Evidence map›Paper›PMID 24034630›Full record

ArticleHealth and quality of life outcomes2013

Does the correspondence between EQ-5D health state description and VAS score vary by medical condition?

David K Whynes

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Health-related quality of life as measured by the EQ-5D in the prevention, screening and management of cervical disease: A systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Pooled it
  2. Trial
  3. Exploring the origin and conceptual framework of the EQ VAS.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Review
  4. Article
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  10. Health-related quality of life in injury patients: the added value of extending the EQ-5D-3L with a cognitive dimension.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  11. Article
  12. Exploration of a cultural-adaptation of the EQ-5D for Thai population: A "bolt-on" experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  13. Lifestyle-related attitudes: do they explain self-rated health and life-satisfaction?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  14. Observational
  15. Article
  16. Assessment of the Swedish EQ-5D experience-based value sets in a total hip replacement population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    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

1 author.

David K WhynesSchool of Economics, University of Nottingham, Nottingham NG7 2RD, UK. david.whynes@nottingham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe EQ-5D health-related quality of life instrument comprises a health state classification (health problems by severity in five domains), followed by an evaluation using a visual analogue scale (VAS). Despite the EQ-5D's use in health technology assessment and as a patient-reported outcome measure (PROM), the correspondence between the two parts of the instrument remains ill-understood. In this paper, we consider whether the association between health state classification and VAS score might vary by medical condition.

methodsEQ-5D data collected for studies of patients in four different clinical conditions or circumstances (stroke, low back pain, colposcopic investigation or cytological surveillance) were pooled to generate a sample of 3,851 patient records. VAS scores were regressed on reported problem severities, with the inclusion of intercept and slope dummy variables specific to condition.

resultsThe regression model achieved a goodness-of-fit of 0.54. Given its structure and the significance of the coefficients, the proportion of VAS scores which differed by condition for the same health state varied between 33.3 and 88.5 per cent of possible states.

conclusionsMany of the patients with different medical conditions or in receipt of different interventions recorded different VAS valuations, in spite of ostensibly being in the same EQ-5D-defined health states. By implication, it is probable that the same state-to-state change would by valued differently by patients experiencing different conditions.

Indexed as

Health StatusQuality of LifeSelf ReportVisual Analog ScaleAdultAgedAged, 80 and overChronic DiseaseConfidence IntervalsFemaleHumansMaleMedical RecordsMiddle AgedPain MeasurementRegression Analysis

Identifiers

PMID24034630
PMCPMC3847274

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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.