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[view this table] | Table 3. Example of mHealth applications utilizing 1-way, 2-way, or multiway communication. |
One-Way, Two-Way, or Multiway Applications
Communication between a sender and receiver can occur in more than 1 direction and within varying group sizes. One-way communication is similar to mass media that distributes information in 1 direction. mHealth innovations have typically been designed as 1-way communications in which projects use ?push? technology to deliver information to subscribers? phones by using messages tailored to personal needs. Most commonly identified push designs include bulk short message service (SMS) or robocalls to large audiences.
Two-way communication is interactive and more similar to interpersonal communication. For users, interactivity may require greater effort and generate greater interest. Interactive quizzes, information menus, data collection and tailored responses, hotlines, and interactive voice responses are examples of 2-way communication [5]. Although most 2-way communication does not occur in real time, some applications, such as closed user groups or voice over IP (VoIP) for remote health consultations and health worker training, do use real-time communication [6].
Multiway communication can vary the number of senders and receivers, including 1-to-many, many-to-1, and many-to-many communication. Many-to-many communications include social media applications, such as Facebook or Twitter, that can be accessed from most Internet-enabled mobile phones. Most mHealth projects used a combination of 1-way and 2-way communication methods pertinent to several themed categories in Table 2, whereas only a few projects could be identified that used social media.
Education and Awareness
The Cellphones4HIV project in South Africa described by de Tolly and Alexander [13] sends out messages on antiretroviral treatment adherence using Unstructured Supplementary Service Data (USSD) (ie, the system used to load airtime), Mxit (a Java application that allows general packet radio service [GPRS] or 3G-based instant messaging) and voicemail messages pushed into the user?s voicemail inbox with notification by SMS. Push designs were found to have differing capabilities, limitations, and requirements, but may be combined, adapted, or further expanded as technology evolves.
Projects for remote health information dissemination, like Project Masiluleke [14] and Text-to-Change (TTC) [15], have reached large audiences with information on HIV prevention and treatment using ?please call me? (PCM) messages and bulk SMS. PCM messages have been widely used in mHealth projects in Africa because they are free for senders and can be sent from phones that have no credit. Project Masiluleke in South Africa sent 1 million PCM messages per day for 1 year, offering contact information for local HIV and tuberculosis call centers [14].Within 5 months, calls to South Africa?s National AIDS helpline quadrupled [16]. In Uganda, TCC used a bulk SMS platform to create dialog and increase awareness of HIV in order to reduce related stigma and discrimination, and motivate people to seek HIV testing and treatment [15]. TTC also sent out quizzes and information about HIV prevention and testing, awarding those who pass the quiz with airtime. Of 15,000 subscribers contacted by TTC, 2500 responded to each question.
In FHI360-SATELLIFE?s Uganda Health Information Network (UHIN) project, continuing medical education targeted to health workers was broadcast 3 times per week via PDAs regarding diagnosis, treatment, and prevention of major health problems [17]. In addition, they received daily news from mainstream media. Other projects used SMS for behavior-change communication. The Text2Teach project gave Philippine teachers a mobile phone texting platform to receive videos via satellite over school-based televisions and mobile technology involving parents [18]. Behavior-change communication can be used in various applications, from family planning and teenage pregnancy to disease awareness and prevention to advice on agricultural and farming techniques.
Social networks, such as Facebook, Twitter, or Hi5, are used by hundreds of millions of people to communicate about a huge range of topics, including health. The WHO used Twitter during the influenza A (H1N1) pandemic and, at time of writing, had more than 11,700 followers from all over the world [19]. In Mozambique, the nonprofit organization DKT International launched a social franchising program, branded as Intimo, that uses social media to increase access to its clinics. Its Facebook page reaches over 6600 Mozambicans (85% between the ages of 18 and 34 years) with information on family planning and reproductive health [20]. In Indonesia, the Fiesta condom brand has used Facebook, Twitter, and YouTube to talk about safe sex and condom use [21].
Community Health Worker Program Innovations for Education and Awareness
Through SMS with community members and community health workers, mHealth has opportunities to communicate health messages directly and simultaneously [22]. The SMS campaigns for health education, promotion, and awareness typically used SMS to disseminate information and prevention messaging or direct patients to services. Mobile phones also present opportunities for community health workers to communicate directly with one another and provide peer support [4]. To provide additional support to community health workers during home visits, the Tanzanian Mobile Video for Community Health Workers project used the CommCare tool to provide health education videos played on mobile phones [23].
