Evidence map›Paper›PMID 40634955›Full record

ArticleBMC public health2025

Assessing the effect of energy poverty on health outcomes: insights from Ghana.

Kwasi Nyame-Baafi, Joseph Kofi Agyapong Darmoe, Williams Ohemeng, Michel Adurayi Amenah

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kwasi Nyame-BaafiAfrican Centre for Trade, Energy and Climate Action, Accra, Ghana.
Joseph Kofi Agyapong DarmoeSchool of Public Service and Governance, Ghana Institute of Management and Public Administration, Accra, Ghana.
Williams OhemengSchool of Technology and Social Sciences, Ghana Institute of Management and Public Administration, Accra, Ghana.
Michel Adurayi AmenahDivision of Health Research, Lancaster University, Lancaster, UK. michel.adurayi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnergy poverty, characterized by inadequate access to clean, reliable, and affordable energy, is a pressing issue in low- and middle-income countries (LMICs), with profound implications for health outcomes and healthcare utilization. In sub-Saharan Africa, including Ghana, energy poverty disproportionately affects rural and low-income households, exacerbating health disparities and limiting access to healthcare services. This study investigates the impact of energy poverty on health outcomes and healthcare-seeking behaviour. Specifically, it examines the likelihood of illness or injury, the duration of illness as an indicator of healthcare access, and the probability of consulting health practitioners, providing evidence to guide targeted policy interventions.

methodsThe study utilized data from the Ghana Living Standards Survey (GLSS 7) to examine energy poverty and health outcomes. The Multidimensional Energy Poverty Index (MEPI) was calculated to measure energy poverty among a sample of 7,460 households. Health outcomes were assessed based on the incidence and duration of illness or injury and healthcare-seeking behaviors. To analyze these relationships, econometric models such as binary logistic regression and Poisson regression were employed, with robustness checks conducted using the Lewbel Two-Stage Least Squares (2SLS) method to address potential endogeneity. The analysis was performed using STATA 18 software.

resultsThe study finds that energy poverty is significantly associated with a higher probability of experiencing illness or injury (0.063, p < 0.01), while paradoxically linked to shorter illness duration (-1.299, p < 0.10). Among poor households, energy poverty significantly reduces the likelihood of consulting a healthcare practitioner (-0.036, p < 0.10). Lewbel 2SLS estimates confirm these patterns, showing a robust positive effect on illness incidence (0.181, p < 0.05) and a significant negative impact on healthcare utilization (-0.137, p < 0.10). These findings underscore energy poverty's dual burden: increasing health risks while limiting timely access to care, particularly for the poor.

conclusionsThe findings highlight the critical effect of energy poverty on health outcomes in Ghana, particularly among the poorest and most vulnerable populations. Addressing energy poverty requires integrated policies that enhance access to clean and affordable energy while also improving healthcare services and public health education. Targeted interventions for vulnerable groups, including subsidies for clean energy technologies and energy-efficient appliances, are essential. This study calls for a nuanced approach that aligns energy access with public health goals, aiming to improve well-being and reduce health disparities in Ghana.

Indexed as

Energy-Generating ResourcesOutcome Assessment, Health CarePatient Acceptance of Health CarePovertyAdolescentAdultFemaleGhanaHealth Services AccessibilityHumansMaleMiddle AgedYoung AdultEnergy povertyIndoor air pollutionMultidimensional energy poverty indexPublic health

Identifiers

PMID40634955
PMCPMC12239458

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LicenceCC BY-NC-ND
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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.