Impact of living with an adult with depressive symptoms among households in the United States

BACKGROUND

The effect of depressive symptoms on individuals has been widely studied but their impact on households remains less explored. This study assessed the humanistic and economic impact of living with an adult with depressive symptoms on adults without depressive symptoms among households in the United States (US).

METHODS

The Medical Expenditure Panel Survey (MEPS) Household Component database was used to identify adults without depressive symptoms living in households with ≥1 adult with depressive symptoms (depression household) and adults without depressive symptoms living in households without an adult with depressive symptoms (no-depression household). Weighted generalized linear models with clustered standard errors were used to compare total income (USD 2020), employment status, workdays missed, quality of life (QoL), and healthcare resource utilization (HRU) between cohorts.

RESULTS

Adults without depressive symptoms living in a depression household (n = 1699) earned $4720 less in total annual income (representing 11.3% lower than the average income of $41,634 in MEPS), were less likely to be employed, missed more workdays per year, and had lower QoL than adults without depressive symptoms living in a no-depression household (n = 15,286). Differences in total annual healthcare costs and for most types of HRU, except for increased outpatient mental health-related visits, were not significant.

LIMITATIONS

Data is subject to reporting bias, misclassification, and other inaccuracies. Causal inferences could not be established.

CONCLUSION

The economic and humanistic consequences of depressive symptoms may extend beyond the affected adults and impact other adult members of the household.

Modifiable Risk Factors for Alzheimer's Disease and Related Dementias Among Middle Eastern and North African Immigrants to the United States

Background and Objectives

Modifiable risk factors across the life course play a role in the development of Alzheimer's disease and related dementias (ADRD). Studies have identified racial and ethnic disparities in ADRD risk factors. Few studies have explored the epidemiology of ADRD risk among Middle Eastern and North African (MENA) Americans, largely due to their classification as White in US national health surveys. Our aim was to estimate ADRD risk factors among MENA immigrants compared to US- and foreign-born non-Hispanic White adults.

Research Design and Methods

We linked cross-sectional 2000-2017 National Health Interview Survey and 2001-2018 Medical Expenditure Panel Survey data (N = 108 695; age ≥ 18 years). Modifiable risk factors for ADRD that were evaluated (yes or no) included less than ninth grade education, hearing loss, traumatic brain injury, hypertension, alcohol use, obesity, smoking, depressive symptoms, marital status, physical inactivity, and diabetes. Bivariate analysis and multivariable logistic regression were conducted. Regression models were adjusted by age and sex.

Results

Compared to US-born White adults, MENA immigrants had higher odds of reporting less than 9th grade education (OR = 1.93; 95% CI = 1.17-3.21) and psychological health concerns (OR = 1.28; 95% CI = 1.06-1.56). Compared to foreign-born White adults, MENA immigrants had higher odds of diabetes (OR = 1.48; 95% CI = 1.06-2.08) and psychological health concerns (OR = 1.24; 95% CI = 1.01-1.54).

Discussion and Implications

The findings provide the first comprehensive look at potentially modifiable risk factors for ADRD among MENA immigrants based on a life course model. Without a racial/ethnic identifier for MENA individuals on a national level, ADRD risk factors among US-born MENA adults and MENA immigrants cannot be examined. More research is needed to explore these risk factors by life stage (early, midlife, and late) to further determine ADRD risk and prevention strategies for MENA Americans.

Diabetes Among Racial and Ethnically Diverse Older Adults in the United States with Cognitive Limitations

Diabetes is one of the most common coexisting conditions among adults with cognitive limitations. Complexities of diabetes care present challenges for older adults and their caregivers. Few studies have evaluated disparities in the prevalence of coexisting diabetes among older adults with cognitive limitations by race/ethnicity and nativity. Our objectives were to (1) estimate the odds of coexisting diabetes among US- and foreign-born racial/ethnic groups compared to US-born non-Hispanic White older adults and (2) compare US- and foreign-born older adults within each racial/ethnic group. We linked and analyzed 2000-2017 National Health Interview Survey and 2001-2018 Medical Expenditure Panel Survey data among older adults with cognitive limitations (ages ≥ 65 years, n = 4688). The overall prevalence of coexisting diabetes among older adults with cognitive limitations was 30.3%. Among older adults with cognitive limitations and after adjusted for age, sex, education, and risk factors for diabetes and cognitive limitations, non-Hispanic Black (US-born OR = 1.56, 95%CI = 1.23-1.98; foreign-born OR = 2.69, 95%CI = 1.20-6.05) and Hispanic (US-born OR = 2.13, 95%CI = 1.34-3.40; foreign-born OR = 2.02, 95%CI = 1.49-2.72) older adults had higher odds of coexisting diabetes compared to US-born non-Hispanic Whites. There were no differences in the odds of coexisting diabetes among foreign-born non-Hispanic Black and Hispanic adults compared to US-born counterparts. Findings suggest a large potential burden of coexisting diabetes among this growing populations of US- and foreign-born racially/ethnically diverse older adults with cognitive limitations. Future studies are needed to examine how diabetes self-efficacy, treatment, and monitoring are impacted by cognitive limitations and determine ways to improve care in collaboration with caregivers and healthcare providers.

The association between cognitive ability and opioid prescribing in vulnerable older adults with chronic pain in ambulatory care: a secondary data analysis using the Medical Expenditure Panel Survey

BACKGROUND

Vulnerable older adults living with Alzheimer's disease or Alzheimer's disease and related dementia (AD/ADRD) and chronic pain generally receive fewer pain medications than individuals without AD/ADRD, especially in nursing homes. Little is known about pain management in older adults with AD/ADRD in the community. The aim of the study was to examine opioid prescribing patterns in individuals with chronic pain by levels of cognitive ability in ambulatory care.

METHODS

We used the Medical Expenditure Panel Survey (MEPS), years 2002-2017, and identified three levels of cognitive impairment: no cognitive impairment (NCI), individuals reporting cognitive impairment (CI) without an AD/ADRD diagnosis, and individuals with a diagnosis of AD/ADRD. We examined any receipt of an opioid prescription and the number of opioid prescriptions using a logistic and negative binomial regression adjusting for sociodemographic and health characteristics and stratifying by three types of chronic pain (any chronic pain, severe chronic pain, and chronic pain identified through ICD 9/10 chronic pain diagnoses).

RESULTS

Among people with any chronic pain, adjusted odds of receiving an opioid for people with CI (OR 1.41, 95% confidence interval 1.31-1.52) and AD/ADRD (OR 1.23, 95% confidence interval 1.04-1.45) were higher compared to NCI. Among people with chronic pain ICD 9/10 conditions, the odds of receiving an opioid were also higher for those with CI (OR 1.43, 95% confidence interval 1.34-1.56) and AD/ADRD (OR 1.48, 95% confidence interval 1.23-1.78) compared to NCI. Among those with severe chronic pain, people with CI were more likely to receive an opioid (OR 1.17, 95% confidence interval 1.07-1.27) relative to NCI (OR 0.89, 95% confidence interval 0.75-1.06). People with AD/ADRD experiencing severe chronic pain were not more likely to receive an opioid compared to the NCI group. Adjusted predicted counts of opioid prescriptions showed more opioids in CI and AD/ADRD in all chronic pain cohorts, with the largest numbers of opioid prescriptions in the severe chronic pain and ICD 9/10 diagnoses groups.

CONCLUSIONS

The results suggest increased opioid use in people living with CI and AD/ADRD in the ambulatory care setting and potentially indicate that these individuals either require more analgesics or that opioids may be overprescribed. Further research is needed to examine pain management in this vulnerable population.

Suspected Undiagnosed ADRD Among Middle Eastern and North African Americans

ADRD underdiagnosis among minority populations is well-established and known to be more prevalent among women. Yet, it remains unclear if these patterns exist among adults of Middle Eastern and North African (MENA) descent. We estimated ADRD underdiagnosis among adults of MENA descent and other US- and foreign-born non-Hispanic Whites and compared sex-stratified results. We linked 2000-2017 National Health Interview Survey and 2001-2018 Medical Expenditure Panel Survey data (ages > = 65 years, n = 23,981). Undiagnosed ADRD was suspected if participants reported cognitive limitations without corresponding ADRD diagnosis. Undiagnosed ADRD was highest among adults of MENA descent (15.8%) compared to non-Hispanic Whites (US-born = 8.1%; foreign-born = 11.8%). Women of MENA descent had 2.52 times greater odds (95% CI = 1.31-4.84) of undiagnosed ADRD compared to US-born White women after adjusting for risk factors. This study contributes the first national estimates of undiagnosed ADRD among adults of MENA descent. Continued research is needed to facilitate policy changes that more comprehensively address health disparities and related resource allocation.

The Influence of Racial/Ethnic and Gender Concordance on Care Among Non-Pregnant Women of Childbearing Age with Diabetes Mellitus: an Analysis of the Medical Expenditure Panel Survey, 2010-2019

INTRODUCTION

This study examined associations between patient-provider race/ethnicity concordance and gender concordance on overall healthcare ratings, self-efficacy, and diabetes care monitoring in non-pregnant women of childbearing age with diabetes mellitus before and after adjusting for sociodemographic factors.

