The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature
Open accessAbstract
The evolution of mobile phone technology has introduced new possibilities to the field of medicine. Combining technological advances with medical expertise has led to the use of mobile phones in all healthcare areas including diagnostics, telemedicine, research, reference libraries and interventions. This article provides an overview of the peer-reviewed literature, published between 1 August 2006 and 1 August 2011, for the application of mobile/cell phones (from basic text-messaging systems to smartphones) in healthcare in both resource-poor and high-income countries. Smartphone use is paving the way in high-income countries, while basic text-messaging systems of standard mobile phones are proving to be of value in low- and middle-income countries. Ranging from infection outbreak reporting, anti-HIV therapy adherence to gait analysis, resuscitation training and radiological imaging, the current uses and future possibilities of mobile phone technology in healthcare are endless. Multiple mobile phone based applications are available for healthcare workers and healthcare consumers; however, the absolute majority lack an evidence base. Therefore, more rigorous research is required to ensure that healthcare is not flooded with non-evidence based applications and is maximized for patient benefit.
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“Much recent mHealth literature has drawn attention to the fact that the evidence base for mHealth approaches improving health outcomes is lacking [40, 41].”
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Cites
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Cited by
Sorted by citations
Items 201–235 of 235
Halake, D. G., & Ogoncho, I. M. (2017) · Cited by 1
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References and Further Reading
Cooper, J. E., & Hull, G. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802039-5.00037-8 · Cited by 1
Mekonnen, Z. A., Gelaye, K. A., Were, M. C., & Tilahun, B. C. (2020) · doi:10.21203/rs.3.rs-19441/v1 · Cited by 1
Miranda, I. D. S., Cardoso, G. S., Pahar, M., Oliveira, G., & Niesler, T. (2021) · doi:10.36227/techrxiv.13736698.v1 · Cited by 1
Mobile Health and Artificial Intelligence as Nutritional Support for the Population: A ReviewPreprint
Nogueira-Rio, N., López-Santamarina, A., Mondragón, A. D. C., & Miranda, J. M. (2024) · Preprints.org · doi:10.20944/preprints202406.0279.v1
Macharia, P. M., & Inimah, D. K. M. (2015) · IEEE International Conference on Cloud Computing Technology and Science
Placing Prevention in the Pockets: The Role of mHealth in Preventive Medical Services
(2014) · CRC Press eBooks · doi:10.1201/b17724-3
Response to “Is there really an EEG correlate of smartphone text messaging?”
Tatum, W. O., & Yelvington, K. H. (2016) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2016.09.042
Outpatient surgical care in sub‐Saharan Africa: Learning points for low‐ and high‐income settings
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Determining the Constituents for the Advancement of Healthcare Wearable Technologies in Oman
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Delgado, C., Pomar, E. M. G., Velásquez, P., Sánchez, V., Shimabuku, R., Huicho, L., & RCPNEOPERU Study Group (2017) · F1000Research · doi:10.12688/f1000research.12269.2
(2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805362-1.00028-0
Miranda, I. D. S., Cardoso, G. S., Pahar, M., de Oliveira, G. H. H., & Niesler, T. (2021) · doi:10.36227/techrxiv.13736698
Baxter, C. A. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.238364
Emerging (Trans)national Wellbeing Technologies: Understanding Them Across Contexts
Hanckel, B. (2023) · Perspectives on children and young people · doi:10.1007/978-981-99-4394-4_6
Devices, Mobile Health, and Digital Phenotyping
Volpe, U., Elkholy, H. A., Gargot, T., da Costa, M. P., & Orsolini, L. (2024) · Springer eBooks · doi:10.1007/978-3-030-51366-5_151
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Chan, N. H.-M., Merali, H. S., Mistry, N., Kealey, R., Campbell, D. M., Morris, S. K., & Santorino, D. (2021) · Figshare · doi:10.6084/m9.figshare.13719216
Njeru, R. W., Uddin, M. F., Zakayo, S. M., Sanga, G., Charo, A., Islam, M. A., Hossain, M. A., Kimani, M. N., Mwadhi, M. K., Ogutu, M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.17010261
Awareness and Utilisation of Smartphone Applications for Posture Assessment Among Physiotherapists
Alamgir, S., Kamal, S. S., Wajid, W., Khan, S., Abrar, H., & Badar, N. (2026) · The Healer Journal of Physiotherapy and Rehabilitation Sciences · doi:10.55735/h00yd009
Challenges of glaucoma diagnosis for developing countries
Basarat, T., Hussain, A., Bano, S. A., Maswood, M., & Badar, M. S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44911-6.00013-9
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Perspective Chapter: Academic International Medicine – A Multi-Disciplinary Specialty Coming of Age
Stawicki, S. P., Piplani, C., Wojda, T. R., Oleribe, O. O., Galwankar, S. C., Firstenberg, M. S., Papadimos, T. J., & Opara, I. N. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1015078
Metadata
- Authors
- Bastawrous, A., & Armstrong, M. J.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- NIHR Birmingham Liver Biomedical Research Unit (GB)
- Corresponding author
- Bastawrous, Andrew
- Venue
- Journal of the Royal Society of Medicine
- Publisher
- SAGE Publications
- Published
- 2013-04
- Volume
- 106
- Issue
- 4
- Pages
- 130-142
- ISSN
- 0141-0768 (ISSN-L)
- 1758-1095
- PMC
- PMC3618170
- OpenAlex
- W2108171260
- Cited by
- 236
- References
- 51
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 16 · 2023: 20 · 2022: 16 · 2021: 32 · 2020: 24 · 2019: 26 · 2018: 21 · 2017: 18 · 2016: 18 · 2015: 18 · 2014: 13 · 2013: 1
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the Royal Society of Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile health, smartphones, text messaging, low- and middle-income countries, high-income countries, telemedicine, gait analysis, resuscitation training, radiological imaging
- MeSH terms
- Delivery of Health Care, Developing Countries, Health Services, Humans, Telemedicine, Developed Countries, Cell Phone, Text Messaging
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