Evidence map›Paper›PMID 40114587›Full record

ArticleJournal of global health2025

Enhancing monitoring and evaluation of digital health interventions in sub-Saharan Africa: big data, mHealth, and dashboards.

Oche Joseph Otorkpa, Joseph Omeiza Alao, Abiodun Paul Olaiya

Abstract read
In one paragraph

Article in Journal of global 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

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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Oche Joseph OtorkpaDepartment of Public Health, Faculty of Health Sciences, National Open University of Nigeria, Lokoja, Nigeria.
Joseph Omeiza AlaoDepartment of Physics, Air Force Institute of Technology, Kaduna, Nigeria.
Abiodun Paul OlaiyaDepartment of Public Health, School of Public Health, Texila American University, Georgetown, Guyana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health interventions based on digital and mobile technologies are essential for advancing healthcare in sub-Saharan Africa. However, challenges with their effective monitoring and evaluation (M&E) continue to impact their scalability and sustainability. Here we propose a set of innovative strategies to strengthen M&E frameworks, including integrating big data analytics and artificial intelligence for real-time impact assessment, leveraging mHealth platforms for enhanced data collection and stakeholder engagement, and developing interactive digital dashboards for transparent decision-making. These strategies aim to optimise digital health interventions implementation and evaluation, addressing critical healthcare access and outcome challenges exacerbated by a shortage of healthcare professionals in the region. By enhancing M&E capabilities, these approaches maximise the impact of digital health technologies in improving public health across sub-Saharan Africa.

Indexed as

Big DataTelemedicineAfrica South of the SaharaArtificial IntelligenceDigital HealthHumans

Identifiers

PMID40114587
PMCPMC11926576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.