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IntroductionThe World Health Organization (WHO) has proposed the use of low-cost information and communication technology (ICT) to improve the quality of service delivery and to build up health workers’ capacity especially at the primary health care (PHC) level.1 This application of ICT in health care has been termed e-health.2 Mobile e-health, or m-health, involves using wireless technologies such as Bluetooth, GSM/GPRS/3G, WiFi, WiMAX, on to transmit e-health data and facilitate services. Usually, these are accessed by the health worker through devices such as mobile phones, Smartphones, personal digital assistants (PDAs), laptops or tablet PCs. Health data stored on devices such as USB memory sticks and memory storage cards (SDs) can also be regarded as m-health tools. The International Telecommunication Union (ITU) has been piloting m-health for health system and workers development in developing countries since 2002, especially at the PHC level.3 Most e-health development has been aimed at employing mobile/wireless ICT for PHC service development in developing countries. However, this is often not grounded within local practices in these countries. Attempts to develop new applications without taking account of local sensibilities have been known to fail.4 How can m-health be made sustainable for health workers and for PHC delivery in developing countries? To answer this question, case studies on the use of m-health applications by community-based health workers (CBHWs) from four developing countries in three continents are presented in this chapter. Opportunities in m-health for addressing global |
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Case study 1 |
Background |
The Ca:sh (Community Access to Sustainable Health) programme was instituted in India in 2001. Large quantities of health data are generated by the PHC system in India. This is used for treatment planning, resource allocation, disease surveillance and management. Moving this information from the lower level to the district level of the PHC system in a timely and accurate manner was difficult because of the size of India’s health system. The Ca:sh programme was conceived to provide a cost-effective method of managing and accessing these large volumes of health data. The CBHWs (usually auxiliary nurses or midwives) provide community, maternal and childhood care. The m-health application was developed to support the CBHWs in rural communities where most of the population live. |
Case description |
The m-health application was piloted in 2001 in a rural community with a population of 70 000. The Ca:sh programme was implemented by local staff in conjunction with the international developers. There was a two-stage implementation process involving a participatory approach in order to engage with the CBHWs. The first stage lasted for five months, and problems that were identified were incorporated into the design process. The second stage lasted for nine months, and culminated in a programme evaluation exercise. During this process, technical support and training for the CBHWs were provided by the local implementers. The training for the CBHWs also followed the two phases of the design process. |
The m-health application enables the CBHWs to collect household, demographic, antenatal and prenatal, and childhood immunization data at the point of care in the patients’ homes. The data collected by the CBHWs are then transferred at regular intervals to a central repository located at a district health centre. Unfortunately, despite a successful demonstration phase, the project was discontinued owing to lack of support by the national government.9 |
Case study 2 |
Background |
The Hispano-American Health Link (EHAS) programme was instituted in Peru in early 2000. Maternal and childhood diseases such as respiratory and gastrointestinal infections are common in Peru, especially in rural areas. Rural villages have health posts that are usually staffed by CBHWs, who provide PHC services. Usually, CBHWs depend on the bigger health centres for second opinions, case referrals, pharmaceutical deliveries and service administration. However, the execution of these activities was very difficult because of poor communications. Often, the CBHWs spent hours or even days travelling to the health posts. The EHAS m-health system was designed to tackle this problem. |
Case description |
The EHAS programme commenced with a pilot project involving the deployment of 39 sets of m-health equipment to the health posts and centres within a district health system. This was preceded by a comprehensive assessment of the ICT needs of CBHWs in the region. This indicated that lack of communication facilities hampered the coordination of the CBHWs’ activities, sharing and exchange of information, and their education. The contents of the m-health application included e-learning materials such as journals, evidence-based guidelines and local health news, mostly for managing childhood and maternal health care. An online e-learning test and assessment system was also provided. Access to experts’ or second opinions was also provided through a store-and-forward teleconsultation system. |
