Implementation of Bedside Pediatric Early Warning Systems (PEWS)

2014-08-27 03:19:56 | BioPortfolio


Timely identification, referral and treatment of children who are clinically deteriorating while admitted to hospital wards is a fundamental element of inpatient care. In community hospitals, advantages including greater continuity of inpatient-outpatient care, improved geographic access for families, and lower healthcare system costs, may be undermined if children with evolving critical illness are not recognized and transferred in a timely manner. 

The Bedside Paediatric Early Warning System (Bedside PEWS) is a system of care designed to augment existing expertise and to provide a safety net for children who are clinically deteriorating while admitted to hospital wards. The Bedside PEWS is comprised of 4 components; [1] an expert derived, multi-centre validated severity of illness score, [2] an inter-professionally developed documentation record into which the severity of illness score is embedded, [3] a series of score-matched care recommendations based on the opinions of over 280 paediatric health care professionals, and [4] an educator-developed education-implementation program.


We will be performing a prospective observational study of care outcomes, physician workload and frontline staff perceptions before and after the implementation of Bedside PEWS in a community paediatric hospital. We plan to evaluate the outcomes of patients who were admitted to the 22-bed paediatric inpatient unit and were less than 18 years of age at hospital admission, and the healthcare professionals caring for them during their inpatient stay.

Study Design

Observational Model: Case-Crossover, Time Perspective: Prospective


Clinically Deteriorating Paediatric Patients


Bedside Paediatric Early Warning System (Bedside PEWS)


The Hospital for Sick Children




The Hospital for Sick Children

Results (where available)

View Results


Published on BioPortfolio: 2014-08-27T03:19:56-0400

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Medical and Biotech [MESH] Definitions

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