Evidence map›Paper›PMID 25365171›Full record

ArticlePloS one2014

EQ-5D-3L derived population norms for health related quality of life in Sri Lanka.

Sanjeewa Kularatna, Jennifer A Whitty, Newell W Johnson, Ruwan Jayasinghe, Paul A Scuffham

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

  1. Trial
  2. Article
  3. Socio-demographic disparities in health-related quality of life in hypertensive patients in Bangladesh: a comprehensive survey analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Cancer population norms using a new value set for the SF-6Dv2 based on the preferences of patients with breast or colorectal cancer in Quebec.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
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  15. Health-Related Quality of Life and Its Determinants among Criminal Police Officers.International journal of environmental research and public health · 2019
    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

5 authors.

Sanjeewa KularatnaCentre for Applied Health Economics, School of Medicine, Griffith University, Brisbane, Queensland, Australia; Population and Social Health Research Programme, Griffith Health Institute, Griffith University, Brisbane, Queensland, Australia.
Jennifer A WhittyCentre for Applied Health Economics, School of Medicine, Griffith University, Brisbane, Queensland, Australia; Population and Social Health Research Programme, Griffith Health Institute, Griffith University, Brisbane, Queensland, Australia; School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia.
Newell W JohnsonPopulation and Social Health Research Programme, Griffith Health Institute, Griffith University, Brisbane, Queensland, Australia.
Ruwan JayasingheFaculty of Dental sciences, University of Peradeniya, Peradeniya, Sri Lanka.
Paul A ScuffhamCentre for Applied Health Economics, School of Medicine, Griffith University, Brisbane, Queensland, Australia; Population and Social Health Research Programme, Griffith Health Institute, Griffith University, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth Related Quality of Life (HRQoL) is an important outcome measure in health economic evaluation that guides health resource allocations. Population norms for HRQoL are an essential ingredient in health economics and in the evaluation of population health. The aim of this study was to produce EQ-5D-3L-derived population norms for Sri Lanka.

methodA population sample (n =  780) was selected from four districts of Sri Lanka. A stratified cluster sampling approach with probability proportionate to size was employed. Twenty six clusters of 30 participants each were selected; each participant completed the EQ-5D-3L in a face-to-face interview. Utility weights for their EQ-5D-3L health states were assigned using the Sri Lankan EQ-5D-3L algorithm. The population norms are reported by age and socio-economic variables.

resultsThe EQ-5D-3L was completed by 736 people, representing a 94% response rate. Sixty per cent of the sample reported being in full health. The percentage of people responding to any problems in the five EQ-5D-3L dimensions increased with age. The mean EQ-5D-3L weight was 0.85 (SD 0.008; 95%CI 0.84-0.87). The mean EQ-5D-3L weight was significantly associated with age, housing type, disease experience and religiosity. People above 70 years of age were 7.5 times more likely to report mobility problems and 3.7 times more likely to report pain/discomfort than those aged 18-29 years. Those with a tertiary education were five times less likely to report any HRQoL problems than those without a tertiary education. A person living in a shanty was 4.3 more likely to have problems in usual activities than a person living in a single house.

conclusionThe population norms in Sri Lanka vary with socio-demographic characteristics. The socioeconomically disadvantaged have a lower HRQoL. The trends of population norms observed in this lower middle income country were generally similar to those previously reported in high income countries.

Indexed as

Public Health SurveillanceQuality of LifeAdolescentAdultAgedAged, 80 and overAge FactorsEpidemiologic FactorsFemaleHealthHumansMaleMiddle AgedOdds RatioSex FactorsSri Lanka

Identifiers

PMID25365171
PMCPMC4217723

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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.