The implementation involved the participation of local authorities and host communities in the development and installation of the m-health equipment. Training was provided for the local implementers, who in turn trained the CBHWs. The training included material on computer literacy, the operation of the m-health communication system and simple maintenance procedures. Two local technicians from the district hospital were trained in equipment maintenance and repair procedures. In addition, training was also provided for the managers at the district hospital on how to configure the m-health application to their local requirements. |
At the completion of the nine-month pilot implementation, an evaluation was carried out to measure the impact of m-health on the community, on the CBHWs and on health service delivery. This was compared with the baseline study conducted at the start of the project. Findings from the evaluation were then employed to further improve and develop the m-health application. In the last seven years, the programme has provided valuable lessons on using high-bandwidth wireless ICT for rural m-health. Similar programmes in Columbia and Cuba have been inspired by this success.10,11 |
Case study 3 |
Background |
Cell-Life is a project in South Africa focusing on the management of the HIV/AIDS epidemic. South Africa has one of the highest rates of HIV/AIDS rate in the world. In 2004, there were approximately 3.8 million people infected with the HIV/AIDS virus. In response, the South African government commenced a nationwide programme of antiretroviral (ARV) therapy for people living with HIV/AIDS (PLWHA). PLWHA are usually managed by state and community-based organizations. However, these often lack resources. Most PLWHA are resident in rural areas where there is a lack of basic amenities, and often the supply of ARV drugs to these centres is unreliable, thereby predisposing these patients to secondary infections such as tuberculosis. The South African government also recognized the importance of up-to-date information and access to communication facilities for the support and empowerment of PLWHA. |
Case description |
Initially, Cell-Life started as a community home-based care system for the direct management of HIV/AIDS patients known as ‘Aftercare’. However, it has since been expanded to cover other aspects of the HIV/AIDS management process, such as pharmacy stock control, voluntary counselling and testing. The Aftercare module was designed for volunteer CBHWs known as therapeutic counsellors for the management of PLWHA. Therapeutic counsellors are PLWHA who are also undergoing ARV therapy themselves, but are more in control of their health situation. This represents a kind of peer-to-peer homecare management model. Each CBHW is usually allocated to 15–20 PLHWA. This involves the CBHWs providing care and support to their fellow PLHWA in their homes, and ensuring their compliance with ART treatment regimens. The m-health system supports these CBHWs in their health volunteer activities. |
The first pilot was implemented in 2002 at a rural HIV research centre. Training and continuous supervision were provided by a doctor from the local university hospital. The mobile devices were provided for the CBHWs by the clinic for their professional and personal use. The clinic is also responsible for maintenance of the mobile devices. |
Basically, the m-health innovation is used by the CBHWs for accessing real-time health and ART records of their fellow PLHWA during home visits. Information collected includes drug dosage and side effects, and relevant socioeconomic indicators. This information is transmitted via a public wireless network to a central database for analysis by a care manager; feedback is then provided for the CBHWs as required. Real-time communication between the care manager and CBHWs is usually by voice communication. The care manager also employs the data for monitoring the CBHWs’ activities. |
In 2002, there were 6 CBHWs and 250 patients. At present, there are about 46 CBHWs in 4 rural and peri-urban sites, managing about 3500 PLWHA. Recent indications are that the programme may not be sustained because of financial constraints. |
Case study 4 |
Background |
