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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., (©Chidubem Ogbudebe, Dohyo Jeong, Bethrand Odume, Ogoamaka Chukwuogo, Cyril Dim, Sani Useni, Okey Okuzu, Chenchita Malolan, Dohyeong Kim, Fiemu Nwariaku, Nkiru Nwokoye, Stephanie Gande, Debby Nongo, Rupert Eneogu, Temitayo Odusote, Salewa Oyelaran, Obioma Chijioke-Akaniro, Nrip Nihalani, Chukwuma Anyaike, Mustapha Gidado. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 08.02.2023.)

Background: The greatest risk of infectious disease undernotification occurs in settings with limited capacity to detect it reliably. World Health Organization guidance on the measurement of misreporting is paradoxical, requiring robust, independent systems to assess surveillance rigor. Methods are needed to estimate undernotification in settings with incomplete, flawed, or weak surveillance systems. This study attempted to design a tuberculosis (TB) inventory study that balanced rigor with feasibility for high-need settings., Objective: This study aims to design a hybrid TB inventory study for contexts without World Health Organization preconditions. We estimated the proportion of TB cases that were not reported to the Ministry of Health in 2015. The study sought to describe TB surveillance coverage and quality at different levels of TB care provision. Finally, we aimed to identify structural-, facility-, and provider-level barriers to notification and reasons for underreporting, nonreporting, and overreporting., Methods: Retrospective partial digitalization of paper-based surveillance and facility records preceded deterministic and probabilistic record linkage; a hybrid of health facilities and laboratory census with a stratified sampling of HFs with no capacity to notify leveraged a priori knowledge. Distinct extrapolation methods were applied to the sampled health facilities to estimate bacteriologically confirmed versus clinical TB. In-depth interviews and focus groups were used to identify causal factors responsible for undernotification and test the acceptability of remedies., Results: The hybrid approach proved viable and instructive. High-specificity verification of paper-based records in the field was efficient and had minimal errors. Limiting extrapolation to clinical cases improved precision. Probabilistic record linkage is computationally intensive, and the choice of software influences estimates. Record absence, decay, and overestimation of the private sector TB treatment behavior threaten validity, meriting mitigation. Data management demands were underestimated. Treatment success was modest in all sectors (R=37.9%-72.0%) and did not align with treatment success reported by the state (6665/8770, 75.99%). One-fifth of TB providers (36/178, 20%) were doubtful that the low volume of patients with TB treated in their facility merited mastery of the extensive TB notification forms and procedures., Conclusions: Subnational inventory studies can be rigorous, relevant, and efficient in countries that need them even in the absence of World Health Organization preconditions, if precautions are taken. The use of triangulation techniques, with minimal recourse to sampling and extrapolation, and the privileging of practical information needs of local decision makers yield reasonable misreporting estimates and viable policy recommendations., (©Ellen M H Mitchell, Olusola Adedeji Adejumo, Hussein Abdur-Razzaq, Chidubem Ogbudebe, Nkem Chukwueme, Samson Bamidele Olorunju, Mustapha Gidado. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 15.03.2021.)

Background: Poor competence of clinicians may be a critical factor responsible for the under-diagnosis of childhood TB in high-burden settings. Our objective was to assess the current practices of management of childhood TB among clinicians in Nigeria., Methods: A cross-sectional survey was conducted among clinicians recruited through a three-stage sampling technique from 76 health facilities in Southern Nigeria. A semi-structured questionnaire was administered to all participants., Results: Of 106 clinicians who completed the survey, 73 (68.9%) were <40 years and 67 (63.2%) were males. Also, 14 (13.2%) were paediatricians, 22 (20.8%) were paediatric specialist trainees and 70 (66%) were medical officers in primary and secondary care health facilities. About 94% of the respondents perceived diagnosis of childhood TB a challenge in Nigeria. The overall mean (SD) knowledge score was 3.8±0.9 (maximum 5), and 68 (64.2%) had good knowledge of childhood TB. The mean (SD) appropriate practice score was 4.0±1.7 (maximum 10) and, only 8 (7.5%) of them were considered to have adopted appropriate practices regarding childhood TB care., Conclusions: There are gaps in practices adopted by frontline clinicians in the management of childhood TB in Nigeria. Focused training of health workers on childhood TB care is urgently recommended., (© The Author 2016. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

INTRODUCTION: Successful treatment of TB requires high levels of adherence to treatment. This has been found to be below optimal with directly observed therapy (DOT), and digital adherence technologies (DATs) offer a promising approach to non-adherence to medication and improving treatment outcomes. This study explores the perception, acceptability, and challenges of DATs among healthcare workers (HCWs). METHODS: The study was conducted in eight states in Nigeria among Health Care workers involved in treating patients with TB. This was a descriptive cross-sectional study using an open questionnaire and analysed using IBM SPSS v25. RESULTS: Twenty-three HCWs (95.8%) agreed that DATs helped them provide better support and counselling to their patients. All of them would recommend DATs to their patients and found it easy to explain them. Eleven (45.8%) of them were not able to use DATs on a few occasions; their reasons were poor network (n = 9, 37.5%) and (n = 1, 4.2%) power failure. CONCLUSION: DATs help HCWs provide better support and care regarding real-time tracking of their patients’ adherence to treatment and possibly reduction of attrition. This implies that DATs are a suitable alternative to DOT to help HCWs provide the best care and support to their patients towards achieving the End TB targets.

INTRODUCTION: Poor adherence to TB treatment poses a significant public health threat to TB control programmes. The sustainability of directly observed treatment has been questioned because of its non-patient-centred approach and resource-intensive nature, and Digital Adherence Technologies (DATs) provide a suitable alternative. This study assessed the feasibility and acceptability of DATs among patients with TB. METHODS: This descriptive study was conducted in eight states in Nigeria among all patients with drug-susceptible TB. RESULT: A total of 230 patients (89.1%) own a phone that no one else uses, and 18 (7.0%) use a family phone. A higher proportion of 189 (73.3%) have airtime credit and 119 (46.1%) have internet credit on their phone. In addition, 216 (83.7%) stated that the reminders they received on their phone helped them remember to take their medicine. Only 11 (4.3%) patients missed a dose of the TB medicine. Equally, 11 (4.3%) patients had taken their TB medicine without using DAT. Of these, 7 (63.3%) did not use DATs because they forgot to text medication labels, and 3 (27.6%) did so because of poor network. Only four (1.6%) purchased additional items to support the use of DATs. CONCLUSION: DATs are acceptable in a wide variety of settings, even with reported challenges. Implementation efforts should ensure access, address technical challenges, and minimise additional cost to patients.