USAID/Defeat TB project, University Research Co., Kampala, Uganda.
Infectious Diseases Institute (IDI), Makerere University College of Health Sciences, Kampala, Uganda.
Afr Health Sci. 2023 Dec;23(4):13-20. doi: 10.4314/ahs.v23i4.3.
Before 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.
We 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.
The 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.
The 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.
2018 年之前，由于结核病（TB）平行报告系统需要投入大量资源，而且工作重复，因此乌干达国家结核病和麻风病规划（NLTP）需要选择一个能够更好地报告结核病病例的系统。我们旨在分析两个系统之间的报告率差异，以提高 NLTP 的结核病病例报告率、物流管理和规划，从而为更好的卫生服务提供倡议。
我们进行了一项比较研究，以评估 2016 年 1 月至 2017 年 12 月期间基于网络的 DHIS2 和区结核病主管领导的卫生管理信息系统之间的结核病病例报告情况。我们使用泊松回归分析来评估两个报告系统之间报告率的统计学差异。
TB 病例报告与报告系统类型之间的关联具有统计学意义（Prob > chi2 = 0.0000）。启用网络的 DHIS2 系统与区结核病主管领导的卫生管理信息系统相比，发病率比值（IRR）为 1.106625。
基于网络的集成 DHIS2 系统在报告缺失的结核病病例方面更为有效。这为在资源有限的情况下更好地规划和分配资源以改善服务提供提供了机会。
