ArticlePEC innovation2026
The acceptability, adoption and feasibility of mobile health interventions for diabetes and hypertension care among Ghanaian healthcare workers.
Article in PEC innovation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Using a digital health tool to strengthen community engagement in arboviral disease prevention: an implementation study in Colombia.BMC public health · 2026Trial
- Barriers and facilitators to the use of Hypercare APK app in hypertension management: a qualitative inquiry into highly educated participants' experiences in Ilorin, Nigeria.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The study explored healthcare workers' experiences using the AfyaPro Connected Care app and identified key enablers and barriers to its adoption for diabetes and hypertension care in Ghana. The study applied the Technology Acceptance Model (TAM) to examine how perceptions of usefulness and ease of use of the app influence adoption and to address the gap in evidence on mHealth uptake by frontline providers in low- and middle-income country (LMIC) health systems. Methods: A qualitative study was conducted with 20 healthcare workers from two healthcare facilities. Semi-structured interviews, guided by the TAM, explored perceptions of the app's usefulness, ease of use, and behavioral intention. The framework was appropriate for examining individual and contextual drivers of technology adoption in resource-constrained healthcare settings. Interviews were transcribed verbatim and analysed thematically. Results: Participants reported positive experiences with the app, noting reduced administrative burden, workflow integration, stronger patient-provider interaction and improved continuity of follow-up. The app enhanced access to specialist care, supported self-monitoring of blood pressure and glucose, and boosted confidence through its intuitive design and structured training. However, challenges persisted, including unstable power and internet connectivity, increased data entry workload, limited patient access and digital literacy, and restricted roles for junior staff. Participants recommended clearer roles, regular supervision, refresher training, and decision-support tools to improve sustainability and equitable adoption. Innovation: This study adopts a user-centered and context-sensitive approach based on provider experiences. It shows how mHealth tools can be fitted into Ghana's healthcare system, where challenges like limited infrastructure and digital literacy affect use. Innovation is seen as adapting tools and systems through digital literacy training, decision-support in provider workflows, and blended care models, helping to build a fairer and more sustainable health system. Conclusions: Healthcare workers found the mHealth app feasible and acceptable. The findings highlight the potential of digital tools to improve chronic disease care in resource-limited settings. The study demonstrates how contextual factors in LMIC settings reshape key TAM constructs, with clear implications for mHealth policy, scale-up strategies, and refinement of technology adoption theory.
Indexed as
Identifiers
What Socratic 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 Socratic graph.