METHODS

We analyzed longitudinal data from the 2010-2019 Medical Expenditure Panel Survey. The sample was limited to non-pregnant women of childbearing age (18-45 years) diagnosed with diabetes (unweighted n = 327; weighted n = 566,504). Bivariate analysis, logistic regression, and latent variable modeling were performed.

RESULTS

Few racially minoritized women reported racial/ethnic and gender concordance with their healthcare provider. Only 2.9% of Hispanic women reported having a Hispanic provider and 12.1% of non-Hispanic Black women reported seeing a non-Hispanic Black provider compared to 81.1% of non-Hispanic White women who reported seeing a non-Hispanic White provider (p < .0001). Among Hispanic women, 15.3% reported seeing a female provider compared to 25.2% of non-Hispanic Black and 53.5% of non-Hispanic White women. Patient-provider race/ethnicity and gender concordance were not statistically significantly associated with overall healthcare ratings, self-efficacy, or diabetes care monitoring.

CONCLUSIONS

This study revealed a large disparity in race/ethnicity and gender concordance among minority women of reproductive age with diabetes compared to their non-Hispanic White counterparts. There is a need for larger, more robust studies to examine the influence of provider and other healthcare characteristics on diabetes-related outcomes in this understudied population.

Characteristics Associated with Self-Reported Exercise among US Adults Age ≥50 Years with Self-Reported Pain in the Past Four Weeks Who Used an Opioid

The number of older adults in the United States is growing, alongside the number of older adults experiencing some sort of pain and using opioids. Exercise is an important pain management and pain prevention strategy. However, little is known about the factors associated with exercise among United States adults ≥50 years old with pain who use opioids. This retrospective cross-sectional database study aimed to identify characteristics associated with self-reported frequent exercise (moderate- to vigorous-intensity exercise ≥30 min five times a week) in United States adults ≥50 years old with pain in the past four weeks who had also used an opioid. The study used 2020 Medical Expenditure Panel Survey data and logistic regression models. Analyses maintained the structure of the complex survey data and were weighted to obtain nationally representative estimates. Significantly associated variables with frequent exercise in the fully adjusted analysis included being aged 60-69 (versus ≥80 years, adjusted odds ratio [AOR] = 2.3, 95% confidence interval [CI] = [1.1-5.1]), having excellent/very good/good (versus fair/poor) self-perceived health (AOR = 2.4, 95% CI = [1.3-4.2]), normal/underweight (versus obese (AOR = 2.1, 95% CI = [1.1-3.9])), overweight (versus obese (AOR = 1.7, 95% CI = [1.0-2.9])), and having little (versus extreme) pain (AOR = 2.4, 95% CI = [1.0-5.7]). A secondary finding was that 35.7% considered themselves frequent exercisers, while the remaining 64.3% did not consider themselves frequent exercisers. In future, these findings can be used to personalize pain management strategies and encourage greater levels of exercise among this population.

Disease burden of prostate cancer from 2014 to 2019 in the United States: estimation from the Global Burden of Disease Study 2019 and Medical Expenditure Panel Survey

OBJECTIVES

The aim of this study was to evaluate the disease burden of prostate cancer (PC) and assess key influencing factors associated with the disease expenditures of PC in the United States.

METHODS

The total deaths, incidence, prevalence, and disability-adjusted life-years of PC were obtained from the Global Burden of Disease Study 2019. The Medical Expenditure Panel Survey was used to estimate healthcare expenditures and productivity loss and to investigate patterns of payment and use of healthcare resources in the United States. A multivariable logistic regression model was conducted to identify key factors influencing expenditures.

RESULTS

For patients aged 50 and older, the burden for all age groups showed a modest increase over the 6-year period. Annual medical expenditures were estimated to range from US$24.8 billion to US$39.2 billion from 2014 to 2019. The annual loss in productivity for patients was approximately US$1,200. The top 3 major components of medical costs were hospital inpatient stays, prescription medicines, and office-based visits. Medicare was the largest source of payments for survivors. In terms of drug consumption, genitourinary tract agents (57.0%) and antineoplastics (18.6%) were the main therapeutic drugs. High medical expenditures were positively associated with age (p=0.005), having private health insurance (p=0.016), more comorbidities, not currently smoking (p=0.001), and patient self-perception of fair/poor health status (p<0.001).

CONCLUSIONS

From 2014 to 2019, the national real-world data of PC revealed that the disease burden in the United States continued to increase, which was partly related to patient characteristics.

Economic burden of skin cancer treatment in the USA: an analysis of the Medical Expenditure Panel Survey Data, 2012-2018

PURPOSE

We report the prevalence and economic cost of skin cancer treatment compared to other cancers overall in the USA from 2012 to 2018.

METHODS

Using the Medical Expenditure Panel Survey full-year consolidated data files and associated medical conditions and medical events files, we estimate the prevalence, total costs, and per-person costs of treatment for melanoma and non-melanoma skin cancer among adults aged ≥ 18 years in the USA. To understand the changes in treatment prevalence and treatment costs of skin cancer in the context of overall cancer treatment, we also estimate the prevalence, total costs, and per-person costs of treatment for non-skin cancer among US adults.

RESULTS

During 2012-15 and 2016-18, the average annual number of adults treated for any skin cancer was 5.8 (95% CI: 5.2, 6.4) and 6.1 (95% CI: 5.6, 6.6) million, respectively, while the average annual number of adults treated for non-skin cancers rose from 10.8 (95% CI: 10.0, 11.5) to 11.9 (95% CI: 11.2, 12.6) million, respectively. The overall estimated annual costs rose from $8.0 (in 2012-2015) to $8.9 billion (in 2016-18) for skin cancer treatment and $70.2 to $79.4 billion respectively for non-skin cancer treatment.

CONCLUSION

The prevalence and economic cost of skin cancer treatment modestly increased in recent years. Given the substantial cost of skin cancer treatment, continued public health attention to implementing evidence-based sun-safety interventions to reduce skin cancer risk may help prevent skin cancer and the associated treatment costs.

Patient Experience with Their Health Care Provider Among Non-Pregnant Women of Childbearing Age with Diabetes Mellitus by Race and Ethnicity in the United States

Objectives

The study objective was to investigate differences in patient experiences with health care providers among non-pregnant women of childbearing age with diabetes mellitus (DM) by race/ethnicity.

Design

This study used cross-sectional data from the 2012-2018 Medical Expenditure Panel Survey. The sample was limited to women of childbearing age (18-45 years) who have ever been told they had diabetes (n = 763; weighted n = 903,670). The key independent variable was race/ethnicity. The variables of interest included patient experiences with health care in the past 12 months: patient-provider communication (PPC); patient-provider racial/ethnic concordance; patient-provider gender concordance; and satisfaction.

Results

After adjusting for age, marital status, education, poverty level, health insurance, and perceived health status, non-Hispanic (NH) Black women had lower odds (adjusted odds ratio [aOR] = 0.04; 95% confidence interval [CI] = 0.01-0.11) of receiving care from a health care provider of the same race compared with NH white women. Similar results were found among Hispanic and NH women of other or multiple races. Hispanic women had lower odds (aOR = 0.18; 95% CI = 0.06-0.50) of seeing a health care provider of the same race/ethnicity compared with NH white women in adjusted models. There were no statistically significant differences in PPC, patient-provider gender concordance, and satisfaction with their health care provider among Hispanic, NH Black, or NH women of other or multiple races in comparison to NH White women.

Conclusion

There is a need to improve PPC quality and satisfaction in this patient population. Patient-provider racial/ethnic discordance among women of color with DM is concerning given the existing diabetes-related disparities. More research on women with DM is needed to inform and improve patient experience and health outcomes.

Cognitive Limitations Among Middle Eastern and North African Immigrants

OBJECTIVES

To estimate and compare the prevalence of cognitive limitations among Middle Eastern and North African (MENA) immigrants compared to US- and foreign-born non-Hispanic Whites from Europe (including Russia/former USSR) and examine differences after controlling for risk factors.

METHODS

Cross-sectional data using linked 2000-2017 National Health Interview Survey and 2001-2018 Medical Expenditure Panel Survey data (ages >=65 years, n = 24,827) were analyzed.

RESULTS

The prevalence of cognitive limitations was 17.3% among MENA immigrants compared to 9.6% and 13.6% among US- and foreign-born non-Hispanic Whites from Europe. MENA immigrants had higher odds (OR = 1.88; 95% CI = 1.06-3.34) of reporting a cognitive limitation than US-born non-Hispanic Whites after controlling for age, sex, education, hearing loss, hypertension, depression, social isolation, and diabetes.

DISCUSSION

To further examine cognitive health among the MENA aging population, policy changes are needed to identify this group that is often absent from research because of their federal classification as non-Hispanic Whites.

