Model finds surgeon volume determines whether new technique helps or harms

A decision-analytic model applied to direct anterior versus posterior hemiarthroplasty found that the net benefit of adopting a new surgical technique depends heavily on a surgeon's annual case volume, using parameters including number needed to treat, a learning-curve decay constant, and a complication severity weight. Under default parameters, breakeven for cumulative benefit to exceed learning-curve harm ranged from about 6 years at 50 cases per year to never reaching breakeven at 8 cases per year, with only the highest-volume tier remaining favorable under unfavorable assumptions. The authors state that published innovation studies rarely report outcomes stratified by surgeon volume or experience, and provide an interactive tool for surgeons to enter their own values.

Most relevant for: Surgeons considering adoption of a new surgical technique, particularly those with lower annual case volumes or less procedural experience.

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