title: The PROMIS of QALYs.
abstract: Measuring health and health-related quality of life (HRQoL) is important for tracking the health of individuals and populations over time. Generic HRQoL measures allow for comparison across health conditions. One form of generic HRQoL measures are profile measures, which provide a description of health across several different domains (such as physical functioning, depression, and pain). Recent advances in health profile measurement include the development of measures based on item response theory. The Patient-Reported Outcomes Measurement Information System (PROMIS®) has been constructed using this theory. Another form of generic HRQoL measures are utility measures, which assess the value of health states. Multi-attribute utility theory provides a framework for valuing disparate domains of health and aggregating them into a single preference-based score. Such a score provides an overall measure of health outcomes as well as a quality of life weight for use in decision analyses and cost-effectiveness analyses. Developing a utility score for PROMIS® would allow simultaneous estimation of both health profile and utility scores using a single measure. The purpose of this paper is to provide a roadmap of the methodological steps necessary to create such a scoring system.
authors.affiliation: Department of General Internal Medicine, University of Pittsburgh Medical Center, 230 McKee Place, Suite 600, Pittsburgh, PA, 15213, USA. hanmerjz@upmc.edu.
authors.forename: Janel
authors.initials: J
authors.lastname: Hanmer
authors.affiliation: Department of Economics, McMaster University, Hamilton, ON, Canada; Health Utilities Incorporated, Dundas, ON, Canada. feeny@mcmaster.ca.
authors.forename: David
authors.initials: D
authors.lastname: Feeny
authors.affiliation: Department of Engineering and Public Policy and Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA. baruch@cmu.edu.
authors.forename: Baruch
authors.initials: B
authors.lastname: Fischhoff
authors.affiliation: Division of General Internal Medicine & Health Services Research, UCLA, Los Angeles, CA, USA. drhays@g.ucla.edu.
authors.forename: Ron D
authors.initials: RD
authors.lastname: Hays
authors.affiliation: Division of Health System Innovation and Research, University of Utah Schools of the Health Sciences, Salt Lake City, UT, USA. rachel.hess@hsc.utah.edu.
authors.forename: Rachel
authors.initials: R
authors.lastname: Hess
authors.affiliation: Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. pilkonispa@upmc.edu.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Pilkonis
authors.affiliation: Outcomes Research, Evidera, Bethesda, MD, USA. Dennis.Revicki@evidera.com.
authors.forename: Dennis A
authors.initials: DA
authors.lastname: Revicki
authors.affiliation: Department of General Internal Medicine, University of Pittsburgh Medical Center, 230 McKee Place, Suite 600, Pittsburgh, PA, 15213, USA. mroberts@pitt.edu.|Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA. mroberts@pitt.edu.
authors.forename: Mark S
authors.initials: MS
authors.lastname: Roberts
authors.affiliation: Division of General Internal Medicine, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH, USA. joel.tsevat@uc.edu.
authors.forename: Joel
authors.initials: J
authors.lastname: Tsevat
authors.affiliation: Department of General Internal Medicine, University of Pittsburgh Medical Center, 230 McKee Place, Suite 600, Pittsburgh, PA, 15213, USA. Yul2@upmc.edu.
authors.forename: Lan
authors.initials: L
authors.lastname: Yu
mesh_terms: D006304:Health Status; D006306:Health Surveys; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011788:Quality of Life; D019057:Quality-Adjusted Life Years; D057566:Self Report; D011795:Surveys and Questionnaires