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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The evidence base for mHealth approaches improving health outcomes is lacking.
“Much recent mHealth literature has drawn attention to the fact that the evidence base for mHealth approaches improving health outcomes is lacking [40, 41].”
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Friedman, R. H. (1996) · American Journal of Hypertension · doi:10.1016/0895-7061(95)00353-3 · Cited by 506 · see citing works
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1874 · Cited by 451 · see citing works
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 · see citing works
Zurovac, D., Sudoi, R. K., Akhwale, W. S., Ndiritu, M., Hamer, D. H., Rowe, A. K., & Snow, R. W. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60783-6 · Cited by 403 · see citing works
iPhone Apps for Smoking Cessation
Abroms, L. C., Padmanabhan, N., Thaweethai, L., & Phillips, T. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.10.032 · Cited by 365 · see citing works
The use of mobile phones as a data collection tool: A report from a household survey in South Africa
Tomlinson, M., Solomon, W., Singh, Y., Doherty, T., Chopra, M., Ijumba, P., Tsai, A. C., & Jackson, D. (2009) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-9-51 · Cited by 340 · see citing works
Cost-effective and compact wide-field fluorescent imaging on a cell-phone
Zhu, H., Yaglidere, O., Su, T., Tseng, D. K., & Özcan, A. (2010) · Lab on a Chip · doi:10.1039/c0lc00358a · Cited by 330 · see citing works
Wearable Medical Systems for p-Health
Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008248 · Cited by 310 · see citing works
Happy Ending: a randomized controlled trial of a digital multi‐media smoking cessation intervention
Brendryen, H., & Kraft, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02119.x · Cited by 292 · see citing works
The use of text messaging to improve attendance in primary care: a randomized controlled trial
Leong, K. C., Chen, W. S., Leong, K. W., Mastura, I., Mimi, O., Sheikh, M. A., Zailinawati, A. H., Ng, C. J., Phua, K. L., & Teng, C. L. (2006) · Family Practice · doi:10.1093/fampra/cml044 · Cited by 291 · see citing works
Scherr, D., Kästner, P., Kollmann, A., Hallas, A., Auer, J., Krappinger, H., Schuchlenz, H. W., Stark, G., Grander, W., Jakl, G., et al. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1252 · Cited by 279 · see citing works
Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting
Freifeld, C. C., Chunara, R., Mekaru, S. R., Chan, E. H., Kass‐Hout, T., Iacucci, A. A., & Brownstein, J. S. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000376 · Cited by 242 · see citing works
Lane, S. J., Heddle, N. M., Arnold, E., & Walker, I. (2006) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-6-23 · Cited by 208 · see citing works
Whittaker, R., Maddison, R., McRobbie, H., Bullen, C., Denny, S., Dorey, E., Ellis-Pegler, M., van Rooyen, J., & Rodgers, A. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1007 · Cited by 171 · see citing works
A randomized trial of a proactive cellular telephone intervention for smokers living with HIV/AIDS
Vidrine, D. J., Arduino, R. C., Lazev, A. B., & Gritz, E. R. (2006) · AIDS · doi:10.1097/01.aids.0000198094.23691.58 · Cited by 171 · see citing works
Haberer, J. E., Kiwanuka, J., Nansera, D., Wilson, I. B., & Bangsberg, D. R. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9720-1 · Cited by 158 · see citing works
Mobile phone text messaging can help young people manage asthma