Stakeholders suggested expanding 1-way to 2-way communications, including introducing a referral alert process in which community health workers call health facilities before the patients? arrival [4]. Establishing call-in services for each health facility could also allow community health workers to receive updated information on drug stocks, attendance records, and other relevant information. In addition, appointment confirmation texts for referred patients with time, date, and appointment location could be effective, as well as SMS alerts to community health workers about appointments attended by referred patients. Texts or SMS could also be used by health facility workers and community health workers to keep each other informed of recent developments and upcoming events, including SMS to community health workers on their birthday for motivation [4].
The concern that national privacy laws can hinder projects from accessing the target beneficiaries? personal phone numbers was raised. One stakeholder mentioned a project in which a collection of mobile phone numbers for health workers to send push messages had to be stopped after concerns were raised about the assumption that all health providers had given their permission to allow projects to reach them on their telephones (J Tibenderana, personal communication, September 2010).
Data Access
Innovations in mHealth can conceivably change how data are used in health programs, leading to faster, decentralized decision making and reallocation of resources due to faster data analysis [22]. Handheld computers, PDAs, or laptops for data collection and reporting can use 1- or 2-way communication systems. RapidSMS has established a 2-way flow of communication that empowers stakeholders with a dynamic tool for fast, efficient, and accurate data collection, analysis, and communication [24]. In addition, SMS-based data for health care workers can identify, diagnose, and track patients by using streamlined technology that is automatically updated in a central system.
Twelve Ugandan projects used mobile technology for data collection and reporting [9]. Most were designed as 1-way communication systems to improve data collection or management in surveys, routine care, and vaccine trials.
Community Health Worker Program Innovations for Data Access
Although there is little evidence of the effectiveness of community health workers collecting and self-reporting data from patient records, mobile phones have been suggested as a useful tool for rural health workers? reporting of data as it is suggested it improves accuracy, reduces time and cost, and improves data quality [19]. A cost-effectiveness study showed that using PDAs for data collection delivered 24% savings per unit of spending over traditional manual data collection and transmission approaches [25]. However, use of PDAs in a Rwandan ICCM program exacerbated, rather than lessened, volunteer workload [4]; mobile phone-assisted data collection became onerous and was felt to have distanced community health workers from the human side of their role, turning them into ?data collection robots.?
Blaschke et al [26] and the Millennium Villages Project [27] describe the use of ChildCount+ that uses mobile technologies for improving data use and reporting among community health workers in several African countries, including Malawi and Uganda. This platform, developed by the Millennium Villages Project, aimed to improve maternal and child survival by supporting delivery of community-based management of acute malnutrition, malaria, and diarrhea. Three months after initiation, 95% of 9561 children under 5 years in the Malawian cluster had been registered using mobile technology, and only approximately 10% of incoming messages to the system were rejected due to improper formatting [26]. The RapidSMS platform used led to significant reduction in data transmission delay compared to Malawi?s current paper-based system.
Monitoring and Compliance
Text messaging via mobile phones has garnered increasing attention as a means of reminding patients of appointments in the United Kingdom, United States, Norway, and Sweden. This resulted in a lowering of nonattendance to scheduled appointments, yielding significant savings in health costs for facilities and practitioners [28]. In this case, the benefit is cost-related rather than health outcome-related.
In addition, SMS has also been used as a way of monitoring patients? medication compliance. However, literature on treatment compliance has focused primarily on management of chronic diseases, such as diabetes, smoking cessation, and breast cancer, in high-income countries and few examples exist from low- and middle-income countries [5]. A South African trial showed tuberculosis patients with increased compliance rates, and a Thai study showed that 90% of tuberculosis patients receiving daily SMS medication reminders adhered to treatment [7,12]. A Kenyan efficacy study provided 428 HIV patients with mobile phones and randomized patients to receive daily, weekly, or no SMS reminders. Treatment adherence was improved for patients receiving weekly, but not daily, SMS and treatment interruptions were less likely [29]. Adding words of encouragement to an SMS did not prove more effective and confidentiality was a concern.
To improve medicine compliance and adherence to antiretroviral drugs in Uganda, a medical container called Wisepill was used to transmit a cellular signal whenever opened, send weekly SMS at preset times, and provide interactive voice response [30]. A similar project, SIMpill, monitored adherence to tuberculosis drugs in South Africa [31]. Few randomized controlled trials studying treatment compliance were found, and statistically significant results were limited by sample size; mixed results have been found in other studies [32]. A strong focus on feasibility and usability was evident, with little connection to health outcomes [5].
Other mHealth applications can be used to improve compliance to guidelines by health workers. A proof-of-concept randomized controlled Kenyan trial on adherence to malaria treatment guidelines used 10 carefully designed SMSs with drug delivery instructions and an unrelated motivational message to aid rural health facility workers [33]. Both immediate and 6-month analyses showed improved malaria case management. The trial is undergoing cost-effectiveness analysis and qualitative analysis to examine possible added burdens on health workers.
