Individual journeys to tuberculosis care in Nigeria's private sector during the COVID-19 pandemic.

BACKGROUND: Pre-COVID-19, individuals with tuberculosis (TB) in Nigeria were often underdiagnosed and untreated. TB services were mostly in the public sector with only 15% of new cases in 2019 reported from the private sector. Reports highlighted challenges in accessing care in the private sector, which accounted for 67% of all initial care-seeking. Our study examined patients' health seeking pathways for TB in Nigeria's private sector and explored any changes to care pathways during COVID-19. METHODS: We conducted 180 cross-sectional surveys and 20 in-depth interviews with individuals having chest symptoms attending 18 high-volume private clinics and hospitals in Kano and Lagos States. Questions focused on sociodemographic characteristics, health-seeking behaviour, and pathways to care during the COVID-19 pandemic. All surveys and interviews were conducted in May 2021. RESULTS: Most participants were male (111/180), with an average age of 37. Half (96/180) sought healthcare within a week of symptoms, while few (20/180) waited over 2 months. Individuals testing positive for TB had more health-seeking delays, and those testing negative for TB had more provider delays. On average, participants visited two providers in Kano and 1.69 in Lagos, with 61 of 180 in Kano and 48 of 180 in Lagos visiting other providers before the recruitment facility. Private providers were the initial encounters for most participants (60/180 in Kano, 83/180 in Lagos). Most respondents (164/180) experienced short-lived pandemic-related restrictions, affecting access to transportation, and closed facilities. CONCLUSIONS: This study showed a few challenges in accessing TB care, necessitating continued investment in healthcare infrastructure and resources, particularly in the private sector. Understanding the different care pathways and delays in care provides opportunities for targeted interventions to improve deployment of services closer to where patients first seek care.

Improving TB Case Detection Through Active Case-Finding: Results of Multiple Intervention Strategies in Hard-to-Reach Riverine Areas of Southern Nigeria.

BACKGROUND: A major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria. METHODS: Using a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019. RESULTS: A total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment. CONCLUSIONS: We found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.

Influence of the new dispersible fixed-dose combination anti-Tuberculosis drug on treatment adherence among children with Tuberculosis in Osun State, Nigeria.

BACKGROUND: The dispersible fixed-dose combination drug has been recommended as the mainstay of treatment for TB in children. However, more needs to be known about its effect on treatment. This study aimed to assess the effectiveness of the formulation on treatment adherence among children with TB. METHODS: A historical cohort design was used to assess and compare adherences of old loose non-dispersible and new dispersible fixed-dose anti-TB drugs, using a convergent parallel mixed-method approach for data collection. Determinants of treatment adherence were assessed using binary logistic regression. RESULTS: The proportion of children with good treatment adherence was higher in the new dispersible formulation group (82 [64.6%]) relative to the proportion among the loose non-dispersible formulation group (29 [23.4%]). Reports of forgetfulness, travelling and pill burden were significantly higher among those with poor adherence in the loose non-dispersible formulation group. Significant predictors of treatment adherence were acceptability (adjusted OR [AOR]=4.1, p=0.013, 95% CI 1.342 to 12.756), travelling from treatment areas (AOR=8.9, p=0.002, 95% CI 2.211 to 35.771) and forgetfulness (AOR=74.0, p<0.001, 95% CI 23.319 to 234.725). CONCLUSIONS: The determinants of treatment adherence are multifactorial. In addition to ensuring universal access to the drug, flexible referral in case of travelling and ensuring treatment partners' participation to minimise forgetfulness to take pills, are essential.

Challenges in engaging the private sector for tuberculosis prevention and care in Nigeria: a mixed methods study.

