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Related Experiment Video

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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Investigating online interprofessional learning and communication using social network analysis: a study protocol.

William Simpson1,2, Kunal D Patel3,4, Scott Reeves3

  • 1Department of Psychiatry and Behavioural Neurosciences, McMaster University , Hamilton, Canada.

Journal of Interprofessional Care
|December 24, 2019
PubMed
Summary
This summary is machine-generated.

Online learning environments (OLEs) facilitate interprofessional education (IPE), enhancing patient outcomes and professional collaboration. Social network analysis (SNA) quantitatively reveals how communication patterns in OLEs impact interprofessional attitudes and behaviors.

Keywords:
Interprofessional educationinterprofessional communicationonline learningprotocolsocial network analysis

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Area of Science:

  • Health Professions Education
  • Online Learning
  • Social Network Analysis

Background:

  • Interprofessional education (IPE) in online learning environments (OLEs) shows promise for improving patient outcomes, attitudes, and behaviors.
  • Existing research on interprofessional learning predominantly uses qualitative methods to examine communication patterns.
  • Quantitative analysis of communication in OLEs is needed to understand its impact on learning and professional development.

Purpose of the Study:

  • To quantitatively track interprofessional communication within an online cancer care course using Social Network Analysis (SNA).
  • To examine the relationship between communication patterns and interprofessional attitudes, behaviors, and collaboration.
  • To add a quantitative dimension to the existing qualitative literature on IPE.

Main Methods:

  • Utilized Social Network Analysis (SNA) to analyze communication patterns from discussion board posts in an online cancer care course.
  • Employed pre and post-course surveys to assess interprofessional attitudes and collaboration.
  • Derived various SNA metrics to quantify communication characteristics among interprofessional learners.

Main Results:

  • The study quantitatively analyzed interprofessional communication within an online cancer care course.
  • SNA metrics were correlated with changes in interprofessional attitudes and collaboration.
  • Findings suggest communication patterns may mediate learning outcomes in IPE.

Conclusions:

  • Social Network Analysis (SNA) provides a valuable quantitative method for studying interprofessional communication in online learning environments (OLEs).
  • Communication dynamics in IPE can be quantitatively linked to improvements in interprofessional attitudes and collaborative behaviors.
  • This study contributes a quantitative perspective to IPE research, encouraging further investigation into online interprofessional learning.