MobileActive.org

 We present a low-cost, energy-efficient system to remotely monitor the temperature and location of vaccines in a countrywide “cold-chain”. Our system is based on FoneAstra [11] – a low-cost, microcontroller-based, programmable device that extends capabilities of low-tier mobile phones that are commonly used in developing countries.

In the system discussed in this paper, FoneAstra is enhanced with a digital temperature sensor and integrated with a vaccine cold-box used to store vaccines in a temperature controlled environment. FoneAstra continuously monitors the temperature of the cold-box, aggregating readings over a period of time.

It uses the mobile phone to which it is coupled to send periodic SMS messages with routine temperature reports or immediate alerts if  it detects abnormal temperature conditions. Additionally, it enables location-tracking of vaccines in transit, based on the mobile phone’s cell tower-IDs.

We present results from an ongoing lab-deployment done at PATH [18], our Seattle-based partner NGO for this project. Over the next few months, we will deploy this temperature and location monitoring system for vaccine cold-chains in several countries in which PATH operates.

The client in this system, which includes a temperature sensor, FoneAstra and a mobile phone, costs $50; while the server, which includes a Netbook and a GSM modem, costs $500. We discuss how our system can scale up to enable large-scale monitoring while incurring low overhead costs.

While researchers are often depicted as either ‘social scientists’ or ‘technologists’ often their educational and ideological backgrounds are much richer than the two simple terms might imply.

This paper describes the methodology and approach of a qualitative researcher with a computer science background in investigating how information technology changes communications and information management practices within the health ecosystem constitutued by a health subsidy program in southwest Uganda.

Deploying and evaluating a new technology is a major challenge in ICTD research. Introducing new technologies can be hampered by a lack of cultural insight, poor or delayed feedback, and limited evaluation procedures, among other factors. 

This short paper offers a model for introducing technology in developing regions that mitigates these factors. We call these steps the “Huzzah method,” inspired by a quotation that rightly derides technology that is introduced from afar and poorly evaluated.

The paper also includes selected portions from other work on Tangaza, whose design, implementation, and analysis followed the Huzzah method.

While mobile phones have found broad application in reporting health, financial, and environmental data, there has been little study of the possible errors incurred during mobile data collection. This paper provides the first (to our knowledge) quantitative evaluation of data entry accuracy on mobile phones in a resource-poor setting.

Via a study of 13 users in Gujarat, India, we evaluated three user interfaces: 1) electronic forms, containing numeric fields and multiple-choice menus, 2) SMS, where users enter delimited text messages according to printed cue cards, and 3) voice, where users call an operator and dictate the data in real-time. Our results indicate error rates (per datum entered) of 4.2% for electronic forms, 4.5% for SMS, and 0.45% for voice.

These results caused us to migrate our own initiative (a tuberculosis treatment program in rural India) from electronic forms to voice, in order to avoid errors on critical health data. While our study has some limitations, including varied backgrounds and training of participants, it suggests that some care is needed in deploying electronic interfaces in resource-poor settings. Further, it raises the possibility of using voice as a low-tech, high-accuracy, and cost-effective interface for mobile data collection.

Claim Mobile is a platform designed to support a project that subsidizes healthcare by reimbursing health service providers in Uganda for treatment of patients with sexually transmitted infections. As with many development projects, the Uganda Output-Based Aid (OBA) project involves a number of stakeholders: the service providers, the project implementers,the financiers, and the Ugandan government. Design of an appropriate solution requires meeting the various and conflicting requirements of all of these stakeholders. In this paper we detail the rapid design and testing of a pilot implementation of a mobile and web-based system for processing claims forms, based on two prior field visits to Uganda. Based on a comparative device study, semi-structured interviews, health clinic surveys, and a brief deployment, we affirm the selection of the mobile phone as a platform from the health clinic perspective, and further suggest that effective design for development requires more than addressing requirements of the the “users” of the mobile phones but also all the other stakeholders involved, who may have conflicting requirements.

Participatory sensing technologies could improve our lives and our communities, but at what cost to our privacy? They place calls, surf the Internet, and there are close to 4 billion of them in the world. Their built-in microphones, cameras, and location awareness can collect images, sound, and GPS data. Beyond chatting and texting, these features could make phones ubiquitous, familiar tools for quantifying personal patterns and habits. They could also be platforms for thousands to document a neighborhood, gather evidence to make a case, or study mobility and health. This data could help you understand your daily carbon footprint, exposure to air pollution, exercise habits, and frequency of interactions with family and friends.

A 2010 Country Governance and Anti-Corruption (CGAC)-funded pilot in Guatemala employed entry-level mobile phones in conjunction with EpiSurveyor, a free, web-based software for data collection, to drastically reduce cost, facilitate accuracy and accelerate implementation of a nationally-representative beneficiary survey of Guatemala‘s conditional cash transfer program.

As such, it illustrates the potential of mobile phone-based data collection to strengthen program monitoring, evaluation and implementation, in particular in remote and marginalized areas highly populated by indigenous peoples.

Many services taken for granted in the developed world are often missing from the developing countries. One typical example is that of map systems that form the basis of several location-driven services. Its heavy reliance on content, provides a huge barrier towards building such systems. Further, in developing countries like India, the infrastructure typically has a history of unplanned development, leading to unorganized addresses and absence of standard naming conventions for roads. Detailed map systems such as online maps have only recently started becoming available but for major cities. Remote towns and villages remain out of reach till date.

In this paper, we investigate a community-driven approach for creating maps in developing regions - following Web 2.0 principles, but not entirely relying on the existing Web. Our system, dubbed FOLKSOMAPS is an intelligent, community constructed map system, particularly architected with developing regions in mind. We present the design of FOLKSOMAPS, followed by an implementation of our proof-of-concept system. We present user studies aimed at understanding the uptake, usability and utility of FOLKSOMAPS. The results indicate a strong need for such a community-generated mapping ecosystem.

Still in its infancy, mHealth, the use of mobile technologies for health, runs the risk of not realizing its full potential due to small-scale implementations and pilot projects with limited reach. To help shed light on these issues, the mHealth Alliance commissioned an in-depth exploration of the policy barriers and research gaps facing mHealth. The review identified significant gaps in mHealth knowledge stemming from the limited scale and scope of mHealth implementation and evaluation, a policy environment that does not link health objectives and related metrics to available mHealth tools and systems, and little investment in cost-benefit studies to assess mHealth value and health outcomes research to assess success factors and weed out poor investments.

As illustrated throughout the literature, the current single-solution focus of mHealth needs to be replaced by using mHealth as an extension and integrator of underlying health information systems along the continuum of care. Creating a strong collaborative foundation will be instrumental in driving and positioning public and private investment in mHealth in a way that contributes to achieving improved access to health information and services, health outcomes, and efficiencies.

Within such structured paradigms, planning for infrastructure investment and human resources capacity strengthening and identifying public and private stakeholders within the ecosystem to take leadership for the development, testing, implementation, and evaluation of mHealth activities can be appropriately mapped and planned and mHealth services more effectively extended to support the health of citizens and the work of health professionals and administrators.