Abstract
BACKGROUND: The global rise in caesarean section (CS) rates poses a significant public health challenge, being associated with adverse maternal, foetal, and child health outcomes. In response, the World Health Organization advocates for the use of Robson's classification system, which categorizes labouring women into ten groups based on key obstetric characteristics. This facilitates standardized CS audits and targeted clinical interventions. METHODS: To support implementation of Robson's classification in clinical practice, the Robson Caesarean Calc© mobile application was developed by a team at AIIMS Mangalagiri. The app is designed to simplify bedside classification by allowing healthcare workers to input relevant patient data quickly and accurately. It includes features such as rapid data entry, offline functionality for use in low-resource settings, and the ability to save data for audits and research purposes. RESULTS: The app has been found to enhance CS auditing processes by streamlining the classification workflow and reducing the likelihood of missing data. Its intuitive interface and cross-platform accessibility make it suitable for both senior and junior healthcare providers. CONCLUSION: The Robson Caesarean Calc© app is a user-friendly, innovative digital tool that facilitates the implementation of Robson's classification system. Its routine use can improve labor room efficiency, support accurate clinical audits, and contribute to better maternal health outcomes by guiding interventions to address unnecessary CS rates.