Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Advanced ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Advanced Nursing
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

Perception of clinical deterioration cues among medical‐surgical nurses

Authors: Sabrina B. Orique; Laurel Despins; Bonnie J. Wakefield; Sanda Erdelez; Amy Vogelsmeier;

Perception of clinical deterioration cues among medical‐surgical nurses

Abstract

AbstractAimTo examine medical‐surgical nurses’ capacity and tendency to perceive cues indicating clinical deterioration and nursing characteristics influencing deterioration cue perception.DesignCross‐sectional, explorative study design.MethodsData were collected over 10 weeks between September–November 2017. Medical‐surgical nurses completed an online survey consisting of a demographic questionnaire, the Occupational Fatigue, Exhaustion Recovery scale and 50 detection trials. Descriptive statistics and statistical tests were used to describe and interpret data.FindingsA significant association was found between nurses’ capacity and tendency to perceive deterioration cues. As nurses’ capacity to perceive deterioration cues increased, nurses were more likely to classify patient cues as indicators of deterioration. Fatigue, education, and certification were not identified as characteristics associated with deterioration cue perception. However, experience was observed to significantly influence nurses’ capacity to perceive deterioration cues based on levels of skills acquisition.ConclusionStudy findings imply that future research should be directed at determining whether other individual factors and organizational system dynamics influence deterioration cue perception.ImpactTo better understand how nurses perceive deterioration cues, this study integrated concepts from the Situation Awareness model and Signal Detection Theory. Novice, advanced beginner and competent nurses were found to have a lower capacity to perceive deterioration cues compared with proficient and expert nurses. With simulation increasingly being used as a primary teaching modality in nursing, the development of a simulation‐based signal detection training intervention may be beneficial in enhancing deterioration cue perception.

Related Organizations
Keywords

Adult, Male, Clinical Deterioration, Attitude of Health Personnel, Medical-Surgical Nursing, Middle Aged, Nursing Staff, Hospital, Cross-Sectional Studies, Humans, Female, Cues

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!