Conference abstract
Improved TB data analysis and use at the district level in Tanzania
Pan African Medical Journal - Conference Proceedings. 2024:21(17).29
Apr 2024.
doi: 10.11604/pamj-cp.2024.21.17.2348
Archived on: 29 Apr 2024
Contact the corresponding author
Keywords: Tuberculosis, data, training sessions
Oral presentation
Improved TB data analysis and use at the district level in Tanzania
Pamela Kisoka1,&, Mageda Kihulya
1President´s Office Regional Administration and Local Government, Tanzania
&Corresponding author
Introduction: Tuberculosis (TB) remains a significant public health challenge in Tanzania, marked by a high incidence rate and mortality. There were 128,000 new TB cases and 18,100 deaths attributed to Tuberculosis in 2022. A standardized monitoring and evaluation (M&E) system, particularly an electronic case-based TB surveillance system, DHIS 2 ETL, is in place to monitor interventions. However, there is a gap in knowledge and skills among coordinators at various levels, particularly in data analysis, interpretation, and utilization. Therefore, there is a need for a harmonized, user-friendly data analysis and interpretation tool specifically tailored for regional and district TB coordinators to address this gap.
Methods: we developed a user-friendly data analysis and interpretation tool. To facilitate its adoption, training sessions were conducted to familiarize regional and district coordinators. Ongoing support mechanisms were established to ensure continued proficiency and effective utilization of the tool.
Results: extensive adoption of the tool in all districts in Tanzania, enabling regional and district TB coordinators to independently extract, analyze, and interpret TB surveillance data from the DHIS2 ETL. There are improved reporting timelines, data quality, and capability to identify and communicate significant trends in TB and leprosy key indicators.
Conclusion: the successful deployment of the data analysis tool underscores its efficacy in promoting efficient TB data utilization at the district level. The enhanced capacity of regional and district TB coordinators has improved local effective decision-making and resource allocation. It has also established a foundation for a stronger and standardized national reporting system.
Improved TB data analysis and use at the district level in Tanzania
Pamela Kisoka1,&, Mageda Kihulya
1President´s Office Regional Administration and Local Government, Tanzania
&Corresponding author
Introduction: Tuberculosis (TB) remains a significant public health challenge in Tanzania, marked by a high incidence rate and mortality. There were 128,000 new TB cases and 18,100 deaths attributed to Tuberculosis in 2022. A standardized monitoring and evaluation (M&E) system, particularly an electronic case-based TB surveillance system, DHIS 2 ETL, is in place to monitor interventions. However, there is a gap in knowledge and skills among coordinators at various levels, particularly in data analysis, interpretation, and utilization. Therefore, there is a need for a harmonized, user-friendly data analysis and interpretation tool specifically tailored for regional and district TB coordinators to address this gap.
Methods: we developed a user-friendly data analysis and interpretation tool. To facilitate its adoption, training sessions were conducted to familiarize regional and district coordinators. Ongoing support mechanisms were established to ensure continued proficiency and effective utilization of the tool.
Results: extensive adoption of the tool in all districts in Tanzania, enabling regional and district TB coordinators to independently extract, analyze, and interpret TB surveillance data from the DHIS2 ETL. There are improved reporting timelines, data quality, and capability to identify and communicate significant trends in TB and leprosy key indicators.
Conclusion: the successful deployment of the data analysis tool underscores its efficacy in promoting efficient TB data utilization at the district level. The enhanced capacity of regional and district TB coordinators has improved local effective decision-making and resource allocation. It has also established a foundation for a stronger and standardized national reporting system.