A prospective study of surgeons’ workloads and associated factors in real-world practice

Abstract

Abstract New technologies such as laparoscopic and robotic surgery are spreading, and there is a demand for physicians to keep up with novel methods. In contrast to the recent focus on healthcare professional burnout, the mental and physical costs during surgery are not well-understood. We aimed to quantify surgeons’ workloads in daily urological surgical practice and clarify potential background factors associated with such workloads. Urologists in Hokkaido, Japan, were invited to this study. Between December 2020 and December 2021, participants repeatedly reported workloads, which were assessed using the National Aeronautics and Space Administration-Task Load Index (NASA-TLX), after each surgery in conjunction with participants’ names, patients’ backgrounds, their roles (independent operator, operator under supervision, instructor, and 1st or 2nd assistant), and surgical outcomes, via SurveyMonkey®. Because of the heterogeneity among individuals, a linear mixed-effects model was utilized to analyze factors associated with NASA-TLX, calculating the parameter estimates (PE) of regression coefficients for each factor and their 95% confidence interval (CI). Sixty-five urologists (5 women) joined the study, and 2169 data were collected within 7 days after surgeries. A linear mixed-effects model revealed that female surgeons (PE + 15.56, 95% CI 2.36–28.77), urgent/emergency surgery (PE + 6.65, 95% CI 4.59–8.70), intraoperative complications (PE + 9.26, 95% CI 6.76–11.76), and near-miss incidents (PE + 3.81, 95% CI 2.27–5.36) were associated with higher workloads. Regarding the surgeons’ role, operator under supervision (PE + 12.46, 95% CI 9.86–15.06) showed the highest workloads. Surgeons’ workloads decreased as the number of previous cases of the same procedure increased. Surgeons’ workloads were associated with various factors. Given that the highest workloads were for operators under supervision, instructors should be aware of trainees’ high workloads and devise appropriate instructional interventions.