Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries?
Open accessAbstract
BACKGROUND: The ongoing policy debate about the value of communications technology in promoting development objectives is diverse. Some view computer/web/phone communications technology as insufficient to solve development problems while others view communications technology as assisting all sections of the population. This paper looks at evidence to support or refute the idea that fixed and mobile telephones is, or could be, an effective healthcare intervention in developing countries. METHODS: A Web-based and library database search was undertaken including the following databases: MEDLINE, CINAHL, (nursing & allied health), Evidence Based Medicine (EBM), POPLINE, BIOSIS, and Web of Science, AIDSearch (MEDLINE AIDS/HIV Subset, AIDSTRIALS & AIDSDRUGS) databases. RESULTS: Evidence can be found to both support and refute the proposition that fixed and mobile telephones is, or could be, an effective healthcare intervention in developing countries. It is difficult to generalize because of the different outcome measurements and the small number of controlled studies. There is almost no literature on using mobile telephones as a healthcare intervention for HIV, TB, malaria, and chronic conditions in developing countries. Clinical outcomes are rarely measured. Convincing evidence regarding the overall cost-effectiveness of mobile phone " telemedicine" is still limited and good-quality studies are rare. Evidence of the cost effectiveness of such interventions to improve adherence to medicines is also quite weak. CONCLUSION: The developed world model of personal ownership of a phone may not be appropriate to the developing world in which shared mobile telephone use is important. Sharing may be a serious drawback to use of mobile telephones as a healthcare intervention in terms of stigma and privacy, but its magnitude is unknown. One advantage, however, of telephones with respect to adherence to medicine in chronic care models is its ability to create a multi-way interaction between patient and provider(s) and thus facilitate the dynamic nature of this relationship. Regulatory reforms required for proper operation of basic and value-added telecommunications services are a priority if mobile telecommunications are to be used for healthcare initiatives.
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Pilot sample size was based on pragmatics of recruitment and requisites for examining feasibility.
“As indicated by Kraemer and colleagues, 33 our pilot sample size was based on the pragmatics of recruitment and the requisites for examining feasibility.”
From A Pilot Randomized Controlled Trial to Assess the Impact of Motivational Interviewing on Initiating Behavioral Therapy for Migraine (2020) · cites this paper as [33]
The Conclusion describes the studies it reviews as small pilot or feasibility studies, but does not explain how a pilot sample size was chosen. Searches for recruitment pragmatics, feasibility requirements, and sample-size determination found no passage addressing the cited rationale. (LLM, conf=0.76)
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Systematic review of evidence for the benefits of telemedicine
Hailey, D., Roine, R., & Ohinmaa, A. (2002) · Journal of Telemedicine and Telecare · doi:10.1258/1357633021937604 · Cited by 400 · see citing works
College Smoking-Cessation Using Cell Phone Text Messaging
Obermayer, J. L., Riley, W. T., Asif, O., & Jean-Mary, J. (2004) · Journal of American College Health · doi:10.3200/jach.53.2.71-78 · Cited by 321 · see citing works
Anhøj, J., & Møldrup, C. (2004) · Journal of Medical Internet Research · doi:10.2196/jmir.6.4.e42 · Cited by 238 · see citing works
Revere, D., & Dunbar, P. J. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080062 · Cited by 208 · see citing works
Improving Asthma Control Through Telemedicine: A Study of Short-Message Service
Ostojic, V., Cvoriscec, B., Ostojic, S. B., Reznikoff, D., Stipic-Markovic, A., & Tudjman, Z. (2005) · Telemedicine and e-Health · doi:10.1089/tmj.2005.11.28 · Cited by 183 · see citing works
Mobile phone text messaging in the management of diabetes
Ferrer-Roca, O., Cárdenas, A., Diaz-Cardama, A., & Pulido, P. (2004) · Journal of Telemedicine and Telecare · doi:10.1258/1357633042026341 · Cited by 171 · see citing works
Development of web-based diabetic patient management system using short message service [SMS]
Kwon, H.-S., Cho, J.-H., Kim, H.-S., Lee, J.-H., Song, B.-R., Oh, J.-A., Han, J.-H., Kim, H.-S., Cha, B.-Y., Lee, K.-W., et al. (2004) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2003.10.028 · Cited by 147 · see citing works
Bielli, E., Carminati, F., La Capra, S., Lina, M., Brunelli, C., & Tamburini, M. (2004) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-4-7 · Cited by 79 · see citing works
Flagged first, then by citations
Research works printed but not linked: 40
- Donner J Research Approaches to Mobile Phone Use in the Developing World: A Review of the Literature last accessed 23 January 2006.
