Evidence map›Paper›PMID 36060298›Full record

ArticleWellcome open research2022

The Online Elicitation of Personal Utility Functions (OPUF) tool: a new method for valuing health states.

Paul P Schneider, Ben van Hout, Marike Heisen, John Brazier, Nancy Devlin

Abstract read
In one paragraph

Article in Wellcome open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Derivation of a South African tariff for the EQ-5D-5L using a personal utility function approach.International journal of technology assessment in health care · 2025
    Article
  5. Developing a patient-based utility value set for the EORTC QLU-C10D using the OPUF method in Chinese cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  6. Test-retest reliability of the Online Elicitation of Personal Utility Functions (OPUF) approach for valuing the EQ-HWB-S.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Valuing EQ-5D-Y: the current state of play.Health and quality of life outcomes · 2022
    Article
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

5 authors.

Paul P SchneiderSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0003-3552-1087
Ben van HoutSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Marike HeisenOpen Health, Rotterdam, The Netherlands.
John BrazierSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Nancy DevlinSchool of Population and Global Health, University of Melbourne, Melbourne, Australia.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction Standard valuation methods, such as TTO and DCE are inefficient. They require data from hundreds if not thousands of participants to generate value sets. Here, we present the Online elicitation of Personal Utility Functions (OPUF) tool; a new type of online survey for valuing EQ-5D-5L health states using more efficient, compositional elicitation methods, which even allow estimating value sets on the individual level. The aims of this study are to report on the development of the tool, and to test the feasibility of using it to obtain individual-level value sets for the EQ-5D-5L. Methods We applied an iterative design approach to adapt the PUF method, previously developed by Devlin et al., for use as a standalone online tool. Five rounds of qualitative interviews, and one quantitative pre-pilot were conducted to get feedback on the different tasks. After each round, the tool was refined and re-evaluated. The final version was piloted in a sample of 50 participants from the UK. A demo of the EQ-5D-5L OPUF survey is available at: https://eq5d5l.me Results On average, it took participants about seven minutes to complete the OPUF Tool. Based on the responses, we were able to construct a personal EQ-5D-5L value set for each of the 50 participants. These value sets predicted a participants' choices in a discrete choice experiment with an accuracy of 80%. Overall, the results revealed that health state preferences vary considerably on the individual-level. Nevertheless, we were able to estimate a group-level value set for all 50 participants with reasonable precision. Discussion We successfully piloted the OPUF Tool and showed that it can be used to derive a group-level as well as personal value sets for the EQ-5D-5L. Although the development of the online tool is still in an early stage, there are multiple potential avenues for further research.

Indexed as

EQ-5DHealth valuationmulti-attribute value theorymulti-criteria decision analysisonline surveypersonal utility functionpreference elicitationstated preferences

Identifiers

PMID36060298
PMCPMC9396078

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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.