The Case for mHealth in Developing Countries
Open accessAbstract
While the health community debates whether a specialized field of "mHealth" exists and how to define it, most people will agree that individuals around the world are using mobile technologies to access health services and information and that health professionals are formally and informally integrating mobile technologies into public health and clinical activities.As mobile phones and other mobile devices become part of everyday life, people become better equipped to respond to emergencies, consult with peers and health professionals about health issues as they arise, and access health services that are increasingly being delivered through mobile phone based systems, such as remote patient monitoring.In developing countries, people frequently acquire mobile phones just in case of emergencies, including a taxi driver I interviewed in Upper Egypt in 2002, who shared the following experience with me:There had been an accident on the highway to Samalut: … a taxi .. turned upside down.That was two years ago, and the news had spread, and on that day I was working, and I returned late.I found my wife in a hysterical condition and when I asked her what was wrong, she told me that she didn't know my whereabouts, and she heard that there was a taxi accident, and that I was late.So at that moment I felt that the mobile would be useful.(Mechael, 2006, p. 126) The term mobile health or mHealth, also written as m-health, describes the use of mobile telecommunication and multimedia technologies as they are integrated within increasingly mobile and wireless health care delivery systems (Istepanian & Lacal, 2003).It can also be described as "mobile computing, medical sensor, and communications technologies for health care" (Istepanian, 2004).While the term is familiar to those in biomedicine and informatics, it is only now being clearly defined and frameworks are being developed for the broader medical and public health communities, as well as for the general public and stakeholders in the mobile phone industry.
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mHealth can support the performance of health care workers by disseminating clinical updates, learning materials, and reminders, particularly in underserved rural locations in low- and middle-income countries where community health workers deliver integrated community case management to children with diarrhea, pneumonia, and malaria.
“mHealth can also support the performance of health care workers by the dissemination of clinical updates, learning materials, and reminders [3], particularly in underserved rural locations in low- and middle-income countries where community health workers deliver ICCM to children sick with diarrhea, pneumonia, and malaria [3,4].”
From Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review (2013) · cites this paper as [3]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredFor mHealth success, cooperation between local communities and regional and national health information systems is essential.
“For mHealth success, cooperation between local communities and regional and national health information systems is essential [3,58,59].”
From Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review (2013) · cites this paper as [3]
In “mHEALTH WITHIN mSERVICES” (page unavailable), the paper recommends partnerships for scaling mHealth and describes linking household and clinic data to a district health information system. This supports connecting local activity with wider systems, but the paper says such partnerships will “likely contribute” to scalability; it does not establish cooperation between local communities and regional and national systems as essential for success. (LLM, conf=0.84)
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Cites
The World Health report 2006 1 : Working together for health 2
Guilbert, J.-J. (2006) · Education for Health · doi:10.1080/13576280600937911 · Cited by 2,657 · see citing works
The mobile connection: the cell phone's impact on society
(2004) · Choice Reviews Online · doi:10.5860/choice.42-1907 · Cited by 1,311 · see citing works
Fendall, N. R. E. (1978) · The Lancet · doi:10.1016/s0140-6736(78)92066-4 · Cited by 1,096 · see citing works
Istepanian, R. S. H., Jovanov, E., & Zhang, Y. T. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.840019 · Cited by 766 · see citing works
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
Service quality of mHealth platforms: development and validation of a hierarchical model using PLS
Akter, S., D’Ambra, J., & RAY, P. K. (2010) · Electronic Markets · doi:10.1007/s12525-010-0043-x · Cited by 209 · see citing works
Constant touch: a global history of the mobile phone
(2014) · Choice Reviews Online · doi:10.5860/choice.51-4484 · Cited by 203 · see citing works
Emerging mobile communication technologies for health: some imperative notes on m-health
Istepanian, R. S. H., & Lacal, J. C. (2004) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2003.1279581 · Cited by 163 · see citing works
HIV/AIDS mitigation strategies and the State in sub-Saharan Africa – the missing link?