- Pattichis CS Kyriacou E Voskarides S Pattichis MS Istepanian R Schizas CN Wireless telemedicine systems: an overview Antennas and Propagation Magazine IEEE 2002 44 143 153 10.1109/MAP.2002.1003651 · DOI
- Hailey D Ohinmaa A Roine R Study quality and evidence of benefit in recent assessments of telemedicine J Telemed Telecare 2004 10 318 24 15603628 10.1258/1357633042614195 · DOI
- Hailey D Ohinmaa A Roine R Published evidence on the success of telecardiology: a mixed record J Telemed Telecare 2004 10 36 38 15603604 10.1258/1357633042614195 · DOI
- Roine R Ohinmaa A Hailey D Assessing telemedicine: a systematic review of the literature CMAJ 2001 165 765 771 11584564 PMC81454
- McBride CM Rimer BK Using the telephone to improve health behavior and health service delivery Patient Educ Couns 1999 37 3 18 10640115 10.1016/S0738-3991(98)00098-6 · DOI
- Balas EA Jaffrey F Kuperman GJ Boren SA Brown GD Pinciroli F Mitchell J Electronic communication with patients:Evaluation of distance medicine technology JAMA 1997 278 152 159 9214532 10.1001/jama.278.2.152 · DOI
- Ahring KK Ahring JP Joyce C Farid NR Telephone modem access improves diabetes control in those with insulin-requiring diabetes Diabetes Care 1992 15 971 975 1505329
- Champion VL Skinner CS Foster JL The effects of standard care counseling or telophone/in-person counseling on beliefs, knowledge and behavior related to mammography screening Oncol Nurs Forum 2000 27 1565 1571 11103375
- DeMaio J Schwartz L Cooley P Tice A The application of telemedicine technology to a directly observed therapy program for tuberculosis: a pilot project Clin Infect Dis 2001 33 2082 2084 11698993 10.1086/324506 · DOI
- Dudas V Bookwalter T Kerr KM Pantilat SZ The impact of follow-up telephone calls to patients after hospitalization Am J Med 2001 111 26S 30S 11790365 10.1016/S0002-9343(01)00966-4 · DOI
- Friedman RH Kazis LE Jette A Smith MB Stollerman J Torgerson J Carey K A telecommunications system for monitoring and counseling patients with hypertension. Impact on medication adherence and blood pressure control Am J Hypertension 1996 9 285 292 10.1016/0895-7061(95)00353-3 8722429 · DOI
- Hyman DJ Herd JA Ho KS Dunn JK Gregory KA Maintenance of cholesterol reduction using automated telephone calls Am J Prev Med 1996 12 129 133 8777066
- Meneghini LF Albisser AM Goldberg RB Mintz DH An electronic case manager for diabetes control Diabetes Care 1998 21 591 596 9571348
- O'Brien G Lazebnik R Telephone call reminders and attendance in an adolescent clinic Pediatrics 1998 101 E6 9606248 10.1542/peds.101.6.e6 · DOI
- Sacco WP Morrison AD Malone JI A brief, regular, proactive telephone "coaching" intervention for diabetes: Rationale, description and preliminary results J Diabetes and its Complications 2004 18 113 118 10.1016/S1056-8727(02)00254-4 15120706 · DOI
- Simon GE Tutty SM Operskalski BM Korff MVS Telephone psychotherapy and telephone care management for primary care patients starting antidepressant Treatment: A Randomized controlled trial JAMA 2004 292 935 942 15328325 10.1001/jama.292.8.935 · DOI · Paper page
- Stehr-Green PA Dini EF Lindegren ML Patriarca PA Evaluation of telephoned computer-generated reminders to improve immunization coverage at inner-city clinics Public Health Rep 1993 108 426 430 8341774 PMC1403403
- Bosworth HB Olsen MK Gentry P Orr M Dudley T McCant F Oddone EZ Nurse administered telephone intervention for blood pressure control: a patient-tailored multifactorial intervention Patient Educ Couns 2005 57 5 14 15797147 10.1016/j.pec.2004.03.011 · DOI
