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This paper presents Open Data Kit (ODK), an extensible, open-source suite of tools designed to build information services for developing regions. ODK currently provides four tools to this end: Collect, Aggregate, Voice, and Build. Collect is a mobile platform that renders application logic and supports the manipulation of data. Aggregate provides a “click-to-deploy” server that supports data storage and transfer in the “cloud” or on local servers. Voice renders application logic using phone prompts that users respond to with keypad presses. Finally, Build is a application designer that generates the logic used by the tools. Designed to be used together or independently, ODK core tools build on existing open standards and are supported by an open-source community that has contributed additional tools. We describe four deployments that demonstrate how the decisions made in the system architecture of ODK enable services that can both push and pull information in developing regions.

Although para-social workers carry the primary responsibility in providing essential services to the growing population of orphans and vulnerable children in Tanzania, they are often not paid for this work. Moreover, these para-social workers are unable to access governmental resources due to the lack of an efficient means of reporting their needs to relevant government officials in a timely manner.

In this paper we describe a text message (SMS) based solution that harnesses the prevalence of mobile phones coupled with several Open Source tools to empower these para-social workers. Specifically, we build a more efficient mechanism for reporting summary data on orphans and vulnerable children to relevant government officials in a cost-effective and efficient manner. This paper reports on our needs assessment process, reviews the related work, describes the implementation and testing of our prototype solution, and concludes with a discussion of relevant future work.

In November 2009, the USAID | DELIVER PROJECT office in Zambia, with technical assistance from the home office, conducted the End-Use Verification activity to assess the performance of the logistics management and supply chain systems for selected essential drugs, malaria and family planning commodities.

The survey was used in conjunction with the ongoing Essential Drugs Logistics System Pilot in Zambia, and overall objective was to assess how the logistics systems managed selected commodities at public health institutions, as well as provide a snapshot of how malaria was being diagnosed and treated at lower level facilities. This report presents the findings of the assessment as well as the short- and long-term recommendations to successfully implement the End-Use process, as well as the use of EpiSurveyor for regular data collection purposes.

In the context of the rapid growth of mobile phone penetration in developing countries, mobile telephony is currently considered to be particularly important for development. Yet, until recently, very little systematic evidence was available that shed light on the developmental impacts of mobile telecommunication. The Information and Communication Technology for Development (ICT4D) program of the International Development Research Centre (IDRC), Canada, has played a critical role in filling some of the research gaps through its partnerships with several key actors in this area.

The objective of this paper is to evaluate the case of mobile phones as a tool in solving development problems drawing from the evidence of IDRC supported projects. IDRC has supported around 20 projects that cut across several themes such as livelihoods, poverty reduction, health, education, the environment and disasters. The projects will be analyzed by theme in order to provide a thematic overview as well as a comparative analysis of the development role of mobile phones. In exploring the evidence from completed projects as well as the foci of new projects, the paper summarizes and critically assesses the key findings and suggests possible avenues for future research.

The Health Impact Fund (HIF) is a proposal designed to incentivize pharmaceutical innovation by rewarding the development of new medicines in proportion to their health impact. The health care sector is plagued by wastage and poor governance, especially in developing countries. The MHIF system is a mobile payment and data collection system designed to enhance transparency and accountability, whilst improving the quality of data available for impact assessment. It also provides a platform for reporting misuse and abuse. The system is designed to mitigate some of the deployment challenges of the HIF and to act as a springboard for further expansion into broader mobile health (MHealth) solutions.

This guide provides an inexpensive way to create an SMS communications network to enable healthcare field workers as they serve communities and their patients. The steps are purposefully simple – the system is easy to set up, use and maintain.

Answers to Frequently Asked Questions:

1. Who might benefit from a text-based communications network?
2. What are the benefits for my hospital, clinic or organization and the people it serves?
3. What technology do I need?
4. Do I need an internet connection?
5. How expensive is an SMS network?
6. How do I distribute communication credit?
7. How much staff training is required?
8. How much time does it take, per day, to manage the SMS network?
9. How do I conduct SMS training?
10. What is the best power source for the cell phones?
11. Do the CHWs communicate with each other?
12. Where can I find more information on FrontlineSMS?

It is believed that once groups acquire information and communication technologies (ICTs), they will prosper. When the most marginalized members of society have better access to information and knowledge, the likelihood of improving their livelihoods also increases. Past literature has dealt with the difficulties that such groups have had in accessing and acquiring technology because of institutional obstacles. This thesis examines the institutional obstacles and constraints faced by groups once they have
acquired ICTs.

I intend to examine why, despite the rapid diffusion of ICTs in developing countries over the past decade, there has not been a dramatic improvement in the alleviation of poverty. In particular, this thesis will explore the use of mobile phones in the context of development and poverty reduction in Sub-Saharan Africa and the relationship between institutions and local stakeholders to strengthen livelihoods.

This thesis hypothesizes that development initiatives using a collaborative, hybrid approach that integrates effective institutional involvement with inclusive grassroots participation will be more sustainable and scalable than those that attempt solely topdown or bottom-up approaches. In other words, initiatives devised by institutions that rely upon structures incorporating local communities into projects will be found to be more successful in both the short-term and long-run. Case studies have been selected to illustrate how this hybrid approach is ultimately more successful in improving the livelihoods of the rural poor than approaches that are either primarily driven by the topdown or bottom-up.

The four cases considered in this thesis will describe the extent to which projects or initiatives using mobile phones have been successful in meeting the needs of local beneficiaries and improving their livelihoods.