Mohiddin, A., & Johnston, D. (2006) · Globalization and Health · doi:10.1186/1744-8603-2-1 · Cited by 89 · see citing works
Harrison, G. G., Zaghloul, S., Galal, O., & Gabr, A. (1993) · Social Science & Medicine · doi:10.1016/0277-9536(93)90124-m · Cited by 57 · see citing works
Martin, G. (2005) · Globalization and Health · doi:10.1186/1744-8603-1-1 · Cited by 50 · see citing works
Delivery of MDG 5 by active management with data
Shankar, A. H., Bartlett, L., Fauveau, V., Islam, M., & Terreri, N. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60536-x · Cited by 29 · see citing works
Telecommunications, Public Health, and Demand for Health-Related Information and Infrastructure
Scharf, M. M. (2005) · Information Technologies and International Development · doi:10.1162/1544752054782466 · Cited by 19 · see citing works
Flagged first, then by citations
1 of the 14 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Fuscaldo, D. (December 15, 2004). "Soon, Cellphones Will Monitor the Vital Signs of the Chronically Ill." The Wall Street Journal On-line. http://www.wirelesslifesciences.org/pdfs/WSJ1_12152004_Cellphones.pdf
- Lacal, J. (2003). "Cell Phones and telemedicine." Paper presented at the Fifth International Workshop on Enterprise Networking and Computing in the Healthcare Industry, Santa Monica, California.
- Mechael, P. (2006). Exploring Health-related Uses of Mobile Phones: An Egyptian Case Study. PhD Thesis completed at London School of Hygiene and Tropical Medicine.
- Mechael, P. and D. Sloninsky (2008). "Towards the Development of an mHealth Strategy: A Literature Review." Working paper. New York: Earth Institute at Columbia University.
Cited by
Sorted by citations
Källander, K., Tibenderana, J. K., Akpogheneta, O. J., Strachan, D. L., Hill, Z., ten Asbroek, A. H. A., Conteh, L., Kirkwood, B. R., & Meek, S. R. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2130 · Cited by 653 · see citing works
Comparison of the middle-aged and older users’ adoption of mobile health services in China
Deng, Z., Mo, X., & Liu, S. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.12.002 · Cited by 435 · see citing works
Akter, S., D’Ambra, J. D., & RAY, P. K. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21442 · Cited by 386 · see citing works
Gurman, T. A., Rubin, S. E., & Roess, A. A. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649160 · Cited by 331 · see citing works
Tamrat, T., & Kachnowski, S. (2012) · Maternal and Child Health Journal · doi:10.1007/s10995-011-0836-3 · Cited by 312 · see citing works
Development and validation of an instrument to measure user perceived service quality of mHealth
Akter, S., D’Ambra, J., & RAY, P. K. (2013) · Information & Management · doi:10.1016/j.im.2013.03.001 · Cited by 276 · see citing works
The dark side of elderly acceptance of preventive mobile health services in China
Guo, X., Sun, Y., Wang, N., Peng, Z. C., & Yan, Z. (2012) · Electronic Markets · doi:10.1007/s12525-012-0112-4 · Cited by 271 · see citing works
Telehealth in the developing world: current status and future prospects
Scott, R., & Mars, M. (2015) · Smart Homecare Technology and TeleHealth · doi:10.2147/shtt.s75184 · Cited by 231 · see citing works
Dehling, T., Gao, F., Schneider, S., & Sunyaev, A. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3672 · Cited by 243 · see citing works
mHealth - an Ultimate Platform to Serve the Unserved
Akter, S., & RAY, P. K. (2010) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638697 · Cited by 242 · see citing works
Service quality of mHealth platforms: development and validation of a hierarchical model using PLS
Akter, S., D’Ambra, J., & RAY, P. K. (2010) · Electronic Markets · doi:10.1007/s12525-010-0043-x · Cited by 209 · see citing works
