Cross-sectional validation of the PROMIS-Preference scoring system

57Citations
Citations of this article
52Readers
Mendeley users who have this article in their library.

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.

References Powered by Scopus

Measuring Health: A guide to rating scales and questionnaires

3852Citations
N/AReaders
Get full text

The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008

3699Citations
N/AReaders
Get full text

Linking Clinical Variables With Health-Related Quality of Life: A Conceptual Model of Patient Outcomes

3024Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Health-Related Quality of Life Measurement in Public Health

123Citations
N/AReaders
Get full text

Computing PROPr Utility Scores for PROMIS® Profile Instruments

42Citations
N/AReaders
Get full text

Association between Food Insecurity and Health-Related Quality of Life: a Nationally Representative Survey

32Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hanmer, J., Dewitt, B., Yu, L., Tsevat, J., Roberts, M., Revicki, D., … Cella, D. (2018). Cross-sectional validation of the PROMIS-Preference scoring system. PLoS ONE, 13(7). https://doi.org/10.1371/journal.pone.0201093

Readers over time

‘18‘19‘20‘21‘22‘23‘240481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 12

41%

Researcher 11

38%

Professor / Associate Prof. 5

17%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Medicine and Dentistry 12

52%

Nursing and Health Professions 5

22%

Social Sciences 4

17%

Pharmacology, Toxicology and Pharmaceut... 2

9%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0