Integrating mHealth at point of care in low- and middle-income settings: the system perspective

References

• World Health Organization. Geneva, Switzerland. The MAPS toolkit. 2015. [cited 2016 Nov 15]. Available from: http://www.who.int/reproductivehealth/publications/mhealth/maps/en/.
   Google Scholar
• Telecommunications W. ICT facts and figures 2016. [cited 2016 Nov 15]. Available from: https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2016.pdf
   Google Scholar
• L’Engle K, Raney L, D’Adamo M. mHealth resources to strengthen health programs. Glob Health Sci Pract. 2014;2:130–36.
   Google Scholar
• Sondaal SFV, Browne JL, Amoakoh-Coleman M, et al. Assessing the effect of mhealth interventions in improving maternal and neonatal care in low- and middle-income countries: a systematic review. PLoS One. 2016;11:e0154664.
   PubMed Web of Science ®Google Scholar
• Jo Y, Labrique AB, Lefevre AE, et al. Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings. PLoS One. 2014;9:e102224.
   Web of Science ®Google Scholar
• Haas S. mHealth compendium, special edition 2016: reaching scale. African Strategies for Health Arlington, Virginia. 2016. [cited 2016 Nov 16]. Available from: http://www.unicefstories.org/wp-content/uploads/2016/08/mHealth-Compendium-Special-Edition-2016-Reaching-Scale-.pdf
   Google Scholar
• World Health Organization. Geneva, Switzerland. mHealth: new horizons for health through mobile technologies. 2011. [cited 2016 Nov 16]. Available from: http://www.who.int/goe/publications/goe_mhealth_web.pdf
   Google Scholar
• mHealth Deployment Tracker. GSMA. [ cited 2016 Nov 17]. Available from: http://www.gsma.com/mobilefordevelopment/m4d-tracker/mhealth-deployment-tracker
   Google Scholar
• Patient privacy in a mobile world. [cited 2016 Nov 15]. Available from: http://www.trust.org/contentAsset/raw-data/03172beb-0f11-438e-94be-e02978de3036/file
   Google Scholar
• Mars M, Scott RE. WhatsApp in clinical practice: a literature review. Stud Health Technol Inform. 2016;231:82–90.
   PubMedGoogle Scholar
• Kaplan WA. Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries? Glob Health. 2006 23;2:9.
   PubMed Web of Science ®Google Scholar
• Källander K, Tibenderana JK, Akpogheneta OJ, et al. Mobile health (mHealth) approaches and lessons for increased performance and retention of community health workers in low- and middle-income countries: a review. J Med Internet Res. 2013;15:e17.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Mechael P, Batavia H, Kaonga N, et al. Barriers and gaps affecting mHealth in low and middle income countries: policy white paper. Global Health and Economic Development Earth Institute, Columbia University. 2010. [cited 2016 Nov 15]. Available from: http://www.globalproblems-globalsolutions-files.org/pdfs/mHealth_Barriers_White_Paper.pdf
   Google Scholar
• Health Level 7 International. HL7 governance and operational manual. 2016.
   Google Scholar
• International Telecommunications Union. Geneva, Switzerland. Telecommunication/ICT markets and trends in Africa, 2007. 2007. [cited 2016 Nov 16]. Available from: http://www.itu.int/ITU-D/ict/statistics/material/af_report07.pdf
   Google Scholar
• Safaie A, Mousavi SM, LaPorte RE, et al. Introducing a model for communicable diseases surveillance: cell phone surveillance (CPS). Eur J Epidemiol. 2006;21:627–632.
   Google Scholar
• Barnett I, Gallegos JV. Using mobile phones for nutrition surveillance: a review of evidence. Institute of Development Studies. 2013. [cited 2016 Nov 16]. Available from: https://opendocs.ids.ac.uk/opendocs/bitstream/handle/123456789/2602/AGER1.pdf?sequence=1
   Google Scholar
• Peter JE, Barron P, Pillay Y. Using mobile technology to improve maternal, child and youth health and treatment of HIV patients. S Afr Med J. 2015;106:3.
   PubMed Web of Science ®Google Scholar
• Berg M, Wariero J, Modi V. Every child counts: the use of SMS in Kenya to support the community based management of acute malnutrition and malaria in children under five. New York (NY): Columbia University, the Earth Institute with UNICEF Innovation Group; 2009.
   Google Scholar
• Medhanyie AA, Little A, Yebyo H, et al. Health workers’ experiences, barriers, preferences and motivating factors in using mHealth forms in Ethiopia. Hum Resour Health. 2015;13:2.