Continuance of mHealth services at the bottom of the pyramid: the roles of service quality and trust
Akter, S., RAY, P. K., & D’Ambra, J. D. (2012) · Electronic Markets · doi:10.1007/s12525-012-0091-5 · Cited by 181 · see citing works
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study
Latif, S., Rana, R. K., Qadir, J., Ali, A., Imran, M. A., & Younis, M. S. (2017) · IEEE Access · doi:10.1109/access.2017.2710800 · Cited by 175 · see citing works
eHealth and mHealth initiatives in Bangladesh: A scoping study
Ahmed, T., Lucas, H., Khan, A. S., Islam, R., Bhuiya, A., & Iqbal, M. (2014) · BMC Health Services Research · doi:10.1186/1472-6963-14-260 · Cited by 131 · see citing works
Preventing breast cancer in LMICs via screening and/or early detection: The real and the surreal
Dey, S. (2014) · World Journal of Clinical Oncology · doi:10.5306/wjco.v5.i3.509 · Cited by 117 · see citing works
Devi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P.-A., Li, Y.-C. (., & Jian, W.-S. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.08.003 · Cited by 110 · see citing works
The Economics of eHealth and mHealth
Schweitzer, J., & Synowiec, C. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649158 · Cited by 109 · see citing works
Giunti, G., Kool, J., Rivera-Romero, O., & Zubiete, E. D. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8996 · Cited by 107 · see citing works
A mobile revolution for healthcare? Setting the agenda for bioethics
Lucivero, F., & Jongsma, K. R. (2018) · Journal of Medical Ethics · doi:10.1136/medethics-2017-104741 · Cited by 105 · see citing works
Mobile applications addressing violence against women: a systematic review
Eisenhut, K., Sauerborn, E., García‐Moreno, C., & Wild, V. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2019-001954 · Cited by 102 · see citing works
Reaching Remote Health Workers in Malawi: Baseline Assessment of a Pilot mHealth Intervention
Lemay, N. V., Sullivan, T., Jumbe, B., & Perry, C. P. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649106 · Cited by 96 · see citing works
Enhancing ‘M-Health’ With South-To-South Collaborations
Curioso, W. H., & Mechael, P. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.1057 · Cited by 95 · see citing works
Self-citationSocial innovation for the promotion of health equity: Fig. 1:
Mason, C., Barraket, J., Friel, S., OʼRourke, K., & Stenta, C.-P. (2015) · Health Promotion International · doi:10.1093/heapro/dav076 · Cited by 87 · see citing works
The promise and peril of mHealth in developing countries
Chib, A. (2013) · Mobile Media & Communication · doi:10.1177/2050157912459502 · Cited by 88 · see citing works
Gonzales, A. L., Ems, L., & Suri, V. R. (2014) · New Media & Society · doi:10.1177/1461444814558670 · Cited by 86 · see citing works
Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life
Akter, S., D’Ambra, J. D., RAY, P. K., & Hani, U. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.745606 · Cited by 84 · see citing works
Mixed Method Evaluation of a Passive mHealth Sexual Information Texting Service in Uganda
Jamison, J., Karlan, D., & Raffler, P. (2013) · National Bureau of Economic Research · doi:10.3386/w19107 · Cited by 80 · see citing works
Giunti, G., Fernández, E., Zubiete, E. D., & Rivera-Romero, O. (2018) · JMIR mhealth and uhealth · doi:10.2196/10512 · Cited by 79 · see citing works
Lwin, M. O., Vijaykumar, S., Fernando, O. N. N., Cheong, S. A., Rathnayake, V. S., Lim, G., Theng, Y., Chaudhuri, S., & Foo, S. S.-B. (2013) · Acta Tropica · doi:10.1016/j.actatropica.2013.09.021 · Cited by 72 · see citing works
Khokhar, B. A., Jones, J., Ronksley, P. E., Armstrong, M. J., Caird, J. K., & Rabi, D. M. (2014) · BMC Obesity · doi:10.1186/s40608-014-0022-4 · Cited by 69 · see citing works
