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Abstract Details

3D Model Simulation is more effective in teaching Functional Neuroanatomy to APPs
Research Methodology, 好色先生, and History
P5 - Poster Session 5 (8:00 AM-9:00 AM)
13-001
The use of 3D neuroanatomical model simulation is more effective in teaching functional neuroanatomy and localization to APPs than traditional 2D neuroanatomical teaching.

There is currently a shortage of neurologists in the US. The AAN has endorsed the role of advanced practice providers (APPs) in the multidisciplinary care of neurologic patients, yet APP training in neurology continues to be dismal. Until now, no neurology literature was available for APPs to learn neuroanatomy, and APPs had to rely on books geared towards residents.

This is an online asynchronous multi-module course using 3D anatomical models to teach functional neuroanatomy and localization.  Three-D models were developed from MRI data, then refined manually using 3D programs such as Zbrush and Cinema 4D. The course includes 4 modules; motor pathways, sensory pathways, visual pathways, and higher cortical functions. APP students enrolled in the course had already completed their 4-week neurology module in the Physician-assistant program.  Knowledge was assessed with a pre- and post-test for each module using clinical cases with MCQs. Pre-tests represented knowledge acquired from the traditional 2D program. Post-tests represented knowledge acquired from the 3D online course. The course was evaluated by a Likert scale on; Clarity of concepts taught, quality of 3D models, convenience of the online course. 
A total of 159 APPs enrolled in the course. The pre-test average score was 40%, the post-test average score was 75%. The Course was rated using the Likert scale as follows; Clarity of concepts taught 4.5/5; Quality of 3D models 5/5; Convenience of online course 5/5.

This is the first neuroanatomy course geared towards neurology APPs. Using 3D neuroanatomical model simulation is more effective in teaching neuroanatomy and localization than traditional 2D teaching. This should help with faster onboarding. Future directions include expanding the course to include more modules.
Authors/Disclosures
Karima Benameur, MD (Emory University)
PRESENTER 		Dr. Benameur has nothing to disclose.
Bona Kim (National Library of Medicine) No disclosure on file