Strengthening resistance testing for tuberculosis in India - Investment cost, throughput, and efficiency of new laboratories.

A lack of laboratory capacity for drug-resistant tuberculosis (DR-TB) testing is a major barrier to DR-TB control. To overcome this barrier, the Central Tuberculosis Division (CTD), Ministry of Health and Family Welfare (MoHFW), Government of India (GoI), and FIND India established a partnership under the National Tuberculosis Elimination Program (NTEP) to strengthen and expand tuberculosis (TB) laboratory diagnostic capabilities. This partnership has led to the establishment of 61 culture & DST laboratories, increasing the testing capacity to a capability of performing over 200,000 liquid cultures and over 170,000 molecular drug sensitivity tests annually. In this study, we assess the data on throughput, efficiency, investment cost, and the capacity of the laboratory services supported by this partnership to understand impact and inform future resource allocation. We estimated the technical efficiency using Stochastic Frontier Analysis (SFA). Our results show that the established laboratory network is operating at 69% efficiency, with the capacity to perform an additional 450,000 cultures and 180,000 first-line molecular drug-susceptibility tests by 2025. This additional capacity, together with current efforts to enhance the laboratory network, has the potential to make a significant contribution to NTEP's TB elimination target by 2025.

One year of COVID-19 and its impact on private provider engagement for TB: A rapid assessment of intermediary NGOs in seven high TB burden countries.

The COVID-19 pandemic has impacted health systems and health programs across the world. For tuberculosis (TB), it is predicted to set back progress by at least twelve years. Public private mix (PPM)has made a vital contribution to reach End TB targets with a ten-fold rise in TB notifications from private providers between 2012 and 2019. This is due in large part to the efforts of intermediary agencies, which aggregate demand from private providers. The COVID-19 pandemic has put these gains at risk over the past year. In this rapid assessment, representatives of 15 intermediary agencies from seven countries that are considered the highest priority for PPM in TB care (the Big Seven) share their views on the impact of COVID-19 on their programs, the private providers operating under their PPM schemes, and their private TB clients. All intermediaries reported a drop in TB testing and notifications, and the closure of some private practices. While travel restrictions and the fear of contracting COVID-19 were the main contributing factors, there were also unanticipated expenses for private providers, which were transferred to patients via increased prices. Intermediaries also had their routine activities disrupted and had to shift tasks and budgets to meet the new needs. However, the intermediaries and their partners rapidly adapted, including an increased use of digital tools, patient-centric services, and ancillary support for private providers. Despite many setbacks, the COVID-19 pandemic has underlined the importance of effective private sector engagement. The robust approach to fight COVID-19 has shown the possibilities for ending TB with a similar approach, augmented by the digital revolution around treatment and diagnostics and the push to decentralize health services.

Pathways to diagnosis of pediatric TB patients: A mixed methods study from India.

BACKGROUND: A significant proportion of pediatric tuberculosis (TB) patients go unnotified due to the challenges in diagnosis of TB among children. The experiences of this vulnerable group while going through the TB care cascade remain largely undocumented. The aim of this study was to explore the experiences of pediatric TB patients and families along the pathway to TB diagnosis and appropriate treatment in four cities of India. METHODS: The study used a mixed methods, single phased, embedded design. The primary qualitative and secondary quantitative data were collected simultaneously by interviewing families of 100 randomly selected Xpert MTB/RIF positive pediatric TB patients, under the pediatric TB project, in 4 Indian cities using a semi-structured questionnaire. The qualitative component was analyzed to deduce patterns and themes on the patient and family experiences. Descriptive statistics were used to quantify various events along the TB care pathway including various delays (patient, diagnosis and total) and number of providers visited by patients during the diagnostic process. RESULTS: The median patient, diagnostic and total delays were 3 (IQR: 2,5), 39 (IQR: 23, 91) and 43 days (IQR: 28.5, 98.5), respectively. Patients visited a median of 3 (IQR: 2,4) providers before accessing Xpert MTB/RIF testing. On an average, 68.4% of physicians ordered any test most of them being irrelevant for TB diagnosis. Qualitative data showed considerable suffering for children and their families before and after TB diagnosis including serious concerns of stigma, disruption in education and social life and recurrence of the disease. CONCLUSION: Our study highlights the significant physical and social distress that the children with TB and their families undergo along the TB care pathway. It also shows diagnostic delay in excess of a month during which multiple providers were met and the patients underwent several diagnostic tests, most of them being inappropriate. Efforts to make Xpert MTB/RIF testing more accessible and part of physicians' toolkit will be of considerable value to ease the complexity of TB diagnosis in children. In addition, communication strategy needs to be developed and implemented to generate awareness among general population around pediatric TB and its management.

