Evidence map›Paper›PMID 25344269›Full record

ArticleHealth and quality of life outcomes2014

How is the most severe health state being valued by the general population?

Mihir Gandhi, Julian Thumboo, Hwee-Lin Wee, Nan Luo, Yin-Bun Cheung

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. A vision 'bolt-on' increases the responsiveness of EQ-5D: preliminary evidence from a study of cataract surgery.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    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.

Mihir GandhiCentre for Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore. mihir.gandhi@scri.edu.sg.
Julian ThumbooDepartment of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore. julian.thumboo@sgh.com.sg.
Hwee-Lin WeeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore. phawhl@nus.edu.sg.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. ephln@nus.edu.sg.
Yin-Bun CheungCentre for Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore. yinbun.cheung@duke-nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that valuation of health states that are close to death, such as the most severe health state, can be affected by health state valuation procedure, and their utility values are difficult to predict. We examined how the most severe health states of Short Form-6 dimension (SF-6D) and EuroQoL-5 dimension-3 level (EQ-5D-3L) were valued by the Singapore general population.

methodsOverall, 249 SF-6D and 42 EQ-5D-3L states were valued by two separate samples from the Singapore general population using the visual analogue scale (VAS) method. Ordinary least-square regression model was employed to explain deficit in the valuation of the most severe state using the health state descriptors.

resultsA total of 1021 participants from the SF-6D sample and 1015 participants from the EQ-5D-3L sample were included in the analysis. We observed that 67% of the SF-6D participants and 74% of the EQ-5D-3L participants considered the most severe state worse than dead. The most severe state had mean VAS valuation scores more than 20-25 points lower than the adjacent states that are better by only one level in only one dimension. SF-6D VAS valuation score for the most severe state was 27 points and 12 points lower than expected according to the health state descriptors among the participants who considered the most severe state worse than dead and better than dead, respectively. Similar results were found for the EQ-5D-3L valuation.

conclusionsThe most severe health state was valued lower than expected according to its descriptors.

Indexed as

Health Status IndicatorsQuality of LifeVisual Analog ScaleAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychological DistanceReproducibility of ResultsSingaporeTerminally Ill

Identifiers

PMID25344269
PMCPMC4212106

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