The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade.

To reduce TB deaths in resource-limited settings, a differentiated care strategy can be used to triage patients with high risk of severe illness (i.e., those with very severe undernutrition, respiratory insufficiency, or inability to stand without support) at diagnosis and refer them for comprehensive assessment and inpatient care. Globally, there are few examples of implementing this type of strategy in routine program settings. Beginning in April 2022, the Indian state of Tamil Nadu implemented a differentiated care strategy called Tamil Nadu-Kasanoi Erappila Thittam (TN-KET) for all adults aged 15 years and older with drug-susceptible TB notified by public facilities. Before evaluating the impact on TB deaths, we sought to understand the retention and delays in the care cascade as well as predictors of losses. During April-June 2022, 14,961 TB patients were notified and 11,599 (78%) were triaged. Of those triaged, 1,509 (13%) were at high risk of severe illness; of these, 1,128 (75%) were comprehensively assessed at a nodal inpatient care facility. Of 993 confirmed as severely ill, 909 (92%) were admitted, with 8% unfavorable admission outcomes (4% deaths). Median admission duration was 4 days. From diagnosis, the median delay in triaging and admission of severely ill patients was 1 day each. Likelihood of triaging decreased for people with extrapulmonary TB, those diagnosed in high-notification districts or teaching hospitals, and those transferred out of district. Predictors of not being comprehensively assessed included: aged 25-34 years, able to stand without support, and diagnosis at a primary or secondary-level facility. Inability to stand without support was a predictor of unfavorable admission outcomes. To conclude, the first quarter of implementation suggests that TN-KET was feasible to implement but could be improved by addressing predictors of losses in the care cascade and increasing admission duration.

--Eleven tips for operational researchers working with health programmes: our experience based on implementing differentiated tuberculosis care in south India.

Due to the workload and lack of a critical mass of trained operational researchers within their ranks, health systems and programmes may not be able to dedicate sufficient time to conducting operational research (OR). Hence, they may need the technical support of operational researchers from research/academic organisations. Additionally, there is a knowledge gap regarding implementing differentiated tuberculosis (TB) care in programme settings. In this 'how we did it' paper, we share our experience of implementing a differentiated TB care model along with an inbuilt OR component in Tamil Nadu, a southern state in India. This was a health system initiative through a collaboration of the State TB cell with the Indian Council of Medical Research institutes and the World Health Organisation country office in India. The learnings are in the form of eleven tips: four broad principles (OR on priority areas and make it a health system initiative, implement simple and holistic ideas, embed OR within routine programme settings, aim for long-term engagement), four related to strategic planning (big team of investigators, joint leadership, decentralised decision-making, working in advance) and three about implementation planning (conducting pilots, smart use of e-tools and operational research publications at frequent intervals). These may act as a guide for other Indian states, high TB burden countries that want to implement differentiated care, and for operational researchers in providing technical assistance for strengthening implementation and conducting OR in health systems and programmes (TB or other health programmes). Following these tips may increase the chances of i) an enriching engagement, ii) policy/practice change, and iii) sustainable implementation.

Direct and indirect patient costs of tuberculosis care in India.

OBJECTIVE: To synthesise the evidence for estimating the direct and indirect patient costs of drug-sensitive and drug-resistant tuberculosis care in India. METHOD: PubMed, Embase, Web of Science, IndMED and Google Scholar were searched for studies conducted in India between 2000 and 2018 and published in English. The search terms were "tuberculosis" AND "costs" (cost Analysis, economics, cost of illness, health care costs, health expenditures, direct service costs, catastrophic cost) AND "India". The cost of TB care was from the patient's perspective. Data regarding costs were extracted, indexed to the year 2018 using cumulative inflation rate and converted to US dollars at the exchange rate of 2018. RESULTS: Thirteen studies were included in this review. The mean (unweighted) total cost incurred by patients being treated for drug-sensitive TB in a public health facility was $ 235.00 (SD- 222.10), and the median of means was $ 170.60 (range - 43.70-718.40). The mean direct cost was 45.5% of the total cost. Only one study, which was conducted in a private facility, reported the mean total cost for drug-resistant TB as $ 7778.04. Catastrophic cost (total cost ≥ 20% of the total annual household income) was experienced by 7% to 32.4% of drug-sensitive TB patients and by 68% of drug-resistant TB patients. CONCLUSION: Despite free diagnostic and treatment services provided under the Revised National Tuberculosis Control Programme, the patient cost of tuberculosis care is high. Relevant studies vary widely in methodology and cost reporting.

