Implementation of an evidence-based seizure algorithm in intellectual disability nursing: A pilot study
Related Experiment Video
Updated: Apr 5, 2026

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note
Published on: June 13, 2016
Kathy Auberry1, Deborah Cullen2
1Indiana University School of Nursing, USA kauberry@iupuc.edu.
Abstract:
Based on the results of the Surrogate Decision-Making Self Efficacy Scale (Lopez, 2009a), this study sought to determine whether nurses working in the field of intellectual disability (ID) experience increased confidence when they implemented the American Association of Neuroscience Nurses (AANN) Seizure Algorithm during telephone triage. The results of the study indicated using the AANN Seizure Algorithm increased self-confidence for many of the nurses in guiding care decisions during telephone triage. The treatment effect was statistically significant -3.169(p < 0.01) for a small sample of study participants. This increase in confidence is clinically essential for two reasons. Many individuals with ID and epilepsy reside within community-based settings. ID nurses provide seizure guidance to this population living in community-based settings via telephone triage. Evidenced-based training tools provide a valuable mechanism by guiding nurses via best practices. Nurses may need to be formally trained for seizure management due to high epilepsy rates in this population.
More Related Videos
Related Concept Videos
Seizures: Classification
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Intellectual Disability

