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Connecting the Dots: Social Network Analysis (SNA) as a Quality Improvement Measurement Tool

Held May 27, 2015

Watch the Webinar Video 

Synopsis:

How can quality improvement (QI) relationships and networks be visualized and measured? How can QI teams know they have engaged the right people and organizations, as well as identified key people who can help with the uptake and spread of a QI initiative? How can QI uptake and spread be measured? Social network analysis (SNA) is a method that models and measures relationships between people and groups, and it can help answer these questions. This webinar will provide an introduction to SNA – including how to collect data and interpret a basic social network map.

Demonstrating the application of SNA in QI work, CFHI will provide an overview of how this method is being applied as an evaluative tool within a regional collaboration, including early results from the Atlantic Healthcare Collaboration.

After this webinar, participants will be able to:

  • Describe the general theory behind social network analysis;
  • Collect social network data;
  • Create a social network visualization; and
  • Interpret social network data.

Who Should Participate

This session is ideal for healthcare professionals or teams who are undertaking quality improvement projects and are looking to document, measure and identify ways to improve the uptake and spread of their work.

Speaker:

thomas-valenteThomas W. Valente, PhD, is a Professor in the Department of Preventive Medicine, Institute for Prevention Research, Keck School of Medicine, at the University of Southern California. He is author of Social Networks and Health: Models, Methods, and Applications (2010, Oxford University Press); Evaluating Health Promotion Programs (2002, Oxford University Press); Network Models of the Diffusion of Innovations (1995, Hampton Press); and over 140 articles and chapters on social networks, behavior change, and program evaluation. Valente uses social network analysis, health communication, and mathematical models to implement and evaluate health promotion programs designed to prevent tobacco and substance abuse, unintended fertility, and STD/HIV infections. He is also engaged in mapping community coalitions and collaborations to improve health care delivery and reduce healthcare disparities.

He is well known for his pioneering work on network interventions. Valente is on the editorial boards of Social Networks; Network Science; and the Journal of Health Communication. Valente received the Everett M Rogers Public Health Communication Award from the Public Health Education and Health Promotion (PHEHP) Section of the American Public Health Association; and the USC Melon mentoring award in 2013. Valente received his BS in Mathematics from the University of Mary Washington, his MS in Mass Communication from San Diego State University, and his PhD from the Annenberg School for Communication at USC. In 2008, he was a visiting senior scientist at NIH (NHGRI) for 6 months; and in 2010-2011 he was a visiting Professor at the École des Haute Études en Santé Publique (Paris/Rennes).

keesa ElicksonKeesa Elicksen, MA, is an improvement analyst with the Canadian Foundation for Healthcare Improvement (CFHI). Since joining CFHI in 2012, Keesa has worked with social network analysis as a tool to explore and understand the impact of CFHI’s collaborative programming on developing inter-regional and inter-professional quality improvement networks within Canada. Keesa completed her master’s degree at Carleton University at the Norman Paterson School of International Affairs (NPSIA) and undergraduate degree at the University of Alberta.

Host:

Kaye PhillipsKaye Phillips

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