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OpenTrials
Completed

NCT Number: NCT02683447

Ageing and Acute Care Physicians' Performance

The proportion of older acute care physicians (ACPs) has been increasing. Ageing is associated with physiological changes and research investigating how such age-related physiological changes affect clinical performance is lacking. Specifically, Crisis Resource Management (CRM) consists of essential clinical skills in acute care specialties which when absent, can significantly impact patient safety. As such, the goals of this study are to investigate whether ageing has a correlation with baseline CRM skills of ACPs and whether ageing influences learning from high fidelity simulation.

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Key information

Conditions

Sex eligibility

All sexes

Study type

Observational

Primary location

University of Ottawa, Ottawa, Ontario, Canada

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About this study

The proportion of older acute care physicians (ACP), emergency, critical care & anesthesia, has been steadily increasing. Ageing is associated with physiological changes, which in turn can influence a physician's clinical abilities and decision-making. The litigation and physician disciplinary data suggests that incidents involving all physicians are likely to occur later in practice, with degree of injury identified in the claims being of greater severity. However research, investigating how age-related physiological changes affect clinical performance and patient safety, is lacking.

CRM skills are essential skills within acute care specialties, and are vital for patient safety. CRM encompasses technical skills, as well as a rapid and organized approach to non-technical, cognitive skills such as decision-making, task management, situational awareness and team management. High-fidelity full body mannequin simulation-based education is effective for learning CRM, including transfer of skills from the simulated setting to the clinical setting and improving patient outcome. However, there is a gap in the literature on whether physicians' age influences baseline CRM performance and also learning from simulation-based education.

Although the effectiveness of high-fidelity simulation-based education has been studied extensively in junior learner populations (students, residents, fellows), there are a limited number of studies investigating its effectiveness in teaching CRM in the ageing physician population. In fact, a recent systematic review looking at the role of simulation in continuing medical education (CME) in ACPs supported that there is limited evidence supporting improved learning. Despite not knowing whether simulation is the correct tool in an ageing population, it is being recommended as a training, regulation and assessment tool for practicing physicians.

Objectives:

The goals of this study are to:

  • Investigate whether ageing has a correlation with baseline CRM skills of ACPs using simulated crisis scenarios and
  • Assess whether ageing influences learning from high fidelity simulation.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Emergency physicians
  • Critical care physicians
  • Anesthesiologists
  • minimum 5 years of practice post-residency

Exclusion criteria

  • Post-call day of participation

Treatment and study plan

CRM Simulation

Other

Each participant will manage a PEA arrest scenario (pre-test) and then be debriefed on their CRM skills by a trained facilitator for 20 minutes. They will then manage another crisis scenario (PEA arrest with a different inciting event) as an immediate post-test. Three months afterwards participants will return to manage a third PEA arrest scenario, which will serve as a retention post-test.

Primary outcomes

  1. CRM Performance During First Sim Scenario Assessed by Ottawa Global Rating Scale (GRS)

    Time frame: After managing first simulation scenario - Day 1

    Ottawa GRS score correlated with chronological age. The Ottawa GRS assesses non-technical CRM skills on a 7-point scale (minimum 1, maximum 7), with higher scores indicating better performance.

  2. CRM Performance During First Sim Scenario Assessed by ACLS Checklist

    Time frame: After managing first simulation scenario - Day 1

    ACLS (Advanced Cardiac Life Support) score will be correlated with chronological age. Items on the checklist were separated into two components: 1) the ACLS correct score (minimum score 0, maximum score 30), where higher scores indicate better performance, and 2) the ACLS risk score (minimum score 0, maximum score 17) where higher scores indicate worse performance.

Secondary outcomes

  1. Learning From High-fidelity Simulation Education Assessed by Ottawa Global Rating Scale

    Time frame: After managing second simulation scenario - Day 1

    Ottawa GRS score will be compared to score in first scenario to look for improvement. The Ottawa GRS assesses non-technical CRM skills on a 7-point scale (minimum 1, maximum 7), with higher scores indicating better performance. The mean difference in GRS score between pre-test (scenario 1) and immediate post-test (scenario 2) is reported.

  2. Learning From High-fidelity Simulation Education Assessed by ACLS Checklist

    Time frame: After managing second simulation scenario - Day 1

    ACLS (Advanced Cardiac Life Support) score will be compared to score in first scenario to look for improvement. Items on the checklist were separated into two components: 1) the ACLS correct score (minimum score 0, maximum score 30), where higher scores indicate better performance, and 2) the ACLS risk score (minimum score 0, maximum score 17) where higher scores indicate worse performance. The mean difference in ACLS score between pre-test (scenario 1) and immediate post-test (scenario 2) is reported.

Other outcomes

  1. Retention of Learning From Simulation as Assessed by Ottawa Global Rating Scale

    Time frame: 3 months after completing first two scenarios - Day 90

    Ottawa GRS score will be compared to score in second scenario on Day 1 to look for improvement. The Ottawa GRS assesses non-technical CRM skills on a 7-point scale (minimum 1, maximum 7), with higher scores indicating better performance. The mean difference in GRS score between immediate post-test (scenario 2) and retention post-test (scenario 3) is reported.

  2. Retention of Learning From Simulation as Assessed by ACLS Checklist

    Time frame: 3 months after completing first two scenarios - Day 90

    ACLS (Advanced Cardiac Life Support) score will be compared to score in second scenario on Day 1 to look for improvement. Items on the checklist were separated into two components: 1) the ACLS correct score (minimum score 0, maximum score 30), where higher scores indicate better performance, and 2) the ACLS risk score (minimum score 0, maximum score 17) where higher scores indicate worse performance. The mean difference in ACLS score between immediate post-test (scenario 2) and retention post-test (scenario 3) is reported.

Sponsors and collaborators

Lead sponsor

Sunnybrook Health Sciences Centre

Other

Collaborators

  • University of Ottawa
  • University of Toronto

Registry information

Official study title

Impact of Acute Care Physician's Age on Crisis Management Performance and Learning After Simulation-based Education

Important dates

Study start
2017
Primary completion
2020
Study completion
2020
First posted
Feb 17, 2016
Registry last updated
Jan 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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