Digital Repository

Factors associated with induction of labour and pregnancy outcomes in 14 healthcare facilities in Sri Lanka

Show simple item record

dc.contributor.author Gunawardana, J. R. N. A.
dc.contributor.author Perera, S. S. N.
dc.date.accessioned 2019-07-22T07:16:51Z
dc.date.available 2019-07-22T07:16:51Z
dc.date.issued 2019
dc.identifier.citation Gunawardana, J. R. N. A. and Perera, S. S. N. (2019), Factors associated with induction of labour and pregnancy outcomes in 14 healthcare facilities in Sri Lanka. Journal of Science 2019, Department of Statistics & Computer Science, Faculty of Science, University of Kelaniya, Sri Lanka.P. 47-48 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/20308
dc.description.abstract Induction of Labour (IOL) is an important practice that is carried out commonly in modern day obstetrics. In medium to large healthcare facilities in Sri Lanka, it is estimated that approximately 35.5% of all deliveries involve IOL. This research attempts to identify the factors that affect IOL and to assess the association between IOL and the pregnancy outcome. In this study, we considered 18309 women who were admitted to 14 healthcare facilities for delivery in 3 randomly selected provinces in Sri Lanka (Western, Southern and Eastern provinces), during July to October 2011. Multinomial Logistic Regression model (MLR) and Fuzzy Expert System (FES) were used to identify the factors that lead to IOL. The MLR model predicts IOL with a classification rate of 65.5% and the FES predicts IOL with an accuracy of 55.10%. 1Maternal age, number of previous caesarian sections,number of previous births, estimated gestational age, Pre-Eclampsia, number of previous pregnancies, Placenta Preavia, Abruption Placenta, total number of neonates delivered, birth weight and Maternal Severity Index (MSI) were identified as factors associated with IOL. Neonatal status after seven days of life can also be predicted using the developed FES. FES is predictive of IOL and birth outcome, where if the FES score is between 0.8570 and 0.8854, the patient will belong to the induced group and the baby would be alive after seven days of birth. This study concludes that, MLR and FES models can be used to predict IOL outcomes. These findings can be informative to healthcare providers when counselling women for labour induction and develop evidence-based protocols on IOL. en_US
dc.language.iso en en_US
dc.publisher Journal of Science 2019, Department of Statistics & Computer Science, Faculty of Science, University of Kelaniya, Sri Lanka en_US
dc.subject Induction of labour en_US
dc.subject Multinomial logistic regression en_US
dc.subject Fuzzy expert system en_US
dc.title Factors associated with induction of labour and pregnancy outcomes in 14 healthcare facilities in Sri Lanka en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account