Literature DB >> 29887281

Comparison of the Emergency Severity Index versus the Patient Acuity Category Scale in an emergency setting.

Ru Ying Fong1, Wee Sern Sim Glen2, Ahmad Khairil Mohamed Jamil2, Wilson Wai San Tam3, Yanika Kowitlawakul3.   

Abstract

OBJECTIVES: To compare the reliability, validity and resource utilization of the Emergency Severity Index (ESI) and Patient Acuity Category Scale (PACS) triage scales.
METHODS: A descriptive, correlational, and cross-sectional design was used. Twenty-seven triage nurses were recruited to test interrater reliability for 20 patient case scenarios. Subsequently, interrater reliability was tested on 300 actual patients. Construct validity was analyzed using patients' hospital dispositions and resources utilized.
RESULTS: For patient case scenarios, interrater reliability for both were very good, at 0.87 (95% CI: 0.86-0.88) for ESI and 0.88 (95% CI: 0.87-0.89) for PACS. For actual patients, interrater reliability for both were moderate, at 0.59 (95% CI: 0.50-0.68) for ESI and 0.49 (95% CI: 0.40-0.60) for PACS. Both ESI and PACS demonstrated construct validity with moderate correlations for hospital admissions and the number of resources used. PACS was unable to discriminate between patients that required more or less resources, whereas the ESI can. Patients that required two or more resources had higher rates of admission.
CONCLUSIONS: Both triage systems demonstrated moderate interrater reliability and construct validity in triaging actual patients. The ESI has better resource discrimination ability than the PACS and can improve resource management in the ED.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ESI; Emergency Severity Index; Emergency department; Overcrowding; PACS; Patient Acuity Categorization Scale; Reliability; Scale; Triage; Validity

Mesh:

Year:  2018        PMID: 29887281     DOI: 10.1016/j.ienj.2018.05.001

Source DB:  PubMed          Journal:  Int Emerg Nurs        ISSN: 1878-013X            Impact factor:   2.142


  4 in total

1.  Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.

Authors:  Feng Xie; Marcus Eng Hock Ong; Johannes Nathaniel Min Hui Liew; Kenneth Boon Kiat Tan; Andrew Fu Wah Ho; Gayathri Devi Nadarajan; Lian Leng Low; Yu Heng Kwan; Benjamin Alan Goldstein; David Bruce Matchar; Bibhas Chakraborty; Nan Liu
Journal:  JAMA Netw Open       Date:  2021-08-02

Review 2.  Modifications of emergency dental clinic protocols to combat COVID-19 transmission.

Authors:  Robert Hollinshead Long; Tyrous David Ward; Michael Edward Pruett; John Finklea Coleman; Marc Charles Plaisance
Journal:  Spec Care Dentist       Date:  2020-05-24

3.  Patient disposition using the Emergency Severity Index: a retrospective observational study at an interdisciplinary emergency department.

Authors:  Stefanie Völk; Uwe Koedel; Sophia Horster; Andreas Bayer; Jan G D'Haese; Hans-Walter Pfister; Matthias Klein
Journal:  BMJ Open       Date:  2022-05-12       Impact factor: 3.006

4.  Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.

Authors:  Nan Liu; Feng Xie; Fahad Javaid Siddiqui; Andrew Fu Wah Ho; Bibhas Chakraborty; Gayathri Devi Nadarajan; Kenneth Boon Kiat Tan; Marcus Eng Hock Ong
Journal:  JMIR Res Protoc       Date:  2022-03-25
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.