Literature DB >> 25677587

Network measures for characterising team adaptation processes.

Susanne Barth1, Jan Maarten Schraagen, Martin Schmettow.   

Abstract

The aim of this study was to advance the conceptualisation of team adaptation by applying social network analysis (SNA) measures in a field study of a paediatric cardiac surgical team adapting to changes in task complexity and ongoing dynamic complexity. Forty surgical procedures were observed by trained human factors researchers, and communication processes amongst team members were recorded. Focusing on who talked to whom, team communication structures, in response to changing task demands, were characterised by various network measures. Results showed that in complex procedures, the communication patterns were more decentralised and flatter. Also, in critical transition phases of the procedure, communication was characterised by higher information sharing and participation. We discuss implications for team adaptation theory and teamwork observation methods. PRACTITIONER
SUMMARY: The reasons for this study were to advance our conceptualisation of team adaptation processes and to further quantify team observation methods. We found that the surgical team studied adapted to complexity of surgical procedures by adopting flatter communication patterns. We quantified team observation methods by applying SNA techniques.

Entities:  

Keywords:  adaptability; social network analysis; surgery; task complexity; teamwork

Mesh:

Year:  2015        PMID: 25677587     DOI: 10.1080/00140139.2015.1009951

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  1 in total

1.  Role network measures to assess healthcare team adaptation to complex situations: the case of venous thromboembolism prophylaxis.

Authors:  Megan E Salwei; Pascale Carayon; Ann S Hundt; Peter Hoonakker; Vaibhav Agrawal; Peter Kleinschmidt; Jason Stamm; Douglas Wiegmann; Brian W Patterson
Journal:  Ergonomics       Date:  2019-04-30       Impact factor: 2.778

  1 in total

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