Cross-sectional validation of the PROMIS-Preference scoring system
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Date
2018-07-31
Authors
Hanmer, Janel
Dewitt, Barry
Yu, Lan
Tsevat, Joel
Roberts, Mark
Revicki, Dennis
Pilkonis, Paul A.
Hess, Rachel
Hays, Ron D.
Fischhoff, Baruch
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
Abstract
Objectives
The PROMIS-Preference (PROPr) score is a recently developed summary score for the
Patient-Reported Outcomes Measurement Information System (PROMIS). PROPr is a preference-based scoring system for seven PROMIS domains created using multiplicative
multi-attribute utility theory. It serves as a generic, societal, preference-based summary
scoring system of health-related quality of life. This manuscript evaluates construct validity
of PROPr in two large samples from the US general population.
Methods
We utilized 2 online panel surveys, the PROPr Estimation Survey and the Profiles-Health Utilities Index (HUI) Survey. Both included the PROPr measure, patient demographic information, self-reported chronic conditions, and other preference-based summary scores: the EuroQol-5D (EQ-5D-5L) and HUI in the PROPr Estimation Survey and the HUI in the Profiles-HUI Survey. The HUI was scored as both the Mark 2 and the Mark 3. Known-groups validity was evaluated using age- and gender-stratified mean scores and health condition impact estimates. Condition impact estimates were created using ordinary least squares regression in which a summary score was regressed on age, gender, and a single health condition. The coefficient for the health condition is the estimated effect on the preference score of having a condition vs. not having it. Convergent validity was evaluated using Pearson correlations between PROPr and other summary scores.
Results
The sample consisted of 983 respondents from the PROPr Estimation Survey and 3,000 from the Profiles-HUI survey. Age- and gender-stratified mean PROPr scores were lower than EQ-5D and HUI scores, with fewer subjects having scores corresponding to perfect health on the PROPr. In the PROPr Estimation survey, all 11 condition impact estimates were statistically significant using PROPr, 8 were statistically significant by the EQ-5D, 7 were statistically significant by HUI Mark 2, and 9 were statistically significant by HUI Mark 3. In the Profiles-HUI survey, all 21 condition impact estimates were statistically significant using summary scores from all three scoring systems. In these samples, the correlations between PROPr and the other summary measures ranged from 0.67 to 0.70.
Conclusions
These results provide evidence of construct validity for PROPr using samples from the US general population.
Description
13 pages
Keywords
Citation
Hanmer J, Dewitt B, Yu L, Tsevat J, Roberts M, Revicki D, et al. (2018) Cross-sectional validation of the PROMIS-Preference scoring system. PLoS ONE 13(7): e0201093. https://doi. org/10.1371/journal.pone.0201093