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1.
J Clin Neurophysiol ; 39(4): 271-275, 2022 May 01.
Article in English | MEDLINE | ID: mdl-32956093

ABSTRACT

PURPOSE: We implemented a video ambulatory EEG (VA-EEG) Program as an alternative to inpatient video EEG monitoring for some patients given potential benefits related to quicker access, greater convenience, and lower cost. To evaluate the newly initiated program, we performed a quality improvement study to assess whether VA-EEG yielded studies with interpretable EEG and video quality that generated clinically beneficial data. METHODS: This was a single-center prospective quality improvement study. We surveyed ordering clinicians, electroencephalographers, and caregivers regarding consecutive children who underwent clinically indicated VA-EEG. The primary outcome was the percentage of VA-EEG studies in which the ordering clinician reported that the study had answered the question of interest. RESULTS: We evaluated 74 consecutive children selected to undergo clinically indicated VA-EEG by their clinicians and caregivers. Ordering clinicians reported that 77% of studies answered the question of interest. Electroencephalographers reported that the quality of the EEG and video was excellent or adequate in 100% and 92% of patients, respectively. Additionally, 84% of caregivers reported preferring VA-EEG if EEG data were needed in the future. CONCLUSIONS: Video ambulatory EEG may be an effective diagnostic modality among children selected by clinicians and caregivers to undergo long-term EEG monitoring. Given it is effective as well as convenient, accessible, and lower cost than inpatient EEG monitoring, all of which align with our institution's quality goals, we intend to expand our VA-EEG Program.


Subject(s)
Epilepsy , Child , Electroencephalography , Epilepsy/diagnosis , Humans , Monitoring, Physiologic , Prospective Studies , Quality Improvement , Video Recording
2.
J Clin Neurophysiol ; 38(6): 525-529, 2021 Nov 01.
Article in English | MEDLINE | ID: mdl-32541608

ABSTRACT

PURPOSE: Neonatal seizures are common and difficult to identify clinically because the majority are subclinical and correct identification of electroclinical seizures based on semiology is unreliable. Therefore, continuous EEG monitoring (CEEG) is critical for seizure identification in neonates and is recommended as the gold standard method in American Clinical Neurophysiology Society guidelines. Despite these recommendations, barriers to implementing widespread CEEG exist. METHODS: To expand access to CEEG for at-risk neonates, a framework for providing remote CEEG was established at two network hospital neonatal intensive care units. Utilization and clinical impact were tracked as a quality improvement study. RESULTS: In a 27-month period from June 2017 through September 2019, 76 neonates underwent CEEG between the two network neonatal intensive care units. Electrographic seizures occurred in about one quarter of records (18/76; 24%), though their incidence varied by CEEG indication. Care notes indicated that CEEG impacted clinical care in three quarters of cases (57/76; 75%). Continuous EEG impacted decisions to treat with anti-seizure medications in approximately one half of patients (impact: 28/57 [49%]; no impact 29/57 [51%]), and CEEG impacted prognostic discussions in approximately two thirds of patients (impact: 39/57 [68%]; no impact 18/57 [32%]). CONCLUSIONS: Establishment of a remote CEEG program for neonates is feasible, effective at identifying seizures, and improves the quality of care provided to neonates hospitalized at these network hospitals.


Subject(s)
Epilepsy , Intensive Care Units, Neonatal , Electroencephalography , Humans , Infant, Newborn , Monitoring, Physiologic , Seizures/diagnosis
3.
J Clin Neurophysiol ; 37(5): 455-461, 2020 Sep.
Article in English | MEDLINE | ID: mdl-31688354

ABSTRACT

RATIONALE: Implementation of electronic health records may improve the quality, accuracy, timeliness, and availability of documentation. Thus, our institution developed a system that integrated EEG ordering, scheduling, standardized reporting, and billing. Given the importance of user perceptions for successful implementation, we performed a quality improvement study to evaluate electroencephalographer satisfaction with the new EEG report system. METHODS: We implemented an EEG report system that was integrated in an electronic health record. In this single-center quality improvement study, we surveyed electroencephalographers regarding overall acceptability, report standardization, workflow efficiency, documentation quality, and fellow education using a 0 to 5 scale (with 5 denoting best). RESULTS: Eighteen electroencephalographers responded to the survey. The median score for recommending the overall system to a colleague was 5 (range 3-5), which indicated good overall satisfaction and acceptance of the system. The median scores for report standardization (4; 3-5) and workflow efficiency (4.5; 3-5) indicated that respondents perceived the system as useful and easy to use for documentation tasks. The median scores for quality of documentation (4.5; 1-5) and fellow education (4; 1-5) indicated that although most respondents believed the system provided good quality reports and helped with fellow education, a small number of respondents had substantially different views (ratings of 1). CONCLUSIONS: Overall electroencephalographer satisfaction with the new EEG report system was high, as were the scores for perceived usefulness (assessed as standardization, documentation quality, and education) and ease of use (assessed as workflow efficiency). Future study is needed to determine whether implementation yields useful data for clinical research and quality improvement studies or improves EEG report standardization.


Subject(s)
Electroencephalography/standards , Electronic Health Records/standards , Physicians/standards , Documentation/standards , Electroencephalography/methods , Humans , Surveys and Questionnaires , Workflow
4.
Neurodiagn J ; 59(3): 163-168, 2019.
Article in English | MEDLINE | ID: mdl-31411943

ABSTRACT

Collodion remover, a solvent blend used to remove collodion glue after long-term video EEG monitoring, was implicated as a potential causative factor in patient safety events at our institution during which damage to plastic components of medical devices was noted in the intensive care unit. We sought to determine experimentally whether collodion remover could lead to degradation of multiple plastic-containing medical devices commonly used in the intensive care unit to determine whether workflow changes were needed during electrode removal. We exposed devices to collodion remover for brief, intermediate, and prolonged durations. We report that collodion remover is capable of degrading the hard plastic components of multiple medical devices after prolonged exposure; however, intermediate duration exposure was also capable of producing damage to clave connectors used with intravenous and central lines, which could plausibly lead to adverse events given the widespread use of these devices. These data suggest a pathway-based approach to collodion remover use might be beneficial in minimizing the potential impact of this solvent on plastic-containing medical devices.


Subject(s)
Collodion/chemistry , Equipment and Supplies , Solvents , Tissue Adhesives/chemistry , Electroencephalography/instrumentation , Equipment Failure , Plastics
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