Evidence map›Paper›PMID 18625052›Full record

ArticleHealth and quality of life outcomes2008

Do estimates of cost-utility based on the EQ-5D differ from those based on the mapping of utility scores?

Garry R Barton, Tracey H Sach, Claire Jenkinson, Anthony J Avery, Michael Doherty, Kenneth R Muir

Abstract readComparative StudyControlled Clinical Trial
In one paragraph

Article in Health and quality of life outcomes, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. How to Assess Health Gains.Healthcare (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. A brief introduction to health economics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2019
    Article
  11. Testing alternative regression models to predict utilities: mapping the QLQ-C30 onto the EQ-5D-5L and the SF-6D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  12. Article
  13. Article
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  16. Mapping chronic liver disease questionnaire scores onto SF-6D utility values in patients with primary sclerosing cholangitis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  17. Mapping the disease-specific LupusQoL to the SF-6D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  18. The potential for a generally applicable mapping model between QLQ-C30 and SF-6D in patients with different cancers: a comparison of regression-based methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  19. Article
  20. Using WOMAC Index scores and personal characteristics to estimate Assessment of Quality of Life utility scores in people with hip and knee joint disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    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

6 authors.

Garry R BartonHealth Economics Group, School of Medicine, Health Policy and Practice, University of East Anglia, Norwich, UK. g.barton@uea.ac.uk
Tracey H Sach
Claire Jenkinson
Anthony J Avery
Michael Doherty
Kenneth R Muir

Funding

Arthritis Research UK
6 · The paper itself

Abstract

backgroundMapping has been used to convert scores from condition-specific measures into utility scores, and to produce estimates of cost-effectiveness. We sought to compare the QALY gains, and incremental cost per QALY estimates, predicted on the basis of mapping to those based on actual EQ-5D scores.

methodsIn order to compare 4 different interventions 389 individuals were asked to complete both the EQ-5D and the Western Ontartio and McMaster Universities Osteoarthritis Index (WOMAC) at baseline, 6, 12, and 24 months post-intervention. Using baseline data various mapping models were developed, where WOMAC scores were used to predict the EQ-5D scores. The performance of these models was tested by predicting the EQ-5D post-intervention scores. The preferred model (that with the lowest mean absolute error (MAE)) was used to predict the EQ-5D scores, at all time points, for individuals who had complete WOMAC and EQ-5D data. The mean QALY gain associated with each intervention was calculated, using both actual and predicted EQ-5D scores. These QALY gains, along with previously estimated changes in cost, were also used to estimate the actual and predicted incremental cost per QALY associated with each of the four interventions.

resultsThe EQ-5D and the WOMAC were completed at baseline by 348 individuals, and at all time points by 259 individuals. The MAE in the preferred model was 0.129, and the mean QALY gains for each of the four interventions was predicted to be 0.006, 0.058, 0.058, and 0.136 respectively, compared to the actual mean QALY gains of 0.087, 0.081, 0.120, and 0.149. The most effective intervention was estimated to be associated with an incremental cost per QALY of pound6,068, according to our preferred model, compared to pound13,154 when actual data was used.

conclusionWe found that actual QALY gains, and incremental cost per QALY estimates, differed from those predicted on the basis of mapping. This suggests that though mapping may be of value in predicting the cost-effectiveness of interventions which have not been evaluated using a utility measure, future studies should be encouraged to include a method of actual utility measurement.

trial registrationCurrent Controlled Trials ISRCTN93206785.

Indexed as

PsychometricsQuality-Adjusted Life YearsSurveys and QuestionnairesCosts and Cost AnalysisDietExercise TherapyHumansLinear ModelsOntarioOsteoarthritisOutcome Assessment, Health CarePatient Education as TopicPredictive Value of Tests

Identifiers

PMID18625052
PMCPMC2490675

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.