Co-Benefits of Largescale Organic farming On huMan health (BLOOM): Protocol for a cluster-randomised controlled evaluation of the Andhra Pradesh Community-managed Natural Farming programme in India.

The BLOOM study (co-Benefits of Largescale Organic farming On huMan health) aims to determine if a government-implemented agroecology programme reduces pesticide exposure and improves dietary diversity in agricultural households. To achieve this aim, a community-based, cluster-randomised controlled evaluation of the Andhra Pradesh Community-managed Natural Farming (APCNF) programme will be conducted in 80 clusters (40 intervention and 40 control) across four districts of Andhra Pradesh state in south India. Approximately 34 households per cluster will be randomly selected for screening and enrolment into the evaluation at baseline. The two primary outcomes, measured 12 months post-baseline assessment, are urinary pesticide metabolites in a 15% random subsample of participants and dietary diversity in all participants. Both primary outcomes will be measured in (1) adult men ≥18 years old, (2) adult women ≥18 years old, and (3) children <38 months old at enrolment. Secondary outcomes measured in the same households include crop yields, household income, adult anthropometry, anaemia, glycaemia, kidney function, musculoskeletal pain, clinical symptoms, depressive symptoms, women's empowerment, and child growth and development. Analysis will be on an intention-to-treat basis with an a priori secondary analysis to estimate the per-protocol effect of APCNF on the outcomes. The BLOOM study will provide robust evidence of the impact of a large-scale, transformational government-implemented agroecology programme on pesticide exposure and dietary diversity in agricultural households. It will also provide the first evidence of the nutritional, developmental, and health co-benefits of adopting agroecology, inclusive of malnourishment as well as common chronic diseases. Trial registration: Study registration: ISRCTN 11819073 (https://doi.org/10.1186/ISRCTN11819073). Clinical Trial Registry of India CTRI/2021/08/035434.

Time intervals and patient-level factors in oral cancer diagnostic pathways: An application of the WHO framework in India.

BACKGROUND: Oral cancer, a leading cancer-site in India, is often detected at advanced stages. We evaluated the time intervals from first symptom to help-seeking and diagnosis among oral cancer patients. METHODOLOGY: In this cross-sectional study, we recruited 226 consecutive oral cancer patients (mean age ( ± SD) 51.9 years ( ± 10.9); 81.9% men; 70.3% advanced stage) registered for diagnosis and treatment, between 2019 and 2021 at a cancer care centre in South India. We used WHO framework and previously standardized tools to record time intervals (appraisal, help-seeking and diagnostic) and baseline characteristics. We utilized multivariable logistic regression models to test the associations between 'prolonged (i.e., over 1 month) time intervals') and patient-level factors to estimate odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: Over a half of patients presented with prolonged appraisal (60%) and help-seeking intervals (57%), and a third (34%) reported prolonged diagnostic interval. Patients with no formal education, no routine healthcare visits, no self-reported risk factors, and those who did not perceive initial symptoms to be serious were 2-4 times more likely to have prolonged appraisal and help-seeking than the rest. High travel costs and self-decision for visiting healthcare facility prolonged help-seeking. Diagnostic interval was prolonged only among women OR= 2.7 (95% CI: 1.2-6.1)) and in patients whose first doctor's opinion was 'nothing to worry' OR (=7.3 (95% CI: 2.6-20.5)). 'Correct knowledge of cancer' shortened appraisal and help-seeking intervals and 'incorrect knowledge and negative beliefs' prolonged diagnostic interval. CONCLUSION: Our findings highlight that interventions targeting sociocultural and economic determinants, symptom awareness, sensitizing persons at risk (especially women) and primary care providers might reduce overall time to diagnosis. Further, patients without any known risk factors for oral cancer might be at-risk for prolonged appraisal interval. These might help inform 'pull' strategies for cancer control in India and similar settings.