Pilot Randomised Controlled Trial of Virtual Patient Simulation Versus In-situ Simulation for Improving Performance in Trauma and Sepsis Resuscitation in Junior Clinicians in the Emergency Department
Pilot Randomised Controlled Trial of Virtual Patient Simulation Versus In-situ Simulation for Improving Performance in Trauma and Sepsis Resuscitation in Junior Clinicians in the Emergency Department
The investigators seek to examine the impact of virtual patient simulation on junior clinicians' resuscitation skills in an academic emergency department.
Exposure to real life resuscitation cases is opportunistic, with variation in case mix across different junior clinicians. Junior clinicians are closely supervised during resuscitations, with limited independence to make decisions, for patient safety.
High fidelity simulation, such as in-situ mock codes with a high fidelity manikin, is resource intensive. Constraints in facilitator and learner time and manpower reduce the feasibility of holding large numbers of simulations for large numbers of learners, leading to limited breadth of case mix exposure in simulation cases.
Virtual patient simulation may allow greater and more uniform breadth of exposure and allow automated feedback and rapid cycle deliberate practiceacross a wide range of cases, with reduced resource intensiveness, and prepare them to better utilise limited opportunities for resuscitation during real life or high fidelity simulation.
Virtual simulators have been found to be useful for improving skills rather than knowledge or attitudes in health professions education. Such skills include communication, radiograph interpretation, dermatological diagnosis, and cardiac arrest procedures.
What is not known is:
The investigators' hypothesis is that in junior clinicians in the emergency department who have received didactic materials in trauma and sepsis resuscitation, proceeding next to learning by virtual patient resuscitation simulation is associated with improved scores in resuscitation performance for trauma and sepsis, as measured by checklists of required actions during observed in-situ simulation with a high-fidelity manikin, compared to proceeding next to learning by team-based in-situ simulation with a high fidelity manikin. This pilot study aims to determine the feasibility of a randomised controlled trial to test the above hypothesis.
Sample size: For a pilot study, a sample size of at 24-50 participants is advisable to be informative regarding population characteristics such as expected means and standard deviation, to facilitate future study, where sample size calculation will target a small standardised effect size of 0.2, where standardised effect size would be the difference in means divided by standard deviation. About 50 junior clinicians are anticipated to rotate through NUH emergency department for at least 3 months in 2022.
Randomisation:
- After informed consent and recruitment, participants will be randomised to virtual simulation versus in-situ simulation groups, through the use of opaque sealed envelopes. The randomisation sequence will be generated by one investigator (A), with block randomisation in varying block sizes, while another investigator (B) will open envelopes to allocate learners to their groups, to maintain allocation concealment.
Interventions:
Outcome assessment:
Other data collection:
Data analysis:
- Descriptive statistics of the following will be tabulated:
Analysis for associations:
Primary outcome: Association between exposure to virtual patient simulation (categorical variable) and marks obtained during observed in-situ resuscitation using a high fidelity manikin (likely to be a continuous variable with normal distribution, and this pilot study would help to determine if that is true), as measured by number of correct actions completed on a checklist derived from local expert consensus, rated by two independent observers (Investigators E and F) with statistical testing using a 2-tailed student t-test.
--> Interobserver agreement will be measured using intra class correlation
The investigators acknowledge that as a pilot, the analyses are unlikely to be adequately powered. Nonetheless, understanding the distribution of marks in each group, including mean/median/measures of variance, would be useful for planning further study.
Inclusion Criteria:
Exclusion Criteria: