Abstract
Robson classification is a globally recognised method in systematically classifying all pregnant women admitted for delivery. The World Health Organization (WHO) and the International Federation of Gynecology and Obstetrics (FIGO) recommend the Robson classification as a global standard for assessing, monitoring and comparing CS rates within and between heath care facilities, over time. Continuous audit of admission and delivery data is an essential component in service quality improvements including caesarean section rates. Previously we have reported data acquisition and quality as the main problems in carrying out a continuous audit in absence of a centralised electronic database. We developed and validated an app based on the hybrid JQuery Mobile (JQM) technology with an option for scalability to the regional and national level in the future for real time acquisition and analysis of admissions data in a maternity care setting using Robson classification.
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