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Exploring implicit influences on interprofessional collaboration: a scoping review.

Javeed Sukhera1, Kaitlyn Bertram2, Shawn Hendrikx3

  • 1Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Journal of Interprofessional Care
|October 4, 2021
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Summary
This summary is machine-generated.

Implicit biases negatively impact interprofessional collaboration (IPC) by influencing team dynamics and communication. More research is needed on how these biases and material factors affect diverse healthcare teams.

Keywords:
Biascollaborationequitypower

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Area of Science:

  • Healthcare
  • Social Sciences
  • Organizational Behavior

Background:

  • Interprofessional collaboration (IPC) is essential in healthcare but faces challenges.
  • Implicit biases, stemming from social and historical contexts, significantly impact team dynamics.
  • The influence of bias on IPC remains under-explored in existing literature.

Purpose of the Study:

  • To conduct a scoping review on the influence of implicit biases within interprofessional teams.
  • To identify how biases affect communication, trust, and collaboration dynamics.
  • To highlight research gaps concerning bias in IPC.

Main Methods:

  • Scoping review methodology utilized.
  • Extensive search of online databases for relevant articles.
  • Independent title/abstract screening and full-text eligibility assessment of 2792 articles.
  • Data extraction, coding, and analysis using socio-material theories.

Main Results:

  • Studies showed internalized biases related to dominance and expertise negatively influenced collaboration.
  • Team members were observed to dynamically adapt to existing biases.
  • A lack of research on the material influences and dynamic interactions between humans and materials was noted.

Conclusions:

  • Implicit biases are significantly under-explored in the context of IPC.
  • Critical research gaps exist regarding material influences and the interplay of racial, age-related, and gender biases.
  • Future research should adopt longitudinal and reciprocal approaches to study bias influences in diverse settings.