Neville, R. G., Greene, A., McLeod, J., Tracy, A., & Surie, J. (2002) · BMJ · doi:10.1136/bmj.325.7364.600/a · Cited by 124 · see citing works
Crankshaw, T., Corless, I. B., Giddy, J., Nicholas, P. K., Eichbaum, Q., & Butler, L. M. (2010) · AIDS Patient Care and STDs · doi:10.1089/apc.2010.0146 · Cited by 119 · see citing works
Kunutsor, S., Walley, J., Katabira, E., Muchuro, S., Balidawa, H., Namagala, E., & Ikoona, E. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9780-2 · Cited by 119 · see citing works
Yang, C., Yang, J., Luo, X., & Gong, P. (2009) · Bulletin of the World Health Organization · doi:10.2471/blt.08.060905 · Cited by 107 · see citing works
The uses of the iPhone for surgeons
Dala-Ali, B. M., Lloyd, M. A., & Al-Abed, Y. A. (2010) · The Surgeon · doi:10.1016/j.surge.2010.07.014 · Cited by 106 · see citing works
Cocosila, M., Archer, N., Brian Haynes, R., & Yuan, Y. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.07.011 · Cited by 90 · see citing works
iCPR: A new application of high-quality cardiopulmonary resuscitation training
Semeraro, F. F., Taggi, F., Tammaro, G., Imbrìaco, G., Marchetti, L., & Cerchiari, E. (2011) · Resuscitation · doi:10.1016/j.resuscitation.2010.11.023 · Cited by 88 · see citing works
Marciel, K. K., Saiman, L. M., Quittell, L. M., Dawkins, K., & Quittner, A. L. (2010) · Pediatric Pulmonology · doi:10.1002/ppul.21164 · Cited by 86 · see citing works
Meankaew, P., Kaewkungwal, J., Khamsiriwatchara, A., Khunthong, P., Singhasivanon, P., & Satimai, W. (2010) · Malaria Journal · doi:10.1186/1475-2875-9-237 · Cited by 85 · see citing works
Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics
Lemoyne, R. C., Mastroianni, T., Cozza, M., Coroian, C., & Grundfest, W. S. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627699 · Cited by 79 · see citing works
Merchant, R. M., Abella, B. S., Abotsi, E. J., Smith, T. M., Long, J. A., Trudeau, M. E., Leary, M., Groeneveld, P. W., Becker, L. B., & Asch, D. A. (2010) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2010.01.020 · Cited by 70 · see citing works
León, S. A., Fontelo, P. A., Green, L., Ackerman, M. J., & Liu, F. (2007) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-7-5 · Cited by 70 · see citing works
Can the power of mobile phones be used to improve tuberculosis diagnosis in developing countries?
Zimic, M., Coronel, J., Gilman, R. H., Luna, C. G., Curioso, W. H., & Moore, D. (2008) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/j.trstmh.2008.10.015 · Cited by 68 · see citing works
Effectiveness of the new ‘Mobile AED Map’ to find and retrieve an AED: A randomised controlled trial
Sakai, T., Iwami, T., Kitamura, T., Nishiyama, C., Kawamura, T., Kajino, K., Tanaka, H., Marukawa, S., Tasaki, O., Shiozaki, T., et al. (2010) · Resuscitation · doi:10.1016/j.resuscitation.2010.09.466 · Cited by 62 · see citing works
Choudhri, A. F., & Radvany, M. G. (2010) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-010-9312-7 · Cited by 62 · see citing works
Yang, C., Wang, H.-C., Chiang, W., Chang, W., Yen, Z., Chen, S., Ko, P. C., Huei‐Ming, M., Chen, S., Chang, S., et al. (2008) · Resuscitation · doi:10.1016/j.resuscitation.2008.03.232 · Cited by 61 · see citing works
Free, C., Hoile, E., Robertson, S., & Knight, R. (2010) · Clinical Trials · doi:10.1177/1740774510367687 · Cited by 56 · see citing works
Mobile phones to improve HIV treatment adherence.
Chi, B., & Stringer, J. (2010) · The Lancet · doi:10.1016/s0140-6736(10)62046-6 · Cited by 48 · see citing works
Mobile Phones to Improve the Practice of Neurology
Busis, N. A. (2010) · Neurologic Clinics · doi:10.1016/j.ncl.2009.11.001 · Cited by 40 · see citing works
Smart phones: new clinical tools in oncology?
