survey data from January 2000 to December 2021, focusing on adults aged ≥ 40years. Total and out-of-pocket expenditures associated with ASA were estimated to 2021 US dollars (USD). Trends, demographics, and predictors of ASA use among patients with and without ASCVD were also evaluated. A total of 53million adults were identified during the study period. The number of ASA users increased from 2.9million to 6.6million with increased female (36.7%-49.7%; ptrend = 0.02) and African American (13%-18.9%; ptrend = 0.03) representation amongst all ASA users during the survey period. The use of low-dose ASA increased, while high-dose ASA declined significantly. Only 50% of all ASA users had known ASCVD. The most prevalent ASA users among patients with ASCVD were those aged ≥ 70years, while patients without ASCVD, it was the 50-69 age group. The total annual expenditure on ASA averaged approximately 60million USD, with 27.3million USD out-of-pocket. Total and low-dose (81mg) ASA use has increased, while high-dose (325mg) ASA has declined. ASA use for primary prevention has risen among adults aged 50-69years, and patients ≥ 70years continue to use ASA without known ASCVD. Further studies are needed to understand the implications of increased ASA use, especially among those without ASCVD.

Factors associated with physical and psychological wellness of American adults with asthma

Objective: The study objective was to investigate the factors associated with the physical and psychological wellness of United States (US) adults with asthma.Methods: This cross-sectional analysis used a sample of 2329 US adults with asthma in the 2021 Medical Expenditure Panel Survey data. A logistic regression model investigated the association of the following factors and the dependent variables (physical wellness and psychological wellness): age, sex, race, ethnicity, education, employment, healthcare provision, marriage, income, regular physical activity, current smoker, pain, and limitations. Nationally representative estimates were produced through a weighted analysis. The data structure was maintained using cluster and strata variables. The alpha limit was 0.05.Results: Factors associated with higher odds of reporting good physical wellness included: private (versus no) healthcare provision (odds ratio [OR] = 2.63, 95% confidence interval [CI] = 1.10–6.26), good (versus poor) psychological wellness (OR = 6.83, 95% CI = 4.35–10.72), regular (versus no regular) physical activity (OR = 2.18, 95% CI = 1.42–3.34), little/moderate (versus quite a bit/extreme) pain (OR = 3.51, 95% CI = 2.38–5.15) and no (versus any) limitation (OR = 3.73, 95% CI = 2.30–6.06). In the psychological wellness model, those aged ≥70 (OR = 6.18, 95% CI = 2.72–14.07), 60–69 (OR = 4.64, 95% CI = 2.13–10.10), and 50–59 (OR = 4.96, 95% CI = 2.24–11.02) versus those aged 18–29, and good (versus poor) physical wellness (OR = 6.89, 95% CI = 4.34–10.94) were associated with higher odds of reporting good versus poor psychological wellness.Conclusion: These results may be helpful at targeting resources to optimize the wellness of US adults with asthma. Additional studies are needed to determine any temporal associations between these findings.

A Longitudinal Analysis of Long Working Hours and the Onset of Psychological Distress

Abstract OBJECTIVES There is a paucity of longitudinal studies examining the relationship between working hours and the development of Psychological Distress (PD) among U.S. workers. This study utilized a longitudinal approach to examine this relationship. METHODS The 2010-2019 Medical Expenditure Panel Survey (MEPS) data was utilized. PD was analyzed among full-time U.S. employees without PD at baseline using a fixed effect approach. RESULTS The sample comprised 27,548 full-time workers. Individuals working 61 hours or more weekly had the highest risk of PD onset, at 9.9% (95% Confidence Interval, CI = 1.9% - 17.8%, p < 0.05), compared to those working 30-35 hours weekly. Interestingly, an increased risk of PD onset was found among individuals working 36-40 hours per week at 6.6% (CI = 1.5% - 11.6%%, p < 0.05). CONCLUSION Long working hours were associated with the increased development of PD.

Medical costs and incremental medical costs of asthma among workers in the United States.

