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Published on: May 6, 2020
Development of evaluation grids for obstetrical techniques in simulation training using the Delphi method
Théo Jouen1, Pauline Jeanneteau1, Véronique Beaudoux1
1Department of Obstetrics and Gynecology, University Hospital of Angers, Angers, France.
This study developed reliable evaluation grids for critical obstetric maneuvers like breech and shoulder dystocia using the Delphi method. These tools will help assess resident competency in simulation-based obstetrics training.
Area of Science:
- Medical Education
- Obstetrics and Gynecology
- Simulation Training
Background:
- Simulation-based training is crucial in obstetrics for practicing rare and complex procedures.
- Ensuring practitioner preparedness for infrequent events like vaginal breech delivery is challenging.
- Simulation effectively bridges the gap in experience for infrequently performed obstetric maneuvers.
Purpose of the Study:
- To develop and validate evaluation grids for key obstetric maneuvers.
- To ensure reproducible and reliable assessment tools for simulation-based education.
- To enhance the quality of obstetrics training through standardized evaluation.
Main Methods:
- The Delphi method was employed with 14 experienced obstetric experts.
- Three rounds of evaluation assessed criteria for breech, version, and shoulder dystocia maneuvers.
- Consensus was reached based on median scores and response intervals over three rounds.
Main Results:
- Evaluation grids were created for breech maneuvers (breech, Lovset, Bracht, Mauriceau), version and breech extraction, and shoulder dystocia maneuvers (McRoberts, reverse Woods, Jacquemier).
- Specific numbers of criteria were established for each maneuver, totaling over 50 criteria across all maneuvers.
- The Delphi process successfully refined and selected relevant assessment criteria.
Conclusions:
- A set of expert-validated evaluation grids for critical obstetric maneuvers was successfully developed.
- These grids can be utilized for certifying obstetrics residents.
- Further validation in a subsequent study is recommended before full implementation.
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