Factors associated with pneumococcal vaccine uptake among vulnerable older adults in the United States primary care setting

Pneumococcal vaccine uptake targets set by Healthy People 2020 were not met by 2019 among vulnerable United States populations, yet research suggests progress can be made in primary care settings. This study assessed factors associated with having gotten a pneumococcal vaccine among vulnerable adults aged 50 and older. This study used the 2018 Medical Expenditure Panel Survey nationally representative dataset. Eligible individuals were aged 50-64 with an 'at risk' health condition or ≥65 years and had a primary care provider as their usual source of care (N = 3,760). Binary logistic regression was used to test factors (identified from literature) for a significant association with getting the pneumococcal vaccine. Factors with significant associations were entered into an adjusted multivariable logistic regression model to generate the odds of endorsing a factor given that the respondent got the vaccine. Collinearity among variables was examined with an unacceptable threshold of 0.8 correlation. A significance threshold of 0.05 was used. Those who got the pneumococcal vaccine had 16.7 (p < 0.001), 16.0 (p < 0.001) and 11.0 times (p < 0.001) higher odds of having also gotten the influenza vaccine, the herpes zoster vaccine and a colonoscopy respectively. They had 3.86 times (p = 0.009) higher odds of having diabetes mellitus, 0.036 times (p = 0.019) higher odds of having visited their doctors three times in 2018 and 8.4 times (p = 0.009) higher odds of having seen their doctor within the last year. Concordance statistic for model fit was 0.936. There was a negative association between pneumococcal vaccination and going to three doctor office visits in 2018 vs only once. The strongest positive associations were found between pneumococcal vaccination and getting the herpes zoster vaccine, influenza vaccine and getting a colonoscopy. These results suggest that those who choose to get the pneumococcal vaccine may have higher odds of also getting other vaccines or specific preventative screenings.

The economic burden of biologic disease-modifying antirheumatic drugs in rheumatoid arthritis patients in the United States

BACKGROUND

Previous U.S. economic burden estimates for rheumatoid arthritis (RA) varied from $85.6 to 148.1 billion annually. However, these estimates do not reflect comparative amounts spent on RA treatment options in addition to other medical expenditures. Therefore, this study's goal was to comparatively analyze the overall economic burden of U.S. patients treated for RA using conventional disease-modifying antirheumatic drugs (DMARDs) versus TNF alpha biologic DMARDs.

RESEARCH DESIGN AND METHODS

This retrospective observational study analyzed Medical Expenditure Panel Survey Household Component data from 2016 to 2018. Healthcare utilization, total medical expenditures, and out-of-pocket expenditures were compared between RA medication groups.

RESULTS

Three hundred twenty-five adult RA patients experiencing 603 RA-related events, including at least one medical visit, between 2016 and 2018 were identified. Rheumatic arthritis-attributable medical expenditures among patients prescribed DMARDs were $11.4 billion. Average total medical expenditures were significantly higher for the TNF alpha biologic group $26,216.67 (95% CI: $19,502.84-$32,930.5) versus $5,388.52 (95% CI: $2,768.25-$8,008.79) for the conventional DMARD group (p<0.001).

CONCLUSIONS

RA patients receiving TNF alpha biologics experienced significantly higher total medical and out-of-pocket expenditures; however, they have experienced fewer or no occurrences of high-cost drivers of healthcare utilization compared to patients receiving conventional DMARDs.

Expenditure on Heart Failure in the United States: The Medical Expenditure Panel Survey 2009-2018

BACKGROUND

With rising United States health care expenditure, estimating current spending for patients with heart failure (HF) informs the value of preventative health interventions.

OBJECTIVES

The purpose of this study was to estimate current health care expenditure growth for patients with HF in the United States.

METHODS

The authors pooled MEPS (Medical Expenditure Panel Survey) data from 2009-2018 to calculate total HF-related expenditure across clinical settings in the United States. A 2-part model adjusted for demographics, comorbidities, and year was used to estimate annual mean and incremental expenditures associated with HF.

RESULTS

In the United States, an average of $28,950 (2018 inflation-adjusted dollars) is spent per year for health care-related expenditure for individuals with HF compared with $5,727 for individuals without HF. After adjusting for demographics and comorbidities, a diagnosis of HF was associated with $3,594 in annual incremental expenditure compared with those without HF. HF-related expenditure increased from $26,864 annual per person in 2009-2010 to $32,955 in 2017-2018, representing a 23% rise over 10 years. In comparison, expenditure on myocardial infarction, type 2 diabetes mellitus, and cancer grew by 16%, 28%, and 16%, respectively. Most of the cost was related to hospitalization: $12,569 per year. Outpatient office-based care and prescription medications saw the greatest growth in cost over the period, 41% and 24%, respectively. Estimated incremental national expenditure for HF per year was $22.3 billion; total annual expenditure for adults with HF was $179.5 billion.

CONCLUSIONS

HF is a costly condition for which expenditure is growing faster than that of other chronic conditions.

Racial/Ethnic Disparity Trends in Children's Mental Health Care Access and Expenditures From 2010-2017: Disparities Remain Despite Sweeping Policy Reform

OBJECTIVE

To examine trends in mental health care use for Black and Latinx children and adolescents.

METHOD

Data from the Medical Expenditure Panel Survey for 2010-2017 were analyzed to assess trends among youth ages 5-17 in use and expenditures for any mental health care, outpatient mental health care, and psychotropic medication prescription fills. Unadjusted trends for all youth and the subpopulation of youth reporting need for mental health care and disparities adjusting for need were examined.

RESULTS

Between 2010 and 2017, Black youth rates of any past year mental health care use decreased (from 9% to 8%), while White (from 13% to 15%) and Latinx (from 6% to 8%) youth rates increased. Among the subpopulation with need and in regression analysis adjusting for need, we identified significant Black-White and Latinx-White disparities in any mental health care use and any outpatient mental health care use in 2010-2011 and 2016-2017, with significant worsening of Black-White disparities over time. White youth were more than twice as likely as Latinx youth to use psychotropic medications, and Latinx-White and Black-White disparities in psychotropic medication prescription fills persisted over time. Black-White disparities existed in overall mental health expenditures (2016-2017) and outpatient mental health expenditures (2010-2011 and 2016-2017).

CONCLUSION

Affordable, ubiquitous access to mental health care for Black and Latinx youth remains an elusive target. Significant disparities exist in receiving mental health care despite reforms and policies designed to increase mental health care access in the general population. Additional outreach and treatment strategies tailored to the cultural, linguistic, and structural needs of youth of color are required.

Direct medical and indirect absenteeism costs among working adult ADHD patients in the United States

OBJECTIVE

This study investigated the direct medical and indirect (i.e. absenteeism) costs among working adults diagnosed with Attention-Deficit/Hyperactivity Disorder (ADHD) in the United States.

METHODS

This study utilized 2017-2018 Medical Expenditure Panel Survey data. Attribution and regression-based incremental cost approaches were utilized to estimate direct medical costs, i.e. prescription drug costs and total costs. The regression-based approach was utilized to estimate absenteeism cost.

RESULTS

The study sample consisted of 32,222 observations (weighted: 187,207,896). Of these, 459 (weighted: 3,175,033) had ADHD. The mean annual per person ADHD-attributable prescription drug cost was 2018 US $1,248 (standard error (SE): 97) and the ADHD-attributable total cost was $2,031 (SE: 371). This contributed to a mean overall annual spending of $3.96 (SE: 0.42) billion on ADHD-attributable prescription drugs and $6.45 (SE: 1.26) billion on ADHD-attributable total direct medical costs among adult ADHD patients. Based on the regression-based approach, the mean annual incremental cost for ADHD was $1,641 (SE: 164) and $4,328 (SE: 862) per person for prescription medication costs and total costs, respectively. The mean indirect cost of ADHD was estimated at $512 (SE: 91) per year, per person among working adults with ADHD in the United States.

CONCLUSIONS

There is a significant direct and indirect economic burden on working adults with ADHD.

EXPERT OPINION

There is a significant economic burden of ADHD in terms of direct medical (including out-of-pocket) cost as well as indirect absenteeism cost. The per person annual costs estimated using a regression approach were approximately twice as much as the costs using the sum disease-specific approach, suggesting a potential role for 'spillover' costs among working adults with ADHD. Prescription drug costs were top-ranked contributors to the direct medical costs. As a group, working adults with ADHD are relatively understudied and more research is needed to better understand the burden of ADHD in this group.

Supplemental Nutrition Assistance Program participation and health care expenditures in children

BACKGROUND

The Supplemental Nutrition Assistance Program (SNAP) has well-established positive impacts on child health outcomes, including increased birth weight and decreased likelihood of underweight status. Studies in adult populations suggest that SNAP is associated with lower health care costs, although less is known in children.

METHODS

Retrospective analysis of U.S. children (age <18 years) living in low-income households (< 200% of the federal poverty level) in the 2013-2017 Medical Expenditure Panel Survey. We used multivariable regression, adjusting for sociodemographic and clinical covariates, to model the effect of continuous SNAP enrollment on health expenditures as compared to non-enrollees at 12 and 24 months.

RESULTS

The sample included 5,626 children, of whom 49.2% consistently received SNAP for the entire two-year survey period. Compared with SNAP non-recipients, SNAP-recipient households more often had incomes below 100% FPL (78.3% vs 37.9%), and children in SNAP-recipient households were more often publicly insured (94.9% vs 64.5%). Unadjusted expenditures were lower for children in SNAP-recipient households at 12 ($1222 vs $1603) and 24 months ($2447 vs $3009). However, when adjusting for sociodemographic and clinical differences, no statistically significant differences in health care expenditures, including emergency department, inpatient, outpatient, and prescription costs, were identified.

CONCLUSION

SNAP participant children experience heightened social hardships across multiple domains. There were no differences in short term health care costs based on SNAP enrollment when accounting for differences in sociodemographic and clinical factors. Despite demonstrated child health benefits, we found that sustained enrollment in SNAP over a two-year period did not generate significant short- term health care cost reductions. Our findings suggest that although SNAP is intended to act as a benefit towards the health and well-being of its recipients, unlike among adults, it may not reduce health care costs among children.

