Expert Guided Training Versus Self Learning with Virtual Patients
Comparing Expert Guided Training and Self -Directed Learning with Virtual Patients in Emergency Management Training : a Randomized Controlled Trial
1 other identifier
interventional
93
1 country
1
Brief Summary
Virtual patients have increasingly been used in the training of healthcare professionals to enhance critical decision-making skills in emergency patient management education. The aim of this study is to investigate the contribution of the virtual patient simulation used in the education of paramedic students by comparing the effectiveness of self-directed learning with expert-guided learning. Additionally, it is believed that the study will be beneficial for educators responsible for program design who are interested in integrating the case-based learning method with virtual patients into their curriculum.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Aug 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 15, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2024
CompletedFirst Submitted
Initial submission to the registry
November 4, 2024
CompletedFirst Posted
Study publicly available on registry
November 5, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
November 15, 2024
CompletedNovember 5, 2024
August 1, 2024
2 months
November 4, 2024
November 4, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Virtual patient exam scores of the participants
All the participants will attend to the virtual patient exam and the scores will be compared between groups
1 week
Study Arms (2)
Expert Guided Group
ACTIVE COMPARATORThe expert-guided group will participate in virtual patient sessions consisting of 12 patient scenarios under the guidance of an expert. These patient scenarios are selected clinical cases designed to enhance critical decision-making skills in emergency patient management. Throughout the training, students will receive verbal feedback from experts on their performance
Self Learning Group
EXPERIMENTALThe self-learning group will also participate in training with the same 12 patient scenarios as the other group, but instead of expert guidance, the students in this group will engage with the virtual patient scenarios independently and manage the process without instructor guidance. In this group, feedback on students' performance will be provided in written form by the computer-based virtual patient simulator.
Interventions
The effectiveness of two different training methods with virtual patients for improving the critical decision-making skills of paramedic students will be compared between two groups: one receiving expert-guided training and the other following a self-directed approach
Eligibility Criteria
You may qualify if:
- Volunteer 4th-semester paramedic students from the Department of Vocational Health Sciences at the University
You may not qualify if:
- Previous experience with the same clinical scenarios
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Acibadem Mehmet Ali Aydinlar University CASE Simulation Center
Istanbul, Turkey (Türkiye)
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assist Prof.
Study Record Dates
First Submitted
November 4, 2024
First Posted
November 5, 2024
Study Start
August 15, 2024
Primary Completion
September 30, 2024
Study Completion
November 15, 2024
Last Updated
November 5, 2024
Record last verified: 2024-08
Data Sharing
- IPD Sharing
- Will not share