- Wiener L Riekert K Ryder C Wood LV Assessing medication adherence in adolescents with HIV when electronic monitoring is not feasible AIDS Patient Care STDS 2004 18 527 538 15630773 10.1089/apc.2004.18.527 · DOI
- Szilagyi P Vann J Bordley C Chelminski A Kraus R Margolis P Rodewald L Interventions aimed at improving immunization rates Cochrane Database Systematic Reviews 2002 CD003941. 12519624
- Dunbar PJ Madigan D Grohskopf LA Revere D Woodward J Minstrell J Frick PA Simoni JM Hooton TM A two-way messaging system to enhance antiretroviral adherence J Am Med Inform Assoc 2003 10 11 15 12509353 10.1197/jamia.M1047 PMC150355 · DOI
- Hung K Zhang YT Implementation of a WAP-based telemedicine system for patient monitoring IEEE Trans Inf Technol Biomed 2003 7 101 107 12834165 10.1109/TITB.2003.811870 · DOI
- Kubota A Fujita M Hatano Y [Development and effects of a health promotion program utilizing the mail function of mobile phones] Nippon Koshu Eisei Zasshi 2004 51 862 873 15565995
- Contreras EM de la Figuera von Wichmann M Gil-Guillen V Ylla-Catala A Figueras M Balana M Naval J [Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert)] Aten Primaria 2004 34 399 405 15546536 10.1157/13068215 PMC7668816 · DOI · Paper page
- Milch RA Ziv L Evans V Hillebrand M The effect of an alphanumeric paging system on patient compliance with medicinal regimens Am J Hosp Palliat Care 1996 13 46 48 8716377 10.1177/104990919601300314 · DOI
- Neville R Greene A McLeod J Tracy A Surie J Mobile phone text messaging can help young people manage asthma BMJ 2002 325 600 12228151 10.1136/bmj.325.7364.600/a PMC1124119 · DOI
- Salvador CH Pascual CM Gonzalez de Mingo MA Munoz CA Marquez MJ Sosa ML Cavero MA Fernandez LI Monteagudo JL Airmed-cardio: a GSM and Internet services-based system for out-of-hospital follow-up of cardiac patients IEEE Trans Inf Technol Biomed 2005 9 73 85 15787010 10.1109/TITB.2004.840067 · DOI
- Vähätalo M Virtamo HE Niikari JS Ronemaa T Cellular phone transferred self blood glucose monitoring: prerequisites for positive outcome Practical Diabetes International 2005 21 192 194 10.1002/pdi.642 · DOI
- Vilella A Bayas JM Diaz MT Guinovart C Diez C Simo D Munoz A Cerezo J The role of mobile phones in improving vaccination rates in travelers Prev Med 2004 38 503 509 15020186 10.1016/j.ypmed.2003.12.005 · DOI
- Whitten PS Mair FS Haycox A May CR Williams TL Hellmich S Systemative review of cost effectiveness studies of telemedicine interventions BMJ 2002 324 1434 1437 12065269 10.1136/bmj.324.7351.1434 PMC115857 · DOI · Paper page
- Elliot RA Barber N Horne R Cost-effectiveness of Adherence-enhancing Intervetions: A Quality Assessment of the Evidence Ann Pharmacother 2005 39 508 515 15657115 10.1345/aph.1E398 · DOI
- Helitzer-Allen DL McFarland DA Wirima JJ Macheso AP Malaria chemoprophylaxis compliance in pregnant women: a cost-effectiveness analysis of alternative interventions Soc Sci Med 1993 36 403 407 8434265 10.1016/0277-9536(93)90402-P · DOI
- Moalosi G Floyd K Phatshwane J Moeti T Binkin N Kenyhon T Cost effectiveness of home-based care versus hospital care for chronically ill tuberculosis patients, Francistown, Botswana Int J Tuber Lung Dis 2003 7 S80 S85 12971658
- Rosen S Sanne I Collier A Simon J Hard choices: rationing antiretroviral therapy for HIV/AIDS in Africa Lancet 2005 365 354 356 15664233
- Forestier E Grace J Kenny C Can Information and Communications Policy be Pro-Poor? Telecommunications Policy 2002 26 623 646 10.1016/S0308-5961(02)00061-7 · DOI