Impact of Advocacy, Communication, Social Mobilization and Active Case Finding on TB Notification in Jharkhand, India.

Community-level benefits of screening for active tuberculosis (TB) disease remain uncertain. Project Axshya (meaning free of TB) conducted advocacy, communication, social mobilization, and active case finding among vulnerable/marginalized populations of India. Among 15 districts of Jharkhand state, the project was initiated in 36 subdistrict level administrative units - tuberculosis units (TUs) in a staggered manner between April 2013 and September 2014, and continued till the end of 2015. Seven TUs did not implement the project. We assessed the relative change in the quarterly TB case finding indicators (n = 4) after inclusion of a TU within the project. By fitting four multilevel models (mixed-effects maximum likelihood regression using random intercept), we adjusted for secular (over previous five quarters) and seasonal trends, baseline differences within Axshya and non-Axshya TUs, and population size and clustering within districts and within TUs. After inclusion of a TU within the project, we found a significant increase [95% confidence interval (CI)] in TU-level presumptive TB sputum examination rate, new sputum-positive TB Case Notification Rate (CNR), sputum-positive TB CNR, and all forms TB CNR by 12 (5.5, 18.5), 1.1 (0.5, 1.7), 1.3 (0.6, 2.0), and 1.2 (0.1, 2.2) per 100,000 population per quarter, respectively. Overall, the project resulted in an increase (95% CI) in sputum examination and detection of new sputum-positive TB, sputum-positive TB and all forms of TB patients by 22,410 (10,203, 34,077), 2066 (923, 3210), 2380 (1162, 3616), and 2122 (203, 4059), respectively. This provides evidence for implementing project Axshya over and above the existing passive case finding.

Active case finding among marginalised and vulnerable populations reduces catastrophic costs due to tuberculosis diagnosis.

BACKGROUND: There is limited evidence on whether active case finding (ACF) among marginalised and vulnerable populations mitigates the financial burden during tuberculosis (TB) diagnosis. OBJECTIVES: To determine the effect of ACF among marginalised and vulnerable populations on prevalence and inequity of catastrophic costs due to TB diagnosis among TB-affected households when compared with passive case finding (PCF). METHODS: In 18 randomly sampled ACF districts in India, during March 2016 to February 2017, we enrolled all new sputum-smear-positive TB patients detected through ACF and an equal number of randomly selected patients detected through PCF. Direct (medical and non-medical) and indirect costs due to TB diagnosis were collected through patient interviews at their residence. We defined costs due to TB diagnosis as 'catastrophic' if the total costs (direct and indirect) due to TB diagnosis exceeded 20% of annual pre-TB household income. We used concentration curves and indices to assess the extent of inequity. RESULTS: When compared with patients detected through PCF (n = 231), ACF patients (n = 234) incurred lower median total costs (US$ 4.6 and 20.4, p < 0.001). The prevalence of catastrophic costs in ACF and PCF was 10.3 and 11.5% respectively. Adjusted analysis showed that patients detected through ACF had a 32% lower prevalence of catastrophic costs relative to PCF [adjusted prevalence ratio (95% CI): 0.68 (0.69, 0.97)]. The concentration indices (95% CI) for total costs in both ACF [-0.15 (-0.32, 0.11)] and PCF [-0.06 (-0.20, 0.08)] were not significantly different from the line of equality and each other. The concentration indices (95% CI) for catastrophic costs in both ACF [-0.60 (-0.81, -0.39)] and PCF [-0.58 (-0.78, -0.38)] were not significantly different from each other: however, both the curves had a significant distribution among the poorest quintiles. CONCLUSION: ACF among marginalised and vulnerable populations reduced total costs and prevalence of catastrophic costs due to TB diagnosis, but could not address inequity.

