Using Linear Equating to Map PROMIS(®) Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3.
Preference-based health-related quality of life (HR-QOL) scores are useful as outcome measures in clinical studies, for monitoring the health of populations, and for estimating quality-adjusted life-years.



This was a secondary analysis of data collected in an internet survey as part of the Patient-Reported Outcomes Measurement Information System (PROMIS(®)) project. To estimate Health Utilities Index Mark 3 (HUI-3) preference scores, we used the ten PROMIS(®) global health items, the PROMIS-29 V2.0 single pain intensity item and seven multi-item scales (physical functioning, fatigue, pain interference, depressive symptoms, anxiety, ability to participate in social roles and activities, sleep disturbance), and the PROMIS-29 V2.0 items. Linear regression analyses were used to identify significant predictors, followed by simple linear equating to avoid regression to the mean.



The regression models explained 48 % (global health items), 61 % (PROMIS-29 V2.0 scales), and 64 % (PROMIS-29 V2.0 items) of the variance in the HUI-3 preference score. Linear equated scores were similar to observed scores, although differences tended to be larger for older study participants.



HUI-3 preference scores can be estimated from the PROMIS(®) global health items or PROMIS-29 V2.0. The estimated HUI-3 scores from the PROMIS(®) health measures can be used for economic applications and as a measure of overall HR-QOL in research.
Division of General Internal Medicine, Department of Medicine, UCLA, 911 Broxton Avenue, Los Angeles, CA, 90024, USA. drhays@ucla.edu.
Ron D
RD
Hays
Outcomes Research, Evidera, Bethesda, MD, USA.
Dennis A
DA
Revicki
Department of Economics, McMaster University, Hamilton, ON, Canada.|Health Utilities Incorporated, Dundas, ON, Canada.
David
D
Feeny
Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.|Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Peter
P
Fayers
Division of General Internal Medicine, Department of Medicine, UCLA, 911 Broxton Avenue, Los Angeles, CA, 90024, USA.
Karen L
KL
Spritzer
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
David
D
Cella
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006304:Health Status; D006305:Health Status Indicators; D006801:Humans; D020407:Internet; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011788:Quality of Life; D019057:Quality-Adjusted Life Years; D011795:Surveys and Questionnaires; D055815:Young Adult