MobileActive.org

Patient data collection and emergency health service is the primary challenge in developing countries. Risk assessment of pregnant mother and healthcare based on priority is almost impossible in present health service of Bangladesh.

A pilot study was done in three urban slums of Dhaka where BRAC health workers were provided with mobiles. A smart algorithm was incorporated in the mobiles. The mobile solution came up with useful findings. The health workers now could send data directly to central MIS system which reduced previous time lag. A secure web page contained all the patient data which was accessible by BRAC Personnel from anywhere any time. An automated risk assessing decision tree categorized the patients depending on their risk levels for timely treatment.

The mobile solution proposed a pro-active, cost-effective platform for rapid health service for pregnant mothers and neonates with reduced manpower.

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.

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.

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.

A PDA-based program for data collection was developed using Open-Source tools. In two cross-sectional studies, we compared data concerning sexual behavior collected with paper forms to data collected with PDA-based forms in Ancon (Lima).

The first study enrolled 200 participants (18–29 years). General agreement between data collected with paper format and handheld computers was 86%. Categorical variables agreement was between 70.5% and 98.5% while numeric variables agreement was between 57.1% and 79.8%. Agreement and correlation were higher in those who had completed at least high school than those with less education.

The second study enrolled 198 participants. Rates of responses to sensitive questions were similar between both kinds of questionnaires. However, the number of inconsistencies (p = 0.0001) and missing values (p = 0.001) were significantly higher in paper questionnaires.

This study showed the value of the use of handheld computers for collecting sensitive data, since a high level of agreement between paper and PDA responses was reached. In addition, a lower number of inconsistencies and missing values were found with the PDA-based system. This study has demonstrated that it is feasible to develop a low-cost application for handheld computers, and that PDAs are feasible alternatives for collecting field data in a developing country.

The ability to collect data is key to the success of many organizations operating in the developing world. Given the weaknesses of current tools and the surge in mobile phone growth, there's an opportunity for mobile and cloud technologies to enable timely and efficient data collection. This paper discusses Open Data Kit (ODK), a suite of tools that enable efficient and timely data collection on cell phones. ODK is designed to let users own, visualize, and share data without the difficulties of setting up and maintaining servers. The tools are easy to use, deploy, and scale. They also go beyond open source - they're based on open standards and supported by a larger community.

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.

Background: To investigate the feasibility, the ease of implementation, and the extent to which
community health workers with little experience of data collection could be trained and successfully supervised to collect data using mobile phones in a large baseline survey

Methods: A web-based system was developed to allow electronic surveys or questionnaires to be
designed on a word processor, sent to, and conducted on standard entry level mobile phones.

Results: The web-based interface permitted comprehensive daily real-time supervision of CHW
performance, with no data loss. The system permitted the early detection of data fabrication in
combination with real-time quality control and data collector supervision.

Conclusions: The benefits of mobile technology, combined with the improvement that mobile phones offer over PDA's in terms of data loss and uploading difficulties, make mobile phones a
feasible method of data collection that needs to be further explored.

Over four and a half billion people live in the developing world and require access to services in the financial, agricultural, business, government and healthcare sectors. Due to constraints of the existing infrastructure (power, communications, etc), it is often difficult to deliver these services to remote areas in a timely and efficient manner.

The CAM framework has found success as a flexible platform for quickly developing and deploying high-impact applications for these environments. Many of the applications built with CAM have relied on a model where a field worker with a mobile phone regularly returns from a disconnected environment to one with connectivity. In this connected state, the phone and a centralized server can exchange information and get the collected data backed up on reliable media.

We propose extending CAM’s networking model to enable continual operation in disconnected environments. Using a set of heterogeneous paths made available through social and geographic relationships naturally present among workers, we describe a system for asynchronously routing data in a best-effort manner.

The overall goal of the PDAs for Malaria Monitoring in Maputo and Gaza Provinces, Centre was to improve the management of public health dat using handheld computers in order to provide the malaria program the Lubombo Spatial Development Initiative (LSDI) with appropriate assessment tools and the ability to make informed decisions.

The specific objectives of the project that would contribute to the achievement of the overall goal were

1. to enable personnel from District level of the health service to collect data and provide it to the Provincial level in a timely fashion;
2. to develop training courses and appropriate collection tools designed for use with handheld computers; and
3. to evaluate the utility of handheld computers for the malaria control program to provide data rapidly and accurately to allow better targeting of interventions and resources.

AED-SATELLIFE developed and successfully deployed electronic data collection tools which catalog drug and rapid diagnostic test stocks; spray operators daily work performance; weekly health facility data; localization of individual households with GPS, including demographic data on household members, house structure and divisions; and health facility surveys linked to GPS positioning. Training materials were developed inPortuguese.

Independent evaluation confirmed that the electronic data collection/transmission tools proved to be a useful, adoptable, and result in higher user satisfaction compared to paper based approaches. Some challenges need to be addressed before there can be widespread adoption of the technology, such as limited infrastructure, especially cellular coverage.