Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa

Clara B Aranda-Jan, Neo Mohutsiwa-Dibe, Svetla Loukanova, Clara B Aranda-Jan, Neo Mohutsiwa-Dibe, Svetla Loukanova

Abstract

Background: Access to mobile phone technology has rapidly expanded in developing countries. In Africa, mHealth is a relatively new concept and questions arise regarding reliability of the technology used for health outcomes. This review documents strengths, weaknesses, opportunities, and threats (SWOT) of mHealth projects in Africa.

Methods: A systematic review of peer-reviewed literature on mHealth projects in Africa, between 2003 and 2013, was carried out using PubMed and OvidSP. Data was synthesized using a SWOT analysis methodology. Results were grouped to assess specific aspects of project implementation in terms of sustainability and mid/long-term results, integration to the health system, management process, scale-up and replication, and legal issues, regulations and standards.

Results: Forty-four studies on mHealth projects in Africa were included and classified as: "patient follow-up and medication adherence" (n = 19), "staff training, support and motivation" (n = 2), "staff evaluation, monitoring and guidelines compliance" (n = 4), "drug supply-chain and stock management" (n = 2), "patient education and awareness" (n = 1), "disease surveillance and intervention monitoring" (n = 4), "data collection/transfer and reporting" (n = 10) and "overview of mHealth projects" (n = 2). In general, mHealth projects demonstrate positive health-related outcomes and their success is based on the accessibility, acceptance and low-cost of the technology, effective adaptation to local contexts, strong stakeholder collaboration, and government involvement. Threats such as dependency on funding, unclear healthcare system responsibilities, unreliable infrastructure and lack of evidence on cost-effectiveness challenge their implementation. mHealth projects can potentially be scaled-up to help tackle problems faced by healthcare systems like poor management of drug stocks, weak surveillance and reporting systems or lack of resources.

Conclusions: mHealth in Africa is an innovative approach to delivering health services. In this fast-growing technological field, research opportunities include assessing implications of scaling-up mHealth projects, evaluating cost-effectiveness and impacts on the overall health system.

Figures

Figure 1
Figure 1
Inclusion/exclusion flowchart.
Figure 2
Figure 2
Main considerations for an effective mHealth project in the African context. Good project design (adapted to the local context, promotion, education and awareness of the project, etc.), Technology and resources (use local resources, capacity building, availability and maintenance), Involvement of stakeholders (strong public-private partnership, multidisciplinary teams, MoH, political leadership, local champion) and Government e-health/m-health department (program monitoring and evaluation, research, etc.).

