Stephane Legriel1,2,3, Gwenaëlle Jacq4,5, Amandine Lalloz6, Guillaume Geri7, Pedro Mahaux7, Cedric Bruel5,8, Sandie Brochon8, Benjamin Zuber9, Cécile André9, Krystel Dervin10, Mathilde Holleville5,10, Alain Cariou11,6. 1. Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, 177 rue de Versailles, 78150, Le Chesnay Cedex, France. slegriel@ch-versailles.fr. 2. IctalGroup, Le Chesnay, France. slegriel@ch-versailles.fr. 3. INSERM U970, Paris Cardiovascular Research Center, Paris, France. slegriel@ch-versailles.fr. 4. Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, 177 rue de Versailles, 78150, Le Chesnay Cedex, France. 5. IctalGroup, Le Chesnay, France. 6. Medical Intensive Care Unit, Cochin Teaching Hospital, Assistance Publique Hôpitaux de Paris, Paris, France. 7. Medical-Surgical Intensive Care Unit, Ambroise Pare University Hospital, Boulogne, France. 8. Medical and Surgical Intensive Care Unit, Groupe Hospitalier Paris Saint Joseph, Paris, France. 9. Intensive Care Medicine Department, Foch Hospital, Suresnes, France. 10. Department of Anaesthesiology and Critical Care, Hôpital Beaujon, Hôpitaux Universitaires Paris Nord Val de Seine, Paris, France. 11. INSERM U970, Paris Cardiovascular Research Center, Paris, France.
Abstract
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. TRIAL REGISTRATION: ClinicalTrials.gov number: NCT03545776.
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. TRIAL REGISTRATION: ClinicalTrials.gov number: NCT03545776.
Entities:
Keywords:
Education; Electroencephalography; Intensive care units; Public health professional
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