Senior, K. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70116-4 · Cited by 29 · see citing works
Is Android or iPhone the Platform for Innovation in Imaging Informatics
Shih, G., Lakhani, P. C., & Nagy, P. G. (2009) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-009-9242-4 · Cited by 28 · see citing works
Augmented Reality in Oculoplastic Surgery: First iPhone Application
Mezzana, P., Scarinci, F., & Marabottini, N. (2011) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0b013e31820632eb · Cited by 20 · see citing works
Baerlocher, M. O., Talanow, R., & Baerlocher, A. F. (2010) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2009.09.016 · Cited by 17 · see citing works
Headset Bluetooth and cell phone based continuous central body temperature measurement system
Sanches, J., Pereira, B., & Paiva, T. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626172 · Cited by 16 · see citing works
Martínez-Méndez, R., Toshiyo, T., & Sekine, M. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626162 · Cited by 15 · see citing works
Text messaging to improve adherence to malaria guidelines
Moonen, B., & Cohen, J. M. (2011) · The Lancet · doi:10.1016/s0140-6736(11)61089-1 · Cited by 11 · see citing works
Hempel, J. (2010) · Strategic Direction · doi:10.1108/sd.2010.05626bad.009 · Cited by 4 · see citing works
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1 of the 51 references couldn’t be matched to a known paper.
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Firth, J., Siddiqi, N., Koyanagi, A., Siskind, D., Rosenbaum, S., Galletly, C., Allan, S., Caneo, C., Carney, R., Carvalho, A. F., et al. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30132-4 · Cited by 1,531 · see citing works
Rao, A. S. R. S., & Vázquez, J. A. (2020) · Infection Control and Hospital Epidemiology · doi:10.1017/ice.2020.61 · Cited by 394 · see citing works
Bastawrous, A., Rono, H. K., Livingstone, I. A. T., Weiss, H. A., Jordan, S., Kuper, H., & Burton, M. J. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2015.1468 · Cited by 338 · see citing works
Self-citationBibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016
Sweileh, W. M., Al-Jabi, S. W., AbuTaha, A. S., Zyoud, S. H., Anayah, F. M. A., & Sawalha, A. F. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0476-7 · Cited by 319 · see citing works
Mobile Health (mHealth) in Low- and Middle-Income Countries
McCool, J., Dobson, R., Whittaker, R., & Paton, C. (2022) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-052620-093850 · Cited by 269 · see citing works
The mobile revolution—using smartphone apps to prevent cardiovascular disease
Neubeck, L., Lowres, N., Benjamin, E. J., Freedman, S. B., Coorey, G., & Redfern, J. (2015) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2015.34 · Cited by 232 · see citing works
Social Media and HIV: A Systematic Review of Uses of Social Media in HIV Communication
Taggart, T., Grewe, M. E., Conserve, D. F., Gliwa, C., & Isler, M. R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4387 · Cited by 224 · see citing works
Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management
Piette, J. D., List, J. M., Rana, G., Townsend, W. A., Striplin, D., & Heisler, M. (2015) · Circulation · doi:10.1161/circulationaha.114.008723 · Cited by 223 · see citing works
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 · see citing works
Behavior Change Techniques in Popular Alcohol Reduction Apps
Crane, D., Garnett, C., Brown, J., West, R., & Michie, S. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4060 · Cited by 177 · see citing works
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 · see citing works
Sexual health promotion for young people delivered via digital media: a scoping review
Bailey, J., Mann, S., Wayal, S., Hunter, R. M., Free, C., Abraham, C., & Murray, E. (2015) · Public Health Research · doi:10.3310/phr03130 · Cited by 140 · see citing works
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 · see citing works
Self-citationInterfacing Pathogen Detection with Smartphones for Point-of-Care Applications
