Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample |
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Authors: | Dennis A Revicki Ariane K Kawata Neesha Harnam Wen-Hung Chen Ron D Hays David Cella |
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Institution: | (1) Center for Health Outcomes Research, United BioSource Corporation, 7101 Wisconsin Ave., Suite 600, Bethesda, MD 20814, USA;(2) Division of General Internal Medicine & Health Services Research, Department of Medicine, University of California at Los Angeles, Los Angeles, CA, USA;(3) Department of Medical Social Sciences, Northwestern University, Evanston, IL, USA |
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Abstract: | Background 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.
Methods 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.
Results 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.
Conclusions 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. |
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Keywords: | Health preference scores EQ-5D PROMIS Global health status Health-related quality of life |
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