Title |
Use of mHealth Systems and Tools for Non-Communicable Diseases in Low- and Middle-Income Countries: a Systematic Review
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Published in |
Journal of Cardiovascular Translational Research, September 2014
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DOI | 10.1007/s12265-014-9581-5 |
Pubmed ID | |
Authors |
David Peiris, Devarsetty Praveen, Claire Johnson, Kishor Mogulluru |
Abstract |
With the rapid adoption of mobile devices, mobile health (mHealth) offers the potential to transform health care delivery, especially in the world's poorest regions. We systematically reviewed the literature to determine the impact of mHealth interventions on health care quality for non-communicable diseases in low- and middle-income countries and to identify knowledge gaps in this rapidly evolving field. Overall, we found few high-quality studies. Most studies narrowly focused on text messaging systems for patient behavior change, and few studies examined the health systems strengthening aspects of mHealth. There were limited literature reporting clinical effectiveness, costs, and patient acceptability, and none reporting equity and safety issues. Despite the bold promise of mHealth to improve health care, much remains unknown about whether and how this will be fulfilled. Encouragingly, we identified some registered clinical trial protocols of large-scale, multidimensional mHealth interventions, suggesting that the current limited evidence base will expand in coming years. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 29% |
United Kingdom | 4 | 19% |
Switzerland | 2 | 10% |
France | 1 | 5% |
Australia | 1 | 5% |
Argentina | 1 | 5% |
Kenya | 1 | 5% |
Angola | 1 | 5% |
Bangladesh | 1 | 5% |
Other | 0 | 0% |
Unknown | 3 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 67% |
Scientists | 4 | 19% |
Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
United States | 1 | <1% |
Unknown | 406 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 74 | 18% |
Student > Ph. D. Student | 59 | 14% |
Researcher | 58 | 14% |
Student > Postgraduate | 32 | 8% |
Student > Bachelor | 26 | 6% |
Other | 89 | 22% |
Unknown | 74 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 109 | 26% |
Nursing and Health Professions | 49 | 12% |
Computer Science | 42 | 10% |
Social Sciences | 25 | 6% |
Engineering | 15 | 4% |
Other | 74 | 18% |
Unknown | 98 | 24% |