Asthma, a chronic respiratory disease, is associated with high economic burden. This study estimates per-worker medical and incremental medical costs associated with treated asthma by socioeconomic and demographic characteristics, industries, medical events, and sources of payments for workers aged ≥18 years. We analyzed Medical Expenditure Panel Survey data from 2018 to 2020 to assess medical costs for treated asthma among workers using the International Classification of Diseases, Tenth Revision, Clinical Modification code for asthma (J45). We used two-part regression models to estimate medical and incremental medical costs controlling for covariates. All results are adjusted for inflation and presented in 2022 US dollar values. An estimated annual average of 8.2 million workers out of 176 million had at least one medical event associated with treated asthma. The annualized estimated per-worker incremental medical costs for those with treated asthma was $457 and was highest among: those in the age group of 35-44 years ($534), in the western region ($768), of Hispanic ethnicity ($693), employed in the utility and transportation industries ($898), males ($650), and for inpatient admissions ($754). The total annualized medical costs of treated asthma was $21 billion and total of incremental medical costs was $3.8 billion. Findings of higher incremental medical costs for treated asthma among workers in certain socioeconomic, demographic, and industry groups highlight the economic benefit of prevention and early intervention to reduce morbidity of asthma in working adults. Our results suggest that the per-person incremental medical costs of treated asthma among workers are lower than that for all US adults.

Investigating the Variables Associated with Physical Exercise Status among United States Adults with Arthritis.

Background/Objectives: Arthritis is a chronic, debilitating condition affecting millions of United States (US) adults. Regular physical exercise is particularly important for adults with arthritis. This study aimed to investigate the characteristics associated with regular physical exercise in US adults with arthritis. Methods: This cross-sectional database study used 2021 Medical Expenditure Panel Survey data and included US adults (age ≥ 18) alive with arthritis. A multivariable logistic regression model was developed to test the association of the following variables with regular physical exercise (defined as moderate-vigorous intensity exercise for ≥30 min ≥5 times weekly; yes, no): age, sex, Hispanic, race, census region, marriage status, schooling, employment, health insurance, household income, mental health, general health, smoking status, chronic conditions, pain, and functional limitations. Results: Overall, 5091 people (regular physical exercise n = 2331, no regular physical exercise n = 2760) were involved in this analysis. Most were female, non-Hispanic, white, married, had schooling beyond high school, were unemployed, had private health insurance, had mid-high household income, had good mental health, had good general health, were non-smokers, had two or more chronic conditions, had little/moderate pain, and did not have a functional limitation. In multivariable logistic regression analysis, male vs. female sex (odds ratio [OR] = 1.440, 95% confidence interval [CI] = 1.185-1.749), employed vs. unemployed (OR = 1.277, 95% CI = 1.005-1.624), good vs. poor general health (OR = 2.174, 95% CI = 1.673-2.824), little/moderate vs. quite a bit/extreme pain (OR = 1.418, 95% CI = 1.109-1.818), and no functional limitation (OR = 1.592, 95% CI = 1.282-1.980) were associated with higher odds of reporting regular physical exercise, while Midwest vs. West census region (OR = 0.698, 95% CI = 0.521-0.935) was associated with lower odds of reporting regular physical exercise. Conclusions: This study identified variables associated with regular physical exercise among US adults with arthritis. Further work is needed to develop interventions for characteristics that may help increase exercise and, subsequently, health outcomes in this population.

Understanding racial disparities in health care expenditures for cervical cancer.

