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Teaching Unilateral Cleft lip Repair: Lessons from Simulation-Based Mining of Trainee Strengths and Performance Gaps.
Stanek, Krystof; Yao, Caroline A; Livingston, Katie A; Weinstock, Peter H; Rogers-Vizena, Carolyn R.
Afiliação
  • Stanek K; Department of Plastic and Oral Surgery, 1862Boston Children's Hospital, Boston, MA, USA.
  • Yao CA; Harvard Medical School, Boston, MA, USA.
  • Livingston KA; Department of Plastic Surgery, Shriner's Hospital for Children, Los Angeles, CA, USA.
  • Weinstock PH; 20313Operation Smile, Virginia Beach, Virginia, USA.
  • Rogers-Vizena CR; Boston Children's Hospital Simulator Program (SIMPeds), Boston, MA, USA.
Cleft Palate Craniofac J ; : 10556656221146736, 2022 Dec 18.
Article em En | MEDLINE | ID: mdl-36529578
ABSTRACT

OBJECTIVE:

To identify specific areas for improvement in cleft lip repair teaching.

DESIGN:

Secondary analysis of prospectively-collected, blinded data.

SETTING:

Three residency programs rotating at a single academic children's hospital.

PARTICIPANTS:

Plastic surgery residents, and craniofacial/pediatric plastic surgery fellows. MAIN OUTCOME

MEASURES:

Mean scores for each skill in an 18-item Unilateral Cleft Lip Repair competency assessment tool (UCLR) (1-3 scale for each item) were rank ordered. Correlation between level of training (PGY) and performance on steps of the procedure was examined using Pearson R.

RESULTS:

Simulation participants (n = 26) scored highest on skills in the "Marking" subscale (2.38-2.63 mean score). Procedural steps that scored lowest were closing the nasal floor (2.00), repairing oral mucosa (2.15) and avoiding over/under-dissection (2.19). Interestingly, none of these skills correlated with PGY, suggesting they do not improve with training.

CONCLUSIONS:

These results suggest that marking cleft lip repair is taught well in our current teaching environment, while steps like closing the nasal floor and repairing the oral mucosa are taught less well. Improved teaching of these steps could be achieved with deliberate instruction, video, digital simulation, and high fidelity simulation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article