Background: In Nigeria, most children with tuberculosis (TB) present at primary health clinics where there are limited personnel skilled in collecting appropriate respiratory specimens from those who cannot produce sputum. KNCV Nigeria, in collaboration with the National Tuberculosis Control Program, implemented a modified simple, one-step (SOS), stool-based Xpert MTB/RIF method for diagnosis of TB in children who cannot expectorate sputum. We evaluated the impact of its implementation on childhood TB diagnosis. Method: A cross-sectional study was conducted across 14 selected states using secondary data of children presumed to have TB. Stool was collected from children presumed to have TB and processed using Xpert. Result: Out of 52,117 presumptive TB cases, 52% were male and 59.7% were under 5 years old. A total of 2440 (5%) cases were diagnosed with TB, and 2307 (95%) were placed on treatment. Annual TB notifications increased significantly after the introduction of the stool-based Xpert test when compared to those in the pre-implementation period. Increasing contributions from stool testing were observed throughout the implementation period, except in 2020 during the COVID-19 era. Overall, stool Xpert testing improved childhood TB notification in the studied states. Interventions aimed at awareness creation, capacity building, and active case finding improved the performance of the test.
BACKGROUND: Nigeria has an estimated TB prevalence of 219 per 100,000 population. In 2019, Nigeria diagnosed and notified 27% of the WHO-estimated cases of all forms of TB and contributed 11% of the missing TB cases globally. OBJECTIVE: To assess TB underreporting by type and level of health facility (HF), and associated factors in Lagos State, Nigeria. METHODOLOGY: Quantitative secondary data analysis of TB cases was conducted in 2015. χ 2 test was used to assess the association between treatment initiation, TB underreporting, local government area (LGA) and HF characteristics. RESULTS: Overall, 2,064 persons with bacteriologically confirmed TB (15.5%) were not matched to patients in sampled TB registers. Treatment status was unknown for 86 cases (IQR 55–97) per LGA. LGAs with higher case-loads had higher proportions of cases with unknown TB status. Discrepant reporting of treated TB was also common (60% HFs). Primary-level TB treatment facilities and unengaged private facilities were less likely to notify. CONCLUSION: There was TB under-reporting across all types and levels of HFs and LGAs. There is a need to revise or strengthen the process of supervision and data quality assurance system at all levels
1 January 2016 in Science Journal of Public Health
FAST stands for Finding, Actively, Separating, and Treating. FAST focus health care workers on the most important administrative Tuberculosis (TB) transmission control intervention: effective TB treatment reduces TB spread rapidly, even before sputum smear and culture turn negative. General outpatient department (GOPD) and inpatient clinics in most public and some private health institutions are overcrowded with long waiting times to access health care services. This has led to an increasing importance to ensure effective TB prevention and control especially in settings were Presumptive TB cases, confirmed TB cases and People living with HIV (PLHIV) are seen. This study is aimed at describing the process of FAST implementation and its effect on reduction of time to diagnosis of TB and enrolment for care at tertiary Health care facilities. A prospective study in 12 facilities of 6 states with high TB and HIV burden; adapted guidelines, standard operating procedures (SOPs) and training materials for FAST strategy; trained pool of facilitators; field tested tools; advocacy visits to health facilities; collected base line data that preceded facility level sensitization of FAST implementation. Diagnosis of TB and DR-TB was in line with the national guidelines with the use of Acid Fast Bacilli (AFB) light microscopy and GeneXpert MTB/RIF technology. Follow-up evaluations were conducted monthly by State Tuberculosis and Leprosy Control Program (STBLCP) and quarterly by National TBL Control Program (NTBLCP). Data was analyzed using Stata 13 version 1 for paired t-test (mean comparison test). Average time to diagnosis of susceptible TB using 3 sputa samples reduced from a baseline of 2.9 days in April 2014 to 1.9 days by end of September 2014. Time to treatment of susceptible TB cases diagnosed either by AFB microscopy or Xpert reduced from a baseline of 3.9 days to 1.1 days. Similarly, average time for DR-TB cases diagnosed (including patients receiving their results) reduced from 2.3 days to 1 day. Proportion of TB cases diagnosed and started on treatment increased by up to 14-56% range among different facilities. Integrating FAST into health care delivery improves early diagnosis and enrolment to care at minimal cost; facilitate TB infection control in clinic waiting areas especially in low income countries like Nigeria. FAST also has additional advantage of increasing TB case notification.