Literature DB >> 20190200

Implementation of the pediatric early warning scoring system on a pediatric hematology/oncology unit.

Kathleen M Demmel1, Lucinda Williams, Laura Flesch.   

Abstract

Despite improved outcomes for pediatric Hematology/Oncology patients over the past 15-20 years, sepsis and other acute events continue to cause serious illness in these children. Implementing a pediatric early warning scoring tool (PEWS) with an associated multi-disciplinary action algorithm in a pediatric Hematology/Oncology unit helped to remove barriers that prevented timely referral of children who are clinically deteriorating and requiring immediate help, enhanced multi-disciplinary team communication, and has led to a more than 3-fold increase in days between codes on the Hematology/Oncology unit.

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Year:  2010        PMID: 20190200     DOI: 10.1177/1043454209358410

Source DB:  PubMed          Journal:  J Pediatr Oncol Nurs        ISSN: 1043-4542            Impact factor:   1.636


  7 in total

1.  Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Authors:  Haijun Zhai; Patrick Brady; Qi Li; Todd Lingren; Yizhao Ni; Derek S Wheeler; Imre Solti
Journal:  Resuscitation       Date:  2014-05-09       Impact factor: 5.262

2.  Patient and hospital factors associated with induction mortality in acute lymphoblastic leukemia.

Authors:  Alix E Seif; Brian T Fisher; Yimei Li; Kari Torp; Douglas P Rheam; Yuan-Shung V Huang; Tracey Harris; Ami Shah; Matthew Hall; Evan S Fieldston; Marko Kavcic; Marijana Vujkovic; L Charles Bailey; Leslie S Kersun; Anne F Reilly; Susan R Rheingold; Dana M Walker; Richard Aplenc
Journal:  Pediatr Blood Cancer       Date:  2013-11-19       Impact factor: 3.167

Review 3.  Paediatric early warning systems for detecting and responding to clinical deterioration in children: a systematic review.

Authors:  Veronica Lambert; Anne Matthews; Rachel MacDonell; John Fitzsimons
Journal:  BMJ Open       Date:  2017-03-13       Impact factor: 2.692

4.  The Impact of Automated Electronic Surveillance of Electronic Medical Records on Pediatric Inpatient Care.

Authors:  Jais Emmanuel; Adalberto Torres
Journal:  Cureus       Date:  2018-10-01

5.  Validity and effectiveness of paediatric early warning systems and track and trigger tools for identifying and reducing clinical deterioration in hospitalised children: a systematic review.

Authors:  Rob Trubey; Chao Huang; Fiona V Lugg-Widger; Kerenza Hood; Davina Allen; Dawn Edwards; David Lacy; Amy Lloyd; Mala Mann; Brendan Mason; Alison Oliver; Damian Roland; Gerri Sefton; Richard Skone; Emma Thomas-Jones; Lyvonne N Tume; Colin Powell
Journal:  BMJ Open       Date:  2019-05-05       Impact factor: 2.692

6.  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

Review 7.  Improving child health through Big Data and data science.

Authors:  Zachary A Vesoulis; Ameena N Husain; F Sessions Cole
Journal:  Pediatr Res       Date:  2022-08-16       Impact factor: 3.953

  7 in total

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