References

    1. ITU. Key statistical highlights: ITU data release June 2012. Geneva: International Telecommunication Union; 2012.
    1. ITU. The World in 2013: ICT Facts and Figures. Geneva: International Telecommunication Union; 2013.
    1. WEF & mHealth Alliance. Amplifying the Impact: Examining the Intersection of Mobile Health and Mobile Finance: A discussion guide for collaborative insight presented by the World Economic Forum, in partnership with the mHealth Alliance. Geneva: World Economic Forum; 2011.
    1. WHO: mHealth. New horizons for health through mobile technologies: second global survey on eHealth. Geneva: World Health Organization; 2011.
    1. Global Observatory for eHealth–Survey 2009 figures. [ ]
    1. Lasica JD. The mobile generation: Global transformations at the cellular level: A report of the fifteeth annual Aspen roundtable on Information Technologies. Washington, D.C: The Aspen Institute; 2007.
    1. Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, McKinstry B, Procter R, Majeed A, Sheikh A. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med. 2011;8(1):e1000387. doi: 10.1371/journal.pmed.1000387.
    1. Mechael P, Batavia H, Kaonga N, Searle S, Kwan A, Goldberg A, Fu L, Ossman J. Barriers and gaps affecting mHealth in Low and Middle Income Countries: Policy white paper. New York: Center for Global Health and Economic Development Earth Institute, Columbia University; 2010.
    1. Blaya JA, Fraser HS, Holt B. E-health technologies show promise in developing countries. Health Aff (Millwood) 2010;29(2):244–251. doi: 10.1377/hlthaff.2009.0894.
    1. WHO. Global Observatory for eHealth series. 2. Geneva: World Health Organization; 2010. Telemedicine: opportunities and developments in Member States: report on the second global survey on eHealth.
    1. Mitchell KJ, Bull S, Kiwanuka J, Ybarra ML. Cell phone usage among adolescents in Uganda: acceptability for relaying health information. Health Educ Res. 2011;26(5):770–781. doi: 10.1093/her/cyr022.
    1. Mupela EN, Mustarde P, Jones HL. Telemedicine in primary health: the virtual doctor project Zambia. Philos Ethics Humanit Med. 2011;6:9. doi: 10.1186/1747-5341-6-9. doi:10.1186/1747-5341-6-9.
    1. Hill T, Westbrook R. SWOT analysis: it’s time for a product recall. Long Range Plan. 1997;30(1):46–52. doi: 10.1016/S0024-6301(96)00095-7.
    1. Andreatta P, Debpuur D, Danquah A, Perosky J. Using cell phones to collect postpartum hemorrhage outcome data in rural Ghana. Int J Gynaecol Obstet. 2011;113(2):148–151. doi: 10.1016/j.ijgo.2010.11.020.
    1. Adedeji AA, Sanusi B, Tella A, Akinsanya M, Ojo O, Akinwunmi MO, Tikare OA, Ogunwande IA, Ogundahunsi OA, Ayilara OO. Exposure to anti-malarial drugs and monitoring of adverse drug reactions using toll-free mobile phone calls in private retail sector in Sagamu, Nigeria: implications for pharmacovigilance. Malar J. 2011;10:230. doi: 10.1186/1475-2875-10-230.
    1. Wakadha H, Chandir S, Were EV, Rubin A, Obor D, Levine OS, Gibson DG, Odhiambo F, Laserson KF, Feikin DR. The feasibility of using mobile-phone based SMS reminders and conditional cash transfers to improve timely immunization in rural Kenya. Vaccine. 2013;31(6):987–993. doi: 10.1016/j.vaccine.2012.11.093.
    1. Hoffman JA, Cunningham JR, Suleh AJ, Sundsmo A, Dekker D, Vago F, Munly K, Igonya EK, Hunt-Glassman J. Mobile direct observation treatment for tuberculosis patients: a technical feasibility pilot using mobile phones in Nairobi, Kenya. Am J Prev Med. 2010;39(1):78–80. doi: 10.1016/j.amepre.2010.02.018.
    1. Rotheram-Borus MJ, Tomlinson M, Gwegwe M, Comulada WS, Kaufman N, Keim M. Diabetes buddies: peer support through a mobile phone buddy system. Diabetes Educ. 2012;38(3):357–365. doi: 10.1177/0145721712444617.
