Evidence map›Paper›PMID 26045697›Full record

ArticlePopulation health metrics2015

Should additional domains be added to the EQ-5D health-related quality of life instrument for community-based studies? An analytical descriptive study.

Jennifer Jelsma, Soraya Maart

Abstract read
In one paragraph

Article in Population health metrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Psychometric properties of the EQ-5D-5L: a systematic review of the literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Pooled it
  3. Trial
  4. Article
  5. Developing and testing a patient-reported outcome measure for patients with sleep disturbances using EQ-5D and condition-specific bolt-ons: a mixed method study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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  10. Extending the EQ-5D: the case for a complementary set of 4 psycho-social dimensions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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  11. Sensitivity of the EQ-5D-5L for fatigue and cognitive problems and their added value in Q-fever patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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  15. Does the EQ-5D-5L benefit from extension with a cognitive domain: Testing a multi-criteria psychometric strategy in trauma patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  16. 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
  17. The added value of the EQ-5D with a cognition dimension in injury patients with and without traumatic brain injury.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
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  18. 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

2 authors.

Jennifer JelsmaDivision of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, South Africa.
Soraya MaartDivision of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing interest in monitoring the health-related quality of life (HRQoL) of populations as opposed to clinical populations. The EQ-5D identifies five domains as being most able to capture the HRQoL construct. The question arises as to whether these domains are adequate within a community-based population or whether additional domains would add to the explanatory power of the instrument.

methodsAs part of a community-based survey, the responses of 310 informants who reported at least one problem in one domain filled in the EQ-5D three-level version and the WHOQOL-BREF (World Health Organization Quality of Life Scale - Abbreviated version). Using the EQ-5D visual analogue scale (VAS) of rating of health as a dependent variable, the five EQ-5D and four selected WHOQOL-BREF items were entered as dummy variables in multiple regression analysis.

resultsThe additional domains increased the explanatory power of the model from 52 % (EQ-5D only) to 57 % (all domains). The coefficients of Self-Care and Usual Activities were not significant in any model. The most parsimonious model included the EQ-5D domains of Mobility, Pain/Discomfort, Anxiety/Depression, Concentration, and Sleep (adjusted r(2) = .57).

conclusionsThe EQ-5D-3L performed well, but the addition of domains such as Concentration and Sleep increased the explanatory power. The user needs to weigh the advantage of using the EQ-5D, which allows for the calculation of a single summary index, against the use of a set of domains that are likely to be more responsive to differences in HRQoL within community living respondents. The poor predictive power of the Self-Care and Usual Activities domains within this context needs to be further examined.

Indexed as

Community surveyEQ-5D-3LFunctional domainsHealth related quality of lifeWHOQOL-BREF

Identifiers

PMID26045697
PMCPMC4455977

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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.