Association of co-morbidities with financial hardship in survivors of adult cancer

PURPOSE

To evaluate the impact of co-morbidities on financial hardship in adult cancer survivors and the role of health insurance and a usual source of care (i.e., a particular doctor's office/health center/other place that the person usually goes if he/she is sick or needs advice) in relieving this impact.

METHODS

Using the Medical Expenditure Panel Survey, we estimated prevalence of two financial hardships, out-of-pocket (OOP) burden and financial worry, among 1196 adult cancer survivors. A modified Charlson co-morbidity index (CCI) assessed co-morbidities, which represent a medical event (e.g., a doctor's appointment) associated with co-morbid conditions within the past 1 year. Multivariable logistic regression tested the influence of health insurance and a usual source of care on associations of co-morbidities with financial hardship by middle/high vs. low-income families and by working vs. retirement-age individuals.

RESULTS

Years since cancer diagnosis ranged from 0 to 76 years (mean: 10.3, SD: 9.8), 10 and 25% of survivors experienced OOP burden and financial worry. For OOP burden, increased CCI was a risk factor among survivors of low-income families, ORs: 1.91 (95% CI: 1.06, 3.46) for a CCI 1-2 and 3.37 (95% CI: 1.72, 6.61) for a CCI ≥ 3 vs. CCI of 0. For financial worry, increased CCI was a risk factor among working-age survivors, ORs: 1.58 (95% CI: 1.02, 2.47) for a CCI 1-2 and 2.15 (95% CI: 1.19, 3.87) for a CCI ≥ 3 vs. CCI of 0. However, having health insurance and a usual source of care did not mitigate impact of co-morbidities on financial hardship (P values > 0.05).

CONCLUSIONS

Impact of co-morbidities on OOP and financial worry burden was greatest in survivors of low-income families and working-age, respectively. Health insurance and a usual source of care did not relieve the impact of co-morbidities on financial hardship.

IMPLICATIONS

Effective strategies are warranted to mitigate financial hardship for survivors.

Nationally Representative Health Care Expenditures of Community-Based Older Adults with Pain in the United States Prescribed Opioids vs Those Not Prescribed Opioids

OBJECTIVE

To compare health care expenditures between older US adults (≥50 years) with pain who were prescribed opioid medications and those who were not.

DESIGN

Cross-sectional.

SETTING

Community-based adults in the 2015 Medical Expenditure Panel Survey (MEPS).

SUBJECTS

Nationally representative sample of US adults alive for the calendar year, aged 50 years or older, who reported having pain in the past four weeks.

METHODS

Older US adults (≥50 years) with pain in the 2015 MEPS data were identified. The key independent variable was opioid prescription status (prescribed opioid vs not prescribed opioid). Hierarchical linear regression models assessed health care expenditures (inpatient, outpatient, office-based, emergency room, prescription medications, other, and total) in US dollars for opioid prescription status from a community-dwelling US population perspective, adjusting for covariates.

RESULTS

The 2015 study cohort provided a national estimate of 50,898,592 noninstitutionalized US adults aged ≥50 years with pain in the past four weeks (prescribed opioid N = 16,757,516 [32.9%], not prescribed opioid N = 34,141,076 [67.1%]). After adjusting for covariates, individuals prescribed an opioid had 61% greater outpatient (β = 0.477, P < 0.0001), 69% greater office-based (β = 0.524, P < 0.0001), 14% greater emergency room (β = 0.131, P = 0.0045), 63% greater prescription medication (β = 0.486, P < 0.0001), 29% greater other (β = 0.251, P = 0.0002), and 105% greater total (β = 0.718, P < 0.0001) health care expenditures. There was no difference in opioid prescription status for inpatient expenditures (P > 0.05).

CONCLUSIONS

This study raises awareness of the economic impact associated with opioid use among US older adults with pain. Future research should investigate these variables in greater depth, over longer time periods, and in additional populations.

Racial and Ethnic Disparities in Healthcare Rating, Diabetes Self-efficacy, and Diabetes Management Among Non-pregnant Women of Childbearing Age: Does Socioeconomic Status Matter?

OBJECTIVE

Patient perceptions of healthcare ratings, diabetes self-efficacy, and diabetes management play a role in diabetes-related outcomes, particularly among women of childbearing age. Guided by a modified Interaction Model of Client Health Behavior framework, the objective was to compare differences in perceptions of health care ratings, diabetes self-efficacy, and diabetes management among non-Hispanic Black, Hispanic, and non-Hispanic White women of childbearing age.

METHODS

The sample comprised 7 years (2012-2018) of Medical Expenditure Panel Survey data. The sample was limited to women of childbearing age (18-45 years) who have ever been told they had diabetes (n = 691; weighted n = 932,426). Dependent variables were health care rating, diabetes self-efficacy, and diabetes care management. The key independent variable was race/ethnicity (non-Hispanic Black, Hispanic, non-Hispanic White). We adjusted for sociodemographic characteristics and perceived health status using multiple linear and multivariable logistic regressions.

RESULTS

Non-Hispanic Black women (41.6%) self-reported their health status as fair or poor (44.9%) compared to non-Hispanic White (33.3%) and Hispanic (37.6%). In adjusted models, non-Hispanic Black women had 46% lower odds (95% CI = 0.31, 0.94) of reporting high health care ratings compared to non-Hispanic White women. Non-Hispanic Black women had 43% lower odds (95% CI = 0.35, 0.95) and Hispanic women had 47% lower odds (95% CI = 0.34, 0.80) of reporting higher levels of diabetes care management than non-Hispanic White women.

CONCLUSIONS

This study provides important information regarding diabetes health care ratings, self-efficacy, and self-management behaviors. Because of the increasing prevalence of diabetes among women of childbearing age, it is important to improve health care particularly for racial/ethnic minority women with diabetes.

Among Low-Income Adults Enrolled In Medicaid, Churning Decreased After The Affordable Care Act

Coverage disruptions and coverage loss occur frequently among Medicaid enrollees and are associated with delayed health care access and reduced medication adherence. Little is known about the effect on churning of the expansion of eligibility for Medicaid under the Affordable Care Act (ACA), which had the potential to reduce coverage disruptions as a result of increased outreach and more generous income eligibility criteria. We used a difference-in-differences framework to compare rates of coverage disruption in expansion versus nonexpansion states, and in subgroups of states that used alternative expansion strategies. We found that among low-income Medicaid beneficiaries ages 19-64, disruption in coverage decreased 4.3 percentage points in the post-ACA period in expansion states compared to nonexpansion states, and there was a similar decrease in the share of people who experienced a period without any insurance. Men, people of color, and those without chronic illnesses experienced the largest improvements in coverage continuity. Coverage disruptions declined in both traditional expansion states and those that used Section 1115 waivers for expansion. Our quasi-experimental study provides the first nationwide evidence that Medicaid expansion led to decreased rates of coverage disruption. We estimate that half a million fewer adults experienced an episode of churning annually.

Estimating model-based nonnegative population marginal means in application to medical expenditures covered by different health care policies - A study on Medical Expenditure Panel Survey

The medical care expenditure is historically an important public health issue, which greatly impacts the government's health policies as well as patients' financial and medical decisions. In population health research, we commonly discretize a numeric attribute to a few ordinal groups to examine population characteristics. Oftentimes, the population marginal mean estimation by the ANOVA approach is inflexible since it uses pre-defined grouping of the covariate. In this paper, we propose a method to estimate the population marginal mean using the B-spline-based regression in a manner of a generalized additive model as an alternative for the ANOVA. Since the medical expenditure is always nonnegative, a Bayesian approach is also implemented for the nonnegative constraint on the marginal mean estimates. The proposed method is flexible to estimate marginal means for user-specified grouping after model fitting in a post-hoc manner, a clear advantage over the ANOVA approach. We show that this method is inferentially superior to the ANOVA through theoretical investigations and an extensive Monte Carlo study. The real data analysis using Medical Expenditure Panel Survey data assisted by some visualization tools demonstrates an applicability of the proposed approach and leads us some interesting observations that may be relevant to public health discussions.

Assessing the Longitudinal Impact of Physician-Patient Relationship on Functional Health

PURPOSE

Access to a usual source of care is associated with improved health outcomes, but research on how the physician-patient relationship affects a patient's health, particularly long-term, is limited. The aim of this study was to investigate the longitudinal effect of changes in the physician-patient relationship on functional health.

METHODS

We conducted a prospective cohort study using the Medical Expenditure Panel Survey (MEPS, 2015-2016). The outcome was 1-year change in functional health (12-Item Short-Form Survey). The predictors were quality of physician-patient relationship, and changes in this relationship, operationalized with the MEPS Primary Care (MEPS-PC) Relationship subscale, a composite measure with preliminary evidence of reliability and validity. Confounders included age, sex, race/ethnicity, educational attainment, insurance status, US region, and multimorbidity. We conducted analyses with survey-weighted, covariate-adjusted, predicted marginal means, used to calculate Cohen effect estimates. We tested differences in trajectories with multiple pairwise comparisons with Tukey contrasts.

