2020
DOI: 10.1136/bmjopen-2019-033676
|View full text |Cite
|
Sign up to set email alerts
|

Adjusting Early Warning Score by clinical assessment: a study protocol for a Danish cluster-randomised, multicentre study of an Individual Early Warning Score (I-EWS)

Abstract: IntroductionTrack and trigger systems (TTSs) based on vital signs are implemented in hospitals worldwide to identify patients with clinical deterioration. TTSs may provide prognostic information but do not actively include clinical assessment, and their impact on severe adverse events remain uncertain. The demand for prospective, multicentre studies to demonstrate the effectiveness of TTSs has grown the last decade. Individual Early Warning Score (I-EWS) is a newly developed TTS with an aggregated score based … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
21
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 11 publications
(26 citation statements)
references
References 40 publications
0
21
0
Order By: Relevance
“…I‐EWS is based on the same vital signs and relates to the same escalation protocol as NEWS. However, the scores can be adjusted with a maximum of −4 or + 6 points by nursing staff based on their clinical assessment (Nielsen et al., 2020). I‐EWS has been compared to NEWS in a Danish cluster‐randomized, crossover study (estimated N = 150.000) with all‐cause mortality at 30 days as the primary endpoint (Nielsen et al., 2020).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…I‐EWS is based on the same vital signs and relates to the same escalation protocol as NEWS. However, the scores can be adjusted with a maximum of −4 or + 6 points by nursing staff based on their clinical assessment (Nielsen et al., 2020). I‐EWS has been compared to NEWS in a Danish cluster‐randomized, crossover study (estimated N = 150.000) with all‐cause mortality at 30 days as the primary endpoint (Nielsen et al., 2020).…”
Section: Introductionmentioning
confidence: 99%
“…However, the scores can be adjusted with a maximum of −4 or + 6 points by nursing staff based on their clinical assessment (Nielsen et al., 2020). I‐EWS has been compared to NEWS in a Danish cluster‐randomized, crossover study (estimated N = 150.000) with all‐cause mortality at 30 days as the primary endpoint (Nielsen et al., 2020). The focus group study presented in this paper relates to the cluster‐randomized study and contributes with knowledge and insight into RNs' experiences and perceptions with using both NEWS and I‐EWS to identify patient deterioration.…”
Section: Introductionmentioning
confidence: 99%
“…This suggests that the clinical use of EWSs may not be solely dependent on its predictive results without clinical nurses’ professional judgment. Meanwhile, Nielsen et al developed the Individual Early Warning Score (I-EWS), which is the combination of NEWS and clinical assessment of clinical nurses, and its prediction ability is better than NEWS alone [ 37 ]. The I-EWS allows clinical nurses to adjust the NEWS score according to the clinical evaluation according to nurses’ experience and patients’ condition, and the I-EWS score can be modified range from −4 to +6 points [ 37 ].…”
Section: Discussionmentioning
confidence: 99%
“…Meanwhile, Nielsen et al developed the Individual Early Warning Score (I-EWS), which is the combination of NEWS and clinical assessment of clinical nurses, and its prediction ability is better than NEWS alone [ 37 ]. The I-EWS allows clinical nurses to adjust the NEWS score according to the clinical evaluation according to nurses’ experience and patients’ condition, and the I-EWS score can be modified range from −4 to +6 points [ 37 ]. This suggests that I-EWS could be used and further validated in predicting deterioration of postoperative brain tumor patients by combining EWSs with individual clinical evaluation of nurses to improve the accuracy.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, data analytics tools should augment rather than replace clinical experience, and explicitly incorporating surgeon judgment into predictive models may enhance stakeholder acceptance. 132 …”
Section: Implementation and Evaluationmentioning
confidence: 99%