Evidence map›Paper›PMID 27608769›Full record

ArticleHealth and quality of life outcomes2016

Where's WALY? : A proof of concept study of the 'wellbeing adjusted life year' using secondary analysis of cross-sectional survey data.

Rebecca Johnson, David Jenkinson, Chris Stinton, Sian Taylor-Phillips, Jason Madan, Sarah Stewart-Brown, Aileen Clarke

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  3. The value of health and well-being from a societal perspective: A willingness to pay experiment in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

7 authors.

Rebecca JohnsonDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
David JenkinsonDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
Chris StintonDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
Sian Taylor-PhillipsDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
Jason MadanDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
Sarah Stewart-BrownDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK.
Aileen ClarkeDivision of Health SciencesWarwick Medical School, University of Warwick Coventry, Coventry, CV4 7AL, UK. Aileen.Clarke@warwick.ac.uk.

Funding

Department of Health WMCLAHRC-2014-1
6 · The paper itself

Abstract

backgroundThe Quality-Adjusted Life Year (QALY) is a measure that combines life extension and health improvement in a single score, reflecting preferences around different types of health gain. It can therefore be used to inform decision-making around allocation of health care resources to mutually exclusive options that would produce qualitatively different health benefits. A number of quality-of-life instruments can be used to calculate QALYs. The EQ-5D is one of the most commonly used, and is the preferred option for submissions to NICE ( https://www.nice.org.uk/process/pmg9/ ). However, it has limitations that might make it unsuitable for use in areas such as public and mental health where interventions may aim to improve well-being. One alternative to the QALY is a Wellbeing-Adjusted Life Year. In this study we explore the need for a Wellbeing-Adjusted Life Year measure by examining the extent to which a measure of wellbeing (the Warwick-Edinburgh Mental Well-being Scale) maps onto the EQ-5D-3L.

methodsSecondary analyses were conducted on data from the Coventry Household Survey in which 7469 participants completed the EQ-5D-3L, Warwick-Edinburgh Mental Well-being Scale, and a measure of self-rated health. Data were analysed using descriptive statistics, Pearson's and Spearman's correlations, linear regression, and receiver operating characteristic curves.

resultsApproximately 75 % of participants scored the maximum on the EQ-5D-3L. Those with maximum EQ-5D-3L scores reported a wide range of levels of mental wellbeing. Both the Warwick-Edinburgh Mental Well-being Scale and the EQ-5D-3L were able to detect differences between those with higher and lower levels of self-reported health. Linear regression indicated that scores on the Warwick-Edinburgh Mental Well-being Scale and the EQ-5D-3L were weakly, positively correlated (with R(2) being 0.104 for the index and 0.141 for the visual analogue scale).

conclusionThe Warwick-Edinburgh Mental Well-being Scale maps onto the EQ-5D-3L to only a limited extent. Levels of mental wellbeing varied greatly amongst participants who had the maximum score on the EQ-5D-3L. To evaluate the relative effectiveness of interventions that impact on mental wellbeing, a new measure - a Wellbeing Adjusted Life Year - is needed.

Indexed as

Mental HealthQuality-Adjusted Life YearsAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC CurveSelf ReportSurveys and QuestionnairesVisual Analog ScaleYoung AdultEQ-5DWALYWellbeingWEMWBS

Identifiers

PMID27608769
PMCPMC5016960

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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.