Comparing the Performance of 2 Health Utility Measures in the Medicare Health Outcome Survey (HOS)

Haomiao Jia, Erica I. Lubetkin, Kimberly DeMichele, Debra S. Stark, Matthew M. Zack and William W. Thompson

Medical Decision Making, 2018, vol. 38, issue 8, 983-993

Abstract: Background . The Medicare Health Outcomes Survey (HOS), a nationwide annual survey of Medicare beneficiaries, includes the Centers for Disease Control and Prevention’s HRQOL-4 questionnaire and Veterans RAND 12-item Health Survey (VR-12). This study compared EQ-5D scores derived from the HRQOL-4 (dEQ-5D) to SF-6D scores derived from VR-12. Methods . Data were from Medicare HOS Cohort 15 (2012 baseline; 2014 follow-up). We included participants aged 65+ ( n = 105,473). We compared score distributions, evaluated known-groups validity, assessed each index as a predictor for mortality, and estimated quality-adjusted life years (QALYs) using the dEQ-5D and SF-6D. Results . Compared to the SF-6D, the dEQ-5D had a higher mean score (0.787 v. 0.691) and larger standard deviation (0.310 v. 0.101). The decreases in estimated scores associated with chronic conditions were greater for the dEQ-5D than for the SF-6D. For example, dEQ-5D scores for persons with depression decreased 0.456 points compared to 0.141 points for the SF-6D. The dEQ-5D strongly predicted mortality, as adjusted hazard ratios for the first to fourth quintiles, relative to the fifth quintile, were 2.2, 1.7, 1.8, and 1.5, respectively, while the association between SF-6D and mortality was weaker or nonexistent (adjusted hazard ratios were 1.3, 1.1, 1.0, and 0.6, respectively). Compared to the SF-6D, QALYs estimated using the dEQ-5D were higher overall (5.6 v. 4.9 years), higher for persons with less debilitating conditions (e.g., hypertension, 5.0 v. 4.4 years), and lower for more debilitating conditions (e.g. depression, 2.5 v. 2.8 years). Conclusions . Compared to the SF-6D, the dEQ-5D was better able to measure individuals’ overall health; detect the differential impact of chronic conditions, particularly among persons in poorer health; and predict mortality. The HRQOL-4 questionnaire may be valuable for monitoring and improving health outcomes for the Medical HOS data set.

Keywords: health-related quality of life (HRQOL); health utility; SF-6D; EQ-5D; HRQOL-4; quality-adjusted life year (QALY) (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X18808494 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:38:y:2018:i:8:p:983-993

DOI: 10.1177/0272989X18808494

Access Statistics for this article

More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().