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Setting: Twenty poultry farms in five provinces of Nepal were selected for studying bacterial pathogens and their antimicrobial resistance (AMR) patterns.

Objective: To document the proportion of cloacal swabs collected from 3,230 broiler and 3,230 layer chickens from September to December 2021 that grew isolates of Escherichia coli, Enterococcus spp. and Salmonella spp. along with their AMR patterns.

Design: This was a cross-sectional descriptive study.

Results: In broiler birds, Enterococcus spp., Salmonella spp. and E. coli were identified in respectively 36%, 39% and 63% of swabs. In layer birds, Enterococcus spp., Salmonella spp. and E. coli were identified in respectively 31%, 48% and 60% of swabs. For both bird types, there was variation in bacterial prevalence between the regions. For all three bacterial isolates, the lowest antimicrobial resistance was found with amikacin. For the other nine antibiotics tested, >50% of bacterial isolates showed resistance; between 60% and 90% of isolates showed resistance to ciprofloxacin and trimethoprim-sulfamethoxazole. Multidrug resistance ranged from 45% to 46% for Salmonella spp., 37-44% for E. coli and 13-17% for Enterococcus spp.

Conclusion: This study shows that a large proportion of poultry in Nepal are infected with potentially pathogenic bacteria, and these are frequently resistant to commonly used antibiotics. Nepal urgently needs to implement corrective measures.

Background: Knowledge about factors influencing access and adherence to TB care, and on the impact of the COVID-19 pandemic on TB care in resource-restricted settings is scarce. We conducted this study in Atsimo-Andrefana, a rural region in southern Madagascar where TB prevalence, poverty and food insecurity rates are high. We aimed to determine facilitators and barriers to access to and provision of TB care in rural Madagascar during the COVID-19 pandemic.

Methods: We conducted qualitative focus group discussions (FGDs) and in-depth interviews (IDIs) with patients with TB, community health workers, facility-based health workers, public health officials and non-governmental organisation staff. We analysed interviews using thematic analysis.

Results: We conducted 11 FGDs and 23 IDIs. We identified three main barriers to access and adherence to TB care: 1) stigma, 2) indirect treatment costs, and 3) food insecurity. The facilitator perceived as most influential was high health worker motivation. The effects of the COVID-19 pandemic on TB care varied between stake-holders; some health workers described delays in TB diagnosis and increased workload.

Conclusions: To improve access and adherence to TB care, both indirect treatment costs and stigma need to be reduced; undernourished patients with TB should receive food support.

Background: Framed as "the great-equalizer," the COVID-19 pandemic has intensified pressure to adapt critical care labor and resulted in rationing by healthcare workers across the world.

Objective: To critically investigate how hospital intensive care units are critical sites of care labor and examine how rationing highlights key features of healthcare labor and its inequalities.

Methods: A practice-oriented ethnographic study was conducted in a United States academic ICU by a medical anthropologist and medical intensivists with global health expertise. The analysis drew on 57 in-depth interviews and 25 months of participant observation between 2020 and 2021.

Results: Embodied labor constitutes sites and practices of shortage or rationing along three domains: equipment and technology, labor, and emotions and energy. The resulting workers' practices of adaptation and resilience point to a potentially more robust global health labor politics based on seeing rationing as work.

Conclusion: Studies of pandemic rationing practices and critical care labor can disrupt too-simple comparative narratives of Global North/South divides. Further studies and efforts must address the toll of healthcare labor.

Setting: Five urban TB diagnostic centres in Lusaka, Zambia.

Objective: To determine the proportion of bacteriologically confirmed pre-treatment lost to follow-up (LTFU) patients with TB found at the study settings in 2020.

Design: This was a retrospective cohort study in which the TB laboratory and treatment registers at the study sites were cross-matched.

Results: A total of 1,085 bacteriologically confirmed patients with TB were found in the laboratory TB registers at the study settings. Of these, 809 (74.6%) were males, whereas 8 (0.7%) were children, 1,005 (92.6%) were diagnosed using Xpert, 78 (7.2%) by microscopy. A total of 91 (8.4%, 95% CI 6.8-10.2) were determined to be pre-treatment LTFU. Those who had very low (14.0%, 95% CI 8.5-21.2) and low (11.8%, 95% CI 8.4-16.0) results on Xpert were respectively 3.1 (95% CI 1.6-6.0) and 2.6 (95% CI 1.4-4.8) times more likely to become pre-treatment LTFU than those who had medium (4.5%, 95% CI 2.5-7.4) results. The proportions of pre-treatment LTFU varied among the study sites from 0.7% to 16.1%.

Conclusion: Health facilities should strive to account for every patient with TB, with particular attention to those who are bacteriologically confirmed.

Missed opportunities for TB screening and/or passive testing in clinics continues to contribute to the number of missed cases. To understand reasons for these missed opportunities, we conducted focus group discussions with clinic-based nurses. Nurses described low indices of suspicion, prioritization of seemingly more urgent ailments and clinic operational challenges as barriers to TB screening and testing. To improve TB screening and testing in clinics, standard patients should be used to identify real-time factors that impact nurses' clinical decision-making and engage in real-time feedback and discussion with nurses to help optimize opportunities for TB screening and testing.

Setting: Sao Tomé and Principe (STP) is a lower middle-income country in the Gulf of Guinea that has a persistent high loss of TB patients on treatment.

Objective: To investigate factors associated with patient loss to follow-up (LTFU) and to assess health worker perceptions on non-adherence.

Design: A retrospective cohort study was conducted using data from the national database. Factors associated with LTFU were investigated using univariable and multivariable logistic regression. In-depth interviews were conducted with TB health workers to identify perceived barriers for treatment completion.

