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An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

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Does an aptitude for surgery exist and can we predict it? An experimental study.

Zino Ruchay¹, Julian Pape¹, Julia-Sophie Cordt¹

¹Clinic for Gynecology and Obstetrics.

International Journal of Surgery (London, England)

|May 10, 2024

Summary

Identifying key traits can predict surgical success. Motivation and personality are crucial for students, while psychomotor skills are vital for physicians, enabling early selection for improved surgical training and performance.

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Area of Science:

Surgical Education
Medical Training
Human Factors in Surgery

Background:

Optimizing surgical quality, safety, and effectiveness necessitates selecting surgeons with high performance potential.
Understanding predictive factors for surgical performance is crucial at various training stages.

Purpose of the Study:

To identify basic skills and traits predicting surgical performance.
To determine driving factors in different surgical training phases.

Main Methods:

A randomized crossover trial involving 87 physicians and 239 medical students from January to December 2021.
Participants underwent neuropsychological testing and both conventional and robot-assisted laparoscopic surgical training.
Structural equation modeling was used to analyze the latent factor structure of psychomotor skills, personality, and motivation.

Main Results:

Training performance was significantly explained by the interaction of psychomotor skills, personality, and motivation (8.2% variance in students, 23.8% in physicians).
In students, motivation (8.4%) and personality (4.5%) were the strongest predictors, with psychomotor skills contributing 1.1%.
In physicians, psychomotor skills (27.4%) were the primary predictor, followed by personality (10.5%) and motivation (2.3%).

Conclusions:

Surgical performance is influenced by general individual traits unrelated to surgery itself.
Early selection of surgeons based on predictive traits is feasible and potentially necessary for future healthcare demands.