- Atun RA Sittampalam SR A Review of the Characteristics and Benefits of SMS in Delivering Healthcare The Role of Mobile Phones in Increasing Accessibility and Efficiency in Healthcare, Vodafone Policy Paper Series Number 4 2006 18 28
- Brunner BK Health care-oriented telecommunications: the wave of the future Topics Health Inf Management 1993 14 54 61 10127701
- Stanberry B Telemedicine: barriers and opportunities in the 21st century J Internal Med 2001 741 109 122 10.1046/j.1365-2796.2001.00699.x 10886483 · DOI
- Hamilton J Are main lines and mobile phones substitutes or complements? Evidence from Africa Telecommunications Policy 2003 27 109 133 10.1016/S0308-5961(02)00089-7 · DOI
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Cole-Lewis, H., & Kershaw, T. (2010) · Epidemiologic Reviews · doi:10.1093/epirev/mxq004 · Cited by 1,190 · see citing works
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Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978 · 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
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de Jongh, T., Gurol-Urganci, I., Vodopivec-Jamsek, V., Car, J., & Atun, R. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007459.pub2 · Cited by 599 · see citing works
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Kahn, J. G., Yang, J. S., & Kahn, J. S. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.0965 · Cited by 408 · see citing works
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384 · see citing works
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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
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Lim, M. S. C., Hocking, J. S., Hellard, M. E., & Aitken, C. K. (2008) · International Journal of STD & AIDS · doi:10.1258/ijsa.2007.007264 · Cited by 293 · see citing works
Pratt, M., Sarmiento, O. L., Montes, F., Ogilvie, D., Marcus, B. H., Perez, L. G., & Brownson, R. C. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60736-3 · Cited by 295 · see citing works
SMS for disease control in developing countries: a systematic review of mobile health applications
Déglise, C., Suggs, L. S., & Odermatt, P. (2012) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2012.110810 · Cited by 240 · see citing works
Teleneurology and mobile technologies: the future of neurological care
Dorsey, E. R., Glidden, A. M., Holloway, M. R., Birbeck, G. L., & Schwamm, L. H. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2018.31 · Cited by 258 · see citing works
Lund, S., Hemed, M., Nielsen, B., Said, A., Said, K., Makungu, M., & Rasch, V (2012) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2012.03413.x · Cited by 228 · see citing works
Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature
Bastawrous, A., & Armstrong, M. J. (2013) · Journal of the Royal Society of Medicine · doi:10.1177/0141076812472620 · Cited by 236 · see citing works
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Wang, J., Wang, Y., Wei, C., Yao, N. (., Yuan, A., Shan, Y., & Yuan, C. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0243 · Cited by 215 · see citing works
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Déglise, C., Suggs, L. S., & Odermatt, P. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1823 · Cited by 206 · see citing works
Chang, L. W., Kagaayi, J., Arem, H., Nakigozi, G., Ssempijja, V., Serwadda, D., Quinn, T. C., Gray, R. H., Bollinger, R. C., & Reynolds, S. J. (2011) · AIDS and Behavior · doi:10.1007/s10461-011-9995-x · Cited by 184 · 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