    1. Ngabo F, Nguimfack J, Nwaigwe F, Mugeni C, Muhoza D, Wilson DR, Kalach J, Gakuba R, Karema C, Binagwaho A. Designing and Implementing an Innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda. Pan Afr Med J. 2012;13:31.
    1. Mbuagbaw L, Thabane L, Ongolo-Zogo P, Lester RT, Mills EJ, Smieja M, Dolovich L, Kouanfack C. The Cameroon Mobile Phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS One. 2012;7(12):e46909. doi: 10.1371/journal.pone.0046909.
    1. Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, de Walque D, MacKeen L, Haberer J, Kimaiyo S, Sidle J. et al.Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25(6):825–834. doi: 10.1097/QAD.0b013e32834380c1.
    1. Lester R, Ritvo P, Mills E, Kariri A, Karanja S, Chung MC, Jack W, Habyarimana J, Sadatsafavi M, Najafzadeh M, Marra CA, Estambale B, Ngugi E, Ball TB, Thabane L, Gelmon LJ, Kimani J, Ackers M, Plummer FA. Effects of mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376:1838–1845. doi: 10.1016/S0140-6736(10)61997-6.
    1. Van-Velthoven MH, Tudor Car L, Gentry S, Car J. Telephone delivered interventions for preventing HIV infection in HIV-negative persons. Cochrane Database Syst Rev. 2013;5:CD009190.
    1. De Tolly K, Skinner D, Nembaware V, Benjamin P. Investigation into the use of short message services to expand uptake of human immunodeficiency virus testing, and whether content and dosage have impact. Telemed J E Health. 2012;18(1):18–23. doi: 10.1089/tmj.2011.0058.
    1. van der Kop ML, Karanja S, Thabane L, Marra C, Chung MH, Gelmon L, Kimani J, Lester RT. In-depth analysis of patient-clinician cell phone communication during the WelTel Kenya1 antiretroviral adherence trial. PLoS One. 2012;7(9):e46033. doi: 10.1371/journal.pone.0046033.
    1. Chang LW, Kagaayi J, Nakigozi G, Packer AH, Serwadda D, Quinn TC, Gray RH, Bollinger RC, Reynolds SJ. Responding to the human resource crisis: peer health workers, mobile phones, and HIV care in Rakai, Uganda. AIDS Patient Care STDS. 2008;22(3):173–174. doi: 10.1089/apc.2007.0234.
    1. Lund S, Hemed M, Nielsen BB, Said A, Said K, Makungu MH, Rasch V. Mobile phones as a health communication tool to improve skilled attendance at delivery in Zanzibar: a cluster-randomised controlled trial. BJOG. 2012;119(10):1256–1264. doi: 10.1111/j.1471-0528.2012.03413.x.
    1. Crankshaw T, Corless IB, Giddy J, Nicholas PK, Eichbaum Q, Butler LM. Exploring the patterns of use and the feasibility of using cellular phones for clinic appointment reminders and adherence messages in an antiretroviral treatment clinic, Durban, South Africa. AIDS Patient Care STDS. 2010;24(11):729–734. doi: 10.1089/apc.2010.0146.
    1. Horvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev. 2012;3:CD009756.
    1. Roux P, Kouanfack C, Cohen JM, Marcellin F, Boyer S, Delaporte E, Carrieri P, Laurent C, Spire B. Adherence to antiretroviral treatment in HIV-positive in the Cameroon context: promoting the use of medication reminder methods. Acquir Immune Defic Syndr. 2011;57 (6S)(Supplement 1):S40–S43.
    1. Odigie VI, Yusufu LM, Dawotola DA, Ejagwulu F, Abur P, Mai A, Ukwenya Y, Garba ES, Rotibi BB, Odigie EC. The mobile phone as a tool in improving cancer care in Nigeria. Psychooncology. 2012;21(3):332–335. doi: 10.1002/pon.1894.
    1. Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR. Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting. AIDS Behav. 2010;14(6):1294–1301. doi: 10.1007/s10461-010-9720-1.
    1. Chang AY, Ghose S, Littman-Quinn R, Anolik RB, Kyer A, Mazhani L, Seymour AK, Kovarik CL. Use of mobile learning by resident physicians in Botswana. Telemed J E Health. 2012;18(1):11–13. doi: 10.1089/tmj.2011.0050.
    1. Siedner MJ, Haberer JE, Bwana MB, Ware NC, Bangsberg DR. High acceptability for cell phone text messages to improve communication of laboratory results with HIV-infected patients in rural Uganda: a cross-sectional survey study. BMC Med Inform Decis Mak. 2012;12:56. doi: 10.1186/1472-6947-12-56.
