This project looks at how electronic data collection tools could be used to support the collection of disease data, specifically illness, disability or conditions that result from having the disease.
Assessing Electronic Data Collection Tools, Pathways and HMIS Integration for Leprosy and LF MMDP Data to Improve Service Delivery
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Project summary
For those working with NTDs, it can be challenging to have enough information on the diseases and their conditions, such as the burden of disabilities. There is often limited data on the treatment people receive, their follow-up, and any reactions they may have. At the same time, there is now an increased availability of electronic data collection tools, various applications that run on smart-phones to support data collection. These tools are now being used in a variety of settings across global health to conduct surveys, take photos, and collect information. These tools are now fairly robust with a number of settings and features that can be customized to specific needs and settings.
The primary research question of this study looks at how these electronic data collection tools could be used to support the collection of disease data, specifically illness, disability or conditions that result from having the disease. The research team is interested in assessing how this data could be used to improve planning and implementation of care and services to support patients. The study will consist of three components: a tools search and review, an in-depth study of tool implementation, and an evaluation of how data collected can be utilized to support patient care. The tools search will gather information on which tools are currently being used to collect data related to NTDs. The research team will look at existing literature and publications, as well as send out a survey to other organizations to see who is using electronic or application-based data collection tools. The second component will involve a detailed assessment to evaluate the entire process of using tools in two countries: DHIS2 in Tanzania and ODK in Ghana. The last and final component will involve looking at the data collected and determining how it can be used to support patient-care. The research team will provide recommendations on the type of data that should be collected and how health workers can use the information to provide improved treatment and care for patients to reduce disability.