Ignite Creation Date:
2025-12-25 @ 2:07 AM
Ignite Modification Date:
2025-12-26 @ 12:33 AM
Study NCT ID:
NCT04846660
Status:
COMPLETED
Last Update Posted:
2021-08-20
First Post:
2021-04-13
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Impact of Production Pressure in the Block Room on Patient Safety
Sponsor:
Ciusss de L'Est de l'Île de Montréal
Organization:
Study Overview
Official Title:
Examining the Impact of Production Pressure in the Regional Anesthesia Block Room on Patient Safety, a Randomized Single Blind Study in a High Fidelity Simulation Environment
Status:
COMPLETED
Status Verified Date:
2021-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This randomized, single blinded simulation based study investigates the impact that production pressure can have on the safety of patients undergoing regional anesthesia. We created a high fidelity scenario where anesthesiologists and trainees were to perform a single shot infraclavicular ultrasound guided block. Participants were randomly assigned to the intervention or control group. Participants assigned to the intervention group were exposed to various production pressure generating interventions. The goal of this study was to look at the impact of production pressure on patient safety by scoring anesthesiologists' and trainees' performance and examining the differences between the two groups.
Detailed Description:
Sample size:
To our knowledge, no studies were performed to evaluate the impact of production pressure on anesthesiologists nor on how to emulate production pressure in a simulated environment. Although it is known that production pressure affects negatively healthcare workers' performance, it remains difficult to predict its impact on a scoring system such as the RAPS assessment tool. Therefore, we used a convenience sample based on the number of residents and staffs anesthesiologists who agreed to participate. Using the t value and the degrees-of-freedom of the unpaired t-test, the investigators calculated the effect size (r) to characterize the magnitude of the effect and evaluate if the sample size is enough to answer the research hypothesis. An r value of around 0.2 was considered a "weak" effect, 0.5 "medium", and 0.8 "strong". We intend to recruit between 10 to 20 participants in each group.
Scenario:
Participants were asked to obtain consent and perform a single shot infraclavicular ultrasound guided block on a 50 year old woman with mild COPD. The simulation took place in situ in a regional anesthesia block room. Upon entering the room, the anesthesiology evaluation was already completed. A CAE infraclavicular block simulator was installed on a simulated patient. A simulated anesthesiology nurse was also present to assist only. All preparation steps and safety measures had to be initiated by the participant. Participants in the intervention group were exposed to 4 standardized pre-recorded audio interventions, encouraging them to proceed faster. The choice of these interventions was based on articles and surveys detailing the common sources of production pressure for the anesthesiologist.
Data collection:
Performances were filmed in order to be reviewed by three regional anesthesia experts. Participants were then asked to fulfill a questionnaire in another room. This form included a validated task load index grid (NASA) to quantify the amount of stress experienced, demographic data and a realism score.
To our knowledge, no studies were performed to evaluate the impact of production pressure on anesthesiologists nor on how to emulate production pressure in a simulated environment. Although it is known that production pressure affects negatively healthcare workers' performance, it remains difficult to predict its impact on a scoring system such as the RAPS assessment tool. Therefore, we used a convenience sample based on the number of residents and staffs anesthesiologists who agreed to participate. Using the t value and the degrees-of-freedom of the unpaired t-test, the investigators calculated the effect size (r) to characterize the magnitude of the effect and evaluate if the sample size is enough to answer the research hypothesis. An r value of around 0.2 was considered a "weak" effect, 0.5 "medium", and 0.8 "strong". We intend to recruit between 10 to 20 participants in each group.
Scenario:
Participants were asked to obtain consent and perform a single shot infraclavicular ultrasound guided block on a 50 year old woman with mild COPD. The simulation took place in situ in a regional anesthesia block room. Upon entering the room, the anesthesiology evaluation was already completed. A CAE infraclavicular block simulator was installed on a simulated patient. A simulated anesthesiology nurse was also present to assist only. All preparation steps and safety measures had to be initiated by the participant. Participants in the intervention group were exposed to 4 standardized pre-recorded audio interventions, encouraging them to proceed faster. The choice of these interventions was based on articles and surveys detailing the common sources of production pressure for the anesthesiologist.
Data collection:
Performances were filmed in order to be reviewed by three regional anesthesia experts. Participants were then asked to fulfill a questionnaire in another room. This form included a validated task load index grid (NASA) to quantify the amount of stress experienced, demographic data and a realism score.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: