Evidence map›Paper›PMID 41491766›Full record

ArticleHealth economics review2026

An economic analysis of the impact of education on health behaviours and health outcomes in South Africa: a case of Amathole District Municipality and Buffalo City Metropolitan Municipality.

Besuthu Hlafa, Asrat Tsegaye, Matt Dickson, Dumisani Macdonald Hompashe

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Article in Health economics review, 2026. 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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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

4 authors.

Besuthu HlafaEconomics, University of Fort Hare, 1 King Williams Town Rd, Eastern Cape, Alice, 5700, South Africa. hlafab@tut.ac.za.
Asrat Tsegaye *Economics, University of Fort Hare, 1 King Williams Town Rd, Eastern Cape, Alice, 5700, South Africa.
Matt Dickson *Institute for Policy Research, Bath University, Claverton, Bath, Somerset, BA2 7AY, England.
Dumisani Macdonald Hompashe *Economics, University of Fort Hare, 1 King Williams Town Rd, Eastern Cape, Alice, 5700, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current study investigates the economic impact of education on health behaviour and health outcomes, specifically targeting the Raymond Mhlaba and Buffalo City municipalities in the Eastern Cape region, South Africa.

methodsThe study employs and modifies the National Income Dynamic Study (NIDS) data by combining all five waves to create a panel data. The study investigates an analytical objective which explored the relationship between education, health behaviours and health outcomes. This objective is addressed using a multivariate regression analysis (multinomial logistic regression) which offers the advantage of the ability to handle categorical outcomes with more than two categories. The current study uses marginal effects (dy/dx) to analyse how education affects health outcomes in each category of health outcomes.

resultsThe results for the probability of predictor variables belonging to category 3 “good” [coded 3 on the dummy variable (DV)] are positive and significant [dy/dx = 0.328; p = 0.029], showing that the marginal effects of having an undergraduate degree and belonging to category 3 are higher (33pp) than in any other category. The empirical findings suggest that education can be an important determinant of behavioral transformation and later changes in health-related outcomes.

conclusionThus, it is the policy implications and recommendations of this study that improving health outcomes requires more than health sector solutions. As such, given that education shapes health behaviours and health outcomes across the course of life, policies must move beyond silos and intergrade health education in South Africa’s education system in order to rule out health illiteracy as a root cause of health inequality and poor health outcomes.

Indexed as

Economic growth4Education3Health behaviours1Health outcomes2

Identifiers

PMID41491766
PMCPMC12825173

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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.