This paper presents a case study of the efficiency gains resulting from the introduction of electronic technologies to monitor and support adherence to highly active antiretroviral therapy (HAART) in Guguletu, South Africa. It suggests that the rollout of HAART to such resource-poor communities can be assisted significantly by the introduction of modified cellphones (to provide home based support to people on HAART and improve the management of adherence data) and simple barcoding and scanning equipment (to manage drug supplies). The cellphones have improved the management of information, and simplified the working lives of therapeutic counsellors, thereby enabling them to spend less time on administration and to devote a constant amount of time per
patient even though their case loads have risen threefold. It has helped integrate the local-level
primary health service provision of HAART with the kind of centralised data capture and analysis
that could potentially support a national HAART rollout.

Handheld computers have untapped potential to improve HIV/AIDS programs in sub-Saharan Africa, particularly in the collection of survey data. We conducted an experiment in three neighborhoods of Luanda, Angola to assess the impact of the technology on people’s comfort and willingness to disclose sensitive personal information, such as sexual behavior.

Participants were asked about their HIV/AIDSrelated knowledge, attitudes, and practices by local interviewers using either handheld computers or paper surveys. T-tests showed no differences between participants’ self-reported comfort across handheld and paper conditions. However, participants in the handheld condition were more likely to give socially desirable responses to the sexual behavior questions than participants in the paper condition. These results suggest that using handheld computers in data collection in sub-Saharan Africa may lead to biased reports of HIV/AIDS-related risk behaviors.

Background: Survey data are traditionally collected using pen-and-paper, with double data entry, comparison of entries and reconciliation of discrepancies before data cleaning can commence. We used Personal Digital Assistants (PDAs) for data entry at the point of collection, to save time and enhance the quality of data in a survey of over 21,000 scattered rural households in southern Tanzania.

Methods: Pendragon Forms 4.0 software was used to develop a modular questionnaire designed to record information on household residents, birth histories, child health and health-seeking behaviour. The questionnaire was loaded onto Palm m130 PDAs with 8 Mb RAM. One hundred and twenty interviewers, the vast majority with no more than four years of secondary education and very few with any prior computer experience, were trained to interview using the PDAs. Logical checks were performed and skip patterns taken care of at the time of data entry. Data records could not be edited after leaving each household, to ensure the integrity of the data from each interview. A small group of interviewees from the community, as well as supervisors and interviewers, were asked about their attitudes to the use of PDAs.

Results: Following two weeks of training and piloting, data were collected from 21,600 households (83,346 individuals) over a seven-week period in July-August 2004. No PDA-related problems or data loss were encountered. Fieldwork ended on 26 August 2004, the full dataset was available on a CD within 24 hours and the results of initial analyses were presented to district authorities on 28 August. Data completeness was over 99%. The PDAs were well accepted by both interviewees and interviewers.

Conclusion: The use of PDAs eliminated the usual time-consuming and error-prone process of data entry and validation. PDAs are a promising tool for field research in Africa.

Epi Data and Epi Info are often used together by public health agencies around the world, particularly in developing countries, to meet their needs of low-cost public health data management; however, the current open source data management technology lacks a mobile component to meet the needs of mobile public health data collectors. The goal of this project is to explore the opportunity of filling this gap through developing and trial of a personal digital assistant (PDA) based data collection/entry system. It evaluated whether such a system could increase efficiency and reduce data transcription errors for public surveillance data collection in developing countries represented by Fiji.

120 participants were recruited from the Fiji School of Medicine were randomly assigned to be interviewed by one of six interviewers in one of the two ways: (1) paper-based survey followed by PDA survey and (2) PDA survey followed by paper-based survey. Data quality was measured by error rates (logical range errors/inconsistencies, skip errors, missing values, date or time field errors and incorrect data type). Work flow and cost were evaluated in three stages of the survey process: (1) preparation of data collection instrument, (2) data collection and (3) data entry, validation and cleaning. User acceptance was also evaluated in the two groups of participants: (1) data collectors and (2) survey participants.

None of the errors presented in 20.8% of the paper questionnaires was found in the data set collected using PDA. Sixty-two percent of the participants perceived that the PDA-based questionnaire took less time to complete. Data entry, validation and cleaning for the PDA-based data collection from 120 participants took a total of 1.5 h, a 93.26% reduction of time from 20.5h required using paper and pen. The cost is also significantly reduced with PDA-based protocol. Both data collectors and participants prefer to use PDA instead of paper for data collection. The trial results prove that eSTEPS is a feasible solution for public health surveillance data collection in the field. Several deficiencies of the softwarewere also identified and would be addressed in the next version.

eSTEPS offers the potential to meet the need for an effective mobile public health data collection tool for use in the field. The eSTEPS field trial proves that PDA was more efficient than paper for public health survey data collection. It also significantly reduced errors in data entry. The later benefit was derived from the software providing its users with the flexibility of building their own constraints to control the data type, range and logic of data entry.

During a study conducted in January 2010 by researchers of the Columbia University Mechanical Engineering Department in New York City, approximately 300 farmers were surveyed in rural Mali. Farmers were randomly sampled via standard proportional, stratified, cluster techniques. Data collection took place through the use of HTC G1 smartphones running Google’s Android operating system. The phones were equipped with Open Data Kit (ODK) software; a system that immediately digitizes data for analysis, allows for remote monitoring of the collection progress, and facilitates the gathering of data, eliminating the need for paper surveys and therefore significantly reducing survey times. ODK has the potential for a profound impact on the future of data gathering, particularly in development applications where locations may be remote and budgets tight, yet where mobile phone use is rapidly increasing with the expansion of service
coverage.