OBJECTIVES: This study aimed to assess the practices of private practitioners regarding tuberculosis (TB), and to ascertain factors related to the low contribution of private healthcare providers to TB prevention and care in Nigeria. DESIGN: This is a mixed methods study comprising a quantitative retrospective review and qualitative study. SETTING: Private health facilities (HF) in Oyo State and the Federal Capital Territory (FCT), Nigeria. PARTICIPANTS: We used routinely collected data on patients with tuberculosis (TB) notified between 1 January 2017 and 31 December 2018. In-depth interviews were also conducted with the clinical staff of the facilities. PRIMARY AND SECONDARY OUTCOME MEASURES: The study outcomes are practices of TB case notification and treatment outcome, as well as the barriers and enablers of TB notification. RESULTS: A total of 13 (11.0%) out of 118 private HF were designated as 'engaged' TB care facilities in Oyo State and none (0%) of the 198 private HF in the FCT held this designation. From the 214 patients with presumptive TB, 75 (35%) were diagnosed with TB, 42 (56%) had a bacteriological test done, 12 (16%) had an X-ray of the chest alone and 21 (28%) had other non-specific investigations. Most patients diagnosed were referred to a public HF, while 19 (25%) patients were managed at the private HF. Among them, 2 (10.5%) patients were treated with unconventional regimens, 4 (21%) were cured, 2 (11%) died, 3 (16%) lost to follow-up and 10 (53%) were not evaluated. The general practitioners did not have up-to-date knowledge of TB with a majority not trained on TB. Most referred patients with presumptive and confirmed TB to the public sector without feedback and were unclear regarding diagnostic algorithm and relevant tests to confirm TB. CONCLUSION: Most private facilities were not engaged to provide TB services although with knowledge and practice gaps. The study has been used to develop plans for strategic engagement of the private sector in Nigeria.

Identifying Hot Spots of Tuberculosis in Nigeria Using an Early Warning Outbreak Recognition System: Retrospective Analysis of Implications for Active Case Finding Interventions.

BACKGROUND: Undiagnosed tuberculosis (TB) cases are the major challenge to TB control in Nigeria. An early warning outbreak recognition system (EWORS) is a system that is primarily used to detect infectious disease outbreaks; this system can be used as a case-based geospatial tool for the real-time identification of hot spot areas with clusters of TB patients. TB screening targeted at such hot spots should yield more TB cases than screening targeted at non-hot spots. OBJECTIVE: We aimed to demonstrate the effectiveness of an EWORS for TB hot spot mapping as a tool for detecting areas with increased TB case yields in high TB-burden states of Nigeria. METHODS: KNCV Tuberculosis Foundation Nigeria deployed an EWORS to 14 high-burden states in Nigeria. The system used an advanced surveillance mechanism to identify TB patients' residences in clusters, enabling it to predict areas with elevated disease spread (ie, hot spots) at the ward level. TB screening outreach using the World Health Organization 4-symptom screening method was conducted in 121 hot spot wards and 213 non-hot spot wards selected from the same communities. Presumptive cases identified were evaluated for TB using the GeneXpert instrument or chest X-ray. Confirmed TB cases from both areas were linked to treatment. Data from the hot spot and non-hot spot wards were analyzed retrospectively for this study. RESULTS: During the 16-month intervention, a total of 1,962,042 persons (n=734,384, 37.4% male, n=1,227,658, 62.6% female) and 2,025,286 persons (n=701,103, 34.6% male, n=1,324,183, 65.4% female) participated in the community TB screening outreaches in the hot spot and non-hot spot areas, respectively. Presumptive cases among all patients screened were 268,264 (N=3,987,328, 6.7%) and confirmed TB cases were 22,618 (N=222,270, 10.1%). The number needed to screen to diagnose a TB case in the hot spot and non-hot spot areas was 146 and 193 per 10,000 people, respectively. CONCLUSIONS: Active TB case finding in EWORS-mapped hot spot areas yielded higher TB cases than the non-hot spot areas in the 14 high-burden states of Nigeria. With the application of EWORS, the precision of diagnosing TB among presumptive cases increased from 0.077 to 0.103, and the number of presumptive cases needed to diagnose a TB case decreased from 14.047 to 10.255 per 10,000 people.