VALIDATION OF A WEB APP FOR AUTOMATION OF ROBSON DATA COLLECTION FOR
OBSTETRIC AUDITS IN A PROFESSORIAL OBSTETRIC UNIT OF A TERTIARY CARE
HOSPITAL IN SRI LANKA: OBSERVATIONAL STUDY
Abstract
ABSTRACT (223) Objective Validation of a webApp developed to automate
the Robson classification and the WHO audit on rising Caesarean section
rates Materials and Methods RobsApp will classify all the mothers
admitted prospectively. The program generates an audit report based on
the WHO criteria. Results Frequency distribution of the Caesarean
section rates among the Robson groups was similar to the multicountry
survey report. The Pearson’s correlation coefficient between the RobsApp
and Robsons’s study was 0.752 4, Senanyake et al.’s study 0.8705,
Keisuke and Kassam et al.’s study 0.7314. All correlations were
significant at < 0.05. Discussion The results prove the
validity of the RobsApp. The results are also broadly in agreement with
the trends found in other studies reported in the literature. Therefore
RobsApp may be used to analyze the Caesarean section rates of a given
obstetric unit. The ease of use and convenient integration into routine
ward workflow also suggest the outcome studies based on continuous
audits are feasible. The App can also be used to analyze the intra-unit
trends in Caesarean section rates as well as inter-unit, regional or
even the national Caesarean section rates . Conclusion The RobsApp can
confidently be used in obstetric units anywhere for the audit and
outcome follow ups of caesarean section rates.