Background
Preference-based health-related quality of life scores are useful as outcome measures in clinical studies, for monitoring 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. We used the 10 PROMIS global health items, the PROMIS-29 V. 2 single pain intensity item and 7 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 V. 2 items to estimate HUI-3 preference scores. 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 V. 2 scales) and 64% (PROMIS-29 V. 2 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 the PROMIS-29 V. 2. The estimated HUI-3 scores from the PROMIS health measures can be used for economic applications and as a measure of overall health-related quality of life in research.