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.