Dataset Information

A Video-Based Introductory EEG Curriculum for Neurology Residents and Other EEG Learners.

ABSTRACT:

Introduction

It is difficult to provide standardized formal education in EEG because of time limitations and the availability of expert teachers. Video-based miniature lectures are a useful way to standardize the foundational principles of EEG and support learning during EEG/epilepsy rotations.

Methods

A curriculum of 10 EEG teaching videos was developed based on concepts outlined in the Accreditation Council for Graduate Medical Education Neurology Milestones. The videos were short (6-17 minutes) and made available to residents rotating through an EEG/epilepsy rotation in two neurology residency programs. Residents were instructed to review the videos and then apply their newly learned skills during EEG reading sessions. A survey about the process was completed at the end of the year.

Results

Twenty-one residents participated in the curriculum, and 15 (71%) responded to the survey. Two-thirds of respondents (10/15) said that they watched all of the videos, and 87% (13/15) watched at least half of the videos. All of the respondents used the videos as introductions to EEG concepts, and approximately half of respondents returned to the videos as a refresher after the rotation was over. Nearly all respondents either agreed or strongly agreed that the curriculum was a useful component of the rotation and helped them to understand difficult concepts. All strongly agreed that they would recommend the curriculum to other residents.

Discussion

A video-based approach to EEG teaching could complement existing curricula and ensure that learners have access to foundational miniature lectures when and where they need them.

SUBMITTER: Moeller JJ

PROVIDER: S-EPMC6342517 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Publications

A Video-Based Introductory EEG Curriculum for Neurology Residents and Other EEG Learners.

Moeller Jeremy J JJ Farooque Pue P Leydon Gary G Dominguez Moises M Schwartz Michael L ML Sadler R Mark RM

MedEdPORTAL : the journal of teaching and learning resources 20170417

<h4>Introduction</h4>It is difficult to provide standardized formal education in EEG because of time limitations and the availability of expert teachers. Video-based miniature lectures are a useful way to standardize the foundational principles of EEG and support learning during EEG/epilepsy rotations.<h4>Methods</h4>A curriculum of 10 EEG teaching videos was developed based on concepts outlined in the Accreditation Council for Graduate Medical Education Neurology Milestones. The videos were sho ...[more]

PMID: 30800772

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Project description:AudienceThis curriculum is designed for emergency medicine attendings in varying years of community practice to prepare them for Emergency Medicine (EM) residents.Length of curriculum15 months.IntroductionEmergency medicine is a growing field with new residencies approved every year. A strong, competent cadre of clinical educators is essential to the success of any residency, and new programs have the challenge of developing their clinical faculty into outstanding teachers. There is minimal literature guidance for navigating this transition. Our site is a community tertiary care center in the process of applying for an EM residency. We focus on our experience designing a faculty development curriculum to accommodate the needs of a diverse group of physicians in all stages of their careers. We will demonstrate that a curriculum satisfying all stakeholders can easily be implemented in a way that allows for robust participation without excessive additional administrative burden.Educational goalsOur goal is to prepare community-based EM attendings to be outstanding educators to future residents by augmenting their knowledge of current educational practice and adult learning theory, literature review, and biostatistics.Educational methodsThe educational strategies used in this curriculum included lectures, guided discussion, small group discussion, and asynchronous learning.Research methodsThis curriculum was implemented in the Geisinger Wyoming Valley Medical center targeted at staff physicians. This educational study was deemed exempt by the institutional review board (IRB). We electronically collected retrospective survey data using a 5-point Likert scale as well as free text responses. The primary measure was agreement with the statement, "Faculty development time makes me feel more prepared to be a clinical educator." We also surveyed whether this was felt to be an appropriate use of time, self-reported growth in key educational and biostatistical domains, and likeliness to change practice based on the material.ResultsResponses collected from core faculty after the sessions indicated a uniformly positive review of the series itself with the primary outcome receiving a 4.6 rating on a 5-point Likert scale (strong agreement). Faculty reported that these brief sessions improved the quality of the departmental staff meetings (average rating 4.7/5). Journal club sessions were rated as positive (4.7/5) and attendees self-reported growth in statistical literacy and security in clinical practice.DiscussionWe demonstrated successful implementation of a faculty development curriculum that was favorably assessed by all key stakeholders. Faculty self-reported growth in all educational and clinical domains evaluated. It was successfully implemented without substantially increasing the time burden for physicians with robust clinical and administrative schedules. We feel this is generalizable to other sites seeking to start an EM residency and is useful for sites with existing residencies to efficiently deliver content to junior faculty.TopicsEmergency medicine, faculty development, journal club, virtual learning.

Dataset Information

A Video-Based Introductory EEG Curriculum for Neurology Residents and Other EEG Learners.

Introduction

Methods

Results

Discussion

Publications

A Video-Based Introductory EEG Curriculum for Neurology Residents and Other EEG Learners.

Similar Datasets

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