Evidence map›Paper›PMID 31034491›Full record

ArticlePloS one2019

EQ-5D-5L population norms and health inequalities for Trinidad and Tobago.

Henry Bailey, Mathieu F Janssen, Althea La Foucade, Paul Kind

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
16.4field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. EQ-5D-5L population norms for Singapore: a household survey-based analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. 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
  3. Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  4. Article
  5. Article
  6. The EQ-5D-5L valuation study for Trinidad and Tobago.Health and quality of life outcomes · 2024
    Article
  7. Article
  8. Canada population norms for the EQ-5D-5L.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  9. Normative profile of the EQ-5D-5L dimensions, EQ-5D-5L index and EQ-VAS scores for the general Thai population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  10. EQ-5D-5L Population Norms for Italy.Applied health economics and health policy · 2023
    Article
  11. Article
  12. Article
  13. Population Norms for SF-6Dv2 and EQ-5D-5L in China.Applied health economics and health policy · 2022
    Article
  14. Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  15. Article
  16. Reference data among general population and known-groups validity among hypertensive population of the EQ-5D-5L in Vietnam.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  17. Belgian population norms for the EQ-5D-5L, 2018.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  18. 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

4 authors at 3 institutions in 3 countries.

Henry BaileyArthur Lok Jack Global School of Business, The University of the West Indies, Mt. Hope, Trinidad and Tobago.ORCID 0000-0002-4479-9948
Mathieu F JanssenSection Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands.
Althea La FoucadeDepartment of Economics, The University of the West Indies, St. Augustine, Trinidad and Tobago.
Paul KindAcademic Unit of Health Economics, Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
University of the West Indies · TTErasmus MC · NLUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The EQ-5D instrument is now used in many health systems as a health outcomes measure. Recently an EQ-5D valuation study was conducted for Trinidad and Tobago, but thus far there have been no population norms published for Trinidad and Tobago or for any Caribbean country. The objective of this study is to provide a set of population norms, and to investigate inequalities in health in Trinidad and Tobago. The EQ-5D-5L questionnaire was included in the 2012/2013 Adult Population Survey of the Global Entrepreneurship Monitor for Trinidad and Tobago. This survey covered a representative sample of 2,036 adults aged 18 and over. Demographic data and self-reported health using EQ-5D-5L were collected. The Trinidad and Tobago value set was used to obtain EQ-5D index values. The Kakwani index and logistic regression models were used to evaluate inequalities in health. Mean EQ-5D index values and EQ-VAS values were calculated by age group, ethnicity, gender, income, educational attainment, employment status and place of residence. The 10 most commonly observed EQ-5D-5L states accounted for 90% of the respondents. The mean VAS value for the sample was 83.6 and the mean EQ-5D-5L index value was 0.95. Pain/discomfort was found to be the EQ-5D dimension with the highest prevalence of reported problems with 22% of the population reporting pain at any level. Self-care was the dimension with the lowest prevalence of problems reported at any level (3%). Health declines with increasing age, and men reported fewer problems and higher levels of self-reported health than women. Age, gender and education level were found to be important drivers of health status as measured by the EQ-5D instrument. Being in a very low income group was also observed to affect EQ-VAS values among younger respondents. The population norms provided in this study can be used by clinicians, academics and policy makers in several ways. They can be used in comparing different demographic groups or patient groups, or as a basis for tracking the progress of patients through a treatment regimen. They can also provide a baseline for cost utility analysis of health interventions for Trinidad and Tobago.

Indexed as

Health Status DisparitiesSurveys and QuestionnairesAdolescentAdultFemaleHumansMaleMiddle AgedOdds RatioTrinidad and TobagoVisual Analog Scale

Identifiers

PMID31034491
PMCPMC6488064
OpenAlexW2943646016

What OpenQuestion holds

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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.