Community Health Worker Program Innovations for Monitoring Compliance
A randomized controlled trial delivered SMS to community-based peer health workers in rural Uganda supporting antiretroviral treatment for HIV patients [34]. No virological differences in patient outcome over 26 months were observed, but limited qualitative data showed improvements in patient care, logistics, and broad support from health workers and patients. Improvements in peer health worker morale and confidence were reported; peer health worker-patient relationships improved, shifting burdens from staff-patient relationships. As compared to voice calls, reservations about the lack of immediate response via SMS were noted, privacy concerns were raised, and phone maintenance and charging were also problematic.
Disease and Emergency Tracking
Several countries have used mHealth innovations for not only disease tracking, but also for supply tracking. The Foundation for Innovative New Diagnostics (FIND) deployed RapidSMS in 2 districts in Uganda and worked with health centers to submit and map weekly epidemiological records, malaria case management, and malaria medicine stock reports [35]. The platform EpiSurveyor has also been widely used for emergency response and tracking supplies. It allows users to download, fill, and send forms to central databases for real-time analysis [36].
Mobile phones and Web-based technologies have also been used for early warning of disease outbreaks. The Acute Encephalitis Syndrome Surveillance Information System (AESSIMS) project in India aimed to improve immunization services for Japanese B encephalitis, diphtheria, hepatitis B, measles, pertussis, tetanus, and polio by tracking diseases in real time [37].
Reports have described mobile technology use during natural disasters, including the earthquakes in China in 2008 and Haiti in 2010 [38,39]. Mobile phones were primarily used for tracking population movements, infectious disease reporting, and coordinating search and rescue missions. Studies investigating mobile phone use for telemedicine during emergencies found them effective for relatively fast and accurate in-transit patient treatment, sending images for diagnosis, and using video capabilities.
Community Health Worker Program Innovations for Disease and Emergency Warning Systems
As part of Cambodia?s malaria elimination strategy, the National Center for Parasitology, Entomology and Malaria Control (CNM), with technical support from Malaria Consortium and WHO, village malaria workers are trained to send SMSs to report malaria cases in real time [40]. These SMS messages also support the paper reporting that feeds into the health information system from the health centers. The project had low start-up costs, estimated at US $100 for each village malaria worker, which includes a mobile phone, subscriber identity module (SIM) card, solar charger, and training. Because of the effective cooperation with the private sector, all SMS messaging is free resulting in essentially zero maintenance costs [41].
In areas where outbreaks of disease occur, community health workers could use mHealth to track medicine stocks (eg, FIND) and report observed cases with daily case statistics delivered using FrontlineSMS [40]. Community health workers can also minimize the impact of outbreaks by disseminating educational information about disease prevention and handling. In the Healthy Child Uganda project, community health workers used mobile phones to send emergency alerts and requisition supplies to support ICCM activities in treating pneumonia, diarrhea, and malaria [42].
Health Information Systems
Health administration systems are used for epidemiological research, tracking of indicators for monitoring and evaluation, and financial and cost reporting for supply management [6]. Mozambique used PDAs to support collection of data from health records [43]. The stand-alone system, known as ?m?dulo b?sico,? has now been implemented in all provinces and districts in the country [44].
Several African countries, including Mozambique and Uganda, have tested 2-way access to district health information by using mobile phone networks and low-cost PDAs for data dissemination, collection and reporting, and email exchange [17,45]. The Mozambique Health Information Network (MHIN) set up data transfer via PDAs using wireless access points and a server located at the Ministry of Health in Mozambique. District health offices received data from health centers and used the network to monitor drug stocks and guide orders. Up to 50% improvement in data quality was observed. The MHIN services are expanding to additional districts and cost-benefit analyses comparing MHIN- and paper-based approaches are planned [45].
The same team who worked on MHIN also set up UHIN in Uganda [17]. Health workers used PDAs to collect and upload data and emails via infrared, Bluetooth, or Wi-Fi at rural health facilities. The access point sent data and messages via mobile networks to the server, which routed them to the correct recipients and sent return messages with data and health information.
The public-private SMS for Life project in Tanzania used mobile phones and electronic mapping technology to generate and deliver weekly information to health centers on malaria medicines [46]. The project proved successful, and medicine stock-out rates were significantly reduced within 21 days.
Sustainability of countrywide mHealth programs relies on incorporation with the national health care program of the country, yet few African countries have developed national eHealth or mHealth policies, strategies, or guidelines [5]. Much of this is because of the limited knowledge of what works, how it works, and how much it costs. An exception is Ethiopia, where a national policy for eHealth is about to be launched [47].
