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Development of obstetric anesthesia core competencies for USA residency programs through a Delphi process.
Maytinee Lilaonitkul1,2, Christopher W Cosden3, John C Markley4
1Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, USA. maytinee.lilaonitkul@ucsf.edu.
This study established core competencies for obstetric anesthesiology residency training in the USA. The consensus-based list aims to standardize training quality and accountability across institutions.
Area of Science:
- Medical Education
- Anesthesiology
- Obstetric Anesthesia
Background:
- Current US anesthesia residency training relies on the ACGME Outcome Project, which lacks specific guidance for subspecialties like obstetric anesthesia.
- This gap can lead to variability in training quality and institutional accountability.
Purpose of the Study:
- To identify and define core competencies in obstetric anesthesiology.
- To create a standardized framework adaptable for US residency programs.
- To enhance the quality and accountability of obstetric anesthesia training.
Main Methods:
- A preliminary list of competencies was compiled from existing curricula and guidelines.
- A modified Delphi methodology was employed with expert consensus from the Society for Obstetric Anesthesia and Perinatology education committee.
- Consensus was defined as 80% agreement on competency importance and attainment level via a five-point Likert scale over two rounds.
Main Results:
- A 75% response rate was achieved in the Delphi rounds.
- 94 core competencies were identified and categorized under the six ACGME domains.
- Competencies were distributed across patient care (38), medical knowledge (45), system-based practice (2), practice-based learning and improvement (5), interpersonal communication (2), and professionalism (2).
Conclusions:
- A consensus-driven competency list for obstetric anesthesiology residency training was generated.
- This list provides a foundation for developing structured, competency-based curricula.
- Implementation can reduce training heterogeneity and improve overall educational standards.
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