Using Linear Equating to Map PROMIS(®) Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health...

Area of Science:

• Health Economics
• Psychometrics
• Clinical Research

Background:

• Preference-based health-related quality of life (HR-QOL) scores are crucial for clinical studies and population health monitoring.
• These scores are essential for estimating quality-adjusted life-years (QALYs).

Purpose of the Study:

• To evaluate the feasibility of estimating Health Utilities Index Mark 3 (HUI-3) preference scores using Patient-Reported Outcomes Measurement Information System (PROMIS) measures.
• To assess the utility of PROMIS measures for economic evaluations and overall HR-QOL assessment.

Main Methods:

• Secondary analysis of an internet survey dataset from the PROMIS project.
• Utilized PROMIS global health items, PROMIS-29 V2.0 pain item, and PROMIS-29 V2.0 scales to predict HUI-3 scores.
• Employed linear regression and simple linear equating to estimate and validate scores, controlling for regression to the mean.

Main Results:

• Regression models explained a substantial portion of the variance in HUI-3 scores: 48% (global health items), 61% (PROMIS-29 scales), and 64% (PROMIS-29 items).
• Linear equated scores closely approximated observed scores.
• Minor discrepancies between estimated and observed scores were noted, particularly in older participants.

Conclusions:

• HUI-3 preference scores can be reliably estimated using PROMIS global health items and PROMIS-29 V2.0 measures.
• Estimated HUI-3 scores derived from PROMIS data are suitable for economic applications.
• PROMIS-derived HUI-3 scores offer a valuable tool for assessing overall HR-QOL in research settings.