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A multicenter prospective cohort study on camera navigation training for key user groups in minimally invasive
Maurits Graafland1, Kiki Bok2, Henk W R Schreuder2
1Department of Surgery, Academic Medical Centre, Amsterdam, The Netherlands.
Surgical Innovation
|October 18, 2013
Summary
A new virtual reality laparoscopic camera navigation (LCN) module demonstrates validity for training operating room nurses and novice surgical trainees. This tool improves team performance in minimally invasive surgery (MIS).
Area of Science:
- Medical simulation
- Surgical education
- Human factors in surgery
Background:
- Untrained camera assistants in minimally invasive surgery (MIS) risk suboptimal views and errors.
- Camera navigation is often handled by inexperienced personnel, including nurses and students.
- Existing training programs often exclude operating room nurses and medical students.
Purpose of the Study:
- To assess the face and construct validity of a new virtual reality laparoscopic camera navigation (LCN) module.
- To determine the suitability of the LCN module for training operating room nurses and novice surgical trainees.
- To evaluate the LCN module's potential to enhance team performance in MIS.
Main Methods:
- A multicenter prospective cohort study.
- Assessed face validity via expert and trainee questionnaires on realism and usability.
- Assessed construct validity by comparing performance (speed, movement proficiency) across experience levels.
Main Results:
- The LCN module received uniformly positive evaluations, confirming face validity.
- Expert and intermediate groups showed significantly better task time and camera stability than novice groups (P < .007).
- All groups demonstrated significant improvement in proficiency over three repetitions, indicating a learning curve.
Conclusions:
- The virtual reality LCN module possesses both face and construct validity.
- The module is appropriate for training operating room nurses and novice surgical trainees.
- The LCN module can contribute to improved team performance in MIS settings.

