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

Abstract

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.

Adapting summary scores for the PROMIS-29 v2.0 for use among older adults with multiple chronic conditions

“…The present study helps open up a similar possibility for the use of the PHS and MHS, and also points the way toward how these scores can be adapted for use in a particular population. In addition to future validation work that is needed to assess their scoring system in different samples, algorithms have been developed in the PROMIS project to estimate the EO-5D-3L [25] and the HUI-3 [26] from the PROMIS-29 scales. Preference-based scoring functions can also be estimated directly from the PROMIS-29 [27-29].…”

Selection of key health domains from PROMIS® for a generic preference-based scoring system

“…One uses regression or linear equating methods to estimate EQ-5D-3L and HUI3 scores from PROMIS-29 and PROMIS Global scores, despite known limitations [25, 26]. The other used discrete choice experiments to elicit evaluations of health profiles constructed from the PROMIS-29 [27] without testing for structural independence.…”

Health‐related quality of life in adolescents and young adults with cancer – Including a focus on economic evaluation

“…At present, a potential disadvantage of PROMIS is the lack of an overall single summary score combining all of the domains assessed. In the context of the adult versions of PROMIS, the efforts of Hays et al and Dewitt et al are examples of strategies to fill this gap.…”

“…All were developed with input from AYAs with cancer. For Impact of Cancer -Core Scale, this involved 64 young adults and for Late Adolescence and Young Adulthood Survivorship These measures all address AYAs but the CNQ-YP does not target [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] year olds and has no content relating to sexual health and intimacy.…”