4.4 Article

Teaching Important Basic EEG Patterns of Bedside Electroencephalography to Critical Care Staffs: A Prospective Multicenter Study

Journal

NEUROCRITICAL CARE
Volume 34, Issue 1, Pages 144-153

Publisher

HUMANA PRESS INC
DOI: 10.1007/s12028-020-01010-5

Keywords

Education; Public health professional; Electroencephalography; Intensive care units

Funding

  1. IctalGroup research network, Versailles, France

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A training program consisting of face-to-face EEG courses and e-learning was effective in helping critical care staff accurately recognize important basic EEG patterns. The majority of participants achieved a success rate of at least 80% correct answers at day 90, showing a significant increase in knowledge and skills over time. Challenges still exist in correctly identifying some specific EEG patterns, indicating areas for potential improvement in training strategies.
Background Continuous electroencephalography (cEEG) is commonly recommended for neurocritical care patients. Routine implementation of such monitoring requires the specific training of professionals. The aim of this research was to evaluate the effectiveness of a training program on initiation of the basic interpretation of cEEG for critical care staff in a prospective multicenter study. Methods After completion of a pretest, participants (senior physicians, fellows, residents, medical students, and nurses) recruited in six French ICUs participated in a face-to-face electroencephalogram (EEG) training program followed by additional e-learning sessions at day 1 (post-course), day 15, day 30, and day 90, based on training tests followed by illustrated and commented answers. Each test was designed to evaluate knowledge and skills through correct recognition of ten predefined EEG sequences covering the most common normal and abnormal patterns. The primary objective was to achieve a success rate > 80% correct answers at day 90 by at least 75% of the participants. Results Among 250 participants, 77/108 (71.3%) who completed the full training program achieved at least 80% correct answers at day 90. Paired comparisons between the scores obtained at each evaluation showed an increase over time. The rate of correct answers at day 90 was > 80% for all common predefined EEG sequences, except for the recognition of periodic and burst-suppression patterns and reactivity, which were identified in only 42.6% (95% CI 36.4-48.8), 60.2% (54.1-66.3), and 70.4% (64.7-76.1) of the tests, respectively. Conclusions A training strategy for the basic interpretation of EEG in ICUs, consisting of a face-to-face EEG course supplemented with reinforcement of knowledge by e-learning, was associated with significant resignation and an effectiveness of training allowing 71% of learners to accurately recognize important basic EEG patterns encountered in critically ill patients.

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