Results: A total of 822 registered patients with drug-susceptible TB were included, of whom 82 (10.0%) were lost to follow-up. Male sex (adjusted OR [aOR] 1.7, 95% CI 1.0-3.0; P = 0.048), as well as living in the Mé-Zóchi and Caué Districts (aOR 2.60, 95% CI 1.58-4.26; P < 0.001) were associated with an increased odds of LTFU. The main barriers to treatment completion were related to lack of food, stigma, and lack of patient information and personal support.

Conclusion: The study indicates the need to address multiple issues related to LTFU during TB treatment. Enhanced efforts to personalise care, especially for information, nutrition and encouragement will better support patients in STP.

Background: South Africa has one the highest TB and HIV burdens globally. TB preventive therapy (TPT) reduces the risk of TB disease and TB-related mortality in adults and children living with HIV and is indicated for use in TB-exposed HIV-negative individuals and children. TPT implementation in South Africa remains suboptimal.

Methods: We conducted a pragmatic review of TPT implementation using multiple data sources, including informant interviews (n = 134), semi-structured observations (n = 93) and TB patient folder reviews in 31 health facilities purposively selected across three high TB burden provinces. We used case descriptive analysis and thematic coding to identify barriers and facilitators to TPT implementation.

Results: TPT programme implementation was suboptimal, with inadequate monitoring even in health districts with well-functioning TB services. Health workers reported scepticism about TPT effectiveness, deprioritised TPT in practice and expressed divergent opinions about the cadres of staff responsible for implementation. Service- and facility-level barriers included ineffective contact tracing, resource shortages, lack of standardised reporting mechanisms and insufficient patient education on TPT. Patient-level barriers included socio-economic factors.

Conclusions: Improving TPT implementation will require radically simplified and more feasible systems and training for all cadres of health workers. Partnership with communities to stimulate demand driven service uptake can potentially facilitate implementation.

Background: There is a lack of holistic health-related quality of life (HRQoL) measures for young children with respiratory disease, especially in low- and middle-income countries (LMICs). We aimed to understand caregivers' perceptions of the relevance of common HRQoL domains for children with respiratory diseases, including TB.

Methods: This study was nested in a prospective observational cohort of children presenting with respiratory symptoms presumptive of pulmonary TB. We conducted 10 semi-structured interviews to explore caregivers' perceptions of the five commonly measured HRQoL domains: physical health, social support, emotional and psychological wellbeing, and schooling. We used case descriptive analysis and thematic coding.

Results: Caregivers considered all five domains to be relevant. The socio-economic context framed their responses, with QoL requiring sufficient basic resources for children. HRQoL experiences varied according to the severity of the child's symptoms, but not between TB and non-TB illnesses. Manifestations in the psychological domain were difficult to distinguish from the emotional domain. Social support included broad support for family members, indirectly benefiting the children. Caregivers were concerned about their children's early developmental milestones and future schooling.

Conclusion: This exploratory study shows that HRQoL domains are relevant but require adaptation to be applicable for young children affected by respiratory illnesses living in LMICs.

Setting: Japan, an intermediate TB burden country.

Objective: To review TB-related technical enquiries received at the Research Institute of Tuberculosis, Japan, from January 2017 to December 2019.

Design: This was a cohort study.

Results: A total of 2,197 enquiries were analysed. On average, 61.0 enquiries/month (range: 42-81) were received. The enquiry rates were highest for the Yamanashi (4.65/100,000 population) and Ishikawa (4.55) Prefectures, and lowest in the Yamagata (0.46) and Tochigi (0.56) Prefectures. The main organisations the enquirers belonged to were local governments (n = 1,585, 72.1%) and healthcare facilities (n = 307, 14.0%). The enquirers were medical doctors (n = 391, 17.8%), nurses (n = 1,207, 54.9%), other healthcare professionals (n = 57, 2.6%), the general public (n = 168, 7.6%) and others/unknown (n = 374, 17.0%). The most frequent enquiries were about TB diagnosis and treatment (n = 501, 22.8%), including laboratory diagnosis (n = 88, 4.0%), TB treatment in general (n = 93, 4.2%) and management of comorbidities (n = 86, 3.9%), followed by contact investigations (n = 385, 17.5%) and TB in foreigners (n = 344, 15.7%).

Conclusion: As the most frequent enquiries were about diagnosis and treatment of TB, the health ministry of Japan should maintain a few specialised TB institutions with TB physicians to provide technical assistance.

Introduction: Chatbots have emerged as a first link to care in recent years. The COVID-19 pandemic, and consequent health system disruptions, expanded their use. Socios En Salud (SES) introduced chatbots in Peru, which experienced one of the highest excess COVID mortalities in the world.

Methods: SES and the government identified unmet population health needs, which could be amenable to virtual interventions. Chatbots were developed to screen individuals for these conditions; we describe the period of deployment, number of screenings, and number of people who received services.

Results: Between April 2020 and May 2021, SES deployed nine ChatBots: four for mental health, two for maternal and child health, and three for chronic diseases: breast cancer, hypertension, diabetes mellitus, and obesity. Mental health services were provided to 42,932 people, 99.99% of those offered services. The other ChatBots reached fewer people. Overall, more than 50% of eligible people accepted chatbot-based services.

Discussion: ChatBot use was highest for mental health. Chatbots may increase connections between a vulnerable population and health services; this is likely dependent on several factors, including condition, population, and penetration of smart phones. Future research will be critical to understand user experience and preferences and to ensure that chatbots link vulnerable populations to appropriate, high-quality care.