ArticleFrontiers in digital health2026
Differential acceptance of a national digital health platform among community and frontline health workers in Cote d'Ivoire: a cross-sectional study.
Article in Frontiers in digital 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Mobile-based digital health solutions are critical technologies that play a significant role in improving the quality of healthcare services. Cote d'Ivoire is digitizing its community-based health information system (CHIS), piloting the mHealth.ci that is composed of an eCHIS and other tools for community health workers (CHWs) and frontline health workers (FHWs) in the Poro health region. This study aimed to compare the determinants of the mHealth.ci acceptance between these two categories of end-users in Cote d'Ivoire. Methods: We conducted a cross-sectional analytic study from February to March 2025, in the five pilot health districts of the Poro Health Region, using a combined Technology Acceptance Model (TAM) and Louart S et al. framework. Key determinants included perceived usefulness, ease of use, advantages, disadvantages, social influence, personal emotion, context, attitude, intention to use, and actual use. A total of 280 trained end-users (80 FHWs and 200 CHWs) participated in the study. The data was analyzed with R. Results: Of 280 participants, 85% were male, with an average age of 42 ± 9 years. Significant socio-demographic differences existed between CHWs and FHWs (e.g., CHWs were older, less educated, and had less prior mobile app experience, Conclusion: The study provides important insights into mHealth.ci acceptance and emphasizes the necessity of adapting training and supervision approaches to the distinct needs of different end-user categories to foster successful adoption of mHealth.ci.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.