Spatial analysis reveals geographic influences on surgical results and access, shaping patient selection and care strategies.

• Kernel density estimation can pinpoint geographic clusters of complications.
• Spatial autoregression models highlight both direct and spillover effects on outcomes.

Surgeons must carefully interpret spatial findings to avoid misleading conclusions.

• Bayesian approaches offer stable estimates, particularly in small-area studies.