Predictors of surgeons' efficiency in the operating rooms

Area of Science:

• Healthcare Management
• Health Economics
• Surgical Outcomes Research

Background:

• The Japanese healthcare system faces sustainability challenges due to significant fiscal debt.
• Improving healthcare efficiency is a key strategy to address financial pressures.
• Understanding factors influencing surgeon efficiency is crucial for optimizing resource allocation.

Purpose of the Study:

• To identify predictors of surgeon efficiency scores within the Japanese healthcare context.
• To analyze the impact of personal characteristics versus systemic factors on surgical efficiency.

Main Methods:

• Utilized data from 8722 surgical cases across 134 surgeons at Teikyo University Hospital (2013-2015).
• Calculated surgeon efficiency scores using the output-oriented Charnes-Cooper-Rhodes data envelopment analysis model.
• Employed a random-effects Tobit model for multiple regression analysis of panel data.

Main Results:

• Surgical specialty and the surgical fee schedule were statistically significant predictors of surgeon efficiency.
• Surgeon experience showed a positive trend but did not reach statistical significance (p=0.062).
• Other factors including medical school, surgical volume, gender, and academic rank were not significant predictors.

Conclusions:

• The study indicates that the surgical reimbursement system is a more significant driver of surgeon efficiency than individual surgeon characteristics.
• Policy interventions should focus on optimizing the surgical fee schedule and considering specialty-specific factors to enhance healthcare efficiency.
• Findings suggest a need to re-evaluate performance metrics and incentive structures in surgical practice.