RESULTS

Improved physician-patient relationships were associated with improved functional health, whereas worsened physician-patient relationships were associated with worsened functional health, with 1-year effect estimates ranging from 0.05 (95% CI, 0-0.10) to 0.08 (95% CI, 0.02-0.13) compared with -0.16 (95% CI, -0.35 to -0.03) to -0.33 (95% CI, -0.47 to -0.02), respectively.

CONCLUSION

The quality of the physician-patient relationship is positively associated with functional health. These findings could inform health care strategies and health policy aimed at improving patient-centered health outcomes.

COVID-19 And Racial/Ethnic Disparities In Health Risk, Employment, And Household Composition

We used data from the Medical Expenditure Panel Survey to explore potential explanations for racial/ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality. Black adults in every age group were more likely than White adults to have health risks associated with severe COVID-19 illness. However, Whites were older, on average, than Blacks. Thus, when all factors were considered, Whites tended to be at higher overall risk compared with Blacks, with Asians and Hispanics having much lower overall levels of risk compared with either Whites or Blacks. We explored additional explanations for COVID-19 disparities-namely, differences in job characteristics and how they interact with household composition. Blacks at high risk for severe illness were 1.6 times as likely as Whites to live in households containing health-sector workers. Among Hispanic adults at high risk for severe illness, 64.5 percent lived in households with at least one worker who was unable to work from home, versus 56.5 percent among Black adults and only 46.6 percent among White adults.

The Impact Of Medicare's Mental Health Cost-Sharing Parity On Use Of Mental Health Care Services

Before the implementation of cost-sharing parity in Medicare, beneficiaries faced higher cost sharing for mental health services than for other medical services. The Medicare Improvements for Patients and Providers Act of 2008 phased in cost-sharing reductions in Medicare for outpatient mental health services in the period 2010-14. Using data for 2006-15 from the Medical Expenditure Panel Survey and difference-in-differences analyses, we assessed whether this reduction in mental health cost sharing was associated with changes in specialty and primary care outpatient mental health visits and psychotropic medication fills. We compared people with Medicare and with private insurance before and after parity implementation. Medicare beneficiaries' use of psychotropic medication increased after the implementation of cost-sharing parity, but we did not detect a change in visits. Changes in the use of psychotropic medications were greater among people with probable serious mental illness and among Medicare beneficiaries who did not report having supplemental coverage. The increased medication use could signal improvements in mental health care access among Medicare beneficiaries, especially among the subgroups most likely to benefit from the policy change.

The influence of patient-provider communication on cancer screenings differs among racial and ethnic groups

Our study aimed to estimate how associations between adults' perceptions of specific domains of PPC quality and their likelihood of receiving cancer screenings differed by race and ethnicity. We analyzed 2011-2015 Medical Expenditure Panel Survey (MEPS) data. Samples included 7337 women ages 50-74 (breast), 13,276 women ages 21-65 (cervical), and 9792 adults ages ≥50 years (colorectal). To examine individual domains of PPC quality (independent variables), adults reported how often providers: listened; showed respect; spent enough time; explained things; gave specific instructions; and demonstrated health literate practices (gave clear instructions and asked them to "teach-back" how they will follow instructions). Dependent variables were breast, cervical, and colorectal cancer screenings. Multivariable logistic regression was used to evaluate the odds of receiving cancer screenings using a composite measure of PPC quality and separate domains. Hispanic and non-Hispanic black adults who reported their providers always demonstrated PPC quality had higher odds of receiving colorectal cancer screenings compared to those whose providers did not. Adults' perceptions of whether or not their provider gave them specific instructions increased their odds of receiving breast (Hispanics OR = 1.65, 95% CI = 1.09, 2.51; non-Hispanic blacks OR = 1.54, 95% CI = 1.06, 2.24) and colorectal (non-Hispanic whites OR = 1.37, 95% CI = 1.13, 1.66; Hispanics OR = 1.29, 95% CI = 1.01, 1.66; non-Hispanic blacks OR = 1.92, 95% CI = 1.39, 2.65) cancer screenings. Non-Hispanic Asian women who reported their health care providers demonstrated "teach-back" had higher odds (OR = 2.25; 95% CI = 1.10, 4.62) of receiving cervical cancer screenings. Efforts to improve cancer screenings should focus on training providers to demonstrate health literate practices to improve cancer screenings.

Estimating the Economic Burden of Acute Myocardial Infarction in the US: 12 Year National Data

BACKGROUND

Acute myocardial infarction (AMI) carries a substantial mortality and morbidity burden. The purpose of this study is to provide annual mean cost per patient and national level estimates of direct and indirect costs (lost productivity from morbidity and premature mortality) associated with AMI.

METHODS

Nationally representative data spanning 12 years (2003-2014) with a sample of 324,869 patients with AMI from the Medical Expenditure Panel Survey (MEPS) were analyzed. A novel 2-part model was used to examine the excess direct cost associated with AMI, controlling for covariates. To estimate lost productivity from morbidity, an adjusted Generalized Linear Model was used for the differential in wage earnings between participants with and without AMI. Lost productivity from premature mortality was estimated based on published data.

RESULTS

The total annual cost of AMI in 2016 dollars was estimated to be $84.9 billion, including $29.8 billion in excess direct medical expenditures, $14.6 billion in lost productivity from morbidity and $40.5 billion in lost productivity from premature mortality between 2003 and 2014. In the adjusted regression, the overall excess direct medical expenditure of AMI was $7,076 (95% confidence interval [CI] $6,028-$8,125) higher than those without AMI. After adjustment, annual wages for patients with AMI were $10,166 (95% CI -$12,985 to -$7,347) lower and annual missed work days were 5.9 days (95% CI 3.57-8.27) higher than those without AMI.

CONCLUSIONS

The study finds that the economic burden of AMI is substantial, for which effective prevention could result in significant health and productivity cost savings.

Patient Education on Opioid Storage, Security, and Disposal of Opioids: Should the Approach Differ in Rural and Urban Settings?

PURPOSE

The opioid crisis is devastating rural America, but findings of opioid utilization vary among previous studies. Previous studies were focused on misuse behaviors or overdose issues. This study will focus on the number of pills and prescriptions that rural and urban adults received.

METHODS

Using the adult data of the 2011-2016 Medical Expenditure Panel Survey, we compared rural-urban differences in likelihood of using opioids and actual utilization. Multivariate models were further adjusted for predisposing, enabling and need factors.

RESULTS

During 2011-2016, opioid utilization decreased in both urban and rural areas. However, rural adults were still more likely to have a prescription, and among users, rural adult prescription pill count was higher than urban counterparts. The rural-urban difference was not significant after adjusting for covariates, indicating that personal and contextual characteristics account for more variations in utilization than rurality.

CONCLUSIONS

Strategies to improve pain management without causing opioid addiction and overdose deaths are imperative. The findings of unadjusted analyses suggest: (1) providing counseling to teach rural adults to store opioids in a locked container, not share medication with others and safely dispose of unused pills; (2) reinforcing the mail-back program or giving patients a specially-designed package to neutralize the drugs; and (3) if a community-based drug-disposal program is not available, educating to remove labeling from the bottle, mix the drugs with an unpleasant substance, and place the drugs and unpleasant substance in the garbage separate from the bottle. The findings of adjusted analyses indicate that another study will be helpful to explore the associations between personal characteristics and opioid utilization in depth.

Association between polypharmacy and health-related quality of life among cancer survivors in the United States

PURPOSE

Polypharmacy (PP) is present in many cancer survivors and may lead to lower health-related quality of life (HRQoL). The study's objective was to evaluate the association between PP and HRQoL among cancer survivors in the US.

METHODS

A cross-sectional analysis of the Medical Expenditure Panel Survey (MEPS) was conducted. Our analytic sample included all adult patients with cancer, during even years 2008-2014. PP was defined as reported use of five or more unique therapeutic classes of prescription medications. The MEPS measured HRQoL using the Short Form 12-Item Health Survey Version 2 (SF-12v2) physical component summary (PCS) and mental component summary (MCS) scores. Ordinary least squares regressions were used to assess associations between PP and HRQoL controlling for demographic, socioeconomic, and clinical factors.

RESULTS

PP was prevalent among 44.4% of 10.1 million cancer survivors per calendar year (on average) for years 2008, 2010, 2012, and 2014. The mean adjusted PCS score for cancer survivors with PP was 35.8 points, which was significantly lower compared with cancer survivors without PP (39.5) by 3.7 points (p value < .0001). Conversely, the mean adjusted MCS scores were not significantly lower in cancer survivors with PP compared with cancer survivors without PP (44.9 versus 45.4, p value = 0.3145).

CONCLUSIONS

PP was prevalent in 44.4% of cancer survivors and was associated with significantly poorer physical HRQoL than reported in their counterparts without PP.

IMPLICATIONS FOR CANCER SURVIVORS

PP should be examined closely among cancer survivors because of increased association with poorer physical HRQoL.

Association between polypharmacy and health-related quality of life among US adults with cardiometabolic risk factors

PURPOSE

There are known associations between cardiometabolic risk factors and polypharmacy; however, there is no evidence about how polypharmacy among adults with cardiometabolic risk factors impacts their health-related quality of life (HRQoL). The main objective of this study was to assess the association between polypharmacy and HRQoL among adults with cardiometabolic risk factors living in the USA.

