Implementation of Bedside Pediatric Early Warning Systems (PEWS)

NCT ID: NCT00961727

Last Updated: 2015-06-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2008-06-30

Study Completion Date

2008-12-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Clinically Deteriorating Paediatric Patients

Study Design

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Observational Model Type

CASE_CROSSOVER

Study Time Perspective

PROSPECTIVE

Study Groups

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PEWS System of Care

Bedside Paediatric Early Warning System (Bedside PEWS)

Intervention Type OTHER

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.

Interventions

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Bedside Paediatric Early Warning System (Bedside PEWS)

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* All patients admitted to the paediatric inpatient unit at Credit Valley Hospital from June 2008-December 2008

Exclusion Criteria

* Patients over 18 years of age
Minimum Eligible Age

1 Day

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ontario Ministry of Health and Long Term Care

OTHER_GOV

Sponsor Role collaborator

The Hospital for Sick Children

OTHER

Sponsor Role lead

Responsible Party

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Christopher Parshuram

Staff Physician

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Christopher Parshuram, MD

Role: PRINCIPAL_INVESTIGATOR

The Hospital for Sick Children

Locations

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The Hospital for Sick Children

Toronto, Ontario, Canada

Site Status

Countries

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Canada

Other Identifiers

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1000009778

Identifier Type: -

Identifier Source: org_study_id

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