Cross-sectional validation of the PROMIS-Preference scoring system

Janel Hanmer*, Barry Dewitt, Lan Yu, Joel Tsevat, Mark Roberts, Dennis Revicki, Paul A. Pilkonis, Rachel Hess, Ron D. Hays, Baruch Fischhoff, David Feeny, David Condon, David Cella

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

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.

Original languageEnglish (US)
Article numbere0201093
JournalPloS one
Volume13
Issue number7
DOIs
StatePublished - Jul 2018

Funding

Janel Hanmer was supported by the National Institutes of Health through Grant Number KL2 TR001856. Data collection was supported by the National Institutes of Health through Grant Number UL1TR000005. Barry Dewitt was partially supported by a Social Sciences and Humanities Research Council of Canada Doctoral Fellowship. David Cella, Ron D. Hays, Paul A. Pilkonis, and Dennis A. Revicki were supported by a grant from the National Cancer Institute Number 1U2C-CA186878-01 and a supplement to the PROMIS statistical center grant Number 3U54AR057951-04S4. Baruch Fischhoff was partially supported by the Swedish Foundation for the Humanities and Social Sciences. The funding agreements ensured the authors’ independence in designing the study, interpreting the data, writing, and publishing the report. Evidera, Inc provided support in the form of salary for Dennis Revicki, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.

ASJC Scopus subject areas

  • General

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