Computing PROPr Utility Scores for PROMIS® Profile Instruments

• Published in: Value in health Vol. 23; no. 3; pp. 370 - 378
• Main Authors: Dewitt, Barry, Jalal, Hawre, Hanmer, Janel
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2020; Elsevier Science Ltd
• Subjects: Activities of Daily Living; Adolescent; Adult; Aged; Aged, 80 and over; Anxiety - diagnosis; Anxiety - psychology; Bayes Theorem; Bayesian analysis; Clinical outcomes; Cognition; Cognitive ability; Cognitive functioning; Female; Health Status; Health Status Indicators; health utility; Humans; Linear analysis; Male; Mathematical models; Measurement; Mental Health; Middle Aged; Neural networks; Neural Networks, Computer; Pain; Pain Measurement; Patient Reported Outcome Measures; patient-reported outcomes; Predictive Value of Tests; PROMIS; PROPr; Psychometrics; Regression analysis; Reproducibility of Results; Validity; Young Adult; United States > US; patient-reported outcomes; PROPr; PROMIS; health utility

The Patient-Reported Outcomes Measurement Information System® (PROMIS) Profile instruments measure health status on 8 PROMIS domains. The PROMIS-Preference (PROPr) score provides a preference-based summary score for health states defined by 7 PROMIS domains. The Profile and PROPr share 6 domains; PR...