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Cerebrospinal Fluid Leak Repair Simulation Model: Face, Content, and Construct Validation.

Abdulaziz AlQahtani1, Abeer Albathi2, Paolo Castelnuovo3

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Summary

This study validates a new simulation model for cerebrospinal fluid leak repair, proving it effectively teaches skull base reconstruction skills. The model is realistic and valuable for surgical training courses.

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CSF leakCSF leak repaircerebrospinal fluidduraplastyreconstructionrhinologysimulationskull base defecttrainingvalidation

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Area of Science:

  • Neurosurgery
  • Surgical Simulation
  • Medical Education

Background:

  • Cerebrospinal fluid leak (CSFL) repair simulation models are scarce.
  • Such models are valuable tools for skull base reconstruction surgery training.

Purpose of the Study:

  • Assess the face, content, and construct validity of a CSFL repair simulation model.
  • Evaluate the model's efficacy in training surgical residents and experts.

Main Methods:

  • Eight novices and eight experts performed skull base reconstruction on cadaveric heads.
  • Participants' performances were scored using the Global Rating Scale of Operative Performance (GRSOP) and a Specific Skull Base Reconstruction Checklist (SBRC).
  • Experts completed a questionnaire to assess face and content validity.

Main Results:

  • Expert questionnaire responses indicated high face and content validity (4.13-4.88/5).
  • High internal consistency reliability (Cronbach's Alpha: 0.913) and intraclass correlation (0.941) were observed.
  • Statistically significant differences in construct validity were found between novices and experts (P < 0.001).

Conclusions:

  • The CSFL repair simulation model demonstrated face, content, and construct validity.
  • The model effectively facilitates the acquisition of technical skills for skull base reconstruction.
  • Realistic features make the model a valuable tool for surgical education and training courses.