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Personalized decision-making for acute cholecystitis: Understanding surgeon judgment.
Amanda C Filiberto1, Philip A Efron1, Amanda Frantz2
1Department of Surgery, University of Florida Health, Gainesville, FL, United States.
Surgeons’ treatment choices for severe acute cholecystitis often conflict with their risk assessments. Personalized decision support could improve alignment between perceived benefits and actual surgical recommendations.
Area of Science:
- Gastroenterology
- Surgical Decision-Making
- Health Informatics
Background:
- Limited high-level evidence exists for managing severe acute cholecystitis.
- Treatment decisions rely heavily on surgeon judgment, leading to variability.
- This study investigates potential misalignments in surgeon recommendations for surgical interventions.
Purpose of the Study:
- To test the hypothesis that surgeons' treatment recommendations for acute cholecystitis misalign with perceived risks and benefits.
- To compare surgeon perceptions of laparoscopic cholecystectomy versus percutaneous cholecystostomy.
- To identify opportunities for data-driven decision support in surgical practice.
Main Methods:
- A web-based survey was administered to surgeons (attendings, fellows, residents).
- Participants estimated risks and benefits of laparoscopic cholecystectomy vs. percutaneous cholecystostomy for moderate and severe acute cholecystitis.
- Surgeons indicated their likelihood of recommending cholecystectomy.
Main Results:
- Surgeons predicted similar morbidity for both procedures but perceived lower recovery rates with percutaneous cholecystostomy.
- A high likelihood of recommending cholecystectomy for moderate cholecystitis (98%) contrasted with severe cases (32%).
- Recommendations for severe cholecystitis were discordant with perceived benefits, with only 32% recommending cholecystectomy despite predicting better recovery.
Conclusions:
- Surgeon recommendations for severe acute cholecystitis do not align with their risk-benefit assessments.
- A significant gap exists between predicted functional recovery and actual treatment recommendations.
- Personalized, data-driven decision support tools could enhance surgical decision-making for acute cholecystitis.
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