Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Anoosha Moturu; Geoffrey G. Hobika; Jason B. Liu; J. Joshua Smith; Zara R Cooper; Bruce L. Hall; Andrea L Pusic; C. Ko

doi:10.1097/xcs.0000000000001886

March 3, 2026Journal of the American College of Surgeons

Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

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Key Points

To evaluate variability in surgeon-level shared-decision making (SDM) performance using CollaboRATE.
Utilized CollaboRATE to assess SDM among surgeons.
Analyzed data to identify variability in surgeon performance.
Focused on implications for quality improvement and training.
Identified notable variability in SDM performance among surgeons.
Highlighted SDM as a skill that can be improved through focused training.

Implication

This analysis examines shared-decision making variability among surgeons, suggesting targeted quality improvement efforts.

Abstract

Using CollaboRATE to describe surgeon-level variability will be useful for both benchmarking and targeted quality improvement. These results suggest SDM might be a modifiable skill warranting targeted improvement efforts and surgeon-specific training.

Discussion

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Cite This Study

Moturu et al. (2026) studied this question.

synapsesocial.com/papers/69a91e4cd6127c7a504c2184 https://doi.org/10.1097/xcs.0000000000001886

View at Publisher

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Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Key Points

Implication

Abstract

Discussion

Cite This Study

Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Key Points

Implication

Abstract

Discussion

Cite This Study

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