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  • Simulation in Neurosurgery: Proposal for Skills Training Curriculum

    Final Number:
    1488

    Authors:
    Ashish Suri

    Study Design:
    Other

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2017 Annual Meeting

    Introduction: There has been major concern for neurosurgical educators to define a curriculum that can identify resident’s technical and conceptual limitations, and can address to improve surgical competence. The present study analyses development of neurosurgery skills training curriculum highlighting formulation and standardisation of structured low and high-fidelity simulation modules, and evaluation of efficacy in training neurosurgeons with formative and summative assessment tools.

    Methods: A structured modular neurosurgery skills training curriculum has been proposed which includes microsurgery, high speed drilling and neuroendoscopy comprising basic=7, intermediate=7 and advanced=14 simulation modules. 85 regular residents and 179 short-term visiting trainees were trained over 8586 skills training sessions; 419 residents attended 25 week-end demo-sessions, and 248 graduate neurosurgeons trained in 16 workshops.

    Results: Summative assessment was done on 71 board certified neurosurgeons, of which majority had average competence in all three modules (microsurgery=43%, drilling=40%, neuro-endoscopy=32%). Young neurosurgeons <33 years scored better in microsuturing(p=0.03) and drilling(p=0.006). Freshly certified neurosurgeons performed better in microsuturing(p=0.003) and drilling(p=0.001). Similar was the finding from neurosurgeons trained at central institutes, though it was significant in microsuturing(p=0.01). Difference in performance in neuro-endoscopy in all groups did not reach significant levels. Formative asssessments were done in trainees who attended short-term repititive training in each module (49, 31 and 30 trainees in microsurgery, drilling and neuro-endoscopy respectively) to assess their degree of improvement with practice. Training improved performance in microsuturing, drilling and neuro-endoscopy by 44.2%, 12.73%, 17.26% respectively(p=0.001). Interval-based feedback analysis was taken from trainees (61.6% response rate) in which more than 70% reported good to excellent benefit from the training in their real surgical practice.

    Conclusions: We suggest structured modular validated skills training curriculum to supplement the existing neurosurgery training, which would help in improving learning curve outside operation-rooms, at convenience and individualized needs of trainees under supervision, and help in skills translation without endangering patients.

    Patient Care: We suggest structured modular validated skills training curriculum to supplement the existing neurosurgery training, which would help in improving learning curve outside operation-rooms, at convenience and individualized needs of trainees under supervision, and help in skills translation without endangering patients.

    Learning Objectives: The present study analyses development of neurosurgery skills training curriculum highlighting formulation and standardisation of structured low and high-fidelity simulation modules, and evaluation of efficacy in training neurosurgeons with formative and summative assessment tools. The structured modular simulation curriculum includes microsurgery, high speed drilling and neuroendoscopy comprising basic=7, intermediate=7 and advanced=14 simulation modules. Trained neurosurgeons – Summative assessment: Young neurosurgeons, freshly certified neurosurgeons and neurosurgeons trained at central institutes scored better in microsuturing and drilling. Difference in performance in neuro-endoscopy in all groups did not reach significant levels. Trainee neurosurgeons or residents – Formative assessment: Training improved performance in residents in microsuturing, drilling and neuro-endoscopy by 44.2%, 12.73%, 17.26% respectively (p=0.001)

