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

Overview of attention for article published in BMC Research Notes, January 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A preliminary study of a novel emergency department nursing triage simulation for research applications
Published in
BMC Research Notes, January 2017
DOI 10.1186/s13104-016-2337-3
Pubmed ID
Authors

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, Lisa D. Butler, Jessica P. Castner, G. Richard Braen

Abstract

Studying 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. Ten 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. Nurses 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. This 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.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 13%
Student > Ph. D. Student 17 9%
Researcher 16 9%
Student > Bachelor 15 8%
Student > Doctoral Student 10 5%
Other 38 21%
Unknown 62 34%
Readers by discipline Count As %
Nursing and Health Professions 51 28%
Medicine and Dentistry 27 15%
Computer Science 9 5%
Engineering 7 4%
Business, Management and Accounting 4 2%
Other 16 9%
Unknown 68 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2020.
All research outputs
#7,407,362
of 22,931,367 outputs
Outputs from BMC Research Notes
#1,217
of 4,278 outputs
Outputs of similar age
#139,338
of 421,214 outputs
Outputs of similar age from BMC Research Notes
#24
of 64 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.