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Comparing grades of urgency for classification of cesarean delivery
Author(s) -
van Dillen Jeroen,
Diesch Marijn,
Schutte Joke,
Zwart Joost,
Wolterbeek Ron,
van Roosmalen Jos
Publication year - 2009
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1016/j.ijgo.2009.05.001
Subject(s) - medicine , kappa , binary classification , classification scheme , interpretation (philosophy) , cohen's kappa , cesarean delivery , artificial intelligence , machine learning , pregnancy , support vector machine , computer science , philosophy , linguistics , genetics , programming language , biology
Objective To evaluate the agreement between the traditional binary system and a new system for classifying urgency of cesarean delivery among obstetricians in The Netherlands and Belgium. Methods A total of 212 obstetricians were requested to grade a list of 18 obstetric scenarios using 3 classification systems: traditional binary classification; a new classification using 4 grades of urgency without additional interpretation; and the new classification with additional interpretation. Agreement was assessed by weighted kappa. Results Seventy‐nine obstetricians responded (The Netherlands 62.2%, Belgium 9.9%). There was substantial agreement among them for all 3 classification systems ( κ = 0.71, traditional classification; κ = 0.70, new classification; κ = 0.67, new classification with additional interpretation). Conclusion The traditional binary system and the new classification of cesarean delivery based on 4 grades of urgency, with and without additional interpretation, have similar but relatively low interobserver agreement. We suggest that the new classification should be used, but future studies are necessary to evaluate the effect of this implementation.