Wagan, S. A., Koo, J., Siddiqui, I. F., Attique, M., Shin, D. R., & Qureshi, N. M. F. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.09.005 · Cited by 76 · see citing works
Ilozumba, O., Dieleman, M., Kraamwinkel, N., Van Belle, S., Chaudoury, M., & Broerse, J. E. W. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194927 · Cited by 64 · see citing works
Diez-Canseco, F., Zavala-Loayza, J. A., Beratarrechea, A., Kanter, R., Ramirez-Zea, M., Rubinstein, A., Martinez, H., & Miranda, J. J. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3874 · Cited by 68 · see citing works
Informal mhealth at scale in Africa: Opportunities and challenges
Hampshire, K., Mwase‐Vuma, T., Alemu, K., Abane, A., Munthali, A., Awoke, T., Mariwah, S., Chamdimba, E., Owusu, S. A., Robson, E., et al. (2021) · World Development · doi:10.1016/j.worlddev.2020.105257 · Cited by 67 · see citing works
The routine use of mobile health services in the presence of health consciousness
Meng, F., Guo, X., Peng, Z. C., Zhang, X., & Vogel, D. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100847 · Cited by 70 · see citing works
Grafting: Balancing Control and Cultivation in Information Infrastructure Innovation
Sanner, T. A., Manda, T. D., & Nielsen, P. (2014) · Journal of the Association for Information Systems · doi:10.17705/1jais.00356 · Cited by 63 · see citing works
Kamalakannan, S., Murthy, G., Natarajan, S., Naveen, C., Goenka, S., & Kuper, H. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-009243 · Cited by 63 · see citing works
Tools for App- and Web-Based Self-Testing of Cognitive Impairment: Systematic Search and Evaluation
Charalambous, A. P., Pye, A., Yeung, W. K., Leroi, I., Neil, M., Thodi, C., & Dawes, P. (2019) · Journal of Medical Internet Research · doi:10.2196/14551 · Cited by 64 · see citing works
Shieshia, M., Noel, M., Andersson, S., Felling, B., Alva, S., Agarwal, S., LeFevre, A. E., Misomali, A., Chimphanga, B., Nsona, H., et al. (2014) · Journal of Global Health · doi:10.7189/jogh.04.020406 · Cited by 61 · see citing works
User Perceived Service Quality of mHealth Services in Developing Countries
Akter, S., D’Ambra, J. D., & RAY, P. K. (2010) · Research Online (University of Wollongong) · Cited by 60 · see citing works
Delivering Health Care to the Global Poor: Solving the Accessibility Problem
Epstein, M. J., & Bing, E. G. (2011) · Innovations Technology Governance Globalization · doi:10.1162/inov_a_00073 · Cited by 56 · see citing works
Wu, C.-J., Wu, S.-Y., Chen, P., & Lin, Y. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2959 · Cited by 55 · see citing works
From pilot to scale: towards an mHealth typology for low-resource contexts
Sanner, T. A., Roland, L. K., & Braa, K. (2012) · Health Policy and Technology · doi:10.1016/j.hlpt.2012.07.009 · Cited by 53 · see citing works
Engaging Social Media for Health Communication in Africa:Approaches, Results and Lessons
Fayoyin, A. (2016) · Journal of Mass Communication and Journalism · doi:10.4172/2165-7912.1000315 · Cited by 52 · see citing works
Ginossar, T., Shah, S. F. A., West, A. J., Bentley, J. M., Caburnay, C. A., Kreuter, M. W., & Kinney, A. Y. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7073 · Cited by 52 · see citing works
Assessing m-Health success in Bangladesh
Hossain, M. A. (2016) · Journal of Enterprise Information Management · doi:10.1108/jeim-02-2014-0013 · Cited by 50 · see citing works
Yasmin, F., Nahar, N., Banu, B., Ali, L., Sauerborn, R., & Souares, A. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05387-z · Cited by 48 · see citing works
Nwaozuru, U., Obiezu‐Umeh, C., Shato, T., Uzoaru, F., Mason, S., Carter, V., Manu, S., Modi, K., Parker, J., Ezechi, O., et al. (2021) · Implementation Science Communications · doi:10.1186/s43058-021-00230-w · Cited by 46 · see citing works
