Sleep deprivation impacts performance of shift workers in health care. Anesthesiologists are a population at risk that endures stressful situations and changing working hours. The decreased performance could be the cause for undesirable events. Power-napping is known to be an efficient technique to mitigate the detrimental effects of sleep deprivation and is a feasible measure to implement in critical care units. Still there are few insights that measure the clinical relevance in the field. With the high-fidelity simulations this study is able to measure clinical performance and test for those effects. Therefore we propose a prospective, monocentric study to evaluate a power-napping protocol (less than 30min)
Residents in anesthesiology will be recruited on voluntary basis. They will pass the high fidelity simulation twice, once as a baseline measure under normal conditions after a typical night at home and once sleep deprived after a night shift. BASELINE Participants will wear actigraphy bracelets to define their sleep pattern for 2 weeks, Then they will spent a normal night at home before coming to the performance center in the afternoon (13h to18h). There they will respond to questions about stress and sleep, will be equipped with smart shirts (HEXOSKIN) to measure their level of stress during the performance, and then undertake a crisis simulation. Afterwards they pass some standardized cognitive tests. TRAINING The whole year group of residents will be trained to understand sleep management and learn power napping. After the workshop they will individually be trained during 2 weeks including some follow up calls. INTERVENTION The participants carry again actigraphy bracelets. Then they work a night shift in their service where they usually sleep less than four hours. The morning after the shift participants are free to spend how the like while sleep is being controlled with actigraphy bracelets. In the afternoon (13 to 18h) they return for the second time to the performance center. They are randomly assigned to a napping or non napping group and equipped with ambulatory ECG (Hexoskin) as well es ambulatory EEG (Somfit). After the intervention period (nap or leisure time) they proceed with the same performance measures as at baseline including a simulation crisis and computerized cognitive tests.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
44
POWERNAP of max 30min while participants ly down comfortably
Claude Bernard University
Lyon, France
Score of technical clinical performance via rating grids
Technical clinical performance according to a standardizes grid (Score from 0 to 100) for each critical care scenario evaluated by experts based on the video. Higher scores indicate better performance
Time frame: 2 days
Score of Non-Technical clinical performance via Ottawa Crisis Resource Management Scale
Non-technical clinical performance rated by experts based on the video from 6 to 42 of the Ottawa Crisis Resource Management Scale. Higher scores indicate better performance
Time frame: 2 days
Heart Rate as physiological stress measure
Objective stress level during performance measured by duration of heart rate tachycardia (\> 100 bpm) measured with ambulatory ECG (Hexoskin)
Time frame: 2 days
Visual analogue scale for the evaluation of psychological stress
Subjective stress level during performance measured with visual analogue scales (VAS) on 100mm from zero intensity to maximal intensity. High stress levels are worse.
Time frame: 2 days
Reaction time in Alertness task
Computerized alertness test named SART (Sustained Attention to Response Task) programmed based on psytoolkit, 150 trials in test phase. Faster speed (low RT) for correct responses indicates a better performance.
Time frame: 2 days
Sleepiness Score
Karolinska Sleepiness Scale, Score between 1(extremely alert) to 9 (very sleepy, great effort to keep awake, fighting sleep)
Time frame: 2 days
Pain Empathy Accuracy
Capacity to distinguish painful and non painful faces according to a computerized pre-validated pain empathy test. Accuracy rates for hits and false alarms will be computed in percent: ((hits + correct rejections) / total responses). HIgher percentages indicate better performance.
Time frame: 2 days
Pain Empathy D prime
Capacity to distinguish painful and non painful faces according to a computerized pre-validated pain empathy test. Also d prime as sensitivity score will provide a score on how well participants were able to distinguish the presence of the signal (pain) from the absence (non pain). The higher d prime the better (d' = z(H) - z(F))
Time frame: 2 days
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