THE EFFECTIVENESS OF HEALTH INFORMATION SYSTEMS IN ACCELERATING THE DETECTION AND REPORTING OF TUBERCULOSIS CASES: A SYSTEMATIC LITERATURE REVIEW

Abstract

Background: Tuberculosis (TB) remains a major global health problem, with Indonesia ranking second highest in the world. Health Information Systems (HIS) have a strategic role in accelerating TB case detection and reporting, yet their effectiveness has not been systematically synthesized. Objective: To synthesize evidence on the effectiveness of HIS — as measured by system quality, data quality, and user competence—on the speed of TB case detection and reporting. Methods: Based on the PRISMA 2020 guidelines, a systematic literature review was conducted. Searches were conducted using PubMed, Google Scholar, GARUDA, Scopus, and the WHO Institutional Repository covering 2014–2025. Twenty-two articles fulfilled the inclusion requirements and were narratively synthesized. Results: System quality was found to be significant in 87% of included studies, information quality showed lower consistency (54%), while user competence was significant in 91% of studies. Contextual factors such as infrastructure, policy support, and financing moderated HIS effectiveness. Conclusion: System quality and user competence are consistent predictors of HIS effectiveness in TB surveillance. Strengthening staff capacity and upgrading digital infrastructure are recommended policy priorities to support TB elimination by 2030.