    1. Azfar RS, Weinberg JL, Cavric G, Lee-Keltner IA, Bilker WB, Gelfand JM, Kovarik CL. HIV-positive patients in Botswana state that mobile teledermatology is an acceptable method for receiving dermatology care. J Telemed Telecare. 2011;17(6):338–340. doi: 10.1258/jtt.2011.110115.
    1. Gehrman E. Havard Gazette. Cambridge, MA: Harvard Public Affairs and Communications; 2009. Wanted: Doctors for Africa: lecturer says the need is great, but training lacking.
    1. Chang LW, Kagaayi J, Arem H, Nakigozi G, Ssempijja V, Serwadda D, Quinn TC, Gray RH, Bollinger RC, Reynolds SJ. Impact of a mHealth intervention for peer health workers on AIDS care in rural Uganda: a mixed methods evaluation of a cluster-randomized trial. AIDS Behav. 2011;15(8):1776–1784. doi: 10.1007/s10461-011-9995-x.
    1. Rotheram-Borus MJ, Richter L, Van Rooyen H, Van Heerden A, Tomlinson M, Stein A, Rochat T, De Kadt J, Mtungwa N, Mkhize L. et al.Project Masihambisane: a cluster randomised controlled trial with peer mentors to improve outcomes for pregnant mothers living with HIV. Trials. 2011;12:2. doi: 10.1186/1745-6215-12-2.
    1. Mahmud N, Rodriguez J, Nesbit J. A text message-based intervention to bridge the healthcare communication gap in the rural developing world. Technol Health Care. 2010;18(2):137–144.
    1. Seidenberg P, Nicholson S, Schaefer M, Semrau K, Bweupe M, Masese N, Bonawitz R, Chitembo L, Goggin C, Thea DM. Early infant diagnosis of HIV infection in Zambia through mobile phone texting of blood test results. Bull World Health Organ. 2012;90(5):348–356. doi: 10.2471/BLT.11.100032.
    1. Bellina L, Missoni E. Mobile cell-phones (M-phones) in telemicroscopy: increasing connectivity of isolated laboratories. Diagn Pathol. 2009;4:19. doi: 10.1186/1746-1596-4-19.
    1. Colven R, Shim MH, Brock D, Todd G. Dermatological diagnostic acumen improves with use of a simple telemedicine system for underserved areas of South Africa. Telemed J E Health. 2011;17(5):363–369. doi: 10.1089/tmj.2010.0163.
    1. Zurovac D, Sudoi RK, Akhwale S, Ndiritu M, Hamer DH, Rowe AK, Snow RW. The effect of mobile phone text-message reminders on Kenyan health workers’ adherence to malaria atrestment guidelines: a cluster randomised trial. Lancet. 2011;378:795–803. doi: 10.1016/S0140-6736(11)60783-6.
    1. Zurovac D, Larson BA, Sudoi RK, Snow RW. Costs and cost-effectiveness of a mobile phone text-message reminder programmes to improve health workers’ adherence to malaria guidelines in Kenya. PLoS One. 2012;7(12):e52045. doi: 10.1371/journal.pone.0052045.
    1. Jones CO, Wasunna B, Sudoi R, Githinji S, Snow RW, Zurovac D. “Even if you know everything you can forget”: health worker perceptions of mobile phone text-messaging to improve malaria case-management in Kenya. PLoS One. 2012;7(6):e38636. doi: 10.1371/journal.pone.0038636.
    1. Githinji S, Kigen S, Memusi D, Nyandigisi A, Mbithi AM, Wamari A, Muturi AN, Jagoe G, Barrington J, Snow RW, Zurovac D. Reducing stock-outs of life saving malaria commodities using mobile phone text-messaging: SMS for life study in Kenya. PLoS One. 2013;8(1):e54066. doi: 10.1371/journal.pone.0054066.
    1. Barrington J, Wereko-Brobby O, Ward P, Mwafongo W, Kungulwe S. SMS for Life: a pilot project to improve anti-malarial drug supply management in rural Tanzania using standard technology. Malar J. 2010;9:298. doi: 10.1186/1475-2875-9-298.
    1. Weinberg J, Kaddu S, Gabler G, Kovarik CL. The African teledermatology project: providing access to dermatologic care and education in sub-Saharan Africa. PanAfrican Med J. 2009;3(16) PMCID:?PMC2984299.
    1. Asiimwe C, Gelvin D, Lee E, Amor YB, Quinto E, Katureebe C, Sundaram L, Bell D, Berg M. Use of an innovative, affordable, and open-source short message service-based tool to monitor malaria in remote areas of Uganda. Am J Trop Med Hyg. 2011;85(1):26–33. doi: 10.4269/ajtmh.2011.10-0528.
