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BACKGROUND: Tuberculosis(TB) and Diabetes comorbidity is an emerging public health problem in India. Delays in diagnosing TB or Diabetes would lead to adverse outcomes among comorbid patients, and attempts must be made to reduce these delays. Against this background, the study has been undertaken to clarify the role of sociocultural factors in determining diagnostic delays for TB and Diabetes among comorbid patients. METHODS: A cross-sectional cultural epidemiological survey of the randomly selected 180 TB-Diabetes comorbid patients was carried out. The study examined sociocultural factors of delayed diagnosis of TB and Diabetes among urban and rural TB-Diabetes comorbid patients registered under TB-Diabetes collaborative activities under the National TB Elimination Programme (NTEP) in the Satara district of Maharashtra by using a semi-structured interview schedule. The patterns of distress (PDs) and perceived causes(PCs) of TB and Diabetes were compared with patients' and providers' diagnostic delays of TB and Diabetes based on prominence categories. In addition, the relationship between PDs and PCs as explanatory variables and TB and Diabetes diagnostic delays as outcome variables were assessed using stepwise multiple logistic regression. RESULTS: Of the 180 TB-Diabetes comorbid patients, the proportion of men was higher, and they were 4.7 times more likely to get a delayed Diabetes diagnosis. Those who reported side effects of drugs and stigma reduced social status as the PDs were 2-3 times more likely to delay reaching TB facilities/providers (patients' diagnostic delay). Those who perceived inadequate diet and mental-emotional stress as the causes of TB were about three times more likely to reach the TB providers/facilities after two weeks. Also, those who perceived TB as a cause of punishment for prior deeds were two times more likely to reach TB facilities/providers after two weeks. Patients who reported fever and chest pain as the symptoms of TB were two times more likely to delay the diagnosis of TB. Patients who reported tobacco consumption, unhealthy lifestyles, thoughts, worries, tension, and germs or infection as perceived causes of TB were about two times more likely to be diagnosed after two weeks. Patients who reported excessive thirst as a diabetes symptom were about two times more likely to get delayed >2 weeks to reach diabetes facilities/providers. Patients who perceived environmental/occupational exposure as the cause of Diabetes were two times more likely to reach the diabetes facilities/providers after two weeks. Patients who reported excessive thirst and stroke as the physical problems of Diabetes were 3.2 and 9.6 times more likely to get delayed in the diagnosis of Diabetes (providers' diagnostic delay). Patients who perceived violation of taboo or misbehaviour as the perceived cause of Diabetes were 6.7 times more likely to get a delayed diagnosis of Diabetes. CONCLUSIONS: The sociocultural factors associated with TB and Diabetes diagnostic delays among comorbid patients are essential considerations in the evolving context of implementing TB-Diabetes collaborative activities. Therefore, acknowledging sociocultural factors concerning delayed diagnosis and minimising delays would strengthen joint TB-Diabetes collaborative activities under the National framework locally and nationally.

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OBJECTIVES: Over-the-counter (OTC) antibiotic use can cause antibiotic resistance, threatening global public health gains. To counter OTC use, this study used machine learning (ML) methods to identify predictors of OTC antibiotic use in rural Pune, India. METHODS: The features of OTC antibiotic use were selected using stepwise logistic, lasso, random forest, XGBoost, and Boruta algorithms. Regression and tree-based models with all confirmed and tentatively important features were built to predict the use of OTC antibiotics. Five-fold cross-validation was used to tune the models' hyperparameters. The final model was selected based on the highest area under the curve (AUROC) with a 95% confidence interval (CI) and the lowest log-loss. RESULTS: In rural Pune, the prevalence of OTC antibiotic use was 35.9% (95% CI, 31.6 to 40.5). The perception that buying medicines directly from a medicine shop/pharmacy is useful, using antibiotics for eye-related complaints, more household members consuming antibiotics, and longer duration and higher doses of antibiotic consumption in rural blocks and other social groups were confirmed as important features by the Boruta algorithm. The final model was the XGBoost+Boruta model with 7 predictors (AUROC, 0.934; 95% CI, 0.891 to 0.978; log-loss, 0.279) log-loss. CONCLUSIONS: XGBoost+Boruta, with 7 predictors, was the most accurate model for predicting OTC antibiotic use in rural Pune. Using OTC antibiotics for eye-related complaints, higher consumption of antibiotics and the perception that buying antibiotics directly from a medicine shop/pharmacy is useful were identified as key factors for planning interventions to improve awareness about proper antibiotic use.

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BACKGROUND: India is a major contributor to the global burden of leprosy and tuberculosis (TB), which adversely affects the poorest tribal communities. Despite prioritisation by disease control programmes, programme performance for leprosy and TB in tribal communities continues to be a challenge. In addition to access to services and infrastructural limitations, socio-cultural concepts of illness causation and related help seeking (HS) rooted in distinct features of tribal culture need to be addressed to improve programme outcomes. METHODS: A cultural epidemiological survey of leprosy and TB patients was carried out using a locally adapted, semi-structured explanatory model interviews. A total of 100 leprosy and 50 TB patients registered for treatment at government health facilities were selected randomly from tribal dominant blocks of the Thane district, Maharashtra state. The perceived causes (PCs) of leprosy and TB in patients were compared based on prominence categories. The relationship between PCs as predictors, and disease conditions and HS preferences as outcome variables were assessed using multivariate logistic regression. RESULTS: In the multivariate logistic regression model with disease conditions as outcome variables, TB patients were significantly more likely to report PCs in the categories of ingestion; health, illness and injury; and traditional, cultural and supernatural. Tuberculosis patients more frequently first sought help from private facilities as compared to leprosy patients who preferred government health facilities. In a combined analysis of leprosy and TB patients employing multivariate logistic regression, it was found that patients who reported PCs in the environmental and contact-related categories were more likely to visit traditional rather than non-traditional practitioners. In another multivariate combined model, it was found that patients who reported PCs in the traditional, cultural and supernatural category were significantly more likely to visit private rather than public health facilities. CONCLUSION: Cultural concepts about illness causation and associated HS behaviours should be considered as priorities for action, which in turn would provide the necessary impetus to ensure that tribal patients seek help in a timely and appropriate manner, and could facilitate improvement in programme performance in general.