Advanced search
1 file | 680.87 KB Add to list

Healthcare teams as complex adaptive systems : understanding team behaviour through team members’ perception of interpersonal interaction

Peter Pype (UGent) , Fien Mertens (UGent) , Fleur Helewaut (UGent) and Demi Krystallidou (UGent)
Author
Organization
Abstract
Background: Complexity science has been introduced in healthcare as a theoretical framework to better understand complex situations. Interdisciplinary healthcare teams can be viewed as Complex Adaptive Systems (CAS) by focusing more on the team members' interaction with each other than on the characteristics of individual team members. Viewing teams in this way can provide us with insights into the origins of team behaviour. The aim of this study is to describe the functioning of a healthcare team as it originates from the members' interactions using the CAS principles as a framework and to explore factors influencing workplace learning as emergent behaviour. Methods: An interview study was done with 21 palliative home-care nurses, 20 Community nurses and 18 general practitioners in Flanders, Belgium. A two-step analysis consisted of a deductive approach, which uses the CAS principles as coding framework for interview transcripts, followed by an inductive approach, which identifies patterns in the codes for each CAS principle. Results: All CAS principles were identified in the interview transcripts of the three groups. The most prevalent principles in our study were principles with a structuring effect on team functioning: team members act autonomously guided by internalized basic rules; attractors shape the team functioning; a team has a history and is sensitive to initial Conditions; and a team is an open system, interacting with its environment. The other principles, focusing on the result of the structuring principles, were present in the data, albeit to a lesser extent: team members' interactions are non-linear; interactions between team members can produce unpredictable behaviour; and interactions between team members can generate new behaviour. Patterns, reflecting team behaviour, were recognized in the coding of each CAS principle. Patterns of team behaviour, identified in this way, were linked to interprofessional competencies of the Interprofessional Collaboration Collaborative. Factors influencing workplace learning were identified. Conclusions: This study provides us with insights into the origin of team functioning by explaining how patterns of interactions between team members define team behaviour. Viewing healthcare teams as Complex Adaptive Systems may offer explanations of different aspects of team behaviour with implications for education, practice and research.
Keywords
Complexity science, Complex adaptive systems, Interprofessional relations, Healthcare teams, Interpersonal interaction, Palliative care, Interdisciplinary communication, PALLIATIVE HOME-CARE, INTERPROFESSIONAL TEAMWORK, MEDICAL-EDUCATION, PATIENT SAFETY, NURSING-HOMES, SCIENCE, COLLABORATION, IDENTITY, COMMUNICATION, FRAMEWORK

Downloads

  • Pype BMC CAS.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 680.87 KB

Citation

Please use this url to cite or link to this publication:

MLA
Pype, Peter, et al. “Healthcare Teams as Complex Adaptive Systems : Understanding Team Behaviour through Team Members’ Perception of Interpersonal Interaction.” BMC HEALTH SERVICES RESEARCH, vol. 18, 2018, doi:10.1186/s12913-018-3392-3.
APA
Pype, P., Mertens, F., Helewaut, F., & Krystallidou, D. (2018). Healthcare teams as complex adaptive systems : understanding team behaviour through team members’ perception of interpersonal interaction. BMC HEALTH SERVICES RESEARCH, 18. https://doi.org/10.1186/s12913-018-3392-3
Chicago author-date
Pype, Peter, Fien Mertens, Fleur Helewaut, and Demi Krystallidou. 2018. “Healthcare Teams as Complex Adaptive Systems : Understanding Team Behaviour through Team Members’ Perception of Interpersonal Interaction.” BMC HEALTH SERVICES RESEARCH 18. https://doi.org/10.1186/s12913-018-3392-3.
Chicago author-date (all authors)
Pype, Peter, Fien Mertens, Fleur Helewaut, and Demi Krystallidou. 2018. “Healthcare Teams as Complex Adaptive Systems : Understanding Team Behaviour through Team Members’ Perception of Interpersonal Interaction.” BMC HEALTH SERVICES RESEARCH 18. doi:10.1186/s12913-018-3392-3.
Vancouver
1.
Pype P, Mertens F, Helewaut F, Krystallidou D. Healthcare teams as complex adaptive systems : understanding team behaviour through team members’ perception of interpersonal interaction. BMC HEALTH SERVICES RESEARCH. 2018;18.
IEEE
[1]
P. Pype, F. Mertens, F. Helewaut, and D. Krystallidou, “Healthcare teams as complex adaptive systems : understanding team behaviour through team members’ perception of interpersonal interaction,” BMC HEALTH SERVICES RESEARCH, vol. 18, 2018.
@article{8569381,
  abstract     = {{Background: Complexity science has been introduced in healthcare as a theoretical framework to better understand complex situations. Interdisciplinary healthcare teams can be viewed as Complex Adaptive Systems (CAS) by focusing more on the team members' interaction with each other than on the characteristics of individual team members. Viewing teams in this way can provide us with insights into the origins of team behaviour. The aim of this study is to describe the functioning of a healthcare team as it originates from the members' interactions using the CAS principles as a framework and to explore factors influencing workplace learning as emergent behaviour. 
Methods: An interview study was done with 21 palliative home-care nurses, 20 Community nurses and 18 general practitioners in Flanders, Belgium. A two-step analysis consisted of a deductive approach, which uses the CAS principles as coding framework for interview transcripts, followed by an inductive approach, which identifies patterns in the codes for each CAS principle. 
Results: All CAS principles were identified in the interview transcripts of the three groups. The most prevalent principles in our study were principles with a structuring effect on team functioning: team members act autonomously guided by internalized basic rules; attractors shape the team functioning; a team has a history and is sensitive to initial Conditions; and a team is an open system, interacting with its environment. The other principles, focusing on the result of the structuring principles, were present in the data, albeit to a lesser extent: team members' interactions are non-linear; interactions between team members can produce unpredictable behaviour; and interactions between team members can generate new behaviour. Patterns, reflecting team behaviour, were recognized in the coding of each CAS principle. Patterns of team behaviour, identified in this way, were linked to interprofessional competencies of the Interprofessional Collaboration Collaborative. Factors influencing workplace learning were identified. 
Conclusions: This study provides us with insights into the origin of team functioning by explaining how patterns of interactions between team members define team behaviour. Viewing healthcare teams as Complex Adaptive Systems may offer explanations of different aspects of team behaviour with implications for education, practice and research.}},
  articleno    = {{570}},
  author       = {{Pype, Peter and Mertens, Fien and Helewaut, Fleur and Krystallidou, Demi}},
  issn         = {{1472-6963}},
  journal      = {{BMC HEALTH SERVICES RESEARCH}},
  keywords     = {{Complexity science,Complex adaptive systems,Interprofessional relations,Healthcare teams,Interpersonal interaction,Palliative care,Interdisciplinary communication,PALLIATIVE HOME-CARE,INTERPROFESSIONAL TEAMWORK,MEDICAL-EDUCATION,PATIENT SAFETY,NURSING-HOMES,SCIENCE,COLLABORATION,IDENTITY,COMMUNICATION,FRAMEWORK}},
  language     = {{eng}},
  pages        = {{13}},
  title        = {{Healthcare teams as complex adaptive systems : understanding team behaviour through team members’ perception of interpersonal interaction}},
  url          = {{http://doi.org/10.1186/s12913-018-3392-3}},
  volume       = {{18}},
  year         = {{2018}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: