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Use of a Modified Shadowbox Technique to Deliver Training in Surgical Decision-Making
Lachlan Dick1, Connor Boyle2, Nikki Bruce3
1Medical Education Directorate, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, Scotland.
Journal of Surgical Education
|November 19, 2025
Summary
This study shows a modified Shadowbox simulation effectively improves early-career doctors' ability to recognize factors influencing surgical patient decision-making. The novel simulation enhanced recognition of patient, surgical, radiological, and social factors, improving overall preparedness.
Area of Science:
- Medical Education
- Surgical Training
- Simulation-Based Learning
Background:
- Early-career doctors require enhanced preparedness in recognizing complex factors influencing surgical patient decision-making.
- Traditional training methods may not adequately address the multifaceted nature of clinical decision-making in surgery.
Purpose of the Study:
- To evaluate the effectiveness of a novel, modified video-based simulation technique (Shadowbox) in improving surgical decision-making skills among early-career doctors.
- To assess the impact of the simulation on participants' ability to identify and weigh various factors influencing clinical decisions.
Main Methods:
- A modified Shadowbox simulation technique was employed, utilizing realistic case vignettes with added complexities.
- Participants worked through scenarios, formulated management plans, and reviewed unscripted responses from senior surgical residents.
- Facilitated debriefing sessions encouraged reflection on decision-making processes and factor weighting; pre- and post-simulation preparedness was measured using a Likert scale.
Main Results:
- The simulation was well-received, with 75.4% of participants finding it helpful in developing decision-making skills.
- Significant improvements were observed in the identification of patient, surgical, radiological, and social factors influencing decision-making (p < 0.01 for most).
- Recognition of when to transition from conservative to operative management also significantly improved (p = 0.01).
Conclusions:
- The modified Shadowbox technique offers an effective and scalable approach to enhance surgical decision-making training for early-career doctors.
- This simulation method holds potential for adaptation to train higher surgical residents across diverse specialties.