Mifsud, À., Pehlivan, M. J., Fam, P., O'Grady, M., van Steensel, A., Elder, E., Gilchrist, J., & Sherman, K. (2021) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2021.1929236 · Cited by 45 · see citing works
Digital health, gender and health equity: invisible imperatives
Sinha, C., & Schryer-Roy, A.-M. (2018) · Journal of Public Health · doi:10.1093/pubmed/fdy171 · Cited by 42 · see citing works
mHealth for Influenza Pandemic Surveillance in Developing Countries
Li, J., Moore, N., Akter, S., Bleisten, S., & RAY, P. K. (2010) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2010.274 · Cited by 40 · see citing works
Kohrt, B. A., Rai, S., Vilakazi, K., Thapa, K., Bhardwaj, A., & van Heerden, A. (2019) · JMIR Pediatrics and Parenting · doi:10.2196/12366 · Cited by 29 · see citing works
Yasmin, F., Ali, L., Banu, B., Rasul, F. B., Sauerborn, R., & Souares, A. (2020) · BMC Health Services Research · doi:10.1186/s12913-019-4811-9 · Cited by 37 · see citing works
Müthing, J., Jäschke, T., & Friedrich, C. M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7791 · Cited by 36 · see citing works
Privacy Risks and Security Threats in mHealth apps
Sampat, B. H., & Prabhakar, B. (2017) · Journal of International Technology and Information Management · doi:10.58729/1941-6679.1353 · Cited by 35 · see citing works
Nahar, P., Kannuri, N. K., Mikkilineni, S., Murthy, G. V. S., & Phillimore, P. (2017) · Anthropology and Medicine · doi:10.1080/13648470.2016.1263824 · Cited by 35 · see citing works
Collecting Integrated Disease Surveillance and Response Data through Mobile Phones
Pascoe, L., Kaasbøll, J., Lungo, J. H., & Koleleni, I. (2012) · Cited by 33 · see citing works
Mangkunegara, C. N., Azzahro, F., & Handayani, P. W. (2018) · International Conference on Advanced Computer Science and Information Systems · doi:10.1109/icacsis.2018.8618174 · Cited by 37 · see citing works
Khairat, S., Liu, S., Zaman, T., Edson, B. S., & Gianforcaro, R. (2019) · JMIR mhealth and uhealth · doi:10.2196/13772 · Cited by 33 · see citing works
Brandt, L. R., Hidalgo, L., Diez-Canseco, F., Araya, R., Mohr, D. C., Menezes, P. R., & Miranda, J. J. (2019) · JMIR Mental Health · doi:10.2196/11701 · Cited by 32 · see citing works
Istepanian, R. S. H., & Alanzi, T. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816034-3.00022-5 · Cited by 32 · see citing works
Medhanyie, A. A., Spigt, M., Yebyo, H. G., Little, A., Gebremariam, K. T., Dinant, G., & Blanco, R. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.01.016 · Cited by 31 · see citing works
Mueller, S., Soriano, D., Boscor, A., Saville, N. M., Arjyal, A., Baral, S., Fordham, M., Hearn, G. J., Masson, V. L., Kayastha, R., et al. (2020) · BMC Public Health · doi:10.1186/s12889-020-09246-8 · Cited by 31 · see citing works
Mobile health adoption in Burundi: A UTAUT perspective
Ndayizigamiye, P., & Maharaj, M. (2016) · IEEE Global Humanitarian Technology Conference · doi:10.1109/ghtc.2016.7857342 · Cited by 19 · see citing works
Gerdts, C., Jayaweera, R., Kristianingrum, I. A., Khan, Z., & Hudaya, I. (2019) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.13086 · Cited by 30 · see citing works
Overcoming the barriers of mobile health that hamper sustainability in low-resource environments
Greve, M., Brendel, B., van Osten, N., & Kolbe, L. M. (2021) · Journal of Public Health · doi:10.1007/s10389-021-01536-8 · Cited by 32 · see citing works
Contextual Barriers to Mobile Health Technology in African Countries: A Perspective Piece
O’Connor, Y., & Donoghue, J. O. (2015) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.4.1.7 · Cited by 28 · see citing works
User evaluation of a novel SMS-based reminder system for supporting post-stroke rehabilitation