Status of Tuberculosis services in Indian Prisons.

INTRODUCTION: Prisons are known to be a high risk environment for tuberculosis (TB) due to overcrowding, low levels of nutrition, poor infection control and lack of accessible healthcare services. India has nearly 1400 prisons housing 0.37 million inmates. However, information on, availability of diagnostic and treatment services for TB in the prison settings is limited. This study examined the availability of TB services in prisons of India. Simultaneously, prison inmates were screened for tuberculosis. METHOD: The study was conducted in 157 prisons across 300 districts between July-December 2013. Information on services available and practices followed for screening, diagnosis and treatment of TB was collected. Additionally, the inmates and prison staff were sensitised on TB using interpersonal communication materials. The inmates were screened for cough ≥2 weeks as a symptom of TB. Those identified as presumptive TB patients (PTBP) were linked with free diagnostic and treatment services. RESULTS: Diagnostic and treatment services for TB were available in 18% and 54% of the prisons respectively. Only half of the prisons screened inmates for TB on entry, while nearly 60% practised periodic screening of inmates. District level prisons (OR, 6.0; 95% CI, 1.6-22.1), prisons with more than 500 inmates (OR, 52; 95% CI, 1.4-19.2), and prisons practising periodic screening of inmates (OR, 2.7; 95% CI, 1.0-7.2) were more likely to diagnose TB cases. 19% of the inmates screened had symptoms of TB (cough ≥2 weeks) and 8% of the PTBP were diagnosed with TB on smear microscopy. CONCLUSION: The TB screening, diagnostic and treatment services are sub-optimal in prisons in India and need to be strengthened urgently.

From where are tuberculosis patients accessing treatment in India? Results from a cross-sectional community based survey of 30 districts.

BACKGROUND: Tuberculosis (TB) notification in India by the Revised National TB Control Programme (RNTCP) provides information on TB patients registered for treatment from the programme. There is limited information about the proportion of patients treated for TB outside RNTCP and where these patients access their treatment. OBJECTIVES: To estimate the proportion of patients accessing TB treatment outside the RNTCP and to identify their basic demographic characteristics. METHODS: A cross sectional community-based survey in 30 districts. Patients were identified through a door-to-door survey and interviewed using a semi-structured questionnaire. RESULTS: Of the estimated 75,000 households enumerated, 73,249 households (97.6%) were visited. Of the 371,174 household members, 761 TB patients were identified (∼205 cases per 100,000 populations). Data were collected from 609 (80%) TB patients of which 331 [54% (95% CI: 42-66%)] were determined to be taking treatment 'under DOTS/RNTCP'. The remaining 278 [46% (95% CI: 34-57%)] were on treatment from 'outside DOTS/RNTCP' sources and hence were unlikely to be part of the TB notification system. Patients who were accessing treatment from 'outside DOTS/RNTCP' were more likely to be patients from rural areas [adjusted Odds Ratio (aOR) 2.5, 95% CI (1.2-5.3)] and whose TB was diagnosed in a non-government health facility (aOR 14.0, 95% CI 7.9-24.9). CONCLUSIONS: This community-based survey found that nearly half of self-reported TB patients were missed by TB notification system in these districts. The study highlights the need for 1) Reviewing and revising the scope of the TB notification system, 2) Strengthening and monitoring health care delivery systems with periodic assessment of the reach and utilisation of the RNTCP services especially among rural communities, 3) Advocacy, communication and social mobilisation activities focused at rural communities with low household incomes and 4) Inclusive involvement of all health-care providers, especially providers of poor rural communities.