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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
Lester, R. T., Ritvo, P., Mills, E. J., Kariri, A., Karanja, S., Chung, M. H., Jack, W., Habyarimana, J., Sadatsafavi, M., Najafzadeh, M., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61997-6 · Cited by 1,278
How can we achieve and maintain high-quality performance of health workers in low-resource settings?
Rowe, A. K., de Savigny, D., Lanata, C. F., & Victora, C. G. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67028-6 · Cited by 1,048
Pop-Eleches, C., Thirumurthy, H., Habyarimana, J. P., Zivin, J. G., Goldstein, M. P., de Walque, D., MacKeen, L., Haberer, J., Kimaiyo, S., Sidle, J., et al. (2011) · AIDS · doi:10.1097/qad.0b013e32834380c1 · Cited by 982
Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60701-0 · Cited by 728
Mobile Phone Based Clinical Microscopy for Global Health Applications
Breslauer, D. N., Maamari, R. N., Switz, N. A., Lam, W. A., & Fletcher, D. A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006320 · Cited by 694
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671
Friedman, R. H. (1996) · American Journal of Hypertension · doi:10.1016/0895-7061(95)00353-3 · Cited by 509
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467
Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1874 · Cited by 451
Aanensen, D. M., Huntley, D. M., Feil, E. J., Alown, F., & Spratt, B. G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006968 · Cited by 430
Research works printed but not linked: 11
- Hempel J, 2010, Strateg Dir, 160, 92
- Goldemberg J, 1998, Energy Policy, 2, 729
- Whittaker R, 2009, Cochrane Database Syst Rev, CD006611
- Pulman A, 2010, J Res Center EducTechnol, 6, 111
- Capozzi D, 2010, Stud Health Technol Inform, 160, 63
- Rigoberto MM, 2010, Conf Proc IEEE Eng Med Biol Soc, 2010, 82
- Lemoyne R, 2010, Conf Proc IEEE Eng Med Biol Soc, 2010, 3847
- Sanches JM, 2010, Conf Proc IEEE Eng Med Biol Soc, 2010, 2975
- Hart A, 2010, Conf Proc IEEE Eng Med Biol Soc, 2010, 927
- UNAIDS, 2005, Resource Needs for an Expanded Response to AIDS in Low- and Middle-Income Countries.
- Rueda S, 2006, Cochrane Database Syst Rev, 3, CD001442
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Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method
Chandrasekhar, A., Kim, C., Naji, M. B., Natarajan, K., Hahn, J., & Mukkamala, R. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aap8674 · Cited by 208
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Danquah, L. O., Hasham, N., MacFarlane, M., Conteh, F. E., Momoh, F., Tedesco, A. A., Jambai, A., Ross, D. A., & Weiss, H. A. (2019) · BMC Infectious Diseases · doi:10.1186/s12879-019-4354-z · Cited by 155
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Rono, H. K., Bastawrous, A., Macleod, D., Wanjala, E., Tanna, G. L. D., Weiss, H. A., & Burton, M. J. (2018) · The Lancet Global Health · doi:10.1016/s2214-109x(18)30244-4 · Cited by 137
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Finitsis, D. J., Pellowski, J. A., Huedo-Medina, T. B., Fox, M., & Kalichman, S. (2016) · Journal of behavioral medicine · doi:10.1007/s10865-016-9770-6 · Cited by 91
Devi, R., Kanitkar, K., Ramasamy, N., Sehmi, K., & Subramaniam, K. (2020) · Advances in Therapy · doi:10.1007/s12325-020-01519-3 · Cited by 93
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Abashev, A., Grigoryev, R. A., Grigorian, K., & Boyko, V. (2016) · BioNanoScience · doi:10.1007/s12668-016-0376-9 · Cited by 45
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Maurizi, N., Faragli, A., Imberti, J. F., Briante, N., Targetti, M., Baldini, K., Sall, A., Cisse, A., Berzolari, F. G., Borrelli, P., et al. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.02.027 · Cited by 30
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Alazzam, M. B., Al-Radaideh, A. T., Alhamarnah, R. A., Alassery, F., Hajjej, F., & Halasa, A. (2021) · Computational Intelligence and Neuroscience · doi:10.1155/2021/1220374 · Cited by 30
RetractedThe Healthcare System Perspective in mHealth
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Okello, G. O., Githinji, S., Jones, C. O. H., Snow, R. W., Talisuna, A. O., & Zurovac, D. (2014) · Malaria Journal · doi:10.1186/1475-2875-13-44 · Cited by 29
Aklilu, T. M., Abebe, W., Worku, A., Tadele, H., Haile, T., Shimelis, D., Mekonen, D., Amogne, W., Moges, A., Habtamu, A., et al. (2020) · medRxiv · doi:10.1101/2020.11.25.20236224 · Cited by 28
Vasiman, A., Stothard, J. R., & Bogoch, I. I. (2018) · Advances in Parasitology/Advances in parasitology · doi:10.1016/bs.apar.2018.09.001 · Cited by 28
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Sarfo, F. S., Akpalu, A. K., Bockarie, A. S., Appiah, L. T., Nguah, S. B., Ayisi‐Boateng, N. K., Adamu, S., Neizer, C., Arthur, A., Nyamekye, R. K., et al. (2021) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2021.105888 · Cited by 27
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Andersen, T., Jeremiah, M., Thamane, K., Littman–Quinn, R., Dikai, Z., Kovarik, C., & Ndlovu, K. (2019) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0213 · Cited by 26
Allan, L., Beilei, L., Cameron, J., Olaiya, M. T., Silvera‐Tawil, D., Adcock, A. K., English, C., Gall, S., & Cadilhac, D. A.-M. (2023) · Stroke · doi:10.1161/strokeaha.123.043794 · Cited by 25
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Grau, I., Kostov, B., Gallego, J. A., Grajales, F. J., III, Fernández-Luque, L., & Sisó‐Almirall, A. (2016) · Medicina de Familia SEMERGEN · doi:10.1016/j.semerg.2015.12.001 · Cited by 26
Morse, R. S., Lambden, K., Quinn, E., Ngoma, T., Mushi, B., Ho, Y. X., Ngoma, M., Mahuna, H., Sagan, S. B., Mmari, J., et al. (2021) · JMIR Cancer · doi:10.2196/24062 · Cited by 25
Sandholzer, M., Rurik, I., Deutsch, T., & Frese, T. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0125-y · Cited by 25
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Xie, B., Su, Z., Zhang, W., & Cai, R. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8549 · Cited by 21
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Rana, R. H., Alam, K., & Gow, J. (2019) · Information Technology for Development · doi:10.1080/02681102.2019.1678455 · Cited by 19
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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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