Evidence map›Paper›PMID 30352071›Full record

ArticlePloS one2018

What utility scores do mental health service users, healthcare professionals and members of the general public attribute to different health states? A co-produced mixed methods online survey.

Chris Flood, Sally Barlow, Alan Simpson, Amanda Burls, Amy Price, Martin Cartwright, Stefano Brini, Service User and Carer Group Advising on Research (SUGAR) members

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Time trade-off health state utility values for depression: a systematic review and meta-analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Pooled it
  2. Article
  3. Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    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

8 authors.

Chris FloodCentre for Mental Health Research, School of Health Sciences, University of London, London and East London NHS Foundation Trust, London, United Kingdom.ORCID 0000-0001-5170-7792
Sally BarlowCentre for Mental Health Research, School of Health Sciences, University of London, London and East London NHS Foundation Trust, London, United Kingdom.
Alan SimpsonCentre for Mental Health Research, School of Health Sciences, University of London, London and East London NHS Foundation Trust, London, United Kingdom.
Amanda BurlsCentre for Health Services Research, School of Health Sciences, University of London, London, United Kingdom.
Amy PriceDepartment of Continuing Education, University of Oxford, Oxford, United Kingdom.
Martin CartwrightCentre for Health Services Research, School of Health Sciences, University of London, London, United Kingdom.ORCID 0000-0002-3404-5659
Stefano BriniCentre for Health Services Research, School of Health Sciences, University of London, London, United Kingdom.ORCID 0000-0002-1909-1796
Service User and Carer Group Advising on Research (SUGAR) members

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUtility scores are integral to health economics decision-making. Typically, utility scores have not been scored or developed with mental health service users. The aims of this study were to i) collaborate with service users to develop descriptions of five mental health states (psychosis, depression, eating disorder, medication side effects and self-harm); ii) explore feasibility and acceptability of using scenario-based health states in an e-survey; iii) evaluate which utility measures (standard gamble (SG), time trade off (TTO) and rating scale (RS)) are preferred; and iv) determine how different participant groups discriminate between the health scenarios and rank them. DESIGN AND

methodsThis was a co-produced mixed methods cross-sectional online survey. Utility scores were generated using the SG, TTO and RS methods; difficulty of the completing each method, markers of acceptability and participants' preference were also assessed.

resultsA total of 119 participants (58%) fully completed the survey. For any given health state, SG consistently generated higher utility scores compared to RS and for some health states higher also than TTO (i.e. SG produces inflated utility scores relative to RS and TTO). Results suggest that different utility measures produce different evaluations of described health states. The TTO was preferred by all participant groups over the SG. The three participant groups scored four (of five) health scenarios comparably. Psychosis scored as the worst health state to live with while medication side-effects were viewed more positively than other scenarios (depression, eating disorders, self-harm) by all participant groups. However, there was a difference in how the depression scenario was scored, with service users giving depression a lower utility score compared to other groups.

conclusionMental health state scenarios used to generate utility scores can be co-produced and are well received by a broad range of participants. Utility valuations using SG, TTO and RS were feasible for use with service users, carers, healthcare professionals and members of the general public. Future studies of utility scores in psychiatry should aim to include mental health service users as both co-investigators and respondents.

Indexed as

Decision MakingDecision Support TechniquesPsychiatric Status Rating ScalesAdultAgedCaregiversCost-Benefit AnalysisCross-Sectional StudiesDepressionFeasibility StudiesFeeding and Eating DisordersFemaleHealth PersonnelHumansMaleMental Health Services

Identifiers

PMID30352071
PMCPMC6198969

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.