Literature DB >> 22379384

Implementing the Bedside Paediatric Early Warning System in a community hospital: A prospective observational study.

Christopher S Parshuram1, Ann Bayliss, Janette Reimer, Kristen Middaugh, Nadeene Blanchard.   

Abstract

BACKGROUND: Late transfer of children with critical illness from community hospitals undermines the advantages of community-based care. It was hypothesized that implementation of the Bedside Paediatric Early Warning System (Bedside PEWS) would reduce late transfers.
METHODS: A prospective before-and-after study was performed in a community hospital 22-bed inpatient paediatric ward. The primary outcome, significant clinical deterioration, was a composite measure of circulatory and respiratory support before transfer. Secondary outcomes were stat calls and resuscitation team calls, paediatrician workload and perceptions of frontline staff.
RESULTS: Care was evaluated for 842 patient-days before and 2350 patient-days after implementation. The median inpatient census was 13. Implementation of the Bedside PEWS was associated with fewer stat calls to paediatricians (22.6 versus 5.1 per 1000 patient-days; P<0.0001), fewer significant clinical deterioration events (2.4 versus 0.43 per 1000 patient-days; P=0.013), reduced apprehension when calling the physician and no change in paediatrician workload. DISCUSSION: Implementation of the Bedside PEWS is feasible and safe, and may improve clinical outcomes.

Entities:  

Keywords:  Early identification; Paediatrics; Transfer

Year:  2011        PMID: 22379384      PMCID: PMC3077313          DOI: 10.1093/pch/16.3.e18

Source DB:  PubMed          Journal:  Paediatr Child Health        ISSN: 1205-7088            Impact factor:   2.253


  21 in total

1.  Should paediatric intensive care be centralised? Trent versus Victoria.

Authors:  G Pearson; F Shann; P Barry; J Vyas; D Thomas; C Powell; D Field
Journal:  Lancet       Date:  1997-04-26       Impact factor: 79.321

2.  Long-term effect of introducing an early warning score on respiratory rate charting on general wards.

Authors:  Jackie McBride; Debbie Knight; Jo Piper; Gary B Smith
Journal:  Resuscitation       Date:  2005-04       Impact factor: 5.262

3.  Pediatric hospitalists: a systematic review of the literature.

Authors:  Christopher P Landrigan; Patrick H Conway; Sarah Edwards; Rajendu Srivastava
Journal:  Pediatrics       Date:  2006-05       Impact factor: 7.124

4.  Nurse-staffing levels and the quality of care in hospitals.

Authors:  Jack Needleman; Peter Buerhaus; Soeren Mattke; Maureen Stewart; Katya Zelevinsky
Journal:  N Engl J Med       Date:  2002-05-30       Impact factor: 91.245

5.  The Pediatric Early Warning System score: a severity of illness score to predict urgent medical need in hospitalized children.

Authors:  Heather Duncan; James Hutchison; Christopher S Parshuram
Journal:  J Crit Care       Date:  2006-09       Impact factor: 3.425

6.  A cross-sectional survey of levels of care and response mechanisms for evolving critical illness in hospitalized children.

Authors:  Stephanie D VandenBerg; Jamie S Hutchison; Christopher S Parshuram
Journal:  Pediatrics       Date:  2007-03-26       Impact factor: 7.124

Review 7.  Asthma severity scores for preschoolers displayed weaknesses in reliability, validity, and responsiveness.

Authors:  Catherine S Birken; Patricia C Parkin; Colin Macarthur
Journal:  J Clin Epidemiol       Date:  2004-11       Impact factor: 6.437

8.  Easing the strain on a pediatric tertiary care center: use of a redistribution system.

Authors:  Stephen B Freedman; Vidhi A Thakkar
Journal:  Arch Pediatr Adolesc Med       Date:  2007-09

9.  Development of a clinical dehydration scale for use in children between 1 and 36 months of age.

Authors:  Jeremy N Friedman; Ran D Goldman; Rajendu Srivastava; Patricia C Parkin
Journal:  J Pediatr       Date:  2004-08       Impact factor: 4.406

10.  Development and initial validation of the Bedside Paediatric Early Warning System score.

Authors:  Christopher S Parshuram; James Hutchison; Kristen Middaugh
Journal:  Crit Care       Date:  2009-08-12       Impact factor: 9.097

View more
  13 in total

1.  Pediatric Early Warning System Scores: Lessons to be Learned.

Authors:  Sam J van Sambeeck; Joris Fuijkschot; Boris W Kramer; Gijs D Vos
Journal:  J Pediatr Intensive Care       Date:  2017-05-03

2.  Machine Learning-Based Systems for the Anticipation of Adverse Events After Pediatric Cardiac Surgery.

Authors:  Patricia Garcia-Canadilla; Alba Isabel-Roquero; Esther Aurensanz-Clemente; Arnau Valls-Esteve; Francesca Aina Miguel; Daniel Ormazabal; Floren Llanos; Joan Sanchez-de-Toledo
Journal:  Front Pediatr       Date:  2022-06-27       Impact factor: 3.569

3.  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

4.  Task shifting an inpatient triage, assessment and treatment programme improves the quality of care for hospitalised Malawian children.

Authors:  Daniel Olson; Geoffrey A Preidis; Robert Milazi; Jennifer K Spinler; Norman Lufesi; Charles Mwansambo; Mina C Hosseinipour; Eric D McCollum
Journal:  Trop Med Int Health       Date:  2013-04-22       Impact factor: 2.622

5.  Effect of a Pediatric Early Warning System on All-Cause Mortality in Hospitalized Pediatric Patients: The EPOCH Randomized Clinical Trial.

Authors:  Christopher S Parshuram; Karen Dryden-Palmer; Catherine Farrell; Ronald Gottesman; Martin Gray; James S Hutchison; Mark Helfaer; Elizabeth A Hunt; Ari R Joffe; Jacques Lacroix; Michael Alice Moga; Vinay Nadkarni; Nelly Ninis; Patricia C Parkin; David Wensley; Andrew R Willan; George A Tomlinson
Journal:  JAMA       Date:  2018-03-13       Impact factor: 56.272

6.  Development of a severity of illness scoring system (inpatient triage, assessment and treatment) for resource-constrained hospitals in developing countries.

Authors:  Dan Olson; Nicole L Davis; Robert Milazi; Norman Lufesi; William C Miller; Geoffrey A Preidis; Mina C Hosseinipour; Eric D McCollum
Journal:  Trop Med Int Health       Date:  2013-07       Impact factor: 2.622

7.  Evaluating processes of care and outcomes of children in hospital (EPOCH): study protocol for a randomized controlled trial.

Authors:  Christopher S Parshuram; Karen Dryden-Palmer; Catherine Farrell; Ronald Gottesman; Martin Gray; James S Hutchison; Mark Helfaer; Elizabeth Hunt; Ari Joffe; Jacques Lacroix; Vinay Nadkarni; Patricia Parkin; David Wensley; Andrew R Willan
Journal:  Trials       Date:  2015-06-02       Impact factor: 2.279

Review 8.  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

9.  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

10.  Dynamic Electronic Tracking and Escalation to reduce Critical care Transfers (DETECT): the protocol for a stepped wedge mixed method study to explore the clinical effectiveness, clinical utility and cost-effectiveness of an electronic physiological surveillance system for use in children.

Authors:  Gerri Sefton; Bernie Carter; Steven Lane; Matthew Peak; Ceu Mateus; Jen Preston; Fulya Mehta; Bruce Hollingsworth; Roger Killen; Enitan D Carrol
Journal:  BMC Pediatr       Date:  2019-10-17       Impact factor: 2.125

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.