Abstract
Preference-based health index scores provide a single summary score assessing overall health-related quality of life and are useful as an outcome measure in clinical studies, for estimating quality-adjusted life years for economic evaluations, and for monitoring the health of populations. We predicted EuroQoL (EQ-5D) index scores from patient-reported outcomes measurement information system (PROMIS) global items and domain item banks. This was a secondary analysis of health outcome data collected in an internet survey as part of the PROMIS Wave 1 field testing. For this study, we included the 10 global items and the physical function, fatigue, pain impact, anxiety, and depression item banks. Linear regression analyses were used to predict EQ-5D index scores based on the global items and selected domain banks. The regression models using eight of the PROMIS global items (quality of life, physical activities, mental health, emotional problems, social activities, pain, and fatigue and either general health or physical health items) explained 65% of the variance in the EQ-5D. When the PROMIS domain scores were included in a regression model, 57% of the variance was explained in EQ-5D scores. Comparisons of predicted to actual EQ-5D scores by age and gender groups showed that they were similar. EQ-5D preference scores can be predicted accurately from either the PROMIS global items or selected domain banks. Application of the derived regression model allows the estimation of health preference scores from the PROMIS health measures for use in economic evaluations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 783-791 |
| Number of pages | 9 |
| Journal | Quality of Life Research |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| State | Published - Aug 2009 |
Funding
The Patient-Reported Outcomes Measurement Information System (PROMIS) is one of the National Institutes of Health (NIH) Roadmap initiatives to develop a computerized system measuring patient-reported outcomes in respondents with a wide range of chronic diseases and demographic characteristics. PROMIS was funded by cooperative agreements to a Statistical Coordinating Center (Evanston Northwestern Healthcare, PI: David Cella, PhD, U01R52177) and six Primary Research Sites (Duke University, PI: Kevin Weinfurt, PhD, U01AR52186; University of North Carolina, PI: Darren DeW-alt, MD, MPH, U01AR52181; University of Pittsburgh, PI: Paul A. Pilkonis, PhD, U01AR52155; Stanford University, PI: James Fries, PhD, U01AR52158; Stony Brook University, PI: Arthur Stone, PhD, U01AR52170; and University of Washington, PI: Dagmar Amtmann, PhD, U01AR52171). NIH Science Officers on this project are Deborah Ader, PhD; Susan Czajkowski, PhD; Lawrence Fine, MD, DrPH; Louis Quatrano, PhD; Bryce Reeves, PhD; William Riley, PhD; and Susana Serrate-Sztein, PhD. See the website at http://www.nihpromis. org for additional information on the PROMIS cooperative group. Acknowledgments This work was funded by the National Institutes of Health through the NIH Roadmap for Medical Research Cooperative Agreement (1U01-AR052177).
Keywords
- EQ-5D
- Global health status
- Health preference scores
- Health-related quality of life
- PROMIS
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
