Abstract

ABSTRACTWhile the field represents a wide spectrum of products and services, many aspects of mHealth have great promise within resource-poor settings: there is an extensive range of cheap, widely available tools which can be used at the point of care delivery. However, there are a number of conditions which need to be met if such solutions are to be adequately integrated into existing health systems; we consider these from regulatory, technological and user perspectives. We explore the need for an appropriate legislative and regulatory framework, to avoid ‘work around’ solutions, which threaten patient confidentiality (such as the extensive use of instant messaging services to deliver sensitive clinical information and seek diagnostic and management advice). In addition, we will look at other confidentiality issues such as the need for applications to remove identifiable information (such as photos) from users’ devices. Integration is dependent upon multiple technological factors, and we illustrate these using examples such as products made available specifically for adoption in low- and middle-income countries. Issues such as usability of the application, signal loss, data volume utilization, need to enter passwords, and the availability of automated or in-app context-relevant clinical advice will be discussed. From a user perspective, there are three groups to consider: experts, front-line clinicians, and patients. Each will accept, to different degrees, the use of technology in care – often with cultural or regional variation – and this is central to integration and uptake. For clinicians, ease of integration into daily work flow is critical, as are familiarity and acceptability of other technology in the workplace. Front-line staff tend to work in areas with more challenges around cell phone signal coverage and data availability than ‘back-end’ experts, and the effect of this is discussed.

Highlights

  • Global uptake of mobile technology and the spread of cellular infrastructure have helped lead to the creation of the field of mHealth, defined by the World Health Organization (WHO) as ‘medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices’ [1]

  • According to the International Telecommunication Union’s 2016 report, five billion people have mobile phone subscriptions; 85% of the world is covered by cell phone signal; 95% of people live in an area that is covered by a mobile-cellular network; and 84% of the world’s population has access to mobile broadband networks (3G or above) [2]

  • Short-term studies have shown that mHealth can improve health and health systems, with many studies focused on the areas of reproductive, maternal, newborn and child health in lowand middle-income countries (LMICs) [3,4,5]

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Summary

Background

Global uptake of mobile technology and the spread of cellular infrastructure have helped lead to the creation of the field of mHealth, defined by the World Health Organization (WHO) as ‘medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices’ [1]. Academic experts are not involved in most mHealth apps (beyond the initial design phase when expert content input is required) When involved, they are the users that receive information at the back-end of the system, and may be: specialists asked to provide clinical advice on how to manage a difficult patient through image- and text-based systems; compiling or analysing data collected through a mHealth intervention; or teaching or evaluating a patient in real time through a telecommunication device. Clinicians at point of care (front-line users) are the intended ‘target market’ of most mHealth interventions; they will be using the app in the field, in their daily work routine They may be community health workers collecting data on the ground or a local nurse using an Internet-based application to receive clinical advice. If the project is based around telecommunication, front- and end-line users should be encouraged and/or incentivized to respond promptly to clinical questions to increase application usage

Conclusions
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