Fors, U., Kamwesiga, J. T., Eriksson, G. M., von Koch, L., & Guidetti, S. G. E. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0847-3 · Cited by 30 · see citing works
Motamarri, S., Akter, S., RAY, P. K., & Tseng, C. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03434 · Cited by 28 · see citing works
Zappa: An Open Mobile Platform to Build Cloud-Based m-Health Systems
Ruíz-Zafra, Á., Benghazi, K., Noguera, M., & Garrido, J. L. G. (2013) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-00566-9_12 · Cited by 28 · see citing works
MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector
Al-Azzam, M. K. A., Alazzam, M. B., & Khalid, M. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0100547 · Cited by 28 · see citing works
Modeling Users’ Empowerment in E-Health Systems
Anshari, M., Almunawar, M. N., Younis, M. Z., & Kısa, A. (2021) · Sustainability · doi:10.3390/su132312993 · Cited by 28 · see citing works
Empowerment through health self-testing apps? Revisiting empowerment as a process
Kapeller, A., & Loosman, I. (2023) · Medicine Health Care and Philosophy · doi:10.1007/s11019-022-10132-w · Cited by 28 · see citing works
Batool, A., Razaq, S., Javaid, M., Fatima, B., & Toyama, K. (2017) · International Conference on Information and Communication Technologies and Development (ICTD) · doi:10.1145/3136560.3136573 · Cited by 29 · see citing works
Limaye, N. P., Rivas-Nieto, A. C., Cárcamo, C., & Blas, M. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205673 · Cited by 27 · see citing works
McCollum, E. D., King, C., Hollowell, R., Zhou, J., Colbourn, T., Nambiar, B., Mukanga, D., & Burgess, D. C. H. (2015) · BMC Pediatrics · doi:10.1186/s12887-015-0392-x · Cited by 26 · see citing works
3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study
Giunti, G. (2018) · JMIR Serious Games · doi:10.2196/11631 · Cited by 26 · see citing works
Mobile Phone Messaging to Husbands to Improve Maternal and Child Health Behavior in India
Hazra, A., Khan, M. E., & Mondal, S. K. (2018) · Journal of Health Communication · doi:10.1080/10810730.2018.1483444 · Cited by 24 · see citing works
Knowledge and skill retention of a mobile phone data collection protocol in rural Liberia
Munro, M. L., Lori, J. R., Boyd, C. J., & Andreatta, P. (2014) · Journal of Midwifery & Women's Health · doi:10.1111/jmwh.12155 · Cited by 23 · see citing works
C-SMART: Efficient seamless cellular phone based patient monitoring system
Blumrosen, G., Avisdris, N., Kupfer, R., & Rubinsky, B. (2011) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2011.5986191 · Cited by 22 · see citing works
mHealth for the control of TB/HIV in developing countries
Bakshi, A., Narasimhan, P., Li, J., Chernih, N., RAY, P. K., & MacIntyre, C. R. (2011) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/health.2011.6026797 · Cited by 21 · see citing works
mHealth in Bangladesh: Current Status and Future Development
Alam, M. Z. (2018) · The International Technology Management Review · doi:10.2991/itmr.2018.7.2.1 · Cited by 21 · see citing works
Lemay, N. V., & Bocock, P. J. W. (2012) · Journal of Health Communication · doi:10.1080/10810730.2012.666623 · Cited by 20 · see citing works
Friedman, M., Chiu, C. J., Croft, C., Guadamuz, T. E., Stall, R. D., & Marshal, M. P. (2016) · Journal of Empirical Research on Human Research Ethics · doi:10.1177/1556264615624809 · Cited by 20 · see citing works
Curwen, P. J., & Whalley, J. (2011) · Info · doi:10.1108/14636691111121638 · Cited by 19 · see citing works
Exploring Sub-Saharan Africa’s Communication of COVID-19-Related Health Information on Social Media
Asubiaro, T., Badmus, O. M., Ikenyei, U., Popoola, B. O., & Igwe, E. G. (2021) · Libri · doi:10.1515/libri-2020-0097 · Cited by 19 · see citing works
Wearables, the Marketplace and Efficiency in Healthcare: How Will I Know That You’re Thinking of Me?
