Evidence map›Paper›PMID 41675435›Full record

ArticleInternational journal of population data science2025

Leveraging census data to design and implement an area-based deprivation index to assess health inequalities in Ecuador.

Diego Andrade Ortiz, Ruth Dundas, Jonathan R Olsen, Irina Chis Ster, SEDHI project

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Article in International journal of population data science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Diego Andrade OrtizSchool of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Ruth DundasSchool of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Jonathan R OlsenSchool of Health and Wellbeing, University of Glasgow, Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB, UK.
Irina Chis SterInstitute of Infection and Immunity, City St. George's University of London, Office: 2.028A, Jenner Wing, Cranmer Terrace, London, SW17 ORE, UK.
SEDHI project

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Deprivation measures have been used in research to assess within-country health inequalities globally. Most of these indices are created using data from national census, given their availability and nationwide coverage. Objectives: This study aims to create a census-based deprivation index in Ecuador, the Ecuadorian Deprivation Index (EDI), that reflects the country specific context using national census data for four geographical units (census sector, parish, canton and province). It will be compared to two traditional small area indices (Townsend and Carstairs) to assess the most appropriate and context specific index for Ecuador. Finally, the performance of the three indices will be assessed by examining the association and extent of inequalities with teenage pregnancy as this has been shown to be socially patterned in other countries. Methods: This study uses the 2010 Ecuadorian census and follows the stages and recommendations for developing small-area deprivation indices. The Townsend and Carstairs are firstly replicated. For the EDI, Principal Component Analysis is used to select the most appropriate indicators. Summary measures for higher-level geographical areas were developed following the techniques used in the English Index of Multiple Deprivation. Inequalities in teenage pregnancy is measured using the Slope index of inequality and the Relative index of inequality. Results: The three indices exhibit a good match in urban areas and can describe pattern of inequalities in teenage pregnancy. However, the EDI Index captures rural deprivation more appropriately and that includes the Coast and Amazon geographical regions. Conclusions: Traditional deprivation measures may not adequately identify deprivation in Ecuador, given the country's unique specific contextual factors. The wider scope of the EDI will inform policy-makers towards developing tailored programs to alleviate deprivation and health inequalities in Ecuador.

Indexed as

CensusesHealth Status DisparitiesAdolescentEcuadorFemaleHumansPregnancyPregnancy in AdolescenceSocioeconomic Disparities in HealthSocioeconomic Factorsdeprivationdeprivation indexEcuadorhealth inequalitiesprincipal component analysis (PCA)ruralurban

Identifiers

PMID41675435
PMCPMC12887634

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