METHODS

Individuals age ≥ 18 years with at least one of the three cardiometabolic risk factors (diabetes, hyperlipidemia, and hypertension) were identified from the Medical Expenditure Panel Survey 2015 data. We defined polypharmacy as use of at least five classes of prescription medications. Physical component summary (PCS) and mental component summary (MCS) were obtained from the 12-item Short-Form Health Survey version 2 to measure HRQoL. We conducted adjusted ordinary least-square regressions to determine the association between polypharmacy and HRQoL.

RESULTS

We identified 7621 (weighted N = 80 million) adults with at least one cardiometabolic risk factors of whom 46.9% reported polypharmacy. Polypharmacy was noted in 29.7% of those with hypertension, whereas 82.4% of those with all the three cardiometabolic risk factors had polypharmacy. The unadjusted mean PCS and MCS scores for those with polypharmacy were lower than those without polypharmacy. In the multivariable regressions, we found that adults with polypharmacy had significantly lower PCS scores (β = - 4.27, p < 0.0001) compared to those without polypharmacy, while the MCS scores between those with and without polypharmacy were no longer significantly different.

CONCLUSION

Surveillance of use of concurrent prescription medications is warranted so as to improve physical functioning in this vulnerable group.

Families With TRICARE Report Lower Health Care Quality And Access Compared To Other Insured And Uninsured Families

Children in military families, who receive health insurance through the TRICARE program, face barriers to care such as frequent relocations, unique behavioral health needs, increased complex health care needs, and lack of accessible specialty care. How TRICARE-insured families perceive health care access and quality for their children compared to their civilian peers' perceptions remains unknown. Using data from the Medical Expenditure Panel Survey, we found that TRICARE-insured families were less likely to report accessible or responsive care compared to civilian peers, whether commercially or publicly insured or uninsured. Military families whose children had complex health or behavioral health care needs reported worse health care access and quality than similar nonmilitary families. Addressing these gaps may require military leaders to examine barriers to achieving acceptable health care access across military treatment facilities and off-base nonmilitary specialty providers, particularly for children with complex health or behavioral health needs.

Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia

Background

Medication nonadherence can compound into severe medical problems for patients. Identifying patients who are likely to become nonadherent may help reduce these problems. Data-driven machine learning models can predict medication adherence by using selected indicators from patients’ past health records. Sources of data for these models traditionally fall under two main categories: (1) proprietary data from insurance claims, pharmacy prescriptions, or electronic medical records and (2) survey data collected from representative groups of patients. Models developed using these data sources often are limited because they are proprietary, subject to high cost, have limited scalability, or lack timely accessibility. These limitations suggest that social health forums might be an alternate source of data for adherence prediction. Indeed, these data are accessible, affordable, timely, and available at scale. However, they can be inaccurate.

Objective

This paper proposes a medication adherence machine learning model for fibromyalgia therapies that can mitigate the inaccuracy of social health forum data.

Methods

Transfer learning is a machine learning technique that allows knowledge acquired from one dataset to be transferred to another dataset. In this study, predictive adherence models for the target disease were first developed by using accurate but limited survey data. These models were then used to predict medication adherence from health social forum data. Random forest, an ensemble machine learning technique, was used to develop the predictive models. This transfer learning methodology is demonstrated in this study by examining data from the Medical Expenditure Panel Survey and the PatientsLikeMe social health forum.

Results

When the models are carefully designed, less than a 5% difference in accuracy is observed between the Medical Expenditure Panel Survey and the PatientsLikeMe medication adherence predictions for fibromyalgia treatments. This design must take into consideration the mapping between the predictors and the outcomes in the two datasets.

Conclusions

This study exemplifies the potential and limitations of transfer learning in medication adherence–predictive models based on survey data and social health forum data. The proposed approach can make timely medication adherence monitoring cost-effective and widely accessible. Additional investigation is needed to improve the robustness of the approach and extend its applicability to other therapies and other sources of data.

Effect of Sociodemographics, Health-Related Problems, and Family Structure on Chronic Absenteeism Among Children

BACKGROUND

From 5 to 7.5 million schoolchildren are chronically absent, defined as missing ≥15 days of school within a year. Students miss schools due to various reasons such as health, socioeconomic status, and environmental factors. We examined child's health and behavior, family structure, and sociodemographics to understand chronic absenteeism.

METHODS

The population included children ages 6 to 17 years from the Medical Expenditure Panel Survey years 2008-2013. Multivariable logistic regressions were used to identify the risk factors of chronic absenteeism, adjusting for the complex sampling design.

RESULTS

Among sociodemographic variables, age ≥14 years, race/ethnicity, lower-income family, public health insurance, US born, and speaking English at home were associated with absenteeism. Asians, Mexican Hispanics, and blacks have lower absenteeism than whites. Among health-related variables, children using an inhaler for asthma, having behavioral problems, and less healthy than other children were more likely to be chronically absent. Among family variables, a smaller family size was a risk factor for absenteeism.

CONCLUSIONS

Asthma and behavioral problems were highly associated with chronic absenteeism. The identification of children at risk for chronic absenteeism will help the educational professionals identify the barriers to academic achievements and develop integrated educational interventions and policies to support disadvantaged children.

Characteristics of Mail-Order Pharmacy Users: Results From the Medical Expenditures Panel Survey

BACKGROUND

There is a paucity of research on the population characteristics of mail-order pharmacy users.

OBJECTIVE

This study utilized a nationally representative sample to examine the characteristics of mail-order pharmacy users.

METHODS

This study used data from the 2012 Medical Expenditure Panel Survey (MEPS). The outcome variable was defined as whether the participant had used a mail-order pharmacy during the study year. Logistic regression was conducted to determine the factors which influence mail-order pharmacy use. All analyses incorporated MEPS sampling weights to adjust for the complex survey design.

RESULTS

Among the 14,106 adults included, approximately 18% of them had used a mail-order pharmacy at least once to fill their prescription in 2012. Compared to community pharmacy users, mail-order pharmacy users were more likely to be white, older, married, have a higher family income, a higher educational level, have health insurance, and have a prescription with at least a 30-day supply. There is no difference in gender or urban/rural disparity. In addition, mail-order pharmacy users had a lower percentage of out-of-pocket costs.

CONCLUSION

Mail-order pharmacy use was significantly associated with certain patient characteristics. Policymakers should consider these characteristics when promoting mail-order pharmacy use.

Physical Activity and Disability: An Analysis on How Activity Might Lower Medical Expenditures

BACKGROUND

This study evaluated the effect of increased physical activity on annual medical expenditures among people with disability, as well as people without disability.

METHODS

We performed a cross-sectional study with linked national survey data from 2004 to 2013 Medical Expenditure Panel Survey and from 2002 to 2012 National Health Interview Study. We investigated the effect of physical activity on the annual medical expenditures in 2013 US dollars, among people with and without disability who were 18- to 64-year-old adults.

RESULTS

For people with disability, we found a statistically significant effect (P < .05) of physical activity on annual medical expenditures. Among people without disability, being inactive was associated with higher medical expenditures, compared with being sufficiently active. In our counterfactual analysis, among inactive people with disability, increasing activity to even a low level of activity could potentially save on average $2150.06 (95% confidence interval, 770.39 to 3529.72) annual medical costs.

CONCLUSIONS

This analysis provides evidence that when an individual with a disability moves from inactive to active, the savings in medical expenditures are substantially larger than the savings for an individual without a disability ($2564.33 vs $393.34). Despite the challenge of participating in physical activity for people with disability, completing "some" activity may have large public health implications.

Direct medical expenditures associated with Alzheimer's and related dementias (ADRD) in a nationally representative sample of older adults - an excess cost approach

OBJECTIVE

To estimate the excess direct annual healthcare expenditures associated with Alzheimer's and related dementias(ADRD) among community-dwelling older adults in the United States.

METHODS

This retrospective cross-sectional study compared the annual healthcare expenditures between elderly individuals aged 65 years and older with ADRD (n = 662) and without ADRD (n = 13,398) using data from the Medical Expenditure Panel Survey (MEPS) for the years 2007, 2009, 2011 and 2013. Adjusted total annual medical expenditures was estimated using generalized linear model with gamma distribution and log link in 2013 U.S. dollars. Adjusted inpatient, outpatient, emergency, home healthcare and prescription drug expenditures, were estimated using two-part logit-generalized linear regression models.

RESULTS

The adjusted mean total healthcare expenditures were higher for the ADRD group as compared to the no ADRD group($14,508 vs. $10,096). Among those with ADRD, 34.3% of the expenditures were for home healthcare as compared to 4.4% among those without ADRD. Among users, the ADRD group had significantly higher home healthcare ($3,240 vs. $566) and prescription drug expenditures($3,471 vs. $2,471). There were no statistically significant differences in inpatient, emergency room and outpatient expenditures between the ADRD and no ADRD group.

CONCLUSION

ADRD in U.S. community-dwelling elders is associated with significant financial burden, primarily driven by increased home healthcare use.

The patient-centered medical home model: healthcare services utilization and cost for non-elderly adults with mental illness

BACKGROUND

The patient-centered medical home (PCMH) model is designed to improve health outcomes while containing the cost of care. However, the evidence is inconclusive.

AIMS

The aim of this study was to examine the associations between receipt of care consistent with the PCMH and healthcare services utilization and expenditures for non-elderly adults with mental illness in the USA.

