Evidence map›Paper›PMID 42466452›Full record

ArticleBMJ public health2026

Health systems readiness for integration of point-of-care digital diagnostic tools for acute febrile illness in Ghana: a mixed-methods study protocol.

Shola Molemodile Dele-Olowu, Leonard Baatiema, Frances Baaba da-Costa Vroom, Emilia A Udofia, Luc de Witte, Alfred Edwin Yawson, Julie Balen, NIHR Global Health Research Group on Digital Diagnostics for African Health Systems

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Article in BMJ public health, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Shola Molemodile Dele-OlowuSchool of Public Health, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0001-7093-435X
Leonard BaatiemaSchool of Public Health, University of Ghana, Accra, Ghana.
Frances Baaba da-Costa VroomSchool of Public Health, University of Ghana, Accra, Ghana.
Emilia A UdofiaUniversity of Ghana Medical School, Accra, Ghana.
Luc de WitteThe Hague University of Applied Sciences, The Hague, The Netherlands.
Alfred Edwin YawsonCommunity Health, University of Ghana Medical School, Accra, Ghana.
Julie BalenCanterbury Christ Church University School of Allied and Public Health Professions, Canterbury, UK.
NIHR Global Health Research Group on Digital Diagnostics for African Health Systems

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The convergence of digital technologies with point-of-care (POC) diagnostics has paved the way for innovative digital POC diagnostics that combine the convenience and accessibility of POC testing with digital connectivity and data analytics capabilities. Given the burden and mortality from infectious diseases such as malaria in many African countries, rapid diagnosis and treatment are essential for effective disease management. Therefore, this study aims to assess the readiness of African health systems, with a focus on Ghana, to integrate new POC digital diagnostic tools for acute febrile illness by directly learning from stakeholders and intended users. Methods and analysis: This study focuses on Ghana's health system within a broader context of work across six sub-Saharan African countries. It will adopt a mixed-methods approach to assess the readiness of Ghana's health system to use and integrate new POC digital diagnostic tests for diagnosing acute febrile illness.Data will be collected through a realist evaluation approach, policy analysis, surveys (n≈75), key informant interviews (n≥20), focus group discussions and observations in three regions in Ghana.Stakeholders representing various levels of health system governance, including global, national, regional and district levels, will be purposively selected for qualitative interviews. Analysis will be guided by realist evaluation using context-mechanism-outcome configurations, complemented by a four-by-four implementation framework. Qualitative data will undergo thematic analysis, while quantitative survey data will be analysed using descriptive and inferential statistics. Findings will be triangulated across data sources to refine programme theory and identify context-specific pathways for integration. Ethics and dissemination: The study aims to contribute to the design of new POC digital diagnostic tests that are context-appropriate for diagnostic testing in Ghana and similar African contexts. Results will be communicated to relevant communities and stakeholders and disseminated through publications and presentations. PROSPERO registration number: CRD420251084372.

Indexed as

Communicable Disease ControlDigital TechnologyPublic Health

Identifiers

PMID42466452
PMCPMC13374460

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