ArticleApplied health economics and health policy2022
Evaluating Health Inequality in Five Caribbean Basin Countries Using EQ-5D-5L.
Article in Applied health economics and health policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Article
- The EQ-5D-3L valuation study for Bermuda: using an on-line EQ-VT protocol.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Income inequality and multimorbidity patterns in China: a micro-level analysis using CHARLS.Frontiers in public health · 2025Article
- EQ-5D-5L population norms and health inequality for Trinidad and Tobago in 2022-2023 and comparison with 2012.Health and quality of life outcomes · 2024Article
- The EQ-5D-5L valuation study for Trinidad and Tobago.Health and quality of life outcomes · 2024Article
- Both religious and secular ethics to achieve both happiness and health: Panel data results based on a dynamic theoretical model.PloS one · 2024Article
- Socio-demographic indicators of self-reported health based on EQ-5D-3L: A cross-country analysis of population surveys from 18 countries.Frontiers in public health · 2022Article
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9 authors.
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Abstract
backgroundEQ-5D-5L is a standardized health outcomes instrument that can be added to national surveys to measure inequality in health outcomes. The aim of this study was to produce baseline values of health inequality using EQ-5D-5L for five countries in the Caribbean Basin region based on national surveys in 2012-2014.
methodsThe EQ-5D-5L questionnaire was included in adult population surveys of Barbados, Belize, Colombia, Jamaica and Trinidad and Tobago. EQ-5D-5L measures were calculated for demographic groups using stratifiers from the World Health Organization's PROGRESS-Plus framework, and generalized linear models were used to test for association between EQ-5D-5L and the PROGRESS-Plus variables. Ordered logit models were used to obtain odds ratios for the effect of the PROGRESS-Plus variables on reporting problems on the EQ-5D-5L dimensions. The Kakwani index was calculated for each country.
resultsData were obtained for representative samples in each country, giving a combined total of 11,284 respondents. Different patterns of inequality were observed among the five countries. The biggest drivers of inequality were age and gender, and the biggest EQ-5D factors were self-care in Belize and pain/discomfort in the other four countries.
conclusionThis study demonstrated that the EQ-5D-5L instrument can easily be added to national surveys. Inequality measures from this study can be used as baseline values for comparisons with future similar surveys in these five countries to infer changes in health inequality as measured by EQ-5D outcomes. These can be used to track the performance of policy initiatives aimed at specific demographic groups.
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