OBJECTIF: Synthétiser les données probantes permettant d'estimer les coûts directs et indirects des soins anti-TB pour les patients avec une TB sensible ou résistante aux médicaments en Inde. MÉTHODE: PubMed, Embase, Web of Science, IndMED et Google Scholar ont été recherchés pour des études menées en Inde entre 2000 et 2018 et publiées en anglais. Les termes de recherche étaient 'tuberculose' ET 'coûts' (analyse des coûts, économie, coût de la maladie, coûts des soins de santé, dépenses de santé, coûts directs des services, coût catastrophique) ET 'Inde'. Le coût des soins anti-TB était du point de vue du patient. Les données concernant les coûts ont été extraites, indexées pour l'année 2018 en utilisant le taux d'inflation cumulé et converties en dollars US au taux de change de 2018. RÉSULTATS: Treize études ont été incluses dans cette revue. Le coût total moyen (non pondéré) encouru par les patients traités pour une TB sensible aux médicaments dans un établissement de santé public était de 235,00 USD (SD-222,10), et la médiane des moyennes était de 170,60 USD (intervalle - 43,70 - 718,40). Le coût direct moyen était de 45,5% du coût total. Une seule étude, qui a été menée dans un établissement privé, a rapporté le coût moyen total pour la TB résistante aux médicaments équivalent à 7.778,04 USD. Des coûts catastrophiques (coût total ≥ 20% du revenu annuel total du ménage ) ont été subis par 7% à 32,4% des patients avec une TB sensible aux médicaments et par 68% des patients avec une TB résistante aux médicaments. CONCLUSION: Malgré les services gratuits de diagnostic et de traitement fournis dans le cadre du Programme National Révisé de Lutte contre la TB, le coût des soins anti-TB pour les patients est élevé. Les études pertinentes varient considérablement dans la méthodologie et la communication des coûts.

Incidence and clinical features of viral sore throat among children in rural Haryana, India.

BACKGROUND: Sore throat is one of the commonest symptoms that patients present to a primary care physician. We describe the epidemiology of sore throat and performance of an algorithm to predict viral sore throat in a part of India. METHODS: Children below 10 years of age were followed in 4 villages of Haryana, India from Aug 2012 to Aug 2014 through weekly domiciliary visits by trained field workers who screened for symptoms of acute respiratory infection (ARI) including sore throat. Nasal and throat swabs were obtained from a random sample of sore throat cases by nurses and sent in appropriate transport media for real-time polymerase chain reaction for detection of viral nucleic acid. Incidence of sore throat and viral sore throat are reported as number of sore throat episodes per 1000 child-years (EPTCY) with 95% confidence-interval (CI). Symptoms, associated with viral sore throat were identified by logistic regression, combined into a clinical score and Receiver Operating Characteristic curve was plotted. RESULTS: Over a two-year period, 3765 children were followed up for 5578 child years. 1069 episodes of sore throat were reported, and swabs were collected from 8% of the cases randomly. The incidence of sore throat and viral sore throat was 191.7 (95%CI: 180.5-203.6) and 60.1 (95%CI: 55.1-68.2) EPTCY, respectively. Fever (aOR 5.40,95%CI: 1.16-25.18) and running nose (aOR 10.16,95%CI: 1.01-102.42) was significantly associated with viral sore throat. The clinical score (fever, running nose, and headache) had an overall sensitivity of 86.2% (68.3-96.1%), specificity of 62% (47.2-75.3%) and AUC of 0.78 (0.67-0.87) in predicting viral sore throat. CONCLUSION: Viruses contributed to one-third of burden of sore throat and clinical score can be used in primary care settings to aid antibiotic prescription by physicians.

Correction: Health behaviors, outcomes and their relationships among young men aged 18-24 years in a rural area of north India: A cross-sectional study.

[This corrects the article DOI: 10.1371/journal.pone.0220285.].

Impact of ambient air temperature on human health in India.

A systematic search was carried out in the databases of Pubmed, Indmed and Mausam for articles on the effect of ambient temperature on health. Relevant data were extracted using a standard data abstraction form by two authors independently. The overall effects of ambient air temperature are reported as odds ratio (OR) and 95% confidence intervals (CIs) on mortality. Of 812 records identified, only seven were included in the final review as per pre-defined criteria. An increase in the all-cause mortality rate of 41% are reported during a heat wave in India. Risk ratios for all-cause mortality was in the range of 1.7-2.1. The dose-response relationship of ambient temperature and all-cause mortality and cardiovascular diseases are been reported. Current evidence on the effect of ambient temperature and health is sufficient to initiate an integrated response from policy makers, climate scientists and public health practitioners in India. Continued advocacy and generation of more robust evidence is needed.