Community Health Worker Program Innovations for Health Information Systems
Few studies have examined health information and administration systems that include community health workers. The ICT4MPOWER project is a 3-year proof-of-concept project in Uganda aiming to increase health system effectiveness and empower community health workers in rural areas by aiding referrals and patient follow-up, while ensuring transfer of skills and knowledge to health workers [48]. The Tanzanian CommCare project provided a community health mobile platform, enabling community health workers to provide more efficient care and to receive better supervision [49]. Such projects indicate the great potential to link community health workers with health administration systems by using mobile technologies that would add value to government health policy, providing integrated health data and a dynamic picture of national health care provision.
Diagnosis and Consultation
Use of electronic technologies to provide support for diagnosis, consultation, and treatment activities conducted by remote caregivers is increasingly common. Mobile phones can be used as respiratory or pulse rate counters, gestational age date calculators, drug dose calculators, drip rate calculators, and drug reminder alarms when installed in mobile phones and linked to a sensor [50]. Another example of a diagnostic tool is CellScope, which uses a modified mobile phone for blood, urine, or other sample loading for malaria, HIV, and tuberculosis diagnosis [51]. None of these applications requires any transfer of data; hence, running costs are close to zero.
A pilot study of Electronic Integrated Management of Childhood Illnesses (eIMCI) in rural Tanzania, tested whether PDAs could improve diagnosis of children using IMCI protocols. The project was found to be feasible and acceptable to health workers in providing mobile decision support [52]. In addition, 6 Ugandan projects used mobile phones to send medical test results through SMS or email to patients and health workers; others used wireless devices to provide clinical training and patient care support services [9].
Community Health Worker Program Innovations for Diagnosis and Consultation
RapidSMS can be used in various ways, including supporting community health worker-patient interactions [24]. Mobile phones used as job aides could allow community health workers, via SMS or data transfer, to send patient information and receive instructions on how to proceed [27]. This could demonstrate program effectiveness to community health workers, potentially motivating continued work and better service [4]. In Colombia, the CellPhone GuideView system broke down complex diagnostic and treatment procedures into simple steps for community health workers using an authoring tool in which text, pictures, audio, and video were embedded to aid comprehension and ease of use [50,53]. Community health workers were then able to transmit images, data, and audio to remote experts for further advice.
The review revealed that there are very few formal outcome evaluations of mHealth in low-income countries. Although there is vast documentation of project process and uptake, most were evaluations of small-scale pilot studies that were not designed to demonstrate an impact on behavior change or health. There is also a lack of mHealth applications and services operating at scale in low- and middle-income countries. The most commonly documented use of mHealth was 1-way text-message and phone reminders to encourage follow-up appointments, healthy behaviors, and data gathering. Two-way communication applications focused primarily on data transmission with automated feedback response, and few projects were implementing real-time communication. Although some claim that social media can be an effective tool for engaging patients online [54], others argue that health institutions need to develop clear policies about the use of social media in patient care environments to ensure patient safety [55]. However, the majority of multiway and social media projects identified in this review were patient/user driven, such as Facebook or Twitter, with little or no involvement of treating physicians or nurses.
A limited number of mHealth projects were found which specifically targeted community health workers. Of the few projects identified, most used a combination of simple mobile phone applications for data submission, job aids to improve diagnostics, and for sending and receiving SMS messages and reminders. None of these projects had evaluated the impact of these tools on community health workers quality of care provided. Most projects used applications that communicated by using 1-way or 2-way SMS, whereas GPRS-enabled applications were rare. Although several projects tested applications that aimed to improve accuracy in community health worker data submission and clinical decision-making skills using electronic job aids [26,27,49], international stakeholders cautioned that these may result in community health workers focusing more on the technology than on the patient [4].
The key considerations for successful use of or expansion of mHealth innovations include collaboration, financing, literacy and cultural, partnerships, and technical considerations (Table 4). As a young field, mHealth is well positioned to benefit from best practices and available technology documented in various project reports. Sustainability and scalability are still the main challenges to the strategic deployment of mHealth applications, partly reflecting the gap between what application developers are doing on the ground and what the governments see as priorities and initiatives they need to step in and support [2]. Establishing true partnerships with users and policy makers throughout the design and implementation processes is critical for success and collaboration with operators could ensure technical support, make scale-up possible, and reduce costs to drive mHealth demand and innovation [4,5]. This is illustrated by examples from Ghana and Cambodia, where physicians registered with the Ghana Medical Association have access to unlimited calls through the mobile service operator, OneTouch [3], and where village malaria workers in Cambodia report malaria cases by using free SMS with Mobitel [40].
Source: http://www.jmir.org/2013/1/e17/
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