    1. Kamanga A, Moono P, Stresman G, Mharakurwa S, Shiff C. Rural health centres, communities and malaria case detection in Zambia using mobile telephones: a means to detect potential reservoirs of infection in unstable transmission conditions. Malar J. 2010;9:96. doi: 10.1186/1475-2875-9-96.
    1. Gitonga CW, Karanja PN, Kihara J, Mwanje M, Juma E, Snow RW, Noor AM, Brooker S. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malar J. 2010;9:306. doi: 10.1186/1475-2875-9-306.
    1. Nsanzimana S, Ruton H, Lowrance D, Cishahayo S, Nyemazi J, Muhayimpundu R, Karema C, Raghnathan P, Binagwaho A, Riedel D. Cell phone-based and internet-based monitoring and evaluation of the national antiretroviral treatment program during rapid scale-up in Rwanda: TRACnet, 2004-2010. J Acquir Immune Defic Syndr. 2012;59(2):e17–e23. doi: 10.1097/QAI.0b013e31823e2278.
    1. Lori JR, Munro ML, Boyd CJ, Andreatta P. Cell phones to collect pregnancy data from remote areas in Liberia. J Nurs Scholarsh. 2012;44(3):294–301. doi: 10.1111/j.1547-5069.2012.01451.x.
    1. van Heerden A, Norris S, Tollman S, Richter L, Rotheram-Borus MJ. Collecting maternal health information from HIV-positive pregnant women using mobile phone-assisted face-to-face interviews in Southern Africa. J Med Internet Res. 2013;15(6):e116. doi: 10.2196/jmir.2207.
    1. Jian WS, Hsu MH, Sukati H, Syed-Abdul S, Scholl J, Dube N, Hsu CK, Wu TJ, Lin V, Chi T. et al.LabPush: a pilot study of providing remote clinics with laboratory results via short message service (SMS) in Swaziland, Africa. PLoS One. 2012;7(9):e44462. doi: 10.1371/journal.pone.0044462.
    1. Tomlinson M, Solomon W, Singh Y, Doherty T, Chopra M, Ijumba P, Tsai AC, Jackson D. The use of mobile phones as a data collection tool: a report from a household survey in South Africa. BMC Med Inform Decis Mak. 2009;9:51. doi: 10.1186/1472-6947-9-51.
    1. Chin CD, Cheung YK, Laksanasopin T, Modena MM, Chin SY, Sridhara AA, Steinmiller D, Linder V, Mushingantahe J, Umviligihozo G. et al.Mobile device for disease diagnosis and data tracking in resource-limited settings. Clin Chem. 2013;59(4):629–640. doi: 10.1373/clinchem.2012.199596.
    1. Blackenberg M, Worst C, Scheffer C. Development of a Mobile Phone Based Ophthalmoscope for Telemedicine. 33rd Annual International Conference of the IEEE EMBS: 2011; Boston, Massachusetts USA. 2011. pp. 5236–5239.
    1. Rajput ZA, Mbugua S, Amadi D, Chepngeno V, Saleem JJ, Anokwa Y, Hartung C, Borriello G, Mamlin BW, Ndege SK. et al.Evaluation of an android-based mHealth system for population surveillance in developing countries. J Am Med Inform Assoc. 2012;19(4):655–659. doi: 10.1136/amiajnl-2011-000476.
    1. Lester R, Gelmon LJ, Plummer FA. Cell phones: tightening the communication gap in resource-limited antiretroviral programmes? AIDS. 2006;20:2242–2243. doi: 10.1097/QAD.0b013e3280108508.
    1. L’Engle KL, Vahdat HL, Ndakidemi E, Lasway C, Zan T. Evaluating feasibility, reach and potential impact of a text message family planning information service in Tanzania. Contraception. 2013;87(2):251–256. doi: 10.1016/j.contraception.2012.07.009.
    1. Zurovac D, Talisuma AO, Snow RW. Mobile phone text messaging: tool for malaria control in Africa. PLoS Med. 2012;9(2):e1001176. doi: 10.1371/journal.pmed.1001176.
    1. Leon N, Schneider H, Daviaud E. Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa. BMC Med Inform Decis Mak. 2012;12:123. doi: 10.1186/1472-6947-12-123.
    1. Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10(2):e1001382. doi: 10.1371/journal.pmed.1001382.
    1. Kirigia JM, Seddoh A, Gatwiri D, Muthuri LH, Seddoh J. E-health: determinants, opportunities, challenges and the way forward for countries in the WHO African Region. BMC Public Health. 2005;5:137. doi: 10.1186/1471-2458-5-137. doi:10.1186/1471-2458-5-137.

Source: PubMed

3
S'abonner