Improving Team Training During Mock Code Blue Simulations

February 24, 2021 updated by: Catharine Walsh, The Hospital for Sick Children

Improving the Quality of Team Training and Performance During Interprofessional in Situ Mock Code Blue Simulations: A Randomized Controlled Mixed-methods Study

Communication and teamwork failures are the leading causes of errors in healthcare settings. In situ mock code simulations are a potential means to train team-based skills using simulation within real clinical care environments where errors occur; however, debriefing discussions often focus on gaps in learners' clinical skills as opposed to team functioning. This study aims to determine whether learners who are pre-trained using just-in-time simulation regarding CPR quality and medication administration will exhibit improved performance with respect to these skills during in situ mock codes as well as improved team functioning.

Study Overview

Status

Unknown

Study Type

Interventional

Enrollment (Anticipated)

264

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M5G 1X8
        • Hospital for Sick Children (Sickkids)

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Health professionals, including nurses, pediatric residents, physicians and/or respiratory therapists scheduled to participate in interprofessional, team-based in situ mock codes.

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Just-in-time training (JITT) group
Receive a 20min just-in-time simulation-based teaching session targeting: (1) CPR quality and (2) medication administration within 3 hours of the scheduled in situ simulation.
The JITT training is a 20 minute simulation-based teaching session targeting: (1) CPR quality and (2) medication administration.
No Intervention: No additional training (control) group
Control group who receives no additional training.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Team-based non-technical skills
Time Frame: Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Measured using the Team Emergency Assessment Measure (TEAM) scale
Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
CPR quality
Time Frame: Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Measured using the Zoll R series defibrillator (compressions per minute (cpm), depth in millimeters (mm), and compression fraction)
Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Medication errors
Time Frame: Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Focus of debriefing
Time Frame: Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Qualitative analysis of audio-recordings
Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Cognitive load
Time Frame: Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation
Measured using the Paas scale, Cognitive Load Component Questionnaire, and NASA-TLX cogntiive load questionnaires
Time Frame: All data will be collected during the one hour when participants engage in the in situ mock code simulation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Catharine M Walsh, MD, PhD, The Hospital for Sick Children

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 2015

Primary Completion (Actual)

September 1, 2016

Study Completion (Anticipated)

December 1, 2021

Study Registration Dates

First Submitted

August 18, 2015

First Submitted That Met QC Criteria

August 19, 2015

First Posted (Estimate)

August 20, 2015

Study Record Updates

Last Update Posted (Actual)

February 25, 2021

Last Update Submitted That Met QC Criteria

February 24, 2021

Last Verified

February 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 1000048092

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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