Archives of Gynecology and Obstetrics · 2013 · 66 citations · 15 references
MedicineMedical EducationObstetricsCompetency-based CurriculumEmergencyResuscitationBasic Life SupportEmergency Obstetric CareProcedural SkillsSimulation-based AssessmentSimulation-based InstructionSimulation-based LearningClinical Simulation TrainingCompetencyOperative Vaginal Birth CarePostpartum Hemorrhage Simulation TrainingShoulder Dystocia RecognitionSimulation-based Competency AssessmentSimulation-based Resuscitation TrainingSimulation-based Team Training
PURPOSE: In obstetrical emergency situations, optimal management requires the immediate coordinated actions of a multi-disciplinary and multi-professional team. This study investigated the influence of simulation training on four specific skills: self-confidence, handling of emergency situation, knowledge of algorithms and team communication. METHODS: Clinical algorithms were first presented to the participants. Training for six emergency situations (shoulder dystocia, postpartum haemorrhage, pre-eclampsia, maternal basic life support, neonatal resuscitation and operative vaginal birth) was performed using high- and low-fidelity simulation mannequins. General impression of the simulation training and the four above-mentioned skills were evaluated anonymously through a self-assessment questionnaire with a five-point Likert scale immediately after the training and 3 months later. RESULTS: From November 2010 to March 2012, 168 participants, distributed over six one-day courses, took part in the training. 156 participants returned the questionnaire directly after the course (92.9 %). The questionnaire return rate after 3 months was 36.3 %. The participants gave higher Likert scale answers for the questions on the four specific skills after 3 months compared to immediately after the course. The improvement was statistically significant (p ≤ 0.05) except for the question regarding team communication. CONCLUSION: Implementation of simulation training strengthens the professional competency.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Improving Neonatal Outcome Through Practical Shoulder Dystocia Training
Timothy Draycott, Joanna F. Crofts, Jonathan P. Ash et al. · Obstetrics and Gynecology · 2008 · 520 citations
Medicine, Child Health, Pediatrics +17
Dimitrios Siassakos, Katherine Bristowe, TJ Draycott et al. · BJOG An International Journal of Obstetrics & Gynaecology · 2011 · 154 citations · Full text