Nglazi, M. D., Bekker, L.-G., Wood, R., Hussey, G. D., & Wiysonge, C. S. (2013) · BMC Infectious Diseases · doi:10.1186/1471-2334-13-566 · 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
Stephani, V., Opoku, D., & Quentin, W. (2016) · BMC Public Health · doi:10.1186/s12889-016-3226-3 · Cited by 118 · see citing works
Medhanyie, A. A., Little, A., Yebyo, H., Spigt, M., Tadesse, K., Blanco, R., & Dinant, G.-J. (2015) · Human Resources for Health · doi:10.1186/1478-4491-13-2 · Cited by 114 · see citing works
Shet, A., Arumugam, K., Rodrigues, R., Rajagopalan, N., Shubha, K., Raj, T., D’souza, G., & De Costa, A. (2010) · AIDS and Behavior · doi:10.1007/s10461-009-9658-3 · Cited by 122 · see citing works
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Brian, R. M., & Ben-Zeev, D. (2014) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2014.04.006 · Cited by 121 · see citing works
Chang, L. W., Njie-Carr, V., Kalenge, S., Kelly, J. F., Bollinger, R. C., & Alamo-Talisuna, S. (2013) · AIDS Care · doi:10.1080/09540121.2013.774315 · Cited by 111 · 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
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Velthoven, M. H. M. M. T. V., Brusamento, S., Majeed, A., & Car, J. (2013) · Psychology, Health & Medicine · doi:10.1080/13548506.2012.701310 · Cited by 96 · see citing works
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Medhanyie, A. A., Moser, A., Spigt, M., Yebyo, H., Little, A., Dinant, G., & Blanco, R. (2015) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.09.006 · Cited by 77 · see citing works
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Ford II, J. H., Alagoz, E., Dinauer, S., Johnson, K. A., Pe-Romashko, K., & Gustafson, D. H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3965 · Cited by 73 · see citing works
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Gisore, P., Shipala, E., Otieno, K., Rono, B., Marete, I., Tenge, C., Mabeya, H., Bucher, S., Moore, J., Liechty, E., et al. (2012) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-12-15 · Cited by 70 · see citing works
Ag Ahmed, M. A., Gagnon, M.-P., Hamelin-Brabant, L., Mbemba, G. I. C., & Alami, H. (2017) · mHealth · doi:10.21037/mhealth.2017.05.04 · Cited by 66 · see citing works
Mbuagbaw, L., Thabane, L., Ongolo-Zogo, P., Lester, R. T., Mills, E., Volmink, J., Yondo, D., Essi, M. J., Bonono-Momnougui, R.-C., Mba, R., et al. (2011) · Trials · doi:10.1186/1745-6215-12-5 · Cited by 66 · see citing works
Chang, L. W., Kagaayi, J., Nakigozi, G., Packer, A. H., Serwadda, D., Quinn, T. C., Gray, R. H., Bollinger, R. C., & Reynolds, S. J. (2008) · AIDS Patient Care and STDs · doi:10.1089/apc.2007.0234 · Cited by 68 · see citing works
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Zolfo, M., Iglesias, D., Kiyan, C., Echevarria, J., Fucay, L., Llacsahuanga, E., de Waard, I., Suàrez, V., Llaque, W., & Lynen, L. (2010) · AIDS Research and Therapy · doi:10.1186/1742-6405-7-35 · Cited by 67 · see citing works
Lawrence, P., Fulbrook, P., Somerset, S., & Schulz, P. (2017) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12420 · Cited by 63 · see citing works
King, C., Hall, J., Banda, M., Beard, J., Bird, J., Kazembe, P., & Fottrell, E. (2014) · Global Health Action · doi:10.3402/gha.v7.25878 · Cited by 62 · see citing works
Duclos, V., Yé, M., Moubassira, K., Sanou, H., Sawadogo, N. H., Bibeau, G., & Sié, A. (2017) · Health Research Policy and Systems · doi:10.1186/s12961-017-0211-y · Cited by 59 · see citing works
