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Evaluating a Center for Interprofessional Education via Social Network Analysis.
Alan W Dow1, Daniel K Sewell, Kelly S Lockeman
1A.W. Dow is assistant vice president of health sciences for interprofessional education and collaborative care and professor of medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia; ORCID: https://orcid.org/0000-0002-9004-7528. D.K. Sewell is assistant professor of biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa; ORCID: https://orcid.org/0000-0002-9238-4026. K.S. Lockeman is assistant professor of medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia; ORCID: https://orcid.org/0000-0003-1890-3710. E.A. Micalizzi is center administrator, Virginia Commonwealth University Center for Interprofessional Education and Collaborative Care, Richmond, Virginia.
Social network analysis (SNA) offers a novel method to evaluate interprofessional education (IPE) centers. This approach reveals network evolution and collaboration patterns, providing insights beyond traditional metrics for centers and institutes.
Area of Science:
- Health Professions Education
- Social Network Analysis
- Organizational Science
Background:
- Centers and institutes facilitate interdisciplinary collaboration but face challenges in impact evaluation.
- Traditional metrics may not fully capture the complex nature of interdisciplinary work.
- Interprofessional education (IPE) is a growing focus for centers globally.
Purpose of the Study:
- To apply social network analysis (SNA) techniques to evaluate the impact of an interprofessional education (IPE) center.
- To understand the evolution of faculty collaboration networks within an IPE center.
- To explore SNA as a supplementary evaluation tool for centers and institutes.
Main Methods:
- Constructed faculty collaboration networks from 2014-2017 for an IPE center at Virginia Commonwealth University.
- Utilized mathematical techniques to analyze network structure and changes over time.
- Examined network density, cluster formation, and key connector faculty.
Main Results:
- Faculty maintained consistent connection levels despite growth in programs and participants.
- New faculty clusters emerged, with specific faculty acting as crucial connectors.
- Confirmed the interprofessional nature of collaborations within the network.
- SNA provided evaluation data beyond traditional metrics like learner or faculty counts.
Conclusions:
- SNA offers valuable insights into the evolution and collaborative dynamics of IPE centers.
- This methodology can guide strategic decisions for centers aiming for interdisciplinary impact.
- Further development of benchmarks could enable comparative evaluation of centers using SNA.
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