Literature DB >> 22093593

Improving safety outcomes in the epilepsy monitoring unit.

Marie Atkinson1, Karthika Hari, Kimberly Schaefer, Aashit Shah.   

Abstract

Long term video electroencephalography (EEG) in epilepsy monitoring units (EMU) is used to diagnose and treat patients with epilepsy. Injury occurs in the EMU, including reports of death. No standardized patient safety protocols exist. Our objective is to determine the frequency and contributing factors to injury in the EMU. We reviewed medical records and video EEG of patients with epilepsy admitted to our EMU from December 1, 2008 to June 1, 2009. Data was collected on seizure type, onset, length, and frequency. Seizure related falls, injury, and adverse events were recorded. Data regarding the physical environment and treatment during seizures were analyzed too. 20 patients with 170 seizures were collected. Of the 170 total seizures captured, only 1 injury (0.6%) and 6 falls occurred (3.5%). 5 of the 6 falls were related to patients being ambulatory. No seizures resulted in prolonged stay. Of the 170 seizures captured, other adverse events included 1 status epilepticus (0.6%), 2 postictal aggression (1.2%), 4 objects in mouth (2.4%), 14 ambulatory at seizure onset (8.2%) and 5 postictal ambulation from bed (2.9%). Staff responded to 69 out of 170 seizures (40.6%). Of the 101 seizures without staff response, 57 seizures were electrographic without seizure detection software or push button activation. Falls and adverse events that can lead to injury occur in the EMU, yet the degree of actual injury is minimal. To improve safety outcomes, standardized protocols with appropriate outlined nursing care and procedures for continuous monitoring of patients by staff need to be employed.
Copyright © 2011 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22093593     DOI: 10.1016/j.seizure.2011.10.004

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  4 in total

1.  Safety in the EMU: Reaching Consensus.

Authors:  Jong Woo Lee; Aashit Shah
Journal:  Epilepsy Curr       Date:  2013-03       Impact factor: 7.500

2.  Dynamic training of a novelty classifier algorithm for real-time detection of early seizure onset.

Authors:  Daniel Ehrens; Mackenzie C Cervenka; Gregory K Bergey; Christophe C Jouny
Journal:  Clin Neurophysiol       Date:  2022-01-06       Impact factor: 3.708

3.  Seizure-Related Injuries among People with Epilepsy at the Outpatient Department of the University of Gondar Hospital, Northwest Ethiopia: Cross-Sectional Institutional-Based Study.

Authors:  Berhanu Boru Bifftu; Bewket Tadesse Tiruneh; Mengistu Mekonnen Kelkay; Nestanet Habte Bayu; Abebe Woldesellassie Tewolde; Wubet Worku Takele; Mehammed Adem Getnet; Abere Woretaw Azagew
Journal:  Neurol Res Int       Date:  2017-12-11

4.  Personalized safety measures reduce the adverse event rate of long-term video EEG.

Authors:  Judith Dobesberger; Julia Höfler; Markus Leitinger; Giorgi Kuchukhidze; Georg Zimmermann; Aljoscha Thomschewski; Iris Unterberger; Gerald Walser; Gudrun Kalss; Alexandra Rohracher; Caroline Neuray; Teia Kobulashvili; Yvonne Höller; Eugen Trinka
Journal:  Epilepsia Open       Date:  2017-09-18
  4 in total

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