Sleepy Surgeons: A Multi-Method Assessment of Sleep Deprivation and Performance in Surgery.

ABSTRACT Background Minimum rest is mandated in high stake industries such as aviation. The current system of healthcare provision permits on-call surgeons to work in sleep deprived states when performing procedures. Fatigue has been demonstrated to negatively affect performance. This study aimed to explore measurements of sleep deprivation and their impact on simulated performance. Methods This was a single site study conducted between September 2019 and February 2020. Surgical trainee and consultants were conveniently sampled from a single site. All testing was done between 7 AM and 9 AM. Participants completed electroencephalogram testing using a modified Multiple Sleep Latency Test testing for objective sleep measurement, the Pittsburgh Sleep Quality Index, Chalder Fatigue Scale and Epworth Sleepiness Scale for subjective sleep measurement. The Psychomotor Vigilance Task and the SIMENDO simulated tasks were used for standardized performance assessment. Results Surgeons entered sleep in 6 min, on average pre-call. This significantly decreased to an average of 164 s post-call (P = 0.016). Pittsburgh Sleep Quality Index scoring was 5, indicating poor baseline sleep quality. There was higher self-reported fatigue and sleepiness in post-call states. Performance decrements were noted in cognitive performance reaction time and aspects of technical instrument proficiency. Conclusions Surgeons are objectively sleep deprived pre-call according to internationally recognized guidelines. This sleep deprivation increases significantly in post-call states. Tasks with higher cognitive demands showed greater levels of diminished performance compared to those with lower cognitive demands. Current models of provision of surgical on-call are not conducive to optimizing sleep in surgeons. Prioritization of workload in post-call states, focusing on preserving individuals cognitive resources and utilizing lower cognitively demanding aspects of work is likely to have positive impacts on performance outcomes.