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.
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.
期刊介绍:
Journal of Obstetrics and Gynecology of India (JOGI) is the official journal of the Federation of Obstetrics and Gynecology Societies of India (FOGSI). This is a peer- reviewed journal and features articles pertaining to the field of obstetrics and gynecology. The Journal is published six times a year on a bimonthly basis. Articles contributed by clinicians involved in patient care and research, and basic science researchers are considered. It publishes clinical and basic research of all aspects of obstetrics and gynecology, community obstetrics and family welfare and subspecialty subjects including gynecological endoscopy, infertility, oncology and ultrasonography, provided they have scientific merit and represent an important advance in knowledge. The journal believes in diversity and welcomes and encourages relevant contributions from world over. The types of articles published are: · Original Article· Case Report · Instrumentation and Techniques · Short Commentary · Correspondence (Letter to the Editor) · Pictorial Essay