“Loop” as a Window: Analytics and Social Network Theory to Understand Teams of Care

Allison Kurahashi* Jennifer Stinson*
Allison Kurahashi*, Mount Sinai Hospital, Toronto, Canada
Trevor Jamieson, St. Michaels Hospital and University of Toronto, Toronto, Canada
Amna Husain, Mount Sinai Hospital and University of Toronto, Toronto, Canada
Peter Weinstein, Healthcare Human Factors, University Health Network, Toronto, Canada
Jennifer Stinson*, The Hospital for Sick Children and University of Toronto, Toronto, Canada
Bhadra Lokuge, Mount Sinai Hospital, Toronto, Canada
Renée Desjardins, Healthcare Human Factors, University Health Network, Toronto, Canada
Wayne Ho, Healthcare Human Factors, University Health Network, Toronto, Canada
Joseph Cafazzo, Healthcare Human Factors, University Health Network and University of Toronto, Toronto, Canada

Track: Research
Presentation Topic: Consumer empowerment, patient-physician relationship, and sociotechnical issues
Presentation Type: Poster presentation
Submission Type: Single Presentation

Last modified: 2014-11-03

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Background: Loop is a secure online tool for ongoing, dynamic team-based communication centered on the patient for the purpose of collaboration in their care. Loop assembles the patient's actual team of care, and adds the patient and informal caregivers as key team members. In areas such as cancer care and palliative care the teams of health care professionals (HCP) involved are often complex, fragmented, non-static and geographically dispersed. To capture the entire team, Loop is cross-setting, cross-organizational, inter-professional, and its development has been user-driven from its inception. In addition to its use as a communication platform, Loop has been developed to allow for real-time performance analytics as well as complete data extracts for in-depth analysis. The existence of a tool is, of course, no guarantee of its uptake, and there are many potential barriers that even the most useful tool must overcome: money, time, and regulation to name the most obvious. In this study, we undertake a mixed-methods analysis of the organic networks and interactions that develop with the provision of a tool for cross-institutional and cross-jurisdictional collaboration. Through interviewing of participants and both quantitative and qualitative analyses of the connections that develop, the messages exchanged, and ultimately the team-based behavior that is observed, a greater description of the inherent barriers in the system that impede teams of care becomes possible.

Objective: The primary objective of this study is to describe a system as it develops after the provision of a tool that should, in theory, facilitate greater team interaction and group behavior. The secondary objective is to propose systemic modifications that may overcome barriers that are observed.

Methods: A complimentary study performing a pragmatic randomized controlled trial is the setting for this evaluation. 35 intervention teams and 15 control teams (groups of providers, caregivers and patients without a networking tool to facilitate interaction) will serve as the basis for this analysis. The tool’s impact on the organic formation of the team will be analyzed using mixed-methods. In the experimental groups, an analysis of the messaging metadata will be assessed for the types of interaction and themes of interaction. Instances of behavior that may foster or impede team behaviors, for example, patient inclusion vs. exclusion in conversation, directed vs. non-directed messaging, or one to one vs. one to many messaging will be specifically examined. Social network analysis will be used to map the structure of the emergent teams, identify key players, and will be combined with interviews in order to foster a more complete understanding of the systems as they develop.

Results: Research in Progress

Conclusions: Research in Progress

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