In India, traditional health practices serve as alternatives to formal health services, and meet the health needs of the mostly rural and poor population. Ayurveda, a 5000-year-old practice, is an example. Ayurveda uses medicinal plants to create low-cost drugs for managing chronic and acute diseases. These services are delivered by traditional CBHWs, who provide home consultation to clients in rural areas. In 2001, Jiva Health, an Ayurvedic health care provider, decided to develop an m-health system known as Jiva TeleDoc for supporting the homecare activities of its CBHWs. The aim was to develop a sustainable solution that was appropriate for the primary health needs of villagers in India. |
Case description |
The aim of the Teledoc innovation was to identify health care priorities. The design and development were carried out in India. The first pilot was a feasibility assessment study that lasted for a month in a selected village. This was to determine the contextual sustainability factors for the m-health innovation within the village environment. After a successful pilot study, the m-health programme was then extended to another 15 villages, where further piloting was conducted for another three months. |
The m-health application enables CBHWs to update and view medical records in their clients’ homes, away from the health centre. A store-and-forward teleconsultation can be carried out by the CBHWs with the urban health centre. At the urban health centres, an Ayuverdic doctor interprets the received data and then prescribes drugs, which are then delivered to the clients by CBHWs. In the pilot trial, CBHWs conducted 800 home visits with the m-health application. The project was then extended to another 30 villages in 2003. By 2006, the m-health application had been employed for the management of nine million homecare visits in about 10 000 villages.12 The CHITS programme in the Philippines13 (see also Chapter 3) also began as an m-health project. |
Case study 5 |
Background |
In Uganda, the Ministry of Health recognized that the ability to collect and analyze reliable information was vital for providing effective health care to the population. Therefore, a functional health management information system was required. An international coalition led by a university-based organization developed the Uganda Health Information Network (UHIN), an m-health application. The network used low-cost mobile ICT in a computerized health management information system and also provided access to e-health learning materials for all health workers, including CBHWs. |
Case description |
The m-health work started as a pilot project in two health districts in Uganda in 2003. Pre-implementation planning was carried out through awareness-raising workshops at the pilot sites. Experience from previous m-health projects involving mobile devices without wireless connectivity in other parts of Africa also provided insights. The implementation was carried out by Ugandan workers from local and national health organizations and coordinated by a university-based research and development institution. The information content was developed through a participatory approach with the local health workers who were going to be the eventual users. This process involved the digitization of the existing paper-based health data forms, decision support guidelines and educational materials. |
Technical support and training were provided continuously throughout the early phase of the implementation process. Basically, the innovation consisted of two main applications, namely the health management information system and the e-learning contents. The e-learning contents included locally developed and WHO guidelines for managing health-related MDGs. |
In 2003, 200 PDAs were distributed to 386 health workers in two health districts. By 2006, 350 mobile devices were in use. A large proportion of these health workers were CBHWs. As there were too few mobile devices to go round, up to six CBHWs in health posts or centres were observed to be sharing one device for their daily PHC activities.14 |
The development and implementation of the m-health applications in the above case studies involved mostly international and not-for-profit academic and research organiz ations working with local collaborators. These are listed in Table 5.1.
Table 5.1 Stakeholders involved in m-health project development and implementation | ||
| International implementers | Local implementers |
Ca:sh 1. | Dimagi USA | 1. Media Lab India |
| 2. Massachusetts Massachussets Institute of Technology (MIT), USA | 2. All India Institute of Medical Sciences (AIIMS), India |
|
| 3. State Ministry of Health of Haryana, India |
EHAS | 1. Biomedical Engineering and Telemedicine Group of the Technical University of Madrid (GBT–UPM), Spain | 1. Catholic University of Peru (PUCP) |
|
| 2. Cayetano Heredia University of Peru (UPCH) |
| 2. Engineering Without Frontiers (ISF), Spain |
|
|
| 3. Ministry of Health of Peru (MINSA) |
Cell-Life | None | 1. Cell-Life |
|
| 2. University of Cape Town (UCF), South Africa |
|
| 3. Cape Peninsular University of Technology, South Africa |
|
| 4. Desmond Tutu Institute |
Jiva TeleDoc | 1. Media Lab MIT | 1. Jiva Health, Jiva Institute, India |
