Evidence map›Paper›PMID 25543271›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015

Valuing EQ-5D health states for Sri Lanka.

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

Abstract read
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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
  5. Article
  6. Developing an Australian utility value set for MacNew-7D health states.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  7. Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  8. Article
  9. Valuation of the EQ-5D-3L in Russia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  10. Observational
  11. Article
  12. Comparison of the EQ-5D-3L and the SF-6D (SF-12) contemporaneous utility scores in patients with cardiovascular disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  13. 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

5 authors.

Sanjeewa KularatnaCentre for Applied Health Economics, School of Medicine, Logan Campus, Griffith University, University Drive, Meadowbrook, Brisbane, QLD, 4131, Australia, s.kularatna@griffith.edu.au.
Jennifer A Whitty
Newell W Johnson
Ruwan Jayasinghe
Paul A Scuffham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to derive an algorithm to estimate utility values for the EQ-5D-3L health states based on the preferences of a population sample from Sri Lanka.

methodsThe time trade-off method was used to directly value 198 EQ-5D-3L health states in a general population sample (n = 780) from Sri Lanka. Stratified cluster sampling with random selection within clusters was used to select the sample from four districts. Each participant valued 15 health states via face-to-face interviews. The best fit model was selected using consistency, parsimony, and goodness of fit. Based on logical inconsistency, numerous sub-samples were also used for model specification. For each model, the numbers of illogical orderings in the resulting value set were also examined.

resultsGeneralised least squares with random effects were found to be the best specification. The sub-sample consisting of participants with less than seven logical inconsistent observations produced no illogical ordering in the final value set and is considered the preferred model. Compared to value sets in other countries, a high disutility is associated with level 3 deficits in the mobility dimension. More than 50 % of health states in the Sri Lankan value set are deemed worse than death health states.

conclusionsSri Lankan utility values for EQ-5D-3L states deviate markedly from existing values for upper middle and high-income countries. It is important to have country-specific utility values to conduct cost-utility analysis.

Indexed as

Health StatusQuality of LifeAdolescentAdultAgedAged, 80 and overAlgorithmsFemaleHumansMaleMiddle AgedSri LankaSurveys and QuestionnairesYoung Adult

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.