Cervical cancer demonstrates a notable efficacy in treatment, evidenced by a 92% 5-year survival rate among cases diagnosed at a localized stage. In 2020, the estimated annual national expenditure for cervical cancer care amounted to $2.3 billion in the United States. Limited real-world data are available for racial disparities in health care expenditures for cervical cancer. To evaluate racial disparities associated with annual health care expenditures among patients diagnosed with cervical cancer in the United States. A retrospective observational cohort study of annual health care expenditures in patients with cervical cancer diagnosed during 2014-2019 was performed using the Medical Expenditure Panel Survey data. In addition to the descriptive weighted analysis, an unadjusted analysis of the annual health care expenditure was conducted. An adjusted linear regression model with log transformation of the outcome variable was used to evaluate the total annual health care expenditure as well as expenditures by category across the racial groups. Overall, 826 patients with cervical cancer were identified from the Medical Expenditure Panel Survey during 2014-2019. The majority were classified as White patients (81.2%) and in the age group of 45-64 years (44.65%). On average, the total annual health care expenditure was $11,537 (95% CI = $9,887-$13,186) among the White cohort, $10,659 (95% CI = $6,704-$14,614) among the African American cohort, and $8,726 (95% CI = $6,113-$11,340) among the Hispanic cohort. After adjusting for covariates, the average total annual health care expenditure for the Hispanic cohort was 35% of the total health care expenditure of the White cohort (P < 0.001) and 46% of the African American cohort's health care expenditure (P = 0.02). Specifically, adjusted costs of office-based and outpatient visits for the Hispanic cohort were 47% (P = 0.009) and 57% (P = 0.005) lower than for the White cohort, respectively. The total annual home health care expenditure for the African American cohort was 49% lower than White patients (P = 0.03), and the Hispanic cohort's total expenditure, excluding prescription medicines, was 57% lower than African American patients (P = 0.02). This study provides valuable information regarding the health care disparities that need to be addressed among certain minority races. Reducing the disparities in health care spending across racial groups should be included as a crucial element in tackling well-established health care inequities.

Disparities in Use of Novel Diabetes Medications by Insurance: A Nationally Representative Cohort Study.

Minority racial and ethnic populations have the highest prevalence of type 2 diabetes mellitus but lower use of sodium-glucose co-transporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1ra), novel medications that reduce morbidity and mortality. Observed disparities may be due to differences in insurance coverage, which have variable cost-sharing, prior authorization, and formulary restrictions that influence medication access. To assess whether racial/ethnic differences in SGLT2i and GLP1ra use differ by payer. Cross-sectional analysis of 2018 and 2019 Medical Expenditure Panel Survey data. Adults ≥ 18years old with diabetes. We defined insurance as private, Medicare, or Medicaid using ≥ 7months of coverage in the calendar year. We defined race/ethnicity as White (non-Hispanic) vs non-White (including Hispanic). The primary outcome was use of ≥ 1 SGLT2i or GLP1ra medication. We used multivariable logistic regression to assess the interaction between payer and race/ethnicity adjusted for cardiovascular, socioeconomic, and healthcare access factors. We included 4997 adults, representing 24.8 million US adults annually with diabetes (mean age 63.6years, 48.8%female, 38.8%non-White; 33.5% private insurance, 56.8% Medicare, 9.8% Medicaid). In our fully adjusted model, White individuals with private insurance had significantly more medication use versus non-White individuals (16.1% vs 8.3%, p < 0.001), which was similar for Medicare beneficiaries but more attenuated (14.7% vs 11.0%, p = 0.04). Medication rates were similar among Medicaid beneficiaries (10.0% vs 9.0%, p = 0.74). Racial/ethnic disparities in novel diabetes medications were the largest among those with private insurance. There was no disparity among Medicaid enrollees, but overall prescription rates were the lowest. Given that disparities vary considerably by payer, differences in insurance coverage may account for the observed disparities in SGLT2i and GLP1ra use. Future studies are needed to assess racial/ethnic differences in novel diabetes use by insurance formulary restrictions and out-of-pocket cost-sharing.

