Evidence map›Paper›PMID 29067633›Full record

ArticleNeurocritical care2018

Implementation of Continuous Video-Electroencephalography at a Community Hospital Enhances Care and Reduces Costs.

Brad J Kolls, Brian E Mace, Keith E Dombrowski

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Detecting Seizures and Epileptiform Abnormalities in Acute Brain Injury.Current neurology and neuroscience reports · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Brad J KollsDepartment of Neurology, Brain Injury Translational Research Laboratories, Duke University School of Medicine, 311 Research Drive, Bryan Research Building, DUMC 2900, Durham, NC, 27710, USA. kolls001@mc.duke.edu.
Brian E MaceDepartment of Neurology, Brain Injury Translational Research Laboratories, Duke University School of Medicine, 311 Research Drive, Bryan Research Building, DUMC 2900, Durham, NC, 27710, USA.
Keith E DombrowskiDepartment of Neurology, Brain Injury Translational Research Laboratories, Duke University School of Medicine, 311 Research Drive, Bryan Research Building, DUMC 2900, Durham, NC, 27710, USA.
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite data indicating the importance of continuous video-electroencephalography (cvEEG) monitoring, adoption has been slow outside major academic centers. Barriers to adoption include the need for technologists, equipment, and cvEEG readers. Advancements in lower-cost lead placement templates and commercial systems with remote review may reduce barriers to allow community centers to implement cvEEG. Here, we report our experience, lessons learned, and financial impact of implementing a community hospital cvEEG-monitoring program.

methodsWe implemented an adult cvEEG service at Duke Regional Hospital (DRH), a community hospital affiliate, in June of 2012. Lead placement templates were used in the implementation to reduce the impact on technologists by using other bedside providers for EEG initiation. Utilization of the service, study quality, and patient outcomes were tracked over a 3-year period following initiation of service.

resultsService was implemented at essentially no cost. Utilization varied from a number of factors: intensive care unit (ICU) attending awareness, limited willingness of bedside providers to perform lead placement, and variation in practice of the consulting neurologists. A total of 92 studies were performed on 88 patients in the first 3 years of the program, 24 in year one, 27 in year two, and 38 in year three, showing progressive adoption. Seizures were seen in 25 patients (27%), 19 were in status, of which 18 were successfully treated. Transfers to the main hospital, Duke University Medical Center, were prevented for 53 patients, producing an estimated cost savings of $145,750. The retained patients produced a direct contribution margin of about $75,000, and the margin was just over $100,000 for the entire monitored cohort.

conclusionICU cvEEG service is feasible and practical to implement at the community hospital level. Service was initiated at little to no cost and clearly enhanced care, increased breadth of care, increased ICU census, and reduced transfers. The system allowed for successful management of ICU patients with underlying seizures and eliminated interfacility transfers, producing a savings of $145,750. The savings combined with the retained patient revenue produced a total revenue of over $250,000 with additional revenue in professional services as well. These results suggest expansion of cvEEG monitoring to community ICUs is practical, financially sustainable, improves the level and quality of care, and reduces costs.

Indexed as

Cost SavingsElectroencephalographyFeasibility StudiesHospitals, CommunityHumansIntensive Care UnitsMonitoring, PhysiologicOutcome and Process Assessment, Health CareProcedures and Techniques UtilizationSeizuresVideo RecordingBusiness developmentCommunity hospitalContinuous video-EEG monitoringCostICU EEGImplementation

Identifiers

PMID29067633
OpenAlexW2766793390

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.