Evidence map›Paper›PMID 27644755›Full record

ArticleHealth and quality of life outcomes2016

Health-related quality of life measured using the EQ-5D-5L: South Australian population norms.

Nikki McCaffrey, Billingsley Kaambwa, David C Currow, Julie Ratcliffe

Abstract readComparative Study
In one paragraph

Article in Health and quality of life outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 237 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
237citing papers in PubMed, 4 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

237 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Measurement properties of utility-based health-related quality of life measures in cardiac rehabilitation and secondary prevention programs: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
  2. Health-related quality of life in Parkinson's disease: systematic review and meta-analysis of EuroQol (EQ-5D) utility scores.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
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  4. 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
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  20. Population norms for the EQ-5D-3L and EQ-5D-5L in Peninsular Malaysia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article

177 more citing papers are in PubMed but not listed here.

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

4 authors.

Nikki McCaffreyFlinders Health Economics Group, Flinders University, Repatriation General Hospital, Rm 55, Level 1, Block A, Repatriation General Hospital, Daws Road, Daw Park, SA, 5041, Australia. nicola.mccaffrey@flinders.edu.au.ORCID http://orcid.org/0000-0003-3684-3723
Billingsley KaambwaFlinders Health Economics Group, Flinders University, Repatriation General Hospital, Rm 55, Level 1, Block A, Repatriation General Hospital, Daws Road, Daw Park, SA, 5041, Australia.
David C CurrowPalliative and Supportive Care, Bedford Park, Flinders University, Bedford Park, SA, 5042, Australia.
Julie RatcliffeFlinders Health Economics Group, Flinders University, Repatriation General Hospital, Rm 55, Level 1, Block A, Repatriation General Hospital, Daws Road, Daw Park, SA, 5041, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough a five level version of the widely-used EuroQol 5 dimensions (EQ-5D) instrument has been developed, population norms are not yet available for Australia to inform the future valuation of health in economic evaluations. The aim of this study was to estimate HrQOL normative values for the EQ-5D-5L preference-based measure in a large, randomly selected, community sample in South Australia.

methodsThe EQ-5D-5L instrument was included in the 2013 South Australian Health Omnibus Survey, an interviewer-administered, face-to-face, cross-sectional survey. Respondents rated their level of impairment across dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and global health rating on a visual analogue scale (EQ-VAS). Utility scores were derived using the newly-developed UK general population-based algorithm and relationships between utility and EQ-VAS scores and socio-demographic factors were also explored using multivariate regression analyses.

resultsUltimately, 2,908 adults participated in the survey (63.4 % participation rate). The mean utility and EQ-VAS scores were 0.91 (95 CI 0.90, 0.91) and 78.55 (95 % CI 77.95, 79.15), respectively. Almost half of respondents reported no problems across all dimensions (42.8 %), whereas only 7.2 % rated their health >90 on the EQ-VAS (100 = the best health you can imagine). Younger age, male gender, longer duration of education, higher annual household income, employment and marriage/de facto relationships were all independent, statistically significant predictors of better health status (p < 0.01) measured with the EQ-VAS. Only age and employment status were associated with higher utility scores, indicating fundamental differences between these measures of health status.

conclusionsThis is the first Australian study to apply the EQ-5D-5L in a large, community sample. Overall, findings are consistent with EQ-5D-5L utility and VAS scores reported for other countries and indicate that the majority of South Australian adults report themselves in full health. When valuing health in Australian economic evaluations, the utility population norms can be used to estimate HrQOL. More generally, the EQ-VAS score may be a better measure of population health given the smaller ceiling effect and broader coverage of HrQOL dimensions. Further research is recommended to update EQ-5D-5L population norms using the Australian general population specific scoring algorithm once this becomes publically available.

Indexed as

Health StatusQuality of LifeAdultAgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPsychometricsSex FactorsSocioeconomic FactorsSouth AustraliaEQ-5DPopulation normsQuality of lifeUtility

Identifiers

PMID27644755
PMCPMC5028927

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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.