Quality of routine health data in DHIS2 in South Africa: Eastern Cape province from 2017–2020

South African Journal of Information Management

 
 
Field Value
 
Title Quality of routine health data in DHIS2 in South Africa: Eastern Cape province from 2017–2020
 
Creator Thabethe, Sibusiso S. Mathews, Verona E.
 
Subject Health Information Systems; Data Quality, data quality; data dimensions; public health facilities; health information systems; routine health data; DHIS2
Description Background: Routine health information plays a significant role in managing the healthcare system to make informed decisions, monitor and evaluate, and take action to improve health outcomes. The Eastern Cape Department of Health (ECDoH) officially adopted the online District Health Information System (DHIS2) in 2017. However, evidence suggests that the underutilisation of routinely collected health information for management was often because of poor data quality in routine health information systems.Objectives: This study reviewed the level of quality of the routine health data in the DHIS2 using two quality dimensions, namely data completeness and internal consistency.Method: A retrospective study design was used to assess the quality of data for April 2017– March 2020 utilising the World Health Organization Data Quality Guidelines. Secondary data were extracted from the DHIS2 using standardised reports and captured in Microsoft Excel Office. A total of 265 health facilities and 77 data elements were included and analysed using descriptive analysis and a score grading system.Results: A total of 365 228 data element values were reported, 121 199 missing data values, unaccounted data values were at 248 153, about 6395 data values had outliers, and 5670 data values had validation errors. The rate of data completeness was 74.6%, the internal consistency was 95.1%, and the DHIS2 data quality was 84.9%.Conclusion: The study demonstrates the high quality of DHIS2 data in the ECDoH following the implementation of the online-based system. However, the significant number of missing data elements has impacted data completeness.Contribution: This study contributes to the body of knowledge on the importance of role of data quality for the utilisation routine health information systems as an essential tool for management in the health system.
 
Publisher AOSIS
 
Contributor
Date 2024-11-29
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Secondary Data Analysis
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajim.v26i1.1903
 
Source South African Journal of Information Management; Vol 26, No 1 (2024); 12 pages 1560-683X 2078-1865
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajim.co.za/index.php/sajim/article/view/1903/3042 https://sajim.co.za/index.php/sajim/article/view/1903/3043 https://sajim.co.za/index.php/sajim/article/view/1903/3044 https://sajim.co.za/index.php/sajim/article/view/1903/3045
 
Coverage — — —
Rights Copyright (c) 2024 Sibusiso S. Thabethe, Verona E. Mathews https://creativecommons.org/licenses/by/4.0
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