Ding, X., Mauk, M. G., Yin, K., Kadimisetty, K., & Liu, C. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b04973 · Cited by 131 · see citing works
Baxter, C. A., Carroll, J., Keogh, B., & Vandelanotte, C. (2020) · JMIR mhealth and uhealth · doi:10.2196/16741 · Cited by 116 · see citing works
Digital interventions to improve adherence to maintenance medication in asthma
Chan, A., De Simoni, A., Wileman, V., Holliday, L., Newby, C. J., Chisari, C., Ali, S., Zhu, N., Padakanti, P., Pinprachanan, V., et al. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013030.pub2 · Cited by 105 · see citing works
Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review
Hundert, A. S., Huguet, A., McGrath, P. J., Stinson, J., & Wheaton, M. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3452 · Cited by 103 · see citing works
International Mobile-Health Intervention on Physical Activity, Sitting, and Weight
Ganesan, A. N., Louise, J., Horsfall, M. J., Bilsborough, S., Hendriks, J., McGavigan, A. D., Selvanayagam, J. B., & Chew, D. P. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.03.472 · Cited by 98 · see citing works
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 · see citing works
Devi, R., Kanitkar, K., Ramasamy, N., Sehmi, K., & Subramaniam, K. (2020) · Advances in Therapy · doi:10.1007/s12325-020-01519-3 · Cited by 93 · see citing works
A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior
Dallery, J., Kurti, A. N., & Erb, P. (2014) · The Behavior Analyst · doi:10.1007/s40614-014-0017-y · Cited by 89 · see citing works
Evaluation of a smartphone food diary application using objectively measured energy expenditure
Pendergast, F. J., Ridgers, N. D., Worsley, A., & McNaughton, S. A. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0488-9 · Cited by 85 · see citing works
Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review
Bansal, A., Padappayil, R. P., Garg, C., Singal, A., Gupta, M., & Klein, A. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01617-3 · Cited by 87 · see citing works
Improving the public health impact of eHealth and mHealth interventions
Grady, A., Yoong, S., Sutherland, R., Lee, H., Nathan, N., & Wolfenden, L. (2018) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12771 · Cited by 79 · see citing works
An overview on the emerging area of identification, characterization, and assessment of health apps
Paglialonga, A., Lugo, A., & Santoro, E. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.05.017 · Cited by 77 · see citing works
Hampshire, K., Porter, G., Mariwah, S., Munthali, A., Robson, E., Owusu, S., Abane, A., & Milner, J. (2016) · Health Policy and Planning · doi:10.1093/heapol/czw095 · Cited by 72 · see citing works
Huang, K., Kumar, M., Cheng, S., Urcuyo, A. E., & Macharia, P. M. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08673-0 · Cited by 73 · see citing works
Neubeck, L., Coorey, G., Peiris, D., Mulley, J., Heeley, E. L., Hersch, F. B., & Redfern, J. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.01.009 · Cited by 66 · see citing works
Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home)
Han, X., Scheetz, J., Keel, S., Liao, C., Liu, C., Jiang, Y., Müller, A., Meng, W., & He, M. (2019) · Translational Vision Science & Technology · doi:10.1167/tvst.8.4.27 · Cited by 66 · see citing works
Ameyaw, E. K., Amoah, P. A., & Ezezika, O. C. (2024) · Journal of Medical Internet Research · doi:10.2196/49510 · Cited by 80 · see citing works
Evaluation of Border Entry Screening for Infectious Diseases in Humans
Selvey, L. A., Antão, C., & Hall, R. (2014) · Emerging infectious diseases · doi:10.3201/eid2102.131610 · Cited by 64 · see citing works
Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies
Vandenberg, O., Durand, G., Hallin, M., Diefenbach, A., Gant, V. A., Murray, P. R., Kozlakidis, Z., & van Belkum, A. (2020) · Clinical Microbiology Reviews · doi:10.1128/cmr.00057-19 · Cited by 67 · see citing works
Schuttner, L., Sindano, N., Theis, M., Zue, C., Joseph, J., Chilengi, R., Chi, B. H., Stringer, J. S. A., & Chintu, N. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0240 · Cited by 58 · see citing works
Bott, N. T., Hall, A., Madero, E. N., Glenn, J. M., Fuseya, N., Gills, J. L., & Gray, M. (2019) · Nutrients · doi:10.3390/nu11092258 · Cited by 54 · see citing works
Zhao, Y., Zhu, X., Pérez, A. E., Zhang, W., Shi, A., Zhang, Z., Gao, P., Wang, J., Yang, P., Zaller, N. D., et al. (2018) · BMC Public Health · doi:10.1186/s12889-018-6046-9 · Cited by 52 · see citing works
Personal health technology: A new era in cardiovascular disease prevention
Franklin, N. C., Lavie, C. J., & Arena, R. A. (2015) · Postgraduate Medicine · doi:10.1080/00325481.2015.1015396 · Cited by 53 · see citing works
Association between HIV/AIDS knowledge and stigma towards people living with HIV/AIDS in Botswana
Letshwenyo-Maruatona, S., Madisa, M., Boitshwarelo, T., George-Kefilwe, B., Kingori, C., Ice, G. H., Bianco, J. A., Marape, M., & Haile, Z. T. (2019) · African Journal of AIDS Research · doi:10.2989/16085906.2018.1552879 · Cited by 52 · see citing works
Parks, M., Wang, Z., & Siu, K. (2019) · Physical Therapy · doi:10.1093/ptj/pzz097 · Cited by 50 · see citing works
The Diabetic Retinopathy Screening Workflow
Bolster, N. M., Giardini, M., & Bastawrous, A. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815617969 · Cited by 47 · see citing works
Self-citationMagklara, E., Stephan, B. C. M., & Robinson, L. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4969 · Cited by 47 · see citing works
Novel versatile smart phone based Microplate readers for on-site diagnoses
Fu, Q., Wu, Z., Li, X., Yao, C., Yu, S., Xiao, W., & Tang, Y. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.03.049 · Cited by 46 · see citing works
Abashev, A., Grigoryev, R. A., Grigorian, K., & Boyko, V. (2016) · BioNanoScience · doi:10.1007/s12668-016-0376-9 · Cited by 45 · see citing works
English, L. L., Dunsmuir, D., Kumbakumba, E., Ansermino, J. M., Larson, C. P., Lester, R., Barigye, C., Ndamira, A., Kabakyenga, J., & Wiens, M. O. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.5167 · Cited by 40 · see citing works
Using artificial intelligence technology to fight COVID-19: a review
Peng, Y., Liu, E., Peng, S., Chen, Q., Li, D., & Lian, D. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10106-z · Cited by 45 · see citing works
Challenges and opportunities of artificial intelligence in African health space
Alaran, M., Lawal, S. K., Jiya, M. H., Egya, S. A., Ahmed, M. M., Abdulsalam, A., Haruna, U. A., Musa, M. K., & Lucero‐Prisno, D. E. (2025) · Digital Health · doi:10.1177/20552076241305915 · Cited by 45 · see citing works
Garnett, C. V., Crane, D., Michie, S., West, R., & Brown, J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3140-8 · Cited by 42 · see citing works
Ahluwalia, I. B., Tripp, A., Dean, A. K., Mbulo, L., Arrazola, R. A., Twentyman, E., & King, B. A. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.04.029 · Cited by 41 · see citing works
Khanal, S., Burgon, J., Leonard, S. A., Griffiths, M., & Eddowes, L. A. (2015) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2014.0194 · Cited by 38 · see citing works
Stanton, M. C., Molineux, A., Mackenzie, C. D., & Kelly‐Hope, L. A. (2016) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.5064 · Cited by 37 · see citing works
Sarfo, F. S., Treiber, F., Jenkins, C., Patel, S., Gebregziabher, M., Singh, A., Sarfo-Kantanka, O., Saulson, R., Appiah, L., Oparebea, E., et al. (2016) · Trials · doi:10.1186/s13063-016-1557-0 · Cited by 37 · see citing works
Mekonnen, Z. A., Gelaye, K. A., Were, M. C., & Tilahun, B. C. (2021) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2020-100193 · Cited by 36 · see citing works
Rajan, J. V., Moura, J., Gourley, G., Kiso, K., Sizilio, A., Cortez, A. M., Riley, L. W., Veras, M. A., & Sarkar, U. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0385-1 · Cited by 28 · see citing works
Grady, A., Pearson, N., Lamont, H., Leigh, L., Wolfenden, L., Barnes, C., Wyse, R., Finch, M., McLaughlin, M. J., Delaney, T. M., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/47987 · Cited by 38 · see citing works
Nguyen, N. P., Vinh‐Hung, V., Baumert, B. G., Zamagni, A., Arenas, M., Motta, M., Lara, P. C., Myint, A. S., Bonet, M., Popescu, T., et al. (2020) · Cancers · doi:10.3390/cancers12051287 · Cited by 33 · see citing works
