Differences in Health Care Expenditures Among Non-Latino Whites and Asian Subgroups Vary Along the Distribution of the Expenditures

2019 ◽  
pp. 107755871987421 ◽  
Author(s):  
Sungchul Park ◽  
Jie Chen ◽  
Dylan H. Roby ◽  
Alexander N. Ortega

Using a nationally representative sample from the 2013 to 2016 Medical Expenditure Panel Survey, we examined differences among non-Latino Whites and Asian subgroups (Asian Indians, Chinese, Filipinos, and other Asians) across distributions of total health care expenditures and out-of-pocket (OOP) expenditures. For total health care expenditures, differences between Asian and White adults persisted throughout the distribution, but the magnitude of the difference was larger at no or low levels of expenditures than at high expenditure levels. A similar pattern was observed in OOP expenditures, but the magnitude of the difference was substantially larger at low levels of expenditures. The extent of the difference varied by Asian subgroup, but this trend persisted across all the subgroups. Similar trends were observed by nativity and limited English proficiency. Our findings suggest that differences in health care expenditures between Whites and Asians are more pronounced at low expenditure levels.

Author(s):  
David R. Axon ◽  
Jonathan Chien ◽  
Hanh Dinh

This cross-sectional study included a nationally representative sample of U.S. adults aged ≥50 years with self-reported pain in the past 4 weeks from the 2018 Medical Expenditure Panel Survey. Adjusted linear regression analyses accounted for the complex survey design and assessed differences in several types of annual health care expenditures between individuals who reported frequent exercise (≥30 min of moderate–vigorous intensity physical activity ≥5 times per week) and those who did not. Approximately 23,940,144 of 56,979,267 older U.S. adults with pain reported frequent exercise. In adjusted analyses, individuals who reported frequent exercise had 15% lower annual prescription medication expenditures compared with those who did not report frequent exercise (p = .007). There were no statistical differences between frequent exercise status for other health care expenditure types (p > .05). In conclusion, adjusted annual prescription medication expenditures were 15% lower among older U.S. adults with pain who reported frequent exercise versus those who did not.


2011 ◽  
Vol 29 (20) ◽  
pp. 2821-2826 ◽  
Author(s):  
Didem S.M. Bernard ◽  
Stacy L. Farr ◽  
Zhengyi Fang

Purpose To compare the prevalence of high out-of-pocket burdens among patients with cancer with other chronically ill and well patients, and to examine the sociodemographic characteristics associated with high burdens among patients with cancer. Methods The sample included persons 18 to 64 years of age who received treatment for cancer, taken from a nationally representative sample of the US population from the 2001 to 2008 Medical Expenditure Panel Survey. We examined the proportion of persons living in families with high out-of-pocket burdens associated with medical spending, including insurance premiums, relative to income, defining high health care (total) burden as spending more than 20% of income on health care (and premiums). Results The risk of high burdens is significantly greater for patients with cancer compared with other chronically ill and well patients. We find that 13.4% of patients with cancer had high total burdens, in contrast to 9.7% among those with other chronic conditions and 4.4% among those without chronic conditions. Among nonelderly persons with cancer, the following were associated with higher out-of-pocket burdens: private nongroup insurance, age 55 to 64 years, non-Hispanic black, never married or widowed, one child or no children, unemployed, lower income, lower education level, living in nonmetropolitan statistical areas, and having other chronic conditions. Conclusion High burdens may affect treatment choice and deter patients from getting care. Thus, although a detailed patient-physician discussion of costs of care may not be feasible, we believe that an awareness of out-of-pocket burdens among patients with cancer is useful for clinical oncologists.


Author(s):  
Victor Okunrintemi ◽  
Erica Spatz ◽  
Joseph Salami ◽  
Haider Warraich ◽  
Salim Virani ◽  
...  