   Web of Science ®Google Scholar
• Malawi U, Innovations U. Using mobile phones to improve child nutrition surveillance in Malawi. [cited 2016 Nov 16]. Available from: https://sipa.columbia.edu/sites/default/files/UNICEFFinalReport_2009_0.pdf
   Google Scholar
• Karimuribo ED, Batamuzi EK, Massawe LB, et al. Potential use of mobile phones in improving animal health service delivery in underserved rural areas: experience from Kilosa and Gairo districts in Tanzania. BMC Vet Res. 2016;12:219.
   Web of Science ®Google Scholar
• Asiimwe C, Gelvin D, Lee E, et al. 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;85:26–33.
   PubMed Web of Science ®Google Scholar
• Guo Y, Su XM. Mobile device-based reporting system for Sichuan earthquake-affected areas infectious disease reporting in China. Biomed Environ Sci. 2012;25:724–729.
   PubMed Web of Science ®Google Scholar
• Das DK, Mukherjee R, Chakraborty C. Computational microscopic imaging for malaria parasite detection: a systematic review. J Microsc. 2015;260:1–19.
   PubMed Web of Science ®Google Scholar
• ISO 9241-11:1998 – ergonomic requirements for office work with visual display terminals (VDTs) – part 11: guidance on usability. ISO. 1998 [ cited 2016 Nov 15]. Available from: http://www.iso.org/iso/catalogue_detail.htm?csnumber=16883
   Google Scholar
• Davis F. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart. 1989;13:319.
   Web of Science ®Google Scholar
• DeLone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manage Inf Syst. 2003;19:9–30.
   Web of Science ®Google Scholar
• Vélez O, Okyere PB, Kanter AS, et al. A usability study of a mobile health application for rural Ghanaian midwives. J Midwifery Womens Health. 2014;59:184–191.
   PubMed Web of Science ®Google Scholar
• Cho J-H, Lee H-C, Lim D-J, et al. Mobile communication using a mobile phone with a glucometer for glucose control in type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system. J Telemed Telecare. 2009;15:77–82.
   Web of Science ®Google Scholar
• Van Velsen L, Wildevuur S, Flierman I, et al. Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals. BMC Med Inform Decis Mak. 2016;16:11.
   PubMed Web of Science ®Google Scholar
• Wallis LA, Julian F, Marie H, et al. 2016. A smartphone App and cloud-based consultation system for burn injury emergency care. PloS One 11(2):e0147253.
   Web of Science ®Google Scholar
• Jones COH, Wasunna B, Sudoi R, et al. “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:e38636.
   PubMed Web of Science ®Google Scholar
• de Grood C, Eso K, Santana MJ. Physicians’ experience adopting the electronic transfer of care communication tool: barriers and opportunities. J Multidiscip Healthc. 2015;8:21–31.
   Web of Science ®Google Scholar
• Lu Y-C, Xiao Y, Sears A, et al. A review and a framework of handheld computer adoption in healthcare. Int J Med Inform. 2005;74:409–422.
   PubMed Web of Science ®Google Scholar
• Thondoo M, Strachan DL, Nakirunda M, et al. Potential roles of mhealth for community health workers: formative research with end users in Uganda and Mozambique. JMIR Mhealth Uhealth. 2015;3:e76.
   Web of Science ®Google Scholar
• Strachan DL, Källander K, Ten Asbroek AHA, et al. Interventions to improve motivation and retention of community health workers delivering integrated community case management (iCCM): stakeholder perceptions and priorities. Am J Trop Med Hyg. 2012;87:111–119.
   PubMed Web of Science ®Google Scholar
• Haun JN, Lind JD, Shimada SL, et al. Evaluating user experiences of the secure messaging tool on the Veterans Affairs’ patient portal system. J Med Internet Res. 2014;16:e75.
   Web of Science ®Google Scholar
• Brinkel J, Krämer A, Krumkamp R, et al. Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review. Int J Environ Res Public Health. 2014;11:11559–11582.
   PubMed Web of Science ®Google Scholar
• Gadkari AS, McHorney CA. Unintentional non-adherence to chronic prescription medications: how unintentional is it really? BMC Health Serv Res. 2012;12:98.
   PubMed Web of Science ®Google Scholar
• Dansky KH, Gamm LD, Vasey JJ, et al. Electronic medical records: are physicians ready? J Healthc Manage. 1999;44:440–54;discussion 454–5.
   Web of Science ®Google Scholar
• Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014;14:188.
   PubMed Web of Science ®Google Scholar