Using Linear Equating to Map PROMIS® Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3

Ron D. Hays (), Dennis A. Revicki, David Feeny, Peter Fayers, Karen L. Spritzer and David Cella
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Ron D. Hays: UCLA
Dennis A. Revicki: Evidera
Peter Fayers: University of Aberdeen
Karen L. Spritzer: UCLA
David Cella: Northwestern University Feinberg School of Medicine

PharmacoEconomics, 2016, vol. 34, issue 10, No 6, 1015-1022

Abstract: Abstract Background 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. Methods 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. Results 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. Conclusions 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.

Date: 2016
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s40273-016-0408-x

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