Background: With recent enactment of Accountable Care Act, consumer reported patient-provider communication (PPC) assessed by Consumer Assessment of Health Plans Survey (CAHPS) in ambulatory settings is incorporated as a complementary value metric for patient-centered care of chronic conditions in pay-for-performance programs. In this study, we examine the relationship of PPC with select indicators of patient-centered care in a nationally representative adult US population with established atherosclerotic cardiovascular disease (ASCVD). Methods: The study population consisted of a nationally representative sample of 8223 individuals (age ≥ 18 years) representing 21.6 million with established ASCVD (self-reported or ICD-9 diagnosis) reporting a usual source of care in the 2010-2013 pooled Medical Expenditure Panel Survey (MEPS) cohort. Participants responded to questions from CAHPS that assess satisfaction with PPC (four-point response scale: never, sometimes, usually, always ) :(1) “How often providers show respect for what you had to say” (2) “How often health care providers listened carefully to you” (3) “How often health care providers explained things so you understood” (4) “How often health providers spent enough time with you” We developed a weighted PPC composite score, categorized as 1 ( never / sometimes ), 2 ( usually ), and 3 ( always ). Outcomes of interest were 1) patient reported outcomes (PRO): SF-12 physical/mental health status, 2) quality of care measures: statin and ASA use, 3) health-care resource utilization (HRU): Emergency room visits & hospital stays, 4) total annual and out of pocket healthcare expenditures (HCE). Results: As shown in the table, those with ASCVD reporting ineffective (never/sometimes) vs. effective PCC (always) were over 2-fold more likely to report poor PRO, 34% & 22% less likely to report statin and ASA use respectively, had a significantly greater HRU (OR≥ 2 ER visit: 1.40 [95% CI:1.09-1.80], OR≥ 2 hospitalization: 1.35 [95% CI:1.02-1.77], as well as an estimated $1,294 ($121-2468) higher annual HCE. Conclusion: This study reveals a strong relationship between patient-physician communication among those with established ASCVD with patient-reported outcomes, utilization of evidence based therapies, healthcare resource utilization and expenditures.


Lupus ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1107-1115 ◽  
Author(s):  
M E Ogunsanya ◽  
S O Nduaguba ◽  
C M Brown

Objectives The objective of this paper is to describe the annual direct medical expenditures for cutaneous lupus erythematosus (CLE) patients, and to estimate the incremental health care expenditures and utilization associated with depression among adults with CLE, while controlling for covariates. Methods Using the 2014 Medical Expenditure Panel Survey (MEPS), we compared CLE patients with and without depression to determine differences in: (a) health care utilization—inpatient, outpatient, office-based and emergency room (ER) visits, and prescriptions filled; and (b) expenditures—total costs, inpatient, outpatient, office-based, ER, and prescription medication costs, and other costs using demography-adjusted and comorbidity-adjusted multivariate models (age, gender, race/ethnicity, marital status, education, perception of health status, poverty category, smoking status, and Charlson Comorbidity Index). Results The total direct medical expenditure associated with CLE is estimated at approximately $29.7 billion in 2014 US dollars. After adjusting for covariates, adults with CLE and depression had more hospital discharges (utilization ratio (UR) = 1.13, 95% confidence interval (CI) (1.00–1.28)), ER visits (UR = 1.17, 95% CI (1.09–1.37)), and prescribed medicines (UR = 2.15, 95% CI (1.51–3.05)) than those without depression. Adults with CLE and depression had significantly higher average annual total expenditure that those without depression ($19,854 vs. $9735). Conclusions High health care expenditures are significant for patients with CLE, especially among those with depression. Prescription drugs, inpatient visits, and ER visits contributed most to the total expenditures in CLE patients with depression. Early diagnosis and treatment of depression in CLE patients may reduce total health care expenditures and utilization in this population.


Author(s):  
Javier Valero-Elizondo ◽  
Joseph A Salami ◽  
Oluseye Ogunmoroti ◽  
Shozab Ali ◽  
Alejandro Arrieta ◽  
...  

Background: Depression is commonly present in patients with cardiovascular disease (CVD). Among those with established CVD, depression is more common in women and associated with worse outcome. However, how depression affects overall health care expenditures, as well as whether depression among women has a greater impact on medical costs, has not been well studied, which is the aim of the present study. Methods: The 2012 Medical Expenditure Panel Survey was analyzed to explore this project. Variables of interest were defined as CVD (coronary artery disease, stroke, peripheral artery disease, dysrhythmias or heart failure) and depression diagnoses, ascertained by ICD-9-CM codes (410, 413, 433-437, 427-28, 440, 443, 447 and 296, 311, respectively). We restricted our study population to non-institutionalized adults ≥ 18 years of age. Two-part models were utilized to study cost data; a generalized linear model with gamma distribution and link log was used to assess the mean expenditure per capita for each sex/depression status. Results: 27,288 surveyed persons constituted our study population (mean age 67 ± 12.4, 46% female), translating to an approximate of 231 million people across the U.S. Overall, CVD was noted in 15.6 million, of which 18% were patients with depression (2.9 million). Of this nationally representative sample, those with CVD were 86% more likely to be diagnosed with depression (OR 1.86, 95% CI 1.51, 2.28, p<0.001) than Non-CVD. Additionally, among CVD individuals, females were 66% more likely be diagnosed with depression than males (OR 1.66, 95% CI 1.23, 2.23, p=0.001). CVD diagnosis was independently associated with higher healthcare costs among individuals with depression. Moreover, on adjusted analysis, females with depression were also associated with $4,380.14 higher medical costs than those without depression (Table 1). When comparing female vs. males with CVD and depression diagnoses, adjusted mean expenditure per capita was $14,162 (95% CI 10,211 - 18,112) and $11,325 (95% CI 7,769 - 14,881), respectively. Conclusion: CVD patients, especially women, were more likely to have depression, and had considerable higher medical expenditures. The results reinforce the paramount importance of assessing and managing depression among those with CVD to favorably impact healthcare costs.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Javier Valero-Elizondo ◽  
Joseph A Salami ◽  
Oluseye Ogunmoroti ◽  
Ehimen C Aneni ◽  
Rehan Malik ◽  
...  