Howard, M. (2021) · Philosophy & Technology · doi:10.1007/s13347-021-00473-4 · Cited by 18 · see citing works
Open data kit (ODK) in crop farming: mobile data collection for seed yam tracking in Ibadan, Nigeria
Ouma, T., Kavoo, A. M., Wainaina, C. M., Ogunya, B., Karanja, M., Kumar, P. L., & Shah, T. M. (2019) · Journal of Crop Improvement · doi:10.1080/15427528.2019.1643812 · Cited by 18 · see citing works
mHealth: A Sustainable Healthcare Model for Developing World
Jahan, S., & Chowdhury, M. (2014) · American Journal of Modeling and Optimization · doi:10.12691/ajmo-2-3-2 · Cited by 18 · see citing works
Mariwah, S., Abane, A., Owusu, S. A., Kasim, A., Robson, E., Castelli, M., & Hampshire, K. (2021) · Global Public Health · doi:10.1080/17441692.2021.1874467 · Cited by 18 · see citing works
Bramo, S. S., Desta, A., & Syedda, M. (2022) · Digital Health · doi:10.1177/20552076221131144 · Cited by 18 · see citing works
Chaudhuri, A., Prætorius, T., Narayanamurthy, G., Hasle, P., & Pereira, V. E. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121184 · Cited by 16 · see citing works
Current Landscape and Potential of Mobile Computing Research in the Least Developed Countries
Imran, A., Quimno, V., & Hussain, M. (2016) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/j.1681-4835.2016.tb00539.x · Cited by 16 · see citing works
Laar, A. S., Harris, M. L., Shifti, D. M., & Loxton, D. J. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08512-2 · Cited by 17 · see citing works
Chakraborty, D. (2020) · foresight · doi:10.1108/fs-11-2019-0098 · Cited by 15 · see citing works
van Velthoven, M. H., Li, Y., Wang, W., Chen, L., Du, X., Wu, Q., Zhang, Y., Rudan, I., & Car, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116216 · Cited by 14 · see citing works
Beratarrechea, A., Diez-Canseco, F., Fernández, A., Kanter, R., Letona, P., Martinez, H., Miranda, J. J., Ramirez-Zea, M., & Rubinstein, A. (2015) · Revista Peruana de Medicina Experimental y Salud Pública · doi:10.17843/rpmesp.2015.322.1611 · Cited by 13 · see citing works
Herman, H., Grobbelaar, S. S. S., & Pistorius, C. W. I. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1028-0 · Cited by 15 · see citing works
Casilang, C. G., Stonbraker, S., Japa, I., Halpern, M., Messina, L., Steenhoff, A. P., Lowenthal, E. D., & Fleisher, L. G. (2020) · JMIR Pediatrics and Parenting · doi:10.2196/20312 · Cited by 13 · see citing works
Ticha, J. M., Akpan, G. U., Paige, L. M., Senouci, K., Stein, A., Briand, P., Tuma, J. N., Oyaole, D. R., Ngofa, R. O., Maleghemi, S., et al. (2020) · JMIR Public Health and Surveillance · doi:10.2196/18950 · Cited by 13 · see citing works
- Authors
- Mechael, P. N.
- Affiliations
- Columbia University (US)
- Corresponding author
- Mechael, Patricia N.
- ORCID
- Mechael, Patricia N.
- Venue
- Innovations: Technology, Governance, Globalization
- Publisher
- MIT Press - Journals
- Published
- 2009-01
- Volume
- 4
- Issue
- 1
- Pages
- 103-118
- ISSN
- 1558-2477 (ISSN-L)
- 1558-2485
- OpenAlex
- W2049126189
- Cited by
- 223
- References
- 14
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 5 · 2023: 12 · 2022: 13 · 2021: 14 · 2020: 19 · 2019: 16 · 2018: 18 · 2017: 19 · 2016: 11 · 2015: 14 · 2014: 18 · 2013: 18 · 2012: 16
- FWCI
- 20.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Innovations Technology Governance Globalization (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- 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, mobile devices, developing countries, remote patient monitoring, health information access, emergency communication
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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