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dc.contributor.authorRobson, Michael
dc.contributor.authorMurphy, Martina
dc.contributor.authorByrne, Fionnuala
dc.date.accessioned2016-09-29T14:22:24Z
dc.date.available2016-09-29T14:22:24Z
dc.date.issued2015-10
dc.identifier.citationQuality assurance: The 10-Group Classification System (Robson classification), induction of labor, and cesarean delivery. 2015, 131 Suppl 1:S23-7 Int J Gynaecol Obsteten
dc.identifier.issn1879-3479
dc.identifier.pmid26433499
dc.identifier.doi10.1016/j.ijgo.2015.04.026
dc.identifier.urihttp://hdl.handle.net/10147/620762
dc.description.abstractQuality assurance in labor and delivery is needed. The method must be simple and consistent, and be of universal value. It needs to be clinically relevant, robust, and prospective, and must incorporate epidemiological variables. The 10-Group Classification System (TGCS) is a simple method providing a common starting point for further detailed analysis within which all perinatal events and outcomes can be measured and compared. The system is demonstrated in the present paper using data for 2013 from the National Maternity Hospital in Dublin, Ireland. Interpretation of the classification can be easily taught. The standard table can provide much insight into the philosophy of care in the population of women studied and also provide information on data quality. With standardization of audit of events and outcomes, any differences in either sizes of groups, events or outcomes can be explained only by poor data collection, significant epidemiological variables, or differences in practice. In April 2015, WHO proposed that the TGCS (also known as the Robson classification) is used as a global standard for assessing, monitoring, and comparing cesarean delivery rates within and between healthcare facilities.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0020729215002337en
dc.rightsArchived with thanks to International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetricsen
dc.subjectPREGNANCYen
dc.subjectQUALITY ASSURANCEen
dc.subjectMATERNITY CAREen
dc.subject.meshCesarean Section
dc.subject.meshDelivery, Obstetric
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshIreland
dc.subject.meshLabor, Induced
dc.subject.meshLabor, Obstetric
dc.subject.meshPregnancy
dc.subject.meshProspective Studies
dc.subject.meshQuality Assurance, Health Care
dc.subject.otherMATERNITY HOSPITALSen
dc.titleQuality assurance: The 10-Group Classification System (Robson classification), induction of labor, and cesarean delivery.en
dc.typeArticleen
dc.identifier.journalInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetricsen
dc.description.fundingNo fundingen
dc.description.provinceLeinsteren
dc.description.peer-reviewpeer-reviewen
refterms.dateFOA2018-08-27T16:55:58Z
html.description.abstractQuality assurance in labor and delivery is needed. The method must be simple and consistent, and be of universal value. It needs to be clinically relevant, robust, and prospective, and must incorporate epidemiological variables. The 10-Group Classification System (TGCS) is a simple method providing a common starting point for further detailed analysis within which all perinatal events and outcomes can be measured and compared. The system is demonstrated in the present paper using data for 2013 from the National Maternity Hospital in Dublin, Ireland. Interpretation of the classification can be easily taught. The standard table can provide much insight into the philosophy of care in the population of women studied and also provide information on data quality. With standardization of audit of events and outcomes, any differences in either sizes of groups, events or outcomes can be explained only by poor data collection, significant epidemiological variables, or differences in practice. In April 2015, WHO proposed that the TGCS (also known as the Robson classification) is used as a global standard for assessing, monitoring, and comparing cesarean delivery rates within and between healthcare facilities.


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