METHOD

A surveillance study was conducted using self-reported data for 6908 non-elderly adults with mental illness participating in the 2007-2012 Medical Expenditure Panel Survey. Healthcare services utilization and expenditures were compared for study participants who received care consistent with the PCMH, participants with a non-PCMH usual source of care (USC), and participants without a USC.

RESULTS

Differences in utilization and expenditures between participants who received care consistent with the PCMH and participants who had a non-PCMH USC were not statistically significant for any healthcare services category.

CONCLUSIONS

Receipt of care consistent with the PCMH was not significantly associated with differences in healthcare services utilization or expenditures compared to having a non-PCMH USC. Research assessing whether the PCMH is cost-effective for non-elderly adults with mental illness is needed.

Racial and Ethnic Disparities in Patient-Provider Communication With Breast Cancer Patients: Evidence From 2011 MEPS and Experiences With Cancer Supplement

The current study explores racial/ethnic disparities in the quality of patient-provider communication during treatment, among breast cancer patients. A unique data set, Medical Expenditure Panel Survey and Experiences With Cancer Supplement 2011, is used to examine this topic. Using measures of the quality of patient-provider communication that patients are best qualified to evaluate, we explore the relationship between race/ethnicity and patients' perspectives on whether (1) patient-provider interactions are respectful, (2) providers are listening to patients, (3) providers provide adequate explanations of outcomes and treatment, and (4) providers spend adequate time in interacting with the patients. We also examine the relationship between race/ethnicity and patients' perspectives on whether their (1) doctor ever discussed need for regular follow-up care and monitoring after completing treatment, (2) doctor ever discussed long-term side effects of cancer treatment, (3) doctor ever discussed emotional or social needs related to cancer, and (4) doctor ever discussed lifestyle or health recommendations. Multivariate ordinary least squares and ordered logistic regression models indicate that after controlling for factors such as income and health insurance coverage, the quality of patient-provider communication with breast cancer patients varies by race/ethnicity. Non-Hispanic blacks experience the greatest communication deficit. Our findings can inform the content of future strategies to reduce disparities.

Impact of depression treatment on health-related quality of life among adults with cancer and depression: a population-level analysis

PURPOSE

Cancer diagnosis in adults is often accompanied by negative impacts, which increase the risk of depression thereby lowering health-related quality of life (HRQoL). We examined the association between depression treatment and HRQoL among US adults with cancer and depression.

METHODS

Patients age 18 and above, with self-reported cancer and depression diagnoses were identified from Medical Expenditure Panel Survey database for 2006-2013. Baseline depression treatment was categorized as antidepressants only, psychotherapy with or without antidepressant use, and no reported use of antidepressants or psychotherapy. HRQoL was measured using SF-12 physical component summary (PCS) and mental component summary (MCS) scores. Adjusted ordinary least squares regressions estimated the association between type of depression treatment and HRQoL.

RESULTS

Out of 450 (weighted per calendar year: 2.1 million) cancer adults included in the study, 51% received antidepressants only, while 16% received psychotherapy with or without antidepressants. In bivariate analyses, the mean MCS score was lowest among those who received psychotherapy with or without antidepressants compared to those receiving antidepressants only and those with no reported use of either modality, p < 0.05. In multivariate analyses, there was no significant difference in HRQoL by type of depression treatment.

CONCLUSION

Despite treatment for depression, HRQoL did not improve during the measurement timeframe. Quality of life is a priority health outcome in cancer treatment, yet our findings suggest that current clinical approaches to ameliorate depression in cancer patients appear to be suboptimal.

IMPLICATIONS FOR CANCER SURVIVORS

Adults with cancer and comorbid depression should receive appropriate depression care in order to improve their HRQoL.

Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues

Although the analysis of 'big data' holds tremendous potential to improve patient care, there remain significant challenges before it can be realized. Accuracy and completeness of data, linkage of disparate data sources, and access to data are areas that require particular focus. This article discusses these areas and shares strategies to promote progress. Improvement in clinical coding, innovative matching methodologies, and investment in data standardization are potential solutions to data validation and linkage problems. Challenges to data access still require significant attention with data ownership, security needs, and costs representing significant barriers to access.

Sociodemographic Determinants of Out-of-Pocket Expenditures for Patients Using Prescription Drugs for Rheumatoid Arthritis

BACKGROUND

Rheumatoid arthritis (RA) is a chronic inflammatory disease that has a substantial economic impact on patients. Patients with RA are at an increased risk for disability and for loss of income. The inclusion of biologic drugs in RA therapy has increased the cost of treatment. Little is known about the relationship between sociodemographic characteristics and the out-of-pocket (OOP) expenditures for prescription drugs for patients with RA, including biologics, disease-modifying antirheumatic drugs (DMARDs), nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, and analgesics.

OBJECTIVES

To explore the relationship between sociodemographic characteristics, personal characteristics, and OOP expenditures associated with RA prescription medications. A secondary objective was to measure the average OOP expenditures for different therapeutic classes of RA medications, including biologics, DMARDs, NSAIDs, corticosteroids, and analgesics.

METHODS

In this retrospective analysis of Medical Expenditure Panel Survey (MEPS) data from 2009 to 2012, we identified a patient sample of 1090 adults with RA, which represented approximately 9.71 million patients in the MEPS database. The total OOP expenditure was calculated based on the OOP expenditure for each prescription drug corresponding to an individual. Patient variables included age, race, sex, insurance status, number of comorbid conditions, region, area of living, annual family income, and marital status. Logistic regression and generalized linear models were used for analysis. The mean OOP expenditure for therapeutic classes was estimated using nonparametric percentiles from 1000 cluster bootstrap estimates.

RESULTS

Overall, the mean annual OOP expenditure was $273.99 (95% confidence interval [CI], $197.07-$364.75). The OOP expenditures were lower for privately insured (0.31; 95% CI, 0.21-0.45) patients and publicly insured (0.18; 95% CI, 0.12-0.27) patients versus uninsured patients, and for poor (0.60; 95% CI, 0.43-0.84) and low-income (0.69; 95% CI, 0.49-0.97) patients versus high-income patients. The mean annual OOP expenditure decreased with age (0.98; 95% CI, 0.97-0.99), was lower (0.73; 95% CI, 0.58-0.92) for male patients than for female patients, and increased with the presence of comorbidities (1.16; 95% CI, 1.07-1.25). The average annual OOP expenditure was highest for biologics ($2556.73), followed by DMARDs ($89.37). The average annual OOP expenditures were $27.97, $52.36, and $72.51 for corticosteroids, NSAIDs, and narcotic analgesics, respectively.

CONCLUSIONS

Age, sex, race, income level, insurance status, and comorbidity status significantly affected patient OOP expenditure. Higher OOP expenditures among the uninsured, female patients, patients with low income levels, and patients with several comorbidities could adversely affect RA therapy. The use of expensive biologics needs to be monitored to reduce prescription-related cost-sharing among patients with RA.

Variation in dermatologist visits by sociodemographic characteristics

BACKGROUND

Access to dermatologists is an ongoing concern for Medicaid enrollees. Understanding current use is a key step toward designing and implementing policies to improve access.

OBJECTIVE

We sought to quantify how often Medicaid enrollees visit dermatologists and receive treatment for skin-related conditions compared with patients with other coverage or without health insurance.

METHODS

We conducted a retrospective cross-sectional analysis of multiyear federal survey data (Medical Expenditure Panel Survey). The sample included Medical Expenditure Panel Survey respondents younger than 65 years from 2008 to 2012.

RESULTS

In unadjusted comparisons, we found that 1.4% of Medicaid enrollees had an ambulatory visit to a dermatologist annually, compared with 1.2% of uninsured individuals and 5.5% of individuals with private coverage. In adjusted models, we found that health insurance source, age, sex, race/ethnicity, and geography are associated with the likelihood of having visits to a dermatologist. Compared with individuals with private coverage, Medicaid enrollees are less likely to receive a diagnosis for a skin condition by any provider and are less than half as likely to have skin-related diagnoses made by dermatologists.

LIMITATIONS

We have relatively few Medical Expenditure Panel Survey respondents for a subset of specific diagnoses.

CONCLUSIONS

Our findings emphasize the need for efforts to reduce disparities in access to dermatologists.

The direct health-care burden of valvular heart disease: evidence from US national survey data

Purpose

This study quantified the overall effects of aortic valve disease (AVD) and mitral valve disease (MVD) by disease severity on direct health-care costs to insurers and patients.

Materials and methods

Based on 1996–2011 data from the Medical Expenditure Panel Survey (MEPS), a large, nationally representative US database, multivariate analyses were performed to assess the relationship between AVD and MVD and direct annual health-care costs to insurers and patients, at individual and US-aggregate levels. Adults aged 18 years and over with diagnosis codes for AVD or MVD based on International Classification of Diseases (ninth revision) diagnosis codes were identified. Subjects were further classified as symptomatic AVD, asymptomatic AVD, symptomatic MVD, and asymptomatic MVD. These classifications were determined with clinical assistance and based in part on data availability in the MEPS.