|
| 2. Media Lab India |
|
| 3. Indian Institute of Technology |
UHIN | 1. AED/Satellife | 1. Uganda Chartered HealthNet (UCH), Uganda |
|
| 2. Makerere University Medical School, Uganda |
|
| 3. District Health Authorities, Uganda |
Table 5.2 M-health technology | |
Case | Technology |
Ca:sh | 1. PDAs |
| 2. Compact storage card (SD) |
EHAS | 1. VHF wireless networks and transceivers |
| 2. WiFi wireless networks and transceivers |
| 3. WiFi cards and routers |
| 4. Laptops |
| 5. Solar panels |
| 6. Email |
Cell-Life | 1. Smartphones and mobile phones |
| 2. SIM cards |
| 3. SMS/GSM/GPRS/3G |
| 4. Mobile web |
Jiva TeleDoc | 1. Smartphones |
| 2. GSM/GPRS |
| 3. Mobile web |
UHIN | 1. PDAs |
| 2. Portable wireless servers |
| 3. GSM/GPRS |
| 4. Solar panels |
| 5. Mobile email |
Table 5.3 M-health project funding sources | |
Case | Funding organizations |
Ca:sh | 1. Media Lab India |
| 2. Ministry of Information Technology, Government of India |
| 3. Fogarty International Centre, National Institutes of Health (NIH), USA |
| 4. Media Lab, Massachusetts Institute of Technology, USA |
EHAS | 1. Spanish Agency for International Cooperation (AECI) |
| 2. Spanish Interministerial Commission for Science and Technology (CICYT) |
| 3. Latin American Program for Science and Technology for Development (CYTED) |
| 4. Supervisory Organization for Private Investments in Telecommunication in Peru (OSIPTEL) |
| 5. World Bank InfoDev program |
| 6. Committee for Solidarity and Development of the UPM, the Council of Madrid |
| 7. Spanish Association of Engineers of the ICAI and the Official Association of Industrial Engineers of Spain (COIIM) |
Cell-Life | 1. Vodacom Foundation |
| 2. National Research Foundation of South Africa |
UHIN | 1. Connectivity Africa: International Development Research Centre (IDRC), Canada |
Jiva TeleDoc | 1. George Soros Foundation |
| 2. Flora Family Foundation |
| 3. Media Lab Asia |
Different low-cost technologies were employed in the m-health work described in the case studies (Table 5.2). The source of funding for these m-health programmes was mostly international not-for-profit organizations (Table 5.3).
The effects of the m-health projects can be considered under four headings: technology interfaces, social, finance, and government.
The m-health projects described above were generally employed to extend essential PHC services to mostly rural communities previously without services. Different types of CBHWs were involved. For example, in the Ca:sh project, they performed specialist functions in maternal and childcare.
The importance of engaging users in the development process was a common factor in most of the cases. The participatory design approach15,16 adopted in the Ca:sh17 and EHAS18 projects should be more widely employed, even though it did not result in sustainability for the Ca:sh project. Participatory action research19 was employed in the design and implementation process of the TeleDoc and EHAS projects. Here, community members, the users of the m-health services, were engaged in the development work. An iterative design approach was employed in all the projects, but most notably in the Ca:sh17 and EHAS20 projects.
User interface design was also important. The users were involved in the mobile devices interface design process, especially in the Ca:sh project. Of particular importance is engaging users in the adaptation process of fitting paper-based content to device screens. User engagement in interface design has a role to play in successful mobile device usability and eventual adoption.15 However, this cannot be carried out in isolation. In a failed innovation, CBHWs abandoned their devices, despite an intensive long-term action, research-oriented design process, because other contextual factors were not appropriated into the planning process.21
The prior exposure of the CBHWs to mobile devices in the Cell-Life project and their exposure to desktop computers in the Ca:sh project were reported as being important to rapid adoption. Another factor was the training provided to the CBHWs. Training for users has been identified as important to the successful adoption of e-health in developing countries.22 In the Cell-Life project, there was an increased health care workload on the CBHWs.23 However, the health care competence of the CBHWs was observed to be enhanced by m-health in both the Cell-Life and UHIN projects.14,23
Personal security concerns may be a barrier to the adoption of m-health. In the Cell-Life project, some CBHWs were observed to leave their mobile devices at home because of fear of armed robbery while working in the community.23 There were also social effects of m-health on the work of the CBHWs. Some CBHWs complained about intrusion into their private lives in the Cell-Life project.23 This perceived intrusion was identified as a limiting factor in the adoption of m-health.
