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.
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