    References: 1. Suri A, Tripathi M. Letter to the Editor: Neurosurgery skills training laboratories and curriculum: a supplement to Halstedian practice J Neurosurg. 2016 Dec;125(6):1612-1613. IF-3.443. 2. Tripathi M, Suri A, Patra DP, Meena R. Joining the Masters: the Dolenc-Kawase Approach: Letter to editor – response. J Neurosurg 2016 (In Press). IF-3.443. 3. Singh R, Suri A, Anand S, Baby B. Validation of reverse engineered and additive manufactured micro-surgical instrument prototype. Surgical Innovation 2016 (In Press). IF-1.358. 4. Suri A, Patra DP, Meena R. Simulation in Neurosurgery: Past, Present and Future. Neurol India 2016 May-Jun; 64(3): 387-95. IF-1.41;CI-1. 5. Singh R, Baby B, Damodaran N, Srivastav V, Suri A, Banerjee S, Kumar S, Kalra P, Prasad S, Paul K, Anand S, Kumar S, Dhiman V, Ben-Israel D, Kapoor KS. Design and Validation of an Open Source Partial Task Trainer for Endonasal Neuro-endoscopic Skills Development: Indian Experience. World Neurosurg. 2015 Sep 24. IF-2.901;CI-2 6. Tripathi M, Deo RC, Suri A, Srivastav V, Baby B, Kumar S, Kalra P, Banerjee S, Roy TS, Lalwani S. Quantitative Analysis of Kawase's Triangle versus Modified Dolenc Kawase Rhomboid Approach for Middle Cranial Fossa Lesions with Variable Antero-posterior Extension. J Neurosurg 2015 Jul;123(1):14-22. IF-3.737;CI-7 7. Tripathi M, Chandra Deo R, Damodaran N, Suri A, Srivastav V, Baby B, Singh R, Kumar S, Kalra P, Banerjee S, Prasad S, Paul K, Roy TS, Lalwani S, Sharma BS. Quantitative analysis of variable extent of anterior clinoidectomy with intradural and extradural approaches: 3-dimensional analysis and cadaver dissection. Neurosurgery. 2015 Mar;11 Suppl 2:147-61. IF-3.031;CI-3 8. Suri A, Tripathi M, Deo RC. Anterolateral transcavernous extradural petrosectomy approach: 3-dimensional operative video demonstration in cadavers. Neurosurgery. 2014 Dec;10 Suppl 4:656; discussion 656. IF-3.031;CI-2 9. Jotwani P, Srivastav V, Tripathi M, Deo RC, Baby B, Damodaran N, Singh R, Suri A, Bettag M, Roy TS, Busert C, Mehlitz M, Lalwani S, Garg K, Paul K, Prasad S, Banerjee S, Kalra P, Kumar S, Sharma BS, Mahapatra AK. Free-access open-source e-learning in comprehensive neurosurgery skills training. Neurol India. 2014 Jul-Aug; 62(4):352-61. IF-1.084;CI-4 10. Suri A, Roy TS, Lalwani S, Deo RC, Tripathi M, Dhingra R, Bhardwaj DN, Sharma BS. Practical guidelines for setting up neurosurgery skills training cadaver laboratory in India. Neurol India. 2014 May-Jun;62(3):249-56. IF-1.084; CI-8 11. Tripathi M, Deo RC, Srivastav V, Baby B, Singh R, Damodaran N, Suri A. Neurosurgery apps: novel knowledge boosters. Turk Neurosurg.2014;24(6):828-38. IF-0.529;CI-1 12. Ashish Suri, Manjul Tripathi, Martin Bettag, Tara Sankar Roy, Sanjeev Lalwani. Simulation Based Skills Training in Neurosurgery and Contemporary Surgical Practices Annals of National Academy of Medical Sciences (India); 2016: Jan-Jun 52, 1-2. In Press. 13. Suri A, Martin Bettag, Manjul Tripathi, Rama Chandra Deo, Tara Sankar Roy, Sanjeev Lalwani, Christoph Busert, Marcus Mehlitz, Britty Baby, Vinkle Srivastav, Ramandeep Singh, Subodh Kumar, Prem Kalra, Subhashis Banerjee, Kolin Paul, Sanjiva Prasad. Simulation in Neurosurgery in India- NETS. CNS Quarterly 2014, Summer issue; 23-26 14. Suri A, Tripathi Manjul, Britty Baby, Subhashish Banerji. Beyond the Lenses: Development of Hands-on and Virtual Neuroendoscopy Skills Training .Clinical Neuroendoscopy Current Status: Neuroendoscopy Study Group of India, edited by Dr. Deopujari, Dr. Venkataramanaa and Dr. Ashish Suri.Thieme Publishers Delhi, 2013; 139-149 15. Ramandeep Singh, Britty Baby, Ashish Suri, Sneh Anand. Virtual Repository of Microscopic and Neuro-endoscopic Instrumentation in Neurosurgery. IEEE Xplore. 16-18 March 2016. 3rd International Conference on Computing for Sustainable Global Development (INDIACom) 16. Pritam Prakash Shete, Ashish Suri,Dinesh Sarode,Mohini Laghate,S. K. Bose. Trimiti - a real-time stereoscopic vision system for neurosurgery training using surgical microscope. IEEE Xplore. 10-13 Aug. 2015, 1333 – 1339Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on DOI: 10.1109/ICACCI.2015.7275797 17. Ramandeep Singh, Britty Baby, Vinkle Kumar Srivastav, Natesan Damodaran,Ashish Suri. A novel electro-mechanical neuro-endoscopic box trainer. IEEE Xplore. 28-30 May 2015, 917 – 921; Industrial Instrumentation and Control (ICIC), 2015 International Conference. DOI: 10.1109/IIC.2015.7150874 18. Vinkle Kumar Srivastav, Natesan Damodaran, Britty Baby, Ashish Suri. Internet-enabled Skills Training Platform for Neurosurgical Training – Proceedings of "Networked Healthcare Technology (NetHealth) Workshop". IEEE Xplore. 6-10 Jan 2015, 1-3; 7th International Conference on Communication Systems and Networks (COMSNETS), DOI: 10.1109/COMSNETS.2015.7098726 ISSN:2155-2487

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