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Med Decis Making. 2018 Aug;38(6):683-698. doi: 10.1177/0272989X18776637. Epub 2018 Jun 26.

Estimation of a Preference-Based Summary Score for the Patient-Reported Outcomes Measurement Information System: The PROMIS®-Preference (PROPr) Scoring System.

Author information

1
Carnegie Mellon University, Department of Engineering and Public Policy, Pittsburgh, PA, USA.
2
McMaster University Faculty of Social Sciences, Hamilton, ON, Canada.
3
Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
4
University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA.
5
University of Utah, Salt Lake City, UT, USA.
6
University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
7
Evidera Inc, Bethesda, MD, USA.
8
University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
9
University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.

Abstract

BACKGROUND:

Health-related quality of life (HRQL) preference-based scores are used to assess the health of populations and patients and for cost-effectiveness analyses. The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS®) consists of patient-reported outcome measures developed using item response theory. PROMIS is in need of a direct preference-based scoring system for assigning values to health states.

OBJECTIVE:

To produce societal preference-based scores for 7 PROMIS domains: Cognitive Function-Abilities, Depression, Fatigue, Pain Interference, Physical Function, Sleep Disturbance, and Ability to Participate in Social Roles and Activities.

SETTING:

Online survey of a US nationally representative sample ( n = 983).

METHODS:

Preferences for PROMIS health states were elicited with the standard gamble to obtain both single-attribute scoring functions for each of the 7 PROMIS domains and a multiplicative multiattribute utility (scoring) function.

RESULTS:

The 7 single-attribute scoring functions were fit using isotonic regression with linear interpolation. The multiplicative multiattribute summary function estimates utilities for PROMIS multiattribute health states on a scale where 0 is the utility of being dead and 1 the utility of "full health." The lowest possible score is -0.022 (for a state viewed as worse than dead), and the highest possible score is 1.

LIMITATIONS:

The online survey systematically excludes some subgroups, such as the visually impaired and illiterate.

CONCLUSIONS:

A generic societal preference-based scoring system is now available for all studies using these 7 PROMIS health domains.

KEYWORDS:

PROMIS; US general population; health utility; health-related quality of life

PMID:
29944456
DOI:
10.1177/0272989X18776637
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