Health Care Expenditure in United States Adults With Heart Failure With and Without Diabetes

The health costs for heart failure (HF) among individuals with and without diabetes can help understand the conjoint burden of diabetes and HF. Using the 2008–2019 US national Medical Expenditure Panel Survey data including 2,019 adults with HF and a 2-part adjusted model, we estimated mean and adjusted incremental direct medical expenditures related to diabetes. The total direct expenditures for individuals with HF increased by 27%: $24,725 (95% confidence interval [CI]: $20,457-$28,993) in 2008-2009 to $31,426 (95% CI: $25,705-$37,147) in 2018-2019. The expenditures rose by 34% among those with diabetes. Inpatient costs represented the highest fraction of costs ∼ 43.3 % and were 8% higher among those with diabetes vs. those without diabetes. The drug costs accounted for 24% of all costs, increased by 44%, and were 86% higher among HF patients with diabetes vs. those without diabetes. The adjusted excess costs among individuals with HF and diabetes vs. HF without diabetes was $6,818 (95% CI: 2,241-11,395); the corresponding excess costs for drugs and medical costs other than drugs were $3,297 (95% CI: 2,168-4,426) and $3,554 (95% CI: -777-7,886). Among US adults with HF, the estimated adjusted total direct excess costs were $5.2 billion per year higher among individuals with diabetes vs. those without diabetes. In conclusion, diabetes is associated with substantially increased health care costs among patients with HF, suggesting the need for an integrated management of diabetes and HF.

Association of Number of Comorbid Conditions and Pain among United States Adults.

Studies have explored the association of particular conditions, or combinations of conditions, and pain among specific populations. However, there is limited information regarding the association of the number of comorbid conditions, as well as other demographic, economic, health, and limitation variables, with pain among adults in the United States. This cross-sectional database study aimed to examine the relationships between number of comorbid conditions (including cancer, arthritis, joint pain, stroke, heart attack, angina, coronary heart disease, high cholesterol, high blood pressure, other heart diseases, diabetes, asthma, chronic bronchitis, and emphysema), demographic, economic, health, and limitation variables with pain among United States adults using 2021 Medical Expenditure Panel Survey data. A multivariable logistic model assessed the association between the number of comorbid conditions (≥6, 5, 4, 3, 2, 1, versus 0 conditions) and quite a bit/extreme (versus little/moderate) pain, adjusting for demographic, economic, health, and limitation variables. The study found that greater numbers of comorbid conditions were associated with higher odds of quite a bit or extreme pain. In addition, age, education, employment, income, overall health, regular physical activity, and three limitation variables were each associated with pain in the multivariable model. These findings offer insight into the association between number of comorbid conditions and other variables with pain and suggest areas where interventions may be helpful to help improve pain outcomes for United States adults.

Investigating the Relationship between Body Mass Index, Cholesterol, and Cancer in United States Adults: A Cross-Sectional Study.

The purpose of this cross-sectional study was to investigate the relationship between Body Mass Index (BMI), cholesterol, and cancer in United States (US) adults. Data were collected from the 2020 Medical Expenditure Panel Survey (MEPS). Eligible participants were US adults (≥18 years) with data on BMI, cholesterol, and cancer status, who were alive at the end of the data collection period. An adjusted logistic regression model assessed associations between eight possible combinations of BMI and cholesterol status (independent variable) with cancer diagnosis (dependent variable). Among 27,805 individuals in the 2020 MEPS data, 20,818 met the eligibility criteria (weighted N = 252,340,615). Of these 2668 (weighted N = 29,770,359) had cancer and 18,150 (weighted N = 222,570,256) did not have cancer. In the adjusted logistic regression model, underweight and normal weight individuals with high cholesterol were associated with higher odds of cancer (odds ratio, OR = 2.002, and 95% confidence interval, CI = 1.032-3.885, and OR = 1.326 and 95% CI = 1.047-1.681, respectively), while obese individuals with normal cholesterol were associated with lower odds of cancer (OR = 0.681; 95% CI = 0.543-0.853) compared to normal weight individuals with normal cholesterol. This study offers insights into specific groups of individuals who may be prioritized for cancer prevention. Further research is required to investigate these findings in additional subpopulations.

Horizontal and vertical equity and public subsidies for private health insurance in the U.S.

