Evidence map›Paper›PMID 19011721›Full record

Trial reportSocial psychiatry and psychiatric epidemiology2009

Putting the 'Q' in depression QALYs: a comparison of utility measurement using EQ-5D and SF-6D health related quality of life measures.

Rachel Mann, Simon Gilbody, David Richards

Abstract readComparative StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Social psychiatry and psychiatric epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. End-of-Life Care Interventions: An Economic Analysis.Ontario health technology assessment series · 2014
    Review
  16. Comparison of three societally derived health-state classification values among older African Americans with depressive symptoms.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2013
    Article
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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

3 authors.

Rachel MannDept. of Health Sciences, University of York, York, YO10 5DD, UK. rcm504@york.ac.uk
Simon Gilbody
David Richards

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundGeneric health preference measures that capture quality of life improvements in depression are important for economic analysis of new technologies.

aimTo compare two widely used preference measures, the EQ-5D and SF-6D, in terms of their dimensions and health utility values.

methodEQ-5D and SF-6D data collected from 114 patients with depression, who participated in a cluster, randomised controlled trial to evaluate a collaborative care intervention in UK, primary care practices. Utilities were examined across the whole sample and by level of depression severity using the PHQ-9.

resultsDepression was associated with disutility at baseline. At 3 month follow-up mean utility increased 0.147 for EQ-5D and 0.082 for SF-6D. Health gains were observed in patients in remission from depression and those with the mildest level of depression severity.

conclusionsBoth generic preference measures were sensitive to health gains in depression within a relatively short follow-up period; larger health gain was observed for the EQ-5D.

Indexed as

Health StatusQuality-Adjusted Life YearsAdolescentAdultAgedCost-Benefit AnalysisDiagnostic and Statistical Manual of Mental DisordersFemaleFollow-Up StudiesHumansMajor Depressive DisorderMaleMiddle AgedPrimary Health CarePsychiatric Status Rating ScalesQuality of Life

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.