Literature DB >> 28928156

Clinician Perceptions of an Early Warning System on Patient Safety.

Aisha de Vries1, Jos M T Draaisma1, Joris Fuijkschot2.   

Abstract

BACKGROUND AND OBJECTIVES: The Pediatric Early Warning Score (PEWS) aims to improve early recognition of clinical deterioration and is widely used despite lacking evidence of effects on outcome measures such as hospital mortality. In this qualitative study, we aimed to study effects of both PEWS and the locally designed risk stratification system by focusing on professionals' perception of their performance. We also sought to gain insight into the perceived effects of PEWS and the risk stratification system on patient safety and to unravel the underlying mechanisms.
METHODS: A single-center cross-sectional observational study whereby 16 semistructured interviews were held with selected health care professionals focusing on perceived effects and underlying mechanisms. Interviews were transcribed verbatim and coded without using a predetermined set of themes.
RESULTS: Coding from semistructured interviews demonstrated that perceived value was related to effects on different levels of Endsley and co-workers' situational awareness (SA) model. PEWS mainly improved level 1 SA, whereas the risk stratification system also seemed to improve levels 2 and 3 SA.
CONCLUSIONS: This study shows clear effects of PEWS on SA among professionals. It also points to the additional value of other risk factor stratification systems to help further improve PEWS functioning.
Copyright © 2017 by the American Academy of Pediatrics.

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Year:  2017        PMID: 28928156     DOI: 10.1542/hpeds.2016-0138

Source DB:  PubMed          Journal:  Hosp Pediatr        ISSN: 2154-1671


  7 in total

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Journal:  Int J Environ Res Public Health       Date:  2021-04-25       Impact factor: 3.390

2.  Can a pulse oxygen saturation of 95% to 96% help predict further vital sign destabilization in school-aged children?: A retrospective observational study.

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3.  Optimising paediatric afferent component early warning systems: a hermeneutic systematic literature review and model development.

Authors:  Nina Jacob; Yvonne Moriarty; Amy Lloyd; Mala Mann; Lyvonne N Tume; Gerri Sefton; Colin Powell; Damian Roland; Robert Trubey; Kerenza Hood; Davina Allen
Journal:  BMJ Open       Date:  2019-11-14       Impact factor: 2.692

4.  Accuracy and Monitoring of Pediatric Early Warning Score (PEWS) Scores Prior to Emergent Pediatric Intensive Care Unit (ICU) Transfer: Retrospective Analysis.

Authors:  Rebecca L Kowalski; Laura Lee; Michael C Spaeder; J Randall Moorman; Jessica Keim-Malpass
Journal:  JMIR Pediatr Parent       Date:  2021-02-22

5.  Qualitative Study of Pediatric Early Warning Systems' Impact on Interdisciplinary Communication in Two Pediatric Oncology Hospitals With Varying Resources.

Authors:  Dylan Graetz; Erica C Kaye; Marcela Garza; Gia Ferrara; Mario Rodriguez; Dora Judith Soberanis Vásquez; Alejandra Méndez Aceituno; Federico Antillon-Klussmann; Jami S Gattuso; Belinda N Mandrell; Justin N Baker; Carlos Rodriguez-Galindo; Jennifer W Mack; Asya Agulnik
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Authors:  Le Zheng; Oliver Wang; Shiying Hao; Chengyin Ye; Modi Liu; Minjie Xia; Alex N Sabo; Liliana Markovic; Frank Stearns; Laura Kanov; Karl G Sylvester; Eric Widen; Doff B McElhinney; Wei Zhang; Jiayu Liao; Xuefeng B Ling
Journal:  Transl Psychiatry       Date:  2020-02-20       Impact factor: 6.222

7.  Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study.

Authors:  Sahil Sandhu; Anthony L Lin; Nathan Brajer; Jessica Sperling; William Ratliff; Armando D Bedoya; Suresh Balu; Cara O'Brien; Mark P Sendak
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  7 in total

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