Treffer: Data Quality in Laboratory Indicators and Tuberculosis Control: A Case Study from the State of Sao Paulo.

Tuberculosis remains the leading cause of death from infectious bacterial diseases globally, as recognized by the World Health Organization. This study explores the implementation of digital health strategies aimed at improving data quality in laboratory indicators and TB control within São Paulo, Brazil. It identifies opportunities for enhancing laboratory processes, data integrity, and disease management. A socio-technical approach was employed, fostering collaboration between system users and technical developers. Data were collected via the REDCap platform and evaluated on dimensions of accuracy, completeness, consistency, and timeliness. Analytical tools included Python libraries, the REDbox framework, and Apache Superset for data analysis, verification, validation, and visualization. The study involved 167 local laboratories from 13 Regional Laboratory Centers in São Paulo State. This research underscores the critical role of data quality in health surveillance and effective TB control. Future efforts should focus on enhancing training programs, improving system usability, and leveraging advanced data analytics tools to support ongoing improvements in TB control. [ABSTRACT FROM AUTHOR]