Benjamin M Craig1, Bryce B Reeve2, Paul M Brown3, David Cella4, Ron D Hays5, Joseph Lipscomb6, A Simon Pickard7, Dennis A Revicki8. 1. Health Outcomes and Behavior, Moffitt Cancer Center and University of South Florida, Tampa, FL, USA. Electronic address: benjamin.craig@moffitt.org. 2. Department of Health Policy and Management, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 3. School of Social Sciences, Humanities and Arts, University of California, Merced, Merced, CA, USA. 4. Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA. 5. Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; RAND, Health Program, Santa Monica, CA, USA. 6. Department of Health and Policy Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA. 7. Department of Pharmacy Systems, Outcomes and Policy, University of Illinois at Chicago, Chicago, IL, USA. 8. Outcomes Research, Evidera, Bethesda, MD, USA.
Abstract
OBJECTIVES: Health valuation studies enhance economic evaluations of treatments by estimating the value of health-related quality of life (HRQOL). The Patient-Reported Outcomes Measurement Information System (PROMIS) includes a 29-item short-form HRQOL measure, the PROMIS-29. METHODS: To value PROMIS-29 responses on a quality-adjusted life-year scale, we conducted a national survey (N = 7557) using quota sampling based on the US 2010 Census. Based on 541 paired comparisons with over 350 responses each, pair-specific probabilities were incorporated into a weighted least-squared estimator. RESULTS: All losses in HRQOL influenced choice; however, respondents valued losses in physical function, anxiety, depression, sleep, and pain more than those in fatigue and social functioning. CONCLUSIONS: This article introduces a novel approach to valuing HRQOL for economic evaluations using paired comparisons and provides a tool to translate PROMIS-29 responses into quality-adjusted life-years.
OBJECTIVES: Health valuation studies enhance economic evaluations of treatments by estimating the value of health-related quality of life (HRQOL). The Patient-Reported Outcomes Measurement Information System (PROMIS) includes a 29-item short-form HRQOL measure, the PROMIS-29. METHODS: To value PROMIS-29 responses on a quality-adjusted life-year scale, we conducted a national survey (N = 7557) using quota sampling based on the US 2010 Census. Based on 541 paired comparisons with over 350 responses each, pair-specific probabilities were incorporated into a weighted least-squared estimator. RESULTS: All losses in HRQOL influenced choice; however, respondents valued losses in physical function, anxiety, depression, sleep, and pain more than those in fatigue and social functioning. CONCLUSIONS: This article introduces a novel approach to valuing HRQOL for economic evaluations using paired comparisons and provides a tool to translate PROMIS-29 responses into quality-adjusted life-years.
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