A positive social effect observed in the Cell-Life project was that the CBHWs’ status within their working and professional community was enhanced by the m-health work.23 Another social effect, albeit a negative one, was observed in the UHIN project as an outcome of the CBHWs’ team-working. As a consequence of the shortage of mobile devices, the CBHWs had to share them.14 Sharing a mobile device is common in many developing countries.24 This should not, however, be the case with CBHWs, because of their health care role. Each health worker deserves to have a personal device in order to manage and secure their patients’ data, access email and use the device at any time for educational purposes.
Sustaining m-health projects in developing countries should be important to health policy makers. Most of the cases described above started as pilots, and most have since been expanded beyond their sites of origin. Thus, valuable lessons can be gained from their experiences.
The funding sources for these m-health projects are summarized in Table 5.3. Most were funded from outside the countries of implementation, with the exception of Cell-Life and Jiva TeleDoc. Most of the financiers were non-governmental organizations. It is known that developing countries are replete with abandoned health projects caused by the short-term focus of international implementers.4,25 This observation is also supported by empirical work on the sustainability of PHC innovations in developing countries.26 Sustainable PHC innovations were dependent on the degree of integration of local and contextual organizational factors in their planning. Financial sustainability of PHC innovations was observed to be important to local stakeholders.27
The financial basis of some of these cases is therefore worth considering. For instance, both the Jiva TeleDoc and Cell-Life innovations were run as social enterprises. Social enterprises are organizations that develop new solutions to social problems.28 They can be run as a business or as a not-for-profit operation. However, the common goal is to ensure financial sustainability while solving societal issues. They are also known to provide an alternative to inefficient public services.28 The m-health projects were social enterprises that filled the gap created by underperforming public health services. In future, perhaps, health policy makers should adopt this approach to meet the health-related MDGs of developing countries.
However, taking the social enterprise approach is not without its own problems.29 Both the TeleDoc and Cell-Life applications were developed with seed funding from their sponsors, but achieving financial sustainability was difficult. The Cell-Life m-health work started as a donor-funded research project in response to government policy on HIV/AIDs care.30 However, it has since mutated to an ‘academic research-based’ social enterprise.
Other m-health applications have also struggled to achieve financial sustainability. In the case of the now defunct Ca:sh innovation, long-term sustainability could not be attained owing to withdrawal of funding by its main sponsor, the Indian government.9 Indeed, the long-term viability of private funding for m-health innovations in developing countries has been questioned. In an analysis of the financial constraints encountered in scaling up the TeleDoc application, Singh31 argued for complementary government funding.
Despite some impressive results in the UHIN project, including scaling up from two to five health districts,14 institutionalization into the national health system has not yet been achieved. The UHIN project started as a commitment made by government leaders on MDGs at the G8 meeting in 2002. It was funded initially by the Canadian government. Substantial buy-in has been achieved with governments at the district level. However, this has not occurred at the national government level. This may jeopardize its future financial security.32
Despite these financial concerns, the UHIN project managed to attain international visibility. It has been transferred to neighbouring Mozambique and planning is under way in Rwanda. Information from the Mozambique project indicates that early involvement of the government has contributed immensely to its diffusion.32
From the above, it can therefore be surmised that direct or indirect government support affects the financial sustainability of m-health applications in developing countries. Governments at local/district, national and even international levels have a significant role to play.
International governmental and non-governmental financial support is also important. Funding from the Spanish government enabled the implementation of the EHAS project. Non-governmental international financiers may, however, have a different outlook. Engineering professionals, telecommunication companies and international development organizations all contributed to the EHAS project.
Frequent misalignment between international development strategies and local realities in developing countries has been observed as a major cause of failure of initiatives and of wasted resources.4 There has often been a lack of coherence between micro-level practices and strategic or macro-level policies.33 The outcomes of the m-health case studies are the results of micro-level practices within the health systems of developing countries. National and international policy initiatives, especially within the sphere of global health, are typical of macro-level practices. National and international grants, and social philanthropy, are important for sustainable m-health. So is institutional support from both national and international organizations. Institutional and financial support from national and district governments is required for long-term, successful m-health.
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