Results

The MEPS database included 148 patients with AVD: 53 patients with symptomatic AVD, 95 patients with asymptomatic AVD, and 1,051 with MVD, including 315 patients with symptomatic MVD and 736 patients with asymptomatic MVD. Symptomatic AVD had the largest incremental effect on annual per patient health-care expenditure: $12,789 for symptomatic AVD, $10,816 for asymptomatic AVD, $5,163 for symptomatic MVD, and $1,755 for asymptomatic MVD. When aggregated to the US population, heart-valve disease accounted for an incremental annual cost of $23.4 billion. The largest aggregate annual costs were incurred by patients with symptomatic MVD ($7.6 billion), followed by symptomatic AVD ($5.6 billion), asymptomatic MVD ($5.6 billion), and asymptomatic AVD ($4.6 billion).

Conclusion

The annualized incremental costs of heart-valve disease were substantial for all groups examined, and greatest for patients with symptomatic MVD. This reflects the relatively high prevalence associated with this group. With a growing and aging population, the prevalence of heart-valve disease is expected to rise, increasing the burden on public health.

Psychological Distress and Enrollment in Medicaid

Adults with poor mental health may want and need insurance to obtain care, but symptoms may impede enrollment into public health insurance. This study compares Medicaid enrollment responses to eligibility expansions by mental health status using a sample of non-elderly adults in both the 2000-2011 Medical Expenditure Panel Survey and the National Health Interview Survey (N = 27,494). The impact of Medicaid income eligibility thresholds (defined as the maximum family income level allowed in each state to be considered eligible for Medicaid) on Medicaid enrollment was estimated from linear regression models allowing for differential enrollment responses by mental and physical health status. Increasing income eligibility thresholds by 100% of the federal poverty level (FPL) was associated with a five-percentage-point increase in the probability of Medicaid enrollment in the non-disabled population under 300% FPL. The enrollment response to Medicaid expansions prior to the Affordable Care Act was stronger for adults symptomatic of psychological distress compared with adults without distress and compared to adults with chronic physical health problems.

Cancer care cost trends in the United States: 1998 to 2012

BACKGROUND

The authors examine trends in spending on cancer from 1998 through 2012, including cancer care costs, prevalence, and cases by payer, and discuss the results within the context of a prior analysis and recent health policy and programmatic changes.

METHODS

Condition-specific distribution of expenditures from the Medical Expenditure Panel Survey, supplemented with results from the National Nursing Home Survey and other data sources, was used as the basis for allocating the Personal Health Care components of the National Health Expenditure Accounts among conditions.

RESULTS

Cancer care expenditures grew at an annualized rate of 2.9% from 1998 to 2012. The share of expenditures for hospital-based care declined to a low of 48% during 2007 through 2009. Professional and clinical services' shares declined substantially between 2007 to 2009 and 2010 to 2012 when the hospital share increased. Treated prevalence decreased for all payers between the first and last study periods with the exception of private payers (11.2% increase). Out-of-pocket expenditures declined to 4.7%, whereas Medicare's share increased slightly. Medication expenditures increased, notably within retail and mail order settings.

CONCLUSIONS

The previous rapid growth of cancer prevalence and expenditures has now slowed, most remarkably since the 2007 recession. Out-of-pocket expenses for cancer treatment continue to decline, most recently reaching the lowest point in 25 years. In addition, the early effects of Affordable Care Act expansion can be observed in the decline of treated prevalence in the Medicaid population as the demographics of Medicaid enrollees change.

Direct costs of adult chronic rhinosinusitis by using 4 methods of estimation: Results of the US Medical Expenditure Panel Survey

BACKGROUND

Chronic rhinosinusitis (CRS) is an inflammatory disease that affects 2% to 16% of the US population. Despite its increasing prevalence, there are currently limited data in the literature evaluating the economic burden of this disease.

OBJECTIVE

This study aimed to determine the direct health care costs of CRS from the perspective of the US government.

METHODS

A prevalence-based approach was used to estimate cost of illness for CRS from the 2011 Medical Expenditure Panel Survey database by using a 4-part model: (1) an estimated sum of all health care expenditures, (2) an attribution model for disease-specific estimation of expenditures, (3) an estimation based on a propensity score model, and (4) estimated disease-specific expenditure by using a linear regression-based approach. A disease prevalence of 3.5% was used.

RESULTS

The mean CRS-specific annual expenditure was $5955 (95% CI, $5087-$6823) by using method 1 compared with $5560 (95% CI, $4689-$6431) by using method 2 and $5560 (95% CI, $4653-$6467) by using method 3. The annual expenditure, as estimated by using method 4, was $5589 (95% CI, $4986-$6192). Ambulatory expenses accounted for the largest proportion of expenditures, followed by prescription and in-hospital expenses.

CONCLUSIONS

This study provided a range of estimates of the direct medical expenditures associated with CRS. We demonstrated that the economic burden attributable to this disease was an estimated $60.2 to $64.5 billion US dollars in 2011, with a wide variation in the total and incremental direct expenditures depending on the type of estimation model used and the prevalence assumed.

Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study

Background

Health care quality is often linked to patient satisfaction. Yet, there is a lack of national studies examining the relationship between patient satisfaction, patient-reported outcomes, and medical expenditure.

Objective

The aim of this study is to examine the contribution of physical health, mental health, general health, and total health care expenditures to patient satisfaction using a longitudinal, nationally representative sample.

Methods

Using data from the 2010-2011 Medical Expenditure Panel Survey, analyses were conducted to predict patient satisfaction from patient-reported outcomes and total health care expenditures. The study sample consisted of adult participants (N=10,157), with sampling weights representative of 233.26 million people in the United States.

Results

The results indicated that patient-reported outcomes and total health care expenditure were associated with patient satisfaction such that higher physical and mental function, higher general health status, and higher total health care expenditure were associated with higher patient satisfaction.

Conclusions

We found that patient-reported outcomes and total health care expenditure had a significant relationship with patient satisfaction. As more emphasis is placed on health care value and quality, this area of research will become increasingly needed and critical questions should be asked about what we value in health care and whether we can find a balance between patient satisfaction, outcomes, and expenditures. Future research should apply big data analytics to investigate whether there is a differential effect of patient-reported outcomes and medical expenditures on patient satisfaction across different medical specialties.

Predictors of financial difficulties and work modifications among cancer survivors in the United States

PURPOSE

The aim of this study is to examine predictors of cancer-related financial difficulties and work modifications in a national sample of cancer survivors.

METHODS

Using the 2011 Medical Expenditure Panel Survey and Experiences with Cancer Survivorship Supplement, the prevalence of financial difficulties and work modifications was examined. Logistic regression and survey weights were used to model these outcomes as functions of sociodemographic and health covariates separately among survivors in active treatment and survivors under age 65 years.

RESULTS

Among all survivors, 33.2% reported any financial concern, with 17.9% reporting financial difficulties such as debt or bankruptcy. Among working survivors, 44.0% made any work modification and 15.3% made long-term work modifications (e.g., delayed or early retirement). Among those in active treatment, predictors of financial difficulty included: race/ethnicity other than white, non-Hispanic [OR = 8.0; 95% CI 2.2-28.4]; income <200% of federal poverty level (FPL) [OR = 15.7; 95% CI 2.6-95.2] or between 200 and 400% of FPL [OR = 8.2; 95% CI 1.3-51.4]; residence in a non-metropolitan service area [OR = 6.4; 95% CI 1.6-25.0]; and good/fair/poor self-rated health [OR = 3.8; 95% CI 1.0-14.2]. Among survivors under age 65 years, predictors of long-term work modifications included good/fair/poor self-rated health [OR = 4.1; 95% CI 1.6-10.2], being married [OR = 2.2; 95% CI 1.0-4.7], uninsured [OR = 3.5; 95% CI 1.3-9.3], or publicly insured [OR = 9.0; 95% CI 3.3-24.4].

CONCLUSIONS

A substantial proportion of cancer survivors experience cancer-related financial difficulties and work modifications, particularly those who report race/ethnicity other than white, non-Hispanic, residence in non-metropolitan areas, worse health status, lower income, and public or no health insurance.

IMPLICATIONS FOR CANCER SURVIVORS

Attention to the economic impact of cancer treatment is warranted across the survivorship trajectory, with particular attention to subgroups at higher risk.

Influence of socio-demographic characteristics on eye care expenditure: data from the Medical Expenditure Panel Survey 2007

OBJECTIVE

To evaluate the association between sociodemographic factors and eye care expenditure and to assess the burden of ocular expenditure compared to total health care expenditure.

METHODS

A retrospective analysis of ocular expenditure in participants of the 2007 Medical Expenditure Panel Survey. Data from 20,620 unique participants aged ≥18 years were evaluated for eye care expenditure by demographic characteristics.

RESULTS

A total of 22% of the studied population had eye care expenditures in 2007. Demographic factors significantly associated with higher probability of having eye care expenditures included older age (65+ years 35%, 45-64 years 23%, <45 years 17%), female sex (female 26%, male 19%), higher educational attainment (greater than high school education 25%, less than high school education 17%), having insurance (private 24%, uninsured 13%), and visual impairment (mild 31%, none 22%). Older age, female sex, higher educational attainment, having insurance, and presence of visual impairment were also significantly associated with higher mean eye care expenditure. In those with eye care expenditure, the mean ratio between eye care and total medical expenditure was 24%, with uninsured patients spending 42% of their medical care expenditure on eye care.

CONCLUSIONS

Demographic factors are associated with both the probability of having ocular expenditure and the amount of expenditure. Of all factors examined, insurance status has the most potential for modification. Policy makers should consider these numbers when devising the terms by which eye care coverage will be provided under the Patient Protection and Affordable Care Act.