Evidence map›Paper›PMID 28057048›Full record

ArticleBMC research notes2017

A preliminary study of a novel emergency department nursing triage simulation for research applications.

Steven L Dubovsky, Daniel Antonius, David G Ellis, Werner Ceusters, Robert C Sugarman, Renee Roberts, Sevie Kandifer, James Phillips, Elsa C Daurignac, Kenneth E Leonard and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Effects of Virtual Reality Simulation on Worker Emergency Evacuation of Neonates.Disaster medicine and public health preparedness · 2019
    Article
  12. Review
  13. Review
  14. Review
  15. Article
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

13 authors at 2 institutions in 1 country.

Steven L DubovskyDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA. dubovsky@buffalo.edu.
Daniel AntoniusDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
David G EllisDepartment of Emergency Medicine, University at Buffalo, 462 Grider St, Buffalo, NY, 14215, USA.
Werner CeustersDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
Robert C SugarmanSchool of Dental Medicine, University at Buffalo, 462 Grider St, Buffalo, NY, 14215, USA.
Renee RobertsDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
Sevie KandiferDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
James PhillipsFull Circle Studios, 710 Main St, Buffalo, NY, 14202, USA.
Elsa C DaurignacDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
Kenneth E LeonardDepartment of Psychiatry, University at Buffalo, 462 Grider St, Room 1182, Buffalo, NY, 14215, USA.
Lisa D ButlerSchool of Social Work, University at Buffalo, 685 Baldy Hall, Buffalo, NY, USA.
Jessica P CastnerDepartment of Biomedical Informatics, University at Buffalo, 701 Ellicott St, Buffalo, NY, 14203, USA.
G Richard BraenDepartment of Emergency Medicine, University at Buffalo, 462 Grider St, Buffalo, NY, 14215, USA.
University at Buffalo, State University of New York · USFull Circle Research (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudying the effect on functioning of the emergency department of disasters with a potential impact on staff members themselves usually involves table top and simulated patient exercises. Computerized virtual reality simulations have the potential to configure a variety of scenarios to determine likely staff responses and how to address them without intensive utilization of resources. To decide whether such studies are justified, we determined whether a novel computer simulation has the potential to serve as a valid and reliable model of on essential function in a busy ED.

methodsTen experienced female ED triage nurses (mean age 51) mastered navigating a virtual reality model of triage of 4 patients in an ED with which they were familiar, after which they were presented in a testing session with triage of 6 patients whose cases were developed using the Emergency Severity Index to represent a range of severity and complexity. Attitudes toward the simulation, and perceived workload in the simulation and on the job, were assessed with questionnaires and the NASA task load index. Z-scores were calculated for data points reflecting subject actions, the time to perform them, patient prioritization according to severity, and the importance of the tasks. Data from questionnaires and scales were analyzed with descriptive statistics and paired t tests using SPSS v. 21. Microsoft Excel was used to compute a correlation matrix for all standardized variables and all simulation data.

resultsNurses perceived their work on the simulation task to be equivalent to their workload on the job in all aspects except for physical exertion. Although they were able to work with written communications with the patients, verbal communication would have been preferable. Consistent with the workplace, variability in performance during triage reflected subject skill and experience and was correlated with comfort with the task. Time to perform triage corresponded to the time required in the ED and virtual patients were prioritized appropriately according to severity.

conclusionsThis computerized simulation appears to be a reasonable accurate proxy for ED triage. If future studies of this kind of simulation with a broader range of subjects that includes verbal communication between virtual patients and subjects and interactions of multiple subjects, supports the initial impressions, the virtual ED could be used to study the impact of disaster scenarios on staff functioning.

Indexed as

Education, NursingEmergency Service, HospitalAdultCommunicationCost-Benefit AnalysisFemaleHumansMiddle AgedNursingPatient SimulationProfessional-Patient RelationsSurveys and QuestionnairesTime FactorsTriageComputerDisasterEmergency departmentSimulation

Identifiers

PMID28057048
PMCPMC5217538
OpenAlexW2570434451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.