Background: The AHA’s 2020 Strategic Goals emphasize the value of favorable modifiable risk factor (MRF) profile to reduce the burden of CVD morbidity and mortality. In this study we aimed to quantify the overall and incremental impact of MRF on health care expenditure in the U.S among those with and without CVD. Methods: The study population was derived from the 2012 Medical Expenditure Panel Survey (MEPS), a nationally representative adult sample (≥ 40 years). Direct costs were calculated for all-cause health care resource utilization. Variables of interest included CVD diagnoses (coronary artery disease, stroke, peripheral artery disease, dysrhythmias or heart failure), ascertained by ICD-9-CM codes, and MRF (hypertension, diabetes mellitus, hypercholesterolemia, smoking, physical activity and/or obesity). Two-part econometric models were utilized to study cost data; a generalized linear model with gamma distribution and link log was used to assess expenditures, taking into consideration the survey’s complex design. Results: The final study sample consisted of 15,651 MEPS participants (57 ± 12 years, 52% female). Overall, 6,231 (39%) had 0-1, 7,429 (49%) had 2-3, and 1,991 (12%) had ≥ 4 MRF, translating to 55.5, 69.9 and 17.9 million adults ≥ 40 years in U.S, respectively. Generally, there was a direct decrease in health expenditures with favorable MRF across CVD status (Table). These differences persisted after taking into account demographics, insurance status and comorbid conditions. Among those without established CVD, the average medical expenditure was $4,013 (95% CI 5,117, 2,910) and $2,696 (95% CI 4,416, 977) lower for those with 0-1 & 2-3 MRF, as compared to those with ≥ 4 MRF. Conclusion: Favorable MRF profile is associated with significantly lower medical expenditure among individuals with and without established CVD. Our study provides robust estimates for potential healthcare savings with nationwide policies focusing on preventing and managing modifiable CV risk factors.


2021 ◽  
pp. 003335492097980
Author(s):  
Olga A. Khavjou ◽  
Wayne L. Anderson ◽  
Amanda A. Honeycutt ◽  
Laurel G. Bates ◽  
NaTasha D. Hollis ◽  
...  

Objective Given the growth in national disability-associated health care expenditures (DAHE) and the changes in health insurance–specific DAHE distribution, updated estimates of state-level DAHE are needed. The objective of this study was to update state-level estimates of DAHE. Methods We combined data from the 2013-2015 Medical Expenditure Panel Survey, 2013-2015 Behavioral Risk Factor Surveillance System, and 2014 National Health Expenditure Accounts to calculate state-level DAHE for US adults in total, per adult, and per (adult) person with disability (PWD). We adjusted expenditures to 2017 prices and assessed changes in DAHE from 2003 to 2015. Results In 2015, DAHE were $868 billion nationally (range, $1.4 billion in Wyoming to $102.8 billion in California) accounting for 36% of total health care expenditures (range, 29%-41%). From 2003 to 2015, total DAHE increased by 65% (range, 35%-125%). In 2015, DAHE per PWD were highest in the District of Columbia ($27 839) and lowest in Alabama ($12 603). From 2003 to 2015, per-PWD DAHE increased by 13% (range, −20% to 61%) and per-capita DAHE increased by 28% (range, 7%-84%). In 2015, Medicare DAHE per PWD ranged from $10 067 in Alaska to $18 768 in New Jersey. Medicaid DAHE per PWD ranged from $9825 in Nevada to $43 365 in the District of Columbia. Nonpublic–health insurer per-PWD DAHE ranged from $7641 in Arkansas to $18 796 in Alaska. Conclusion DAHE are substantial and vary by state. The public sector largely supports the health care costs of people with disabilities. State policy makers and other stakeholders can use these results to inform the development of public health programs that support and provide ongoing health care to people with disabilities.


Pain Medicine ◽  
2020 ◽  
Author(s):  
David R Axon ◽  
Marion Slack ◽  
Leila Barraza ◽  
Jeannie K Lee ◽  
Terri Warholak

Abstract 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 &lt; 0.0001), 69% greater office-based (β = 0.524, P &lt; 0.0001), 14% greater emergency room (β = 0.131, P = 0.0045), 63% greater prescription medication (β = 0.486, P &lt; 0.0001), 29% greater other (β = 0.251, P = 0.0002), and 105% greater total (β = 0.718, P &lt; 0.0001) health care expenditures. There was no difference in opioid prescription status for inpatient expenditures (P &gt; 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.


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