scholarly journals Medical Expenditure Measures in the Health and Retirement Study

2011 ◽  
Vol 14 (3) ◽  
Author(s):  
Dana P Goldman ◽  
Julie Zissimopoulos ◽  
Yang Lu

This paper reviews out-of-pocket (OOP) medical expenditure measures collected in the Health and Retirement Study (HRS). Medical expenditures are an important cost of poor health. Medical expenditure measures are important for understanding retirement decisions, financial preparation for retirement, and predicting the consequences of health care reform, particularly Medicare reform. Despite the comprehensiveness of the HRS, there are always limitations to what can be learned from population interviews. To assess the quality of current HRS measures of OOP spending, we compare various measures of OOP spending across survey waves to the Medical Expenditure Panel Survey (MEPS) and Medicare Current Beneficiary Survey (MCBS), two surveys that expend considerable resources on measuring both OOP spending and total medical expenditures. Such comparisons make it possible to identify potential bias in the HRS data and to improve HRS measures of OOP. We find that the HRS produces good quality and useful data on OOP spending.

2021 ◽  
Vol 10 (3) ◽  
pp. 1
Author(s):  
Jongwha Chang ◽  
Jangkwon Cho ◽  
Mar Medina ◽  
Stephanie Falcon ◽  
Paulina Soto-Ruiz ◽  
...  

There is a lack of U.S. population-based research surrounding the marked decrease in health-related quality of life (HRQoL) caused by the morbidity of mental disorders in the U.S. Hispanic demographic. This cross-sectional study utilized data from the 2013-2017 Medical Expenditure Panel Survey (MEPS) to identify Hispanic community-dwelling residents with mental disorders in the U.S. The independent variable was the presence of mental disorders, and the dependent variable was HRQoL. HRQoL was measured with the Short Form 12 (SF-12) Physical Health Composite Scale (PCS) and Mental Health Composite Scale (MCS). A total of 34,434 patients met the inclusion criteria, representing about 38,683,299 Hispanic individuals. Of this group, those older than 18 were stratified by the presence of mental disorders. The two groups were those with mental disorders: 4,122 individuals representing a sample size of 4,789,634; and those without mental disorders: 30,312 individuals representing a sample size of 33,893,665. Based on our study, Hispanic patients with mental disorders were associated with lower HRQoL scores. SF-12 PCS scores (95% CI) were 45.3 (44.5, 46.1) for those with mental disorders and 50.8 (50.5, 51.0) for those without mental disorders. SF-12 MCS scores (95% CI) were 42.6 (42, 43.3) in patients with mental disorders and 52.6 (52.3, 52.8) in patients without mental disorders. These differences in scores denote the impact of mental health disorders on HRQoL scores in the Hispanic demographic and mark the way for further research on identifying means of improving such scores for Hispanic patients.


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