Evidence map›Paper›PMID 41814297›Full record

ArticleBMC health services research2026

Factors associated with digital tools use among primary healthcare professionals in Burkina Faso: a cross-sectional study of the minimal digital ecosystem.

Relwendé Nacanabo, Joël Arthur Kiendrébéogo, Noëllie Konsebo, Issa Kaboré, Orokia Sory, David Zombré, Rémi Kaboré, Simon Tiendrebeogo, Charlemagne Tapsoba, T Daliah Marie Nacoulma and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Relwendé NacanaboInstitut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso. ednewler@gmail.com.ORCID http://orcid.org/0000-0003-4010-0236
Joël Arthur KiendrébéogoInstitut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso.ORCID http://orcid.org/0000-0002-7000-3712
Noëllie KonseboRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
Issa KaboréRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
Orokia SoryRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
David ZombréInstitut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso.
Rémi KaboréInstitut de Santé Publique d'Épidémiologie et du Développement (ISPED), Bordeaux, France.
Simon TiendrebeogoInstitut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso.
Charlemagne TapsobaRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
T Daliah Marie NacoulmaRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
Toudala ParéRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.
Yamba KafandoRecherche pour la santé et le développement (RESADE), Ouagadougou, Burkina Faso.

Funding

Bill and Melinda Gates Foundation INV-056021
6 · The paper itself

Abstract

backgroundThe use of digital tools in healthcare remains limited in many countries, although their use by healthcare professionals is key to the effective implementation of digital health. In 2023, Burkina Faso introduced the Minimal Digital Ecosystem (MDE), a set of eight digital tools designed to support healthcare providers in clinical care, free-service management, pharmaceutical supply, and quality assessment. This study aims to identify factors associated with the use of MDE tools among healthcare professionals.

methodsWe conducted a cross-sectional study in four districts of Burkina Faso (Ziniaré, Ténado, Manga, and Sapouy). Spatially representative health facilities were selected using Moran autocorrelation, and purposive sampling was applied to recruit health professionals. Data were analysed through chi-square tests and multivariate logistic regression.

resultsFactors varied across tool categories. Use of service delivery tools (REC-PCIME and REC-Maternité) was significantly associated with secondary education (aOR = 3.47; 95% CI: 1.68–7.20). Perceived ease of use strongly influenced E-SantéCom adoption (aOR = 98.51; 95% CI: 1.77–5492.15). Men were more likely to use NetSIGL 2.0 (aOR = 3.07; 95% CI: 1.76–5.36), while access to more than four tablets reduced its use (aOR = 0.56; 95% CI: 0.35–0.91). Geographic disparities were observed for E-Qualité, with almost no uptake in Manga (aOR = 0.01; 95% CI: 0.00–0.18). For E-Flux financier, secondary education was again a major predictor (aOR = 7.66; 95% CI: 1.45–40.38). Finally, use of E-Gratuité and individual electronic care record tool (FIS) was associated with male gender (aOR = 18.04; 95% CI: 5.14–63.30) and more than 10 years of professional experience (aOR = 12.05; 95% CI: 1.59–91.46).

conclusionMDE tools use in Burkina Faso is shaped by both individual factors (gender, education, experience, and perceptions) and structural factors (equipment availability and geographic disparities). Targeted strategies are needed to strengthen digital health use and ensure equitable integration within primary healthcare.

Indexed as

Health PersonnelPrimary Health CareAdultBurkina FasoCross-Sectional StudiesDigital HealthDigital MediaFemaleHumansMaleBurkina FasoDigital healthHealthcare professionalsHealth services researchLogistic regressionMinimal digital ecosystemTool use

Identifiers

PMID41814297
PMCPMC13094088

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.