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Network measures for characterising team adaptation processes.

Susanne Barth1, Jan Maarten Schraagen, Martin Schmettow

  • 1a Department of Communication Science - Corporate and Marketing Communication , University of Twente , P.O. Box 217, 7500 AE Enschede , The Netherlands.

Ergonomics
|February 14, 2015
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Summary

Surgical teams adapt to complex procedures by using flatter communication networks. Social network analysis (SNA) quantified how team communication structures changed during paediatric cardiac surgery.

Keywords:
adaptabilitysocial network analysissurgerytask complexityteamwork

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Area of Science:

  • Medicine
  • Human Factors
  • Organizational Psychology

Background:

  • Team adaptation is crucial in high-stakes environments like paediatric cardiac surgery.
  • Understanding team communication dynamics is key to improving patient outcomes.
  • Existing methods for observing teamwork may not fully capture adaptation processes.

Purpose of the Study:

  • To advance the conceptualization of team adaptation.
  • To apply social network analysis (SNA) measures in a field study.
  • To quantify team observation methods in response to changing task demands.

Main Methods:

  • Observed 40 paediatric cardiac surgical procedures.
  • Trained human factors researchers recorded communication processes.
  • Applied social network analysis (SNA) to characterize team communication structures.

Main Results:

  • Complex procedures showed more decentralized and flatter communication patterns.
  • Critical procedural phases involved higher information sharing and participation.
  • SNA quantified team adaptation by identifying shifts in communication structures.

Conclusions:

  • Team adaptation in surgery involves dynamic changes in communication patterns.
  • Social network analysis provides a quantitative method for observing teamwork.
  • Findings have implications for team adaptation theory and improving surgical teamwork.