Huang, D., Sangthong, R., McNeil, E., Chongsuvivatwong, V., Zheng, W., & Yang, X. (2013) · AIDS Research and Treatment · doi:10.1155/2013/580974 · Cited by 58 · see citing works
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Lee, S., Chib, A., & Kim, J.-N. (2011) · Journal of Health Communication · doi:10.1080/10810730.2011.571344 · Cited by 58 · see citing works
Chan, C. V., & Kaufman, D. R. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.09.006 · Cited by 56 · see citing works
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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
Kingue, S., Angandji, P., Menanga, A. P., Ashutantang, G., Sobngwi, E., Dossou-Yovo, R. A., Kaze, F., Kengne, A. P., Dzudie, A., Ndobo, P., et al. (2013) · Pan African Medical Journal · doi:10.11604/pamj.2013.15.153.2655 · Cited by 38 · see citing works
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Goldbach, H., Chang, A. Y., Kyer, A., Ketshogileng, D., Taylor, L., Chandra, A., Dacso, M., Kung, S.-J., Rijken, T., Fontelo, P., et al. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001276 · Cited by 37 · see citing works
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Oren, E., Bell, M. L., Garcia, F., Perez-Velez, C., & Gerald, L. B. (2017) · Pilot and Feasibility Studies · doi:10.1186/s40814-017-0128-9 · Cited by 20 · see citing works
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Tong, T. M., Asare, J., Rwenyagila, E. R., Anye, V., Oyewole, O. K., Fashina, A. A., & Soboyejo, W. O. (2015) · Perspectives on Global Development and Technology · doi:10.1163/15691497-12341356 · 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
Mohan, B., Sharma, S., Sharma, S., Kaushal, D., Singh, B., Takkar, S., Aslam, N., Goyal, A., & Wander, G. S. (2017) · Indian Heart Journal · doi:10.1016/j.ihj.2017.05.007 · Cited by 13 · see citing works
Minen, M. T., Sahyoun, G., Gopal, A., Levitan, V., Pirraglia, E., Simon, N. M., & Halpern, A. (2020) · Headache The Journal of Head and Face Pain · doi:10.1111/head.13738 · Cited by 12 · see citing works
Cellular telephone networks in developing countries
Byass, P., & D'Ambruoso, L. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60301-3 · Cited by 9 · see citing works
Mauritius eHealth - Trust in the healthcare revolution
Bholah, L. A., & Beharee, K. (2015) · 2015 ITU Kaleidoscope: Trust in the Information Society (K-2015) · doi:10.1109/kaleidoscope.2015.7383627 · Cited by 6 · see citing works
- Authors
- Kaplan, W. A.
- Affiliations
- Boston University (US)
- Corresponding author
- Warren Allan Kaplan
- ORCID
- Warren Allan Kaplan
- Venue
- Globalization and Health
- Published
- 2006
- Volume
- 2
- Issue
- 1
- Pages
- 9
- ISSN
- 1744-8603 (ISSN-L)
- PMC
- PMC1524730
- OpenAlex
- W2105712668
- Cited by
- 467
- References
- 8
- Citations by year
- 2025: 6 · 2024: 7 · 2023: 5 · 2022: 12 · 2021: 24 · 2020: 23 · 2019: 19 · 2018: 32 · 2017: 31 · 2016: 32 · 2015: 45 · 2014: 48 · 2013: 43 · 2012: 42
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Globalization and Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OpenBU (Boston University) (submittedVersion, cc-by)
- OpenBU (Boston University) (submittedVersion, other-oa)
- Funders
- Center for International Health
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- mobile devices, telemedicine, mobile health, health interventions, developing countries, cost-effectiveness, medication adherence, HIV, tuberculosis, malaria, chronic disease management, patient-provider communication, telecommunications regulation
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