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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
  • Chandana Jayasundara,
  • Indu Jayawardane,
  • Ananda Perera
Chandana Jayasundara
University of Colombo Faculty of Medicine
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Indu Jayawardane
University of Colombo, Sri Lanka.
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Ananda Perera
Biosoft
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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.