The United States offers two markedly different subsidy structures for private health insurance. When covered through employer-based plans, employees and their dependents benefit from the exclusion from taxable income of the premiums. Individuals without access to employer coverage may obtain subsidies for Marketplace coverage. This paper seeks to understand how the public subsidies embedded in the privately financed portion of the U.S. healthcare system impact the payments families are required to make under both ESI and Marketplace coverage, and the implications for finance equity.Using the Household Component of the Medical Expenditure Panel Survey (MEPS-HC) and Marketplace premium data, we assess horizontal and vertical equity by calculating public subsidies for and expected family spending under each coverage source and using Lorenz curves and Gini and concentration coefficients. Our study pooled the 2018 and 2019 MEPS-HC to achieve a sample size of 10,593 observations. Our simulations showed a marked horizontal inequity for lower-income families with access to employer coverage who cannot obtain Marketplace subsidies. Relative to both the financing of employer coverage and earlier Marketplace tax credits, the more generous Marketplace premium subsidies, first made available in 2021 under the American Rescue Plan Act, substantially increased the vertical equity of Marketplace financing. While Marketplace subsidies have clearly improved equity within the United States, we conclude with a comparison to other OECD countries highlighting the persistence of inequities in the U.S. stemming from its noteworthy reliance on employer-based private health insurance.

Association between potentially inappropriate medications prescription and health-related quality of life among US older adults.

Potentially inappropriate medications (PIMs) are associated with worse health outcomes among older adults. Our objective was to examine the association between PIM prescription and health-related quality of life (HRQoL) among older adults in the United States using nationally representative data. This was a retrospective study utilizing 2011-2015 Medical Expenditure Panel Survey (MEPS) data. Community dwelling US adults aged 65 years or older were included. A qualified definition operationalized from the 2019 American Geriatrics Society Beers Criteria® was used to define exposure to PIMs during the study period. The Physical Component Summary (PCS) and Mental Component Summary (MCS) of the Medical Outcomes Study 12-Item Short Form Health Survey (SF-12) were used to measure HRQoL. Survey-weighted linear regression models were constructed to investigate the association between PIM exposure and participants' PCS and MCS scores. Analyses were stratified across three age cohorts (65-74, 75-85, and ≥85 years). Unadjusted analysis showed poorer scores in the PIM exposed group for both PCS and MCS (all p < 0.001). PIM exposure was associated with poorer PCS scores across all age groups with those aged 65-74 years (adjusted regression coefficient = -1.60 [95% CI = -2.27, -0.93; p < 0.001]), those 75-84 years (adjusted regression coefficient: -1.49 [95% CI = -2.45, -0.53; p = 0.003]), and those 85 years and older (adjusted regression coefficient = -1.65 [95% CI = -3.03, -0.27; p = 0.02]). PIM exposure was also associated with poorer MCS scores in participants aged 65-74 years (adjusted regression coefficient = -0.69 [95% CI = -1.16, -0.22; p = 0.004]) and 85 years and older (adjusted regression coefficient = -2.01 [95% CI = -3.25, -0.78; p = 0.002]). Our results suggest that patients' exposure to PIMs is associated with poorer HRQoL. Further work is needed to assess whether interventions to deprescribe PIMs may help to improve patients' HRQoL.

Alzheimer's Disease and Related Dementias Diagnosis in the United States Among US-Born and Foreign-Born White, Black, Hispanic, and Asian Older Adults.

