Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score
Background: Neurosurgical training is changing globally. Reduced working hours and training opportunities, increased patient safety expectations, and the impact of COVID-19 have reduced operative exposure. Benchtop simulators enable trainees to develop surgical skills in a controlled environment. We...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | World Neurosurgery: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590139723000790 |
| _version_ | 1827794224486023168 |
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| author | Simon C. Williams Razna Ahmed Joseph Darlington Davids Jonathan P. Funnell John Gerrard Hanrahan Hugo Layard Horsfall William Muirhead Federico Nicolosi Lewis Thorne Hani J. Marcus Patrick Grover |
| author_facet | Simon C. Williams Razna Ahmed Joseph Darlington Davids Jonathan P. Funnell John Gerrard Hanrahan Hugo Layard Horsfall William Muirhead Federico Nicolosi Lewis Thorne Hani J. Marcus Patrick Grover |
| author_sort | Simon C. Williams |
| collection | DOAJ |
| description | Background: Neurosurgical training is changing globally. Reduced working hours and training opportunities, increased patient safety expectations, and the impact of COVID-19 have reduced operative exposure. Benchtop simulators enable trainees to develop surgical skills in a controlled environment. We aim to validate a high-fidelity simulator model (RetrosigmoidBox, UpSurgeOn) for the retrosigmoid approach to the cerebellopontine angle (CPA). Methods: Novice and expert Neurosurgeons and Ear, Nose, and Throat surgeons performed a surgical task using the model – identification of the trigeminal nerve. Experts completed a post-task questionnaire examining face and content validity. Construct validity was assessed through scoring of operative videos employing Objective Structured Assessment of Technical Skills (OSATS) and a novel Task-Specific Outcome Measure score. Results: Fifteen novice and five expert participants were recruited. Forty percent of experts agreed or strongly agreed that the brain tissue looked real. Experts unanimously agreed that the RetrosigmoidBox was appropriate for teaching. Statistically significant differences were noted in task performance between novices and experts, demonstrating construct validity. Median total OSATS score was 14/25 (IQR 10–19) for novices and 22/25 (IQR 20–22) for experts (p < 0.05). Median Task-Specific Outcome Measure score was 10/20 (IQR 7–17) for novices compared to 19/20 (IQR 18.5–19.5) for experts (p < 0.05). Conclusion: The RetrosigmoidBox benchtop simulator has a high degree of content and construct validity and moderate face validity. The changing landscape of neurosurgical training mean that simulators are likely to become increasingly important in the delivery of high-quality education. We demonstrate the validity of a Task-Specific Outcome Measure score for performance assessment of a simulated approach to the CPA. |
| first_indexed | 2024-03-11T18:29:43Z |
| format | Article |
| id | doaj.art-203a5f2d493e413594ef99d47248ddf6 |
| institution | Directory Open Access Journal |
| issn | 2590-1397 |
| language | English |
| last_indexed | 2024-03-11T18:29:43Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | World Neurosurgery: X |
| spelling | doaj.art-203a5f2d493e413594ef99d47248ddf62023-10-13T11:05:46ZengElsevierWorld Neurosurgery: X2590-13972023-10-0120100230Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure scoreSimon C. Williams0Razna Ahmed1Joseph Darlington Davids2Jonathan P. Funnell3John Gerrard Hanrahan4Hugo Layard Horsfall5William Muirhead6Federico Nicolosi7Lewis Thorne8Hani J. Marcus9Patrick Grover10Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK; Corresponding author. Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK; Queen Square Institute of Neurology, University College London, London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Institute of Global Health Innovation and Hamlyn Centre for Robotics Surgery, Imperial College London, London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UKSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, ItalyDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UKDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UKBackground: Neurosurgical training is changing globally. Reduced working hours and training opportunities, increased patient safety expectations, and the impact of COVID-19 have reduced operative exposure. Benchtop simulators enable trainees to develop surgical skills in a controlled environment. We aim to validate a high-fidelity simulator model (RetrosigmoidBox, UpSurgeOn) for the retrosigmoid approach to the cerebellopontine angle (CPA). Methods: Novice and expert Neurosurgeons and Ear, Nose, and Throat surgeons performed a surgical task using the model – identification of the trigeminal nerve. Experts completed a post-task questionnaire examining face and content validity. Construct validity was assessed through scoring of operative videos employing Objective Structured Assessment of Technical Skills (OSATS) and a novel Task-Specific Outcome Measure score. Results: Fifteen novice and five expert participants were recruited. Forty percent of experts agreed or strongly agreed that the brain tissue looked real. Experts unanimously agreed that the RetrosigmoidBox was appropriate for teaching. Statistically significant differences were noted in task performance between novices and experts, demonstrating construct validity. Median total OSATS score was 14/25 (IQR 10–19) for novices and 22/25 (IQR 20–22) for experts (p < 0.05). Median Task-Specific Outcome Measure score was 10/20 (IQR 7–17) for novices compared to 19/20 (IQR 18.5–19.5) for experts (p < 0.05). Conclusion: The RetrosigmoidBox benchtop simulator has a high degree of content and construct validity and moderate face validity. The changing landscape of neurosurgical training mean that simulators are likely to become increasingly important in the delivery of high-quality education. We demonstrate the validity of a Task-Specific Outcome Measure score for performance assessment of a simulated approach to the CPA.http://www.sciencedirect.com/science/article/pii/S2590139723000790NeurosurgeryEducationModel validationSimulation trainingRetrosigmoid craniotomyMicrovascular decompression |
| spellingShingle | Simon C. Williams Razna Ahmed Joseph Darlington Davids Jonathan P. Funnell John Gerrard Hanrahan Hugo Layard Horsfall William Muirhead Federico Nicolosi Lewis Thorne Hani J. Marcus Patrick Grover Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score World Neurosurgery: X Neurosurgery Education Model validation Simulation training Retrosigmoid craniotomy Microvascular decompression |
| title | Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score |
| title_full | Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score |
| title_fullStr | Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score |
| title_full_unstemmed | Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score |
| title_short | Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score |
| title_sort | benchtop simulation of the retrosigmoid approach validation of a surgical simulator and development of a task specific outcome measure score |
| topic | Neurosurgery Education Model validation Simulation training Retrosigmoid craniotomy Microvascular decompression |
| url | http://www.sciencedirect.com/science/article/pii/S2590139723000790 |
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