US valuation of health outcomes measured using the PROMIS-29

Benjamin M Craig; Bryce B Reeve; Paul M Brown; David Cella; Ron D Hays; Joseph Lipscomb; A Simon Pickard; Dennis A Revicki

doi:10.1016/j.jval.2014.09.005

US valuation of health outcomes measured using the PROMIS-29

Value Health. 2014 Dec;17(8):846-53. doi: 10.1016/j.jval.2014.09.005.

Authors

Benjamin M Craig¹, Bryce B Reeve², Paul M Brown³, David Cella⁴, Ron D Hays⁵, Joseph Lipscomb⁶, A Simon Pickard⁷, Dennis A Revicki⁸

Affiliations

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.

Keywords: discrete choice experiments; patient-reported outcomes; quality-adjusted life-years.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Adolescent
Adult
Anxiety / psychology
Choice Behavior*
Depression / psychology
Fatigue / psychology
Female
Health Status*
Humans
Male
Middle Aged
Models, Economic*
Pain / psychology
Psychometrics
Quality of Life / psychology*
Quality-Adjusted Life Years
Reproducibility of Results
Sleep
Socioeconomic Factors
Surveys and Questionnaires*
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding