Literature DB >> 24561652

Quality indicators in an epilepsy monitoring unit.

Khara M Sauro1, Sophie Macrodimitris2, Christianne Krassman3, Samuel Wiebe1, Neelan Pillay4, Paolo Federico5, William Murphy4, Nathalie Jetté6.   

Abstract

Examining and improving the quality of care in epilepsy monitoring units (EMUs) is essential to delivering the best possible care and to mitigating undesirable outcomes. Epilepsy monitoring units are unique in that an admission to an EMU often involves the induction of symptoms (seizures) rather than minimizing and/or treating symptoms, which can lead to an increased risk to patient safety. Very little research has addressed the quality of care and safety in EMUs. The objective of this study was to examine quality indicators in a large population of patients admitted to an EMU in a large health region. Data were collected prospectively on 396 consecutive patients admitted to the EMU for scalp EEG recording from 2008 to 2011 using a standardized data abstraction form. Variables examined included the following: patient demographics, baseline clinical characteristics, EMU admission statistics, and EMU quality indicators. We found that an admission to the EMU was a safe and effective tool in the management of patients with epilepsy and seizure-like events. The number of adverse events during the study period was low at 4.9%. The admission question was answered in 78.8% of cases, and it was partially answered in 6.6%. The need for systematically developed and validated quality indicators in EMUs is emphasized. The research in this area is sparse, and thus these data aid in supporting the utility of EMUs in the management and care of those with seizures and seizure-like events.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Epilepsy; Epilepsy monitoring unit; Patient safety; Quality improvement; Quality indicators

Mesh:

Year:  2014        PMID: 24561652     DOI: 10.1016/j.yebeh.2014.01.021

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  4 in total

1.  Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation.

Authors:  Wesley T Kerr; Eric S Hwang; Kaavya R Raman; Sarah E Barritt; Akash B Patel; Justine M Le; Jessica M Hori; Emily C Davis; Chelsea T Braesch; Emily A Janio; Edward P Lau; Andrew Y Cho; Ariana Anderson; Daniel H S Silverman; Noriko Salamon; Jerome Engel; John M Stern; Mark S Cohen
Journal:  Int Workshop Pattern Recognit Neuroimaging       Date:  2014-06

2.  Developing and Implementing a Standardized Ictal Examination in the Epilepsy Monitoring Unit.

Authors:  Susanna S O'Kula; Lisa Faillace; Catherine V Kulick-Soper; Sahily Reyes-Esteves; Jackie Raab; Kathryn A Davis; Ammar Kheder; Chloe E Hill
Journal:  Neurol Clin Pract       Date:  2021-04

3.  Risk incidence of fractures and injuries: a multicenter video-EEG study of 626 generalized convulsive seizures.

Authors:  Katharina Frey; Johann Philipp Zöllner; Susanne Knake; Yulia Oganian; Lara Kay; Katharina Mahr; Fee Keil; Laurent M Willems; Katja Menzler; Sebastian Bauer; Susanne Schubert-Bast; Felix Rosenow; Adam Strzelczyk
Journal:  J Neurol       Date:  2020-07-10       Impact factor: 4.849

4.  How much time is enough? Establishing an optimal duration of recording for ambulatory video EEG.

Authors:  Hans Klein; Trudy Pang; Jeremy Slater; Richard Eugene Ramsay
Journal:  Epilepsia Open       Date:  2021-07-16
  4 in total

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