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Data Entry Form Designing Tools and Software Usability in DHIS2

Authors: Lawrence Fatsani Byson;

Data Entry Form Designing Tools and Software Usability in DHIS2

Abstract

The advent of configurable software has shifted the implementation of software solutions from total reliance on software developers to towards increased participation of end-users. End-users are now able to create software solutions without the need for writing code but through configuration and customisation. Despite the increasing use of configurable software challenges on designing the software platform architecture, process of testing and usability exists in configurable software. The research aimed at evaluating how available interface elements influence usability in DHIS2. Empirical data was collected by studying the design of custom data collection forms for routine health data collection with two groups of users. 80% and 90% were recorded as completion rates of the designed task and overall efficiency of 86.23% and 89.94% was achieved between the two groups. Lack of relevant editing features, increased distance between related objects, lack of conformity to Keep It Simple, Stupid (KISS) and minimalistic design principle were found to be the major challenges affecting the usability.

Related Organizations
Keywords

Data Collection, Records, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid