Health systems performance in managing tuberculosis: analysis of tuberculosis care cascades among high-burden and non-high-burden countries

BACKGROUND: Tuberculosis (TB) is a major global health burden, which has been inadequately addressed. This study aims to analyze different patterns and gaps of care along the care cascade across countries and to develop a model to examine the relationship between performance of tuberculosis programmes in high and low burden countries along the tuberculosis care cascade and tuberculosis disease burden. METHODS: We used the World Health Organization’s Global TB Database for the year 2016 to construct tuberculosis care cascade consisting of four steps: incidence, diagnosed, treatment started and treatment completed. Based on the constructed care cascades, we analyzed the relationship between health system performance indicators and tuberculosis cascades performance: diagnosed rate, treatment started rate, and treatment completed rate. RESULTS: There are wide differences in access to diagnosis and treatment between high-burden countries and non-high-burden countries. The largest gap was found between incidence and diagnosed rate, with 65% of diagnosed rate for high burden countries and 80% of diagnosed rate for non-high burden countries. We found variations in care performance among high-burden countries. We found a negative relationship between the population health indicators related to the mortality rate and TB care cascade performance. There was a positive relationship between immunization coverage rate and antenatal care indicators and TB care cascade performance. CONCLUSIONS: Well-functioning tuberculosis care cascades and effective health systems are important for the successful management of tuberculosis. While improving screening performance is essential for tuberculosis control especially for high-burden countries, resource should be allocated to improve health system performance, which is weak in high-burden countries. Performance of TB programmes across care cascade could be used as a useful tracer to measure performance of health systems.