Timely clinical diagnosis of Alzheimer's disease and related dementias (ADRD) is important for resource allocation, mitigating safety concerns, and improving quality of life. While studies have examined ADRD diagnosis disparities by race/ethnicity, few include its intersection with nativity. Our aims were to (1) estimate the odds of diagnosed ADRD among US- and foreign-born racial/ethnic groups compared to US-born White older adults and (2) make comparisons by nativity within each racial/ethnic group. We linked 2000-2017 National Health Interview Survey (NHIS) and 2001-2018 Medical Expenditure Panel Survey (MEPS) data (65 + years; n = 38,033). Race/ethnicity and nativity were measured using NHIS data. Diagnosed ADRD was determined using ICD-9 (290/294/331/797) or ICD-10 (F01/F03/G30/G31) billing codes created from self-reports during MEPS household interviews. Bivariate and multivariable analyses were adjusted for covariates based on Anderson's behavioral model of health services use. US-born Black (OR = 1.74; 95% CI = 1.48-2.05), Hispanic (OR = 1.62; 95% CI = 1.14-2.29), and foreign-born Hispanic (OR = 1.63; 95% CI = 1.24-2.15) older adults, but not foreign-born Black or Asian older adults, had higher odds of diagnosed ADRD compared to US-born White older adults after adjusting for age and sex. After additional adjustment for education, health insurance, usual source of care, and chronic conditions, only US-born Black older adults continued to show higher odds (OR = 1.54; 95% CI = 1.27-1.87) of diagnosed ADRD compared to US-born White older adults. There were no differences in ADRD diagnosis by nativity within each racial/ethnic group. Findings highlight the need for including nativity in studies comparing racial/ethnic groups to Whites to fully capture the ADRD burden among US-born Black older adults.

Abstract SY15-02: Health insurance and outcome disparities in adolescents and young adults with cancer

Abstract SY15-02: Health insurance and outcome disparities in adolescents and young adults with cancer

The Affordable Care Act and Racial Disparities in Healthcare Utilization: New Evidence From Employer Mandate

The 2010 United States Affordable Care Act (ACA) mandates small and mid-size firms to provide health insurance for full-time workers. This study investigates whether a key provision of the ACA employer mandate has reduced racial disparities in health services use among uterine cancer (UC) survivors. Employing a nationally representative Medical Expenditure Panel Survey (MEPS) data from 2008 to 2017 and the Difference-in-Differences empirical model, we find that the ACA employer mandate increases the utilization of pap smear tests among all groups of UC survivors. Additionally, our results suggest a rise in physician's office visits among non-Hispanic Black and Hispanic UC survivors driven by the announcement of the employer mandate in the post-ACA period. Our results further suggest a reduction in out-of-pocket prescription drug expenditure among UC survivors of racial and ethnic minorities. Study findings have implications for improving ethnic minority female population health outcomes.

Association between self-reported pain severity and characteristics of United States adults (age ≥50 years) who used opioids.

The aim of this study was to assess the associations between the characteristics of United States (US) adults (≥50 years) who used opioids and self-reported pain severity using a nationally representative dataset. This retrospective cross-sectional database study used 2019 Medical Expenditure Panel Survey data to identify US adults aged ≥50 years with self-reported pain within the past 4 weeks and ≥1 opioid prescription within the calendar year (n = 1,077). Weighted multivariable logistic regression analysis modeled associations between various characteristics and self-reported pain severity (quite a bit/extreme vs less/moderate pain). The adjusted logistic regression model indicated that greater odds of reporting quite a bit/extreme pain was associated with the following: age 50-64 vs ≥65 (adjusted odds ratio [AOR] = 1.76; 95% confidence interval [CI] = 1.22-2.54), non-Hispanic vs Hispanic (AOR = 2.0; CI = 1.18-3.39), unemployed vs employed (AOR = 2.01; CI = 1.33-3.05), no health insurance vs private insurance (AOR = 6.80; CI = 1.43-32.26), fair/poor vs excellent/very good/good health (AOR = 3.10; CI = 2.19-4.39), fair/poor vs excellent/very good/good mental health (AOR = 2.16; CI = 1.39-3.38), non-smoker vs smoker (AOR = 1.80; CI = 1.19-2.71), and instrumental activity of daily living, yes vs no (AOR = 2.27; CI = 1.30-3.96). Understanding the several characteristics associated with pain severity in US adults ≥50 years who used an opioid may help transform healthcare approaches to prevention, education, and management of pain severity in later life.