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Description

Abstract:
During the 2014 West African Ebola Virus outbreak it became apparent that the initial response to the outbreak was hampered by limitations in the collection, aggregation, analysis and use of data for intervention planning. As part of the post-Ebola recovery phase, IBM Research Africa partnered with the Port Loko District Health Management Team (DHMT) in Sierra Leone and GOAL Global, to design, implement and deploy a web-based decision support tool for district-level disease surveillance. This paper discusses the design process and the functionality of the first version of the system. The paper presents evaluation results prior to a pilot deployment and identifies features for future iterations. A qualitative assessment of the tool prior to pilot deployment indicates that it improves the timeliness and ease of using data for making decisions at the DHMT level.

Learning Objective 1: Formative evaluation of a system to reduce 'data overload' in District Health Management Teams in low resource health settings, to enable more data-driven decision making.

Authors:

Meenal Pore (Presenter)
IBM Research - Africa

David Sengeh, IBM Research - Africa
Purity Mugambi, IBM Research - Africa
Nuri Purswani, IBM Research - Africa
Tom Sesay, Port Loko DHMT
Anna Lena Arnold, GOAL Global
Ralph Myers, GOAL Global
Anh-Minh Tran, GOAL Global

Presentation Materials:

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