• Timothy Kiyemba, Rita Makabayi-Mugabe, Nicholas Sebuliba Kirirabwa, Philip Tumwesigye, Stella Zawedde-Muyanja, Andrew Ocero, Abel Nkolo, Ebony Quinto, and Stavia Turyahabwe.
• USAID/Defeat TB project, University Research Co., Kampala, Uganda.
• Afr Health Sci. 2023 Dec 1; 23 (4): 132013-20.

BackgroundBefore 2018, the use of parallel tuberculosis (TB) reporting systems was resource intensive with duplication of efforts and hence the need to select one that contributed to better TB case notification at the National TB and Leprosy Program (NLTP) in Uganda. We sought to analyse the difference in reporting rates between the two systems in order to improve NTLP TB case notification rates, logistics management, and planning for better health service delivery initiatives.MethodsWe conducted a comparative study to assess TB case notification between the web-based DHIS2 and the district TB supervisor-led health management information system between January 2016 to December 2017. We used Poisson regression analysis to assess the statistical differences in reporting rates between the two reporting systems.ResultsThe association between TB case notification and the type of reporting system was statistically significant (Prob > chi2 = 0.0000). The Incident Rate Ratio (IRR) for the web-enabled DHIS2 system versus the district TB supervisor-led health management information system was 1.106625.ConclusionThe web-based integrated DHIS2 system was more effective in reporting missing TB cases. It presents an opportunity for better planning and allocation of resources for improved service delivery in a low-income setting.© 2023 Kiyemba T et al.

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