Evidence map›Paper›PMID 32197733›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Computing PROPr Utility Scores for PROMIS® Profile Instruments.

Barry Dewitt, Hawre Jalal, Janel Hanmer

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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  10. Gait as a quantitative indicator of the severity of chemotherapy-induced peripheral neuropathy: a pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  11. Content analysis of PROMIS physical function banks using the international classification of functioning, disability and health.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  12. Mapping and Linking between the EQ-5D-5L and the PROMIS Domains in the United States.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  13. Article
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  18. Converting PROMISHealth and quality of life outcomes · 2024
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Barry DewittDepartment of Engineering & Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address: barrydewitt@cmu.edu.
Hawre JalalDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Janel HanmerDivision of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
NCATS NIH HHS KL2 TR001856
6 · The paper itself

Abstract

objectivesThe Patient-Reported Outcomes Measurement Information System® (PROMIS) Profile instruments measure health status on 8 PROMIS domains. The PROMIS-Preference (PROPr) score provides a preference-based summary score for health states defined by 7 PROMIS domains. The Profile and PROPr share 6 domains; PROPr has 1 unique domain (Cognitive Function-Abilities), and the Profile has 2 unique domains (Anxiety and Pain Intensity). We produce an equation for calculating PROPr utility scores with Profile data.

methodsWe used data from 3982 members of US online survey panels who have scores on all 9 PROMIS domains. We used a 70%/30% split for model fit/validation. Using root-mean-square error and mean error on the utility scale, we compared models for predicting the missing Cognitive Function score via (A) the population average; (B) a score representing excellent cognitive function; (C) a score representing poor cognitive function; (D) a score predicted from linear regression of the 8 profile domains; and (E) a score predicted from a Bayesian neural network of the 8 profile domains.

resultsThe mean errors in the validation sample on the PROPr scale (which ranges from -0.022 to 1.00) for the models were: (A) 0.025, (B) 0.067, (C) -0.23, (D) 0.018, and (E) 0.018. The root-mean-square errors were: (A) 0.097, (B) 0.12, (C) 0.29, (D) 0.095, and (E) 0.094.

conclusionAlthough the Bayesian neural network had the best root-mean-square error for producing PROPr utility scores from Profile instruments, linear regression performs almost as well and is easier to use. We recommend the linear model for producing PROPr utility scores for PROMIS Profiles.

Indexed as

Health StatusHealth Status IndicatorsPatient Reported Outcome MeasuresActivities of Daily LivingAdolescentAdultAgedAged, 80 and overAnxietyBayes TheoremCognitionFemaleHumansMaleMental HealthMiddle Agedhealth utilitypatient-reported outcomesPROMISPROPr

Identifiers

PMID32197733
PMCPMC7269185

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.