Breaking Barriers: Mobile Health Interventions for Cardiovascular Disease
Klimis, H., Thakkar, J., & Chow, C. K. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.02.012 · Cited by 40 · see citing works
Predicting cardiovascular disease risk using photoplethysmography and deep learning
Weng, W., Baur, S., Daswani, M., Chen, C., Harrell, L., Kakarmath, S. S., Jabara, M., Behsaz, B., McLean, C. Y., Matias, Y., et al. (2024) · PLOS Global Public Health · doi:10.1371/journal.pgph.0003204 · Cited by 38 · see citing works
Endehabtu, B. F., Weldeab, A. N., Were, M. C., Lester, R. T., Worku, A., & Tilahun, B. C. (2018) · JMIR Pediatrics and Parenting · doi:10.2196/pediatrics.9618 · Cited by 31 · see citing works
Mekuria, L. A., de Wit, T. F. R., Spieker, N., Koech, R., Nyarango, R., Ndwiga, S., Fenenga, C., Ogink, A., Schultsz, C., & Hoog, A. H. V. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222651 · Cited by 31 · see citing works
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 · see citing works
Willingness to Use Mobile Health in Glaucoma Patients
Dai, M., Xu, J., Lin, J., Wang, Z., Huang, W., & Huang, J. (2017) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2016.0254 · Cited by 32 · see citing works
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 29 · see citing works
RetractedThe Healthcare System Perspective in mHealth
Paglialonga, A., Patel, A. A., Pinto, E., Mugambi, D., & Keshavjee, K. (2019) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-02182-5_9 · Cited by 29 · see citing works
Saare, M. A., Hussain, A., & Yue, W. S. (2019) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v13i10.11285 · Cited by 28 · see citing works
The Role of Mobile Health in Elderly Populations
Gilbert, B. J., Goodman, E. B., Chadda, A., Hatfield, D. P., Forman, D. E., & Panch, T. (2015) · Current Geriatrics Reports · doi:10.1007/s13670-015-0145-6 · Cited by 28 · see citing works
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 28 · see citing works
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 · see citing works
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 · see citing works
Android mobile applications in eye care
Theruveethi, N., Karthikeyan, S., Thangarajan, R., & Srinivasan, K. (2019) · Oman Journal of Ophthalmology · doi:10.4103/ojo.ojo_226_2018 · Cited by 26 · see citing works
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 · see citing works
Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review
Delaney, T. M., McLaughlin, M. J., Hall, A. E., Yoong, S. L., Brown, A., O’Brien, K. M., Dray, J., Barnes, C., Hollis, J., Wyse, R., et al. (2021) · Nutrients · doi:10.3390/nu13093281 · Cited by 27 · see citing works
Implementing a School Vision Screening Program in Botswana Using Smartphone Technology
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 · see citing works
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 · see citing works
Método de valoración de aplicaciones móviles de salud en español: el índice iSYScore
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 · see citing works
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 · see citing works
Sandholzer, M., Rurik, I., Deutsch, T., & Frese, T. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0125-y · Cited by 25 · see citing works
Sreejith, G., & Menon, V. (2019) · Indian Journal of Psychological Medicine · doi:10.4103/ijpsym.ijpsym_333_18 · Cited by 24 · see citing works
How the smartphone is driving the eye-health imaging revolution
Bolster, N. M., Giardini, M., Livingstone, I. A. T., & Bastawrous, A. (2014) · Expert Review of Ophthalmology · doi:10.1586/17469899.2014.981532 · Cited by 23 · see citing works
Self-citationYepes, M., Maurer, J., Viswanathan, B., Gédéon, J., & Bovet, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5592 · Cited by 24 · see citing works
Morjaria, P., Bastawrous, A., Murthy, G. V. S., Evans, J. R., & Gilbert, C. E. (2017) · Trials · doi:10.1186/s13063-017-1888-5 · Cited by 24 · see citing works
Self-citationYbarra, M. L., Agaba, E., Chen, E., & Nyemara, N. (2020) · AIDS and Behavior · doi:10.1007/s10461-020-02795-4 · Cited by 23 · see citing works
