Why do entrepreneurial mHealth ventures in the developing world fail to scale?

Abstract Telemedicine is an increasingly common approach to improve healthcare access in developing countries with fledgling healthcare systems. Despite the strong financial, logistical and clinical support from non-governmental organisations (NGOs), government ministries and private actors alike, the majority of telemedicine projects do not survive beyond the initial pilot phase and achieve their full potential. Based on a review of 35 entrepreneurial telemedicine and mHealth ventures, and 17 reports that analyse their operations and challenges, this article provides a narrative review of recurring failure modes, i.e. factors that lead to failure of such venture pilots. Real-world examples of successful and failed ventures are examined for key take-away messages and practical strategies for creating commercial viable telemedicine operations. A better understanding of these failure modes can inform the design of sustainable and scalable telemedicine systems that effectively address the growing healthcare disparities in developing countries.

[1]  Mary Ann Camann Global Perspectives on Mental Health , 2007 .

[2]  Rifat Latifi,et al.  "Initiate-build-operate-transfer"--a strategy for establishing sustainable telemedicine programs in developing countries: initial lessons from the balkans. , 2009, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[3]  Atanu Garai Seven factors for designing successful mHealth projects , 2012, XRDS.

[4]  Patricia Mechael,et al.  Barriers and Gaps Affecting mHealth in Low and Middle Income Countries: Policy White Paper , 1970 .

[5]  Bjorn Hassler,et al.  Bridging the Bandwidth Gap: Open Educational Resources and the Digital Divide , 2010, IEEE Transactions on Learning Technologies.

[6]  Garrett Mehl,et al.  Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs? , 2017, BMC Medical Informatics and Decision Making.

[7]  Y. R. Storch Rudall,et al.  Business Model Generation , 2012 .

[8]  Khanjan Mehta,et al.  A Design Space and Business Strategy Exploration Tool for Infrastructure-based Ventures in Developing Communities. , 2011 .

[9]  A. George,et al.  Nurses, community health workers, and home carers: gendered human resources compensating for skewed health systems , 2008, Global public health.

[10]  Bryant Thomas Karras,et al.  Design and Implementation of Cell-PREVEN: A Real-Time Surveillance System for Adverse Events Using Cell Phones in Peru , 2005, AMIA.

[11]  Christian Lovis,et al.  Telemedicine in Western Africa: lessons learned from a pilot project in Mali, perspectives and recommendations , 2003, AMIA.

[12]  Andy Haines,et al.  Brain drain and health professionals , 2002, BMJ : British Medical Journal.

[13]  William Marcellino,et al.  Social Media in Africa , 2018 .

[14]  A. L. Posthumus,et al.  Six methodological guidelines for organizing inclusive innovation in BOP projects , 2013 .

[15]  R. Zulliger,et al.  How effective are community health workers? An Overview of Current Evidence with Recommendations for Strengthening Community Health Worker Programs to Accelerate Progress in Achieving the Health-related Millennium Development Goals. , 2012 .

[16]  David Heckerman,et al.  Healthcare delivery in developing countries: challenges and potential solutions , 2009, The Fourth Paradigm.