Over three decades of data reveal that more than 53% of anti-tuberculosis prescription practices/responses as per published studies, in India’s non-programmatic settings were incorrect. 

By integrating meta-analytic prevalence with private-sector drug sales data,it is estimated that 2–3 million faulty TB prescriptions occur annually in India — equivalent to four to five every minute. It quantifies the national impact and underscores the urgency for corrective action.

This section explores how faulty prescription rates have evolved from 1990 to 2024, showing a decline but persistent errors. It also maps high-burden states like Uttar Pradesh, Maharashtra, Madhya Pradesh, Gujarat, and Delhi, where prescription errors exceed the national average of faluty anti-TB prescriptions.

Using advanced machine learning model (XGBoost), it is projected that nearly one in two TB prescriptions will remain faulty through 2030 (2025-2030), in the absence of any significant intervention.