Agile Application of Digital Health Interventions during the COVID-19 Refugee Response
Narla, N. P., Sürmeli, A., & Kivlehan, S. M. (2020) · Annals of Global Health · doi:10.5334/aogh.2995 · Cited by 23 · see citing works
Haldeman, S., Nordin, M. C., Tavares, P., Mullerpatan, R., Kopansky-Giles, D. R., Setlhare, V., Chou, R., Hurwitz, E. L., Treanor, C., Hartvigsen, J., et al. (2021) · JMIR Public Health and Surveillance · doi:10.2196/25484 · Cited by 21 · see citing works
Xie, B., Su, Z., Zhang, W., & Cai, R. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8549 · Cited by 21 · see citing works
Ovbiagele, B. I. (2014) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2014.08.011 · Cited by 21 · see citing works
Rana, R. H., Alam, K., & Gow, J. (2019) · Information Technology for Development · doi:10.1080/02681102.2019.1678455 · Cited by 19 · see citing works
Winders, W. T., Garbern, S. C., Bills, C. B., Relan, P., Schultz, M. L., Trehan, I., Kivlehan, S. M., Becker, T. K., & McQuillan, R. (2021) · Journal of Global Health · doi:10.7189/jogh.11.04023 · Cited by 20 · see citing works
Delivering epilepsy care in low-resource settings: the role of technology
Ali, A., Dindoust, D., Grant, J., & Clarke, D. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.2013198 · Cited by 20 · see citing works
One-Year Rates and Determinants of Poststroke Systolic Blood Pressure Control among Ghanaians
Sarfo, F. S., Kyem, G., Ovbiagele, B., Akassi, J., Sarfo‐Kantanka, O., Agyei, M. K., Badu, E., & Mensah, N. A. (2016) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2016.08.033 · Cited by 19 · see citing works
Mekuria, L. A., de Wit, T. F. R., Spieker, N., Koech, R., Nyarango, R., Ndwiga, S., Fenenga, C., Ogink, A., Schultsz, C., & Hoog, A. H. V. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225846 · Cited by 19 · see citing works
Barriers to Surgical Care at a Tertiary Hospital in Kigali, Rwanda
Dworkin, M. S., Cyuzuzo, T., Hategekimana, J. D. D., Katabogama, J. B., Ntirenganya, F., & Rickard, J. (2020) · Journal of Surgical Research · doi:10.1016/j.jss.2019.12.045 · Cited by 20 · see citing works
Holly, S., Jantzi, H. A., Seabrook, J. A., McEachern, L. W., Burke, S. M., Irwin, J. D., & Gilliland, J. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad058 · Cited by 18 · see citing works
Ali, J., DiStefano, M. J., McCall, I. C., Gibson, D. G., Kibria, G. M. A., Pariyo, G. W., Labrique, A. B., & Hyder, A. A. (2019) · Global Public Health · doi:10.1080/17441692.2019.1566482 · Cited by 18 · see citing works
Jadhav, A., & Weis, J. (2019) · Contraception · doi:10.1016/j.contraception.2019.10.004 · Cited by 21 · see citing works
Secondary Overtriage of Trauma Patients to a Central Hospital in Malawi
Maine, R. G., Kajombo, C., Mulima, G., Kincaid, J. A., Purcell, L. N., Gallaher, J. R., Reid, T. D. S., & Charles, A. G. (2020) · World Journal of Surgery · doi:10.1007/s00268-020-05426-0 · Cited by 18 · see citing works
Kabir, M. F., Schulman, D. J., & Abdullah, A. S. M. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1360-z · Cited by 17 · see citing works
Groat, D., Soni, H., Grando, A., Thompson, B., Kaufman, D. R., & Cook, C. B. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1660438 · Cited by 17 · see citing works
Constructing an assessment framework for the quality of asthma smartphone applications
Guan, Z., Sun, L., Xiao, Q., & Wang, Y. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0923-8 · Cited by 17 · see citing works
Stephenson, A., García-Constantino, M., McDonough, S., MURPHY, M. H., Nugent, C., & Mair, J. L. (2020) · Digital Health · doi:10.1177/2055207620913410 · Cited by 14 · see citing works
Mendoza, J., Seguin, M., Lasco, G., Palileo-Villanueva, L., Amit, A. M. L., Renedo, A., Mckee, M., Palafox, B., & Balabanova, D. (2021) · International Journal of Qualitative Methods · doi:10.1177/16094069211002746 · Cited by 19 · see citing works
Wali, S., Hussain‐Shamsy, N., Ross, H. J., & Cafazzo, J. A. (2019) · JMIR mhealth and uhealth · doi:10.2196/14275 · Cited by 16 · see citing works
- 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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