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The objective is to study an association between the resilience developed by anesthesia professionals and the level of acute stress during a simulation session.
This trial will take place at the Grenoble Alpes University Hospital. Volunteer anaesthetists, nurse anaesthetists, professionals or students will perform a simulation scenario. This scenario generates a high level of stress and focuses on medication errors, which is a good educational tool for the participants.
The simulation is performed in an available operating room with a dedicated anesthesia cart. In this environment, 17 error opportunities were created, i.e., factors that could contribute to the occurrence of a medication error. A person playing the role of the anesthesiologist will give instructions, leave the room, and return to interrupt the participant several times, which will contribute to the intensity of the stressor. The simulation will proceed as follows:
Briefing:
Welcome and explanation of the session. Collection of age, gender, number of years in anesthesia, number of previous simulation sessions, participation or not in stress management training. Presentation of the context and the anesthesiologist, then the participants evaluate their stress using the VAS (visual analog scale) Stress, which triggers the beginning of the scenario. Introduction of the setting and the anesthesiologist, then participants rate their stress using the VAS Stress scale, triggering the start of the scenario.
Scenario:
10 minutes in length. After the briefing, the anesthesiologist announces the imminent arrival of a patient with a suspected abdominal aortic aneurysm. The participant must quickly prepare a tray of medications. The scenario ends just prior to the patient's arrival, with the anesthesiologist presenting the stress VAS again for further evaluation.
Debriefing:
The participant completes a questionnaire about opportunities for detected errors, followed by a 15-minute debriefing after the simulation session.
For each participant, data regarding stress VAS, CD-RISC, PSS-10 and number of errors detected will be compared.
The primary objective is to analyze an association between resilience developed by anesthesia professionals and acute stress level.
The secondary objectives are to study the association between the resilience developed by the anesthesia professionals and the level of acute stress present immediately at the end of the simulation.
immediately at the end of the simulation. Measure the association between resilience (CDRISC 10) and performance (number of potential errors detected). Compare resilience and acute stress between different statuses (anesthesiologist, intern, nurse anesthetist, student nurse anesthetist).
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| VAS reported Stress | Behavioral | VAS reported Stress measurement during simulation |
| Measure | Description | Time Frame |
|---|---|---|
| Resilience | Measurement of resilience by Connor-Davidson Resilience Scale 10 (CD RISC 10 from 0 to 40) in participants. A high score indicates better resilience. | 15 Days after simulation |
| Self-reported stress | Stress level self reported by participants on visual analogical scale (VAS from 0 to 100); One end of the scale represents the maximum conceivable symptom strength (i. e., 100%), the other end no symptoms whatsoever (i. e., 0%). | just Before the scenario (at 0 minute ) |
| Measure | Description | Time Frame |
|---|---|---|
| Performance | Number of potential errors detected by participants on a post-simulation questionnaire with 23 questions. 18 potential errors are present on the 23 questions. Each correct answer counts as one point and each error removes one point. The maximum score is 18. (performance 0-18); a higher score indicates better performance. | just after the end of scenario (at 10 minute) |
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Inclusion Criteria:
Exclusion Criteria:
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physician anesthesiologist or anesthesia intern or nurse anesthetist or student nurse anesthetist
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| Name | Affiliation | Role |
|---|---|---|
| Yoann Zafiriou | University Hospital, Grenoble | Principal Investigator |
| Julien Picard | University Hospital, Grenoble | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Grenoble | Grenoble | 38043 | France |
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| ID | Term |
|---|---|
| D000073397 | Occupational Stress |
| ID | Term |
|---|---|
| D009784 | Occupational Diseases |
| D013315 | Stress, Psychological |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| resilience of anesthetists | Average measure of physician anesthesiologists' resilience by the Connor-Davidson Resilience Scale 10 (CD RISC 10 from 0 to 40). Higher scores indicate greater resilience. | 15 Days after simulation |
| resilience of Resident in anaesthesia | Average measure of Resident in anaesthesia resilience by the Connor-Davidson Resilience Scale 10 (CD RISC 10 from 0 to 40). Higher scores indicate greater resilience. | 15 Days after simulation |
| resilience of nurse anesthetist | Average measure of nurse anesthetist resilience by the Connor-Davidson Resilience Scale 10 (CD RISC 10 from 0 to 40). Higher scores indicate greater resilience. | 15 Days after simulation |
| resilience of the student nurse anesthetist | Average measure of the student nurse anesthetist resilience by the Connor-Davidson Resilience Scale 10 (CD RISC 10 from 0 to 40). Higher scores indicate greater resilience. | 15 Days after simulation |
| Self-reported stress | Stress level self reported by participants on visual analogical scale (VAS from 0 to 100); One end of the scale represents the maximum conceivable symptom strength (i. e., 100%), the other end no symptoms whatsoever (i. e., 0%). | just after the end of scenario (at 10 minute ) |