4.4 Article

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

Journal

MEDICAL DECISION MAKING
Volume 38, Issue 6, Pages 683-698

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/0272989X18776637

Keywords

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

Funding

  1. Social Sciences and Humanities Research Council of Canada Doctoral Fellowship
  2. National Institutes of Health [KL2 TR001856, UL1TR000005]
  3. National Cancer Institute [1U2C-CA186878-01]
  4. Swedish Foundation for the Humanities and Social Sciences
  5. [3U54AR057951-04S4]
  6. NATIONAL CANCER INSTITUTE [U2CCA186878] Funding Source: NIH RePORTER
  7. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [KL2TR001856] Funding Source: NIH RePORTER

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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.

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