Evidence map›Paper›PMID 41073105›Full record

ArticleBMJ health & care informatics2025

Digital health tools in hypertension management in sub-Saharan Africa: a scoping review of barriers and facilitators of adoption into mainstream healthcare.

Thomas Hinneh, Bernard Mensah, Charles Kwanin, Chidi Okonkwo, Samuel Byiringiro

Abstract readScoping Review
In one paragraph

Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Thomas HinnehTain District Hospital, Ghana Health Service, Nsawkaw, Ghana.ORCID http://orcid.org/0000-0002-4417-506X
Bernard MensahYale University School of Nursing, New Haven, Connecticut, USA.
Charles KwaninSchool of Nursing, University of Washington, Seattle, Washington, USA.
Chidi OkonkwoSchool of Health Sciences, University of Dundee, Dundee, UK.ORCID http://orcid.org/0009-0005-1726-2917
Samuel ByiringiroSchool of Nursing, Vanderbilt University, Nashville, Tennessee, USA samuel.byiringiro@vanderbilt.edu.ORCID http://orcid.org/0000-0001-9165-0348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe increasing burden of hypertension in Africa underscores the need to embrace digital health innovations to improve delivery and access to quality hypertension care. This review aimed at (1) identifying barriers and facilitators to the implementation and uptake of digital health tools and (2) examining the scope and use of digital health tools based on the Practical Reviews in Self-Management Support (PRISMS) taxonomy. MATERIALS AND

methodsWe searched PubMed, CINAHL (Medline) and HINARI from inception to June 2024. The Joanna Briggs Institute (Population, Concept, and Context (PCC)) framework guided the formulation of research questions, and the PRISMS taxonomy was used to analyse the functions of digital tools.

resultsSixteen studies (k=16) across three African regions were included. Common digital health tools were mobile Health (mHealth) or electronic Health applications and short message service (SMS)-based interventions. Supported self-management functions included medication adherence (k=10), lifestyle counselling (k=12) and home blood pressure monitoring (k=9). Implementation strategies included prior training (k=10), continuous digital support (k=10) and provision of resources including BP devices and data credit (k=11). Targeted users were healthcare workers (k=8), patients (k=11) or both (k=3). Barriers included limited digital literacy, poor communication among healthcare workers, privacy concerns and weak internet infrastructure. Facilitators included competency-based training, contextual adaptations, continuous technical support and enhanced user experience through effective feedback systems between users.

conclusionDigital health tools, particularly mHealth apps and SMS, support key hypertension self-management tasks in African settings. Addressing technological and contextual barriers while reinforcing training and support systems is critical to successful implementation and scale-up.

Indexed as

HypertensionTelemedicineAfrica South of the SaharaDigital HealthHumansMobile ApplicationsSelf-ManagementText MessagingDelivery of Health CarePublic health informatics

Identifiers

PMID41073105
PMCPMC12517033

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.