Evidence map›Paper›PMID 41749244›Full record

ArticleCost effectiveness and resource allocation : C/E2026

Cost-consequence analysis of a digital health-enabled non-communicable disease management intervention in Ghana.

Appiah Akwasi Obeng, Richard Abeiku Bonney, Thomas Yaw Ayensu Essel, Paulina Afia Gyinae Wilberforce, Peter Agyei-Baffour

Abstract read
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Article in Cost effectiveness and resource allocation : C/E, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Appiah Akwasi Obeng *Department of Health Policy, Management and Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Richard Abeiku Bonney *Department of Health Policy, Management and Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. bonney@campus.tu-berlin.de.ORCID http://orcid.org/0000-0002-9352-9928
Thomas Yaw Ayensu EsselDepartment of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Paulina Afia Gyinae WilberforceDepartment of Health Policy, Management and Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Peter Agyei-BaffourDepartment of Health Policy, Management and Economics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes and hypertension pose a major non-communicable disease (NCD) burden in Ghana, yet care remains reactive and resource-intensive. Although digital health interventions may improve screening, continuity of care, and patient engagement, economic evidence, particularly transparent assessments of multiple costs and outcomes, remains limited in low- and middle-income settings. The Akoma Pa initiative integrates digital health tools to address these gaps. There is a lack of evidence on the cost-consequences of digital health interventions in Ghana. This study evaluates the costs and consequences of the intervention compared with conventional standard care to inform resource allocation and policy decisions for sustainable NCD management in Ghana.

methodsA retrospective cost-consequence analysis was conducted comparing the Akoma Pa digital health program with conventional care for diabetes and hypertension in Christian Health Association of Ghana (CHAG) facilities between January and December 2023. A total of 705 adults with hypertension and/or diabetes were systematically sampled from 16 facilities (8 intervention, 8 comparator) using proportionate-to-size allocation and random selection from clinic registers; only consenting participants who completed follow-up were analysed. Costs were disaggregated into capital, recurrent, personnel, and training categories. Consequences were reported as a profile of outcomes, including clinical changes (HbA1c, systolic blood pressure, body mass index) and process indicators (follow-up rates).

resultsThe total annual program cost for the intervention was $508,443.89, compared with $529,882.28 for the comparator, indicating a cost-saving of approximately $21,438. The intervention demonstrated superior clinical effectiveness with greater mean reductions in HbA1c (-2.10% vs. -1.68%), Systolic Blood Pressure (-54.38 mmHg vs. -51.88 mmHg), and BMI (-4.42 kg/m² vs. -0.61 kg/m²). Process outcomes revealed a significant impact on engagement, with the intervention achieving an 89% follow-up rate compared to 36.5% in standard care.

conclusionThe Akoma Pa intervention presents a dominant economic profile, offering superior clinical and engagement outcomes at a lower total health system cost than conventional care. The efficiency gains from digital supply chain management and tele-counselling support the integration of such digital ecosystems into national NCD strategies.

Indexed as

Akoma PaCost-consequence analysisDigital healthGhanaNon-communicable disease

Identifiers

PMID41749244
PMCPMC13049862

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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.