Qualitative Evaluation of mHealth Implementation for Infectious Disease Care in Low- and Middle-Income Countries
Author Information
Author(s): Josephine Greenall-Ota, H Manisha Yapa, Greg J Fox, Joel Negin
Primary Institution: University of Sydney
Hypothesis
What are the key barriers to and facilitators of the implementation of mHealth interventions for infectious diseases in LMICs?
Conclusion
Acceptance of the intervention and the capacity of existing health care system infrastructure and resources are two key factors affecting the implementation of mHealth interventions.
Supporting Evidence
- Mobile health interventions can improve health outcomes in low- and middle-income countries.
- Key determinants of mHealth implementation include access to technology and user familiarity.
- Training and support are crucial for the successful uptake of mHealth interventions.
Takeaway
This study looked at how mobile health tools can help fight diseases in poorer countries and found that getting people to accept these tools and having the right resources are really important for success.
Methodology
The study followed the PRISMA checklist to select qualitative or mixed methods studies and analyzed determinants using the Tailored Implementation for Chronic Diseases framework.
Potential Biases
Limited user engagement due to lack of communication and training on the intervention.
Limitations
Most studies were conducted in Africa, limiting generalizability to other regions, and the review did not source primary quantitative impact evaluations.
Participant Demographics
The studies included health workers, patients, caregivers, and community members from low- and middle-income countries.
Digital Object Identifier (DOI)
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