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Filename: drivers/Session_files_driver.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
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Background: Aneurysm clipping requires the proficiency of several skills, yet the traditional way of practicing them has been recently challenged, especially by the growth of endovascular techniques. The use of simulators could be an alternative educational tool, but some of them are cumbersome, expensive to implement, or lacking in realism. The aim of this study is to evaluate a reusable low-cost 3-dimensional printed training model we developed for aneurysm clipping.
Methods: The simulator was designed to replicate the bone structure, arteries, and targeted aneurysms. Thirty-two neurosurgery residents performed a craniotomy and aneurysm clipping using the model and then filled out a survey. They were divided into Junior and Senior groups. Descriptive, exploratory, and confirmatory factor analysis was performed using IBM SPSS statistical software.
Results: The overall residents' response was positive, with high scores to face validity and content validity questions. There was no significant statistical difference between the Junior and Senior groups. The confirmatory factor and internal consistency analysis confirmed that the evaluation was highly reliable. Globally, 97% of the residents found the model was useful and would repeat the simulator experience. The financial cost is $2500 USD for implementation and only $180 USD if further training sessions are required.
Conclusions: The main strengths of our training model are its highlighted realism, adaptability to trainees of different levels of expertise, sustainability, and low cost. Our data support the concept that it can be incorporated as a new training opportunity during professional specialty meetings and/or within residency academic programs.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.wneu.2020.11.136 | DOI Listing |
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