142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

Examining and predicting network relationships in a longitudinal study of a community health partnership

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014 : 12:30 PM - 12:50 PM

Scott Robinson, PhD , Department of Political Science, University of Oklahoma, Norman, OK
Heather Clark, MSPH , Center for Community Health Development, School of Rural Public Health, College Station, TX
Kenneth R. McLeroy, PhD , Center for Community Health Development, School of Rural Public Health, College Station, TX
James N. Burdine, DrPH , Center for Community Health Development, School of Rural Public Health, College Station, TX
Work in public health increasingly requires coordination of multiple organizations within a community to achieve positive change.  Successful collaboration requires the connection of diverse organizations to tackle complex and pressing problems at multiple levels of the social ecological model (McLeroy et al., 1988).  Diversity though can create challenges for the coordination of public health collaborations seeking to make an impact.  Our presentation will use the experience from the development of a community health partnership in central Texas to assess study hypotheses related to the barriers to coordination created by diversity such as differences in sector (government, nonprofit, private), policy domain (public health, medicine, etc.), organization size, and tenure of membership within the collective. The data involve a comprehensive mixed-mode survey of all members to collect both organization-level attributes, connectivity within the network, and network position. Using the most recent of four waves of network surveys, we develop and test an exponential random graph model (ERGM) to test these hypotheses with the focusing being the existence (and persistence) of a tie between organizations.  The ERGM model provides the opportunity to simultaneously model the effects of organizational attributes (e.g. organization size), relations between organizations (e.g. shared sector), and structural aspects of the network (e.g. overall network density or a tendency towards closed triads of actors).  This research will provide insight into the points of vulnerability within public health networks.  Such knowledge will empower collaborative leaders to identify and address points of tension within their network, prevent potential attrition, and maximize collective impact.

Learning Areas:

Conduct evaluation related to programs, research, and other areas of practice
Public health or related research

Learning Objectives:
Identify the barriers to the incorporation of diverse sectors in community health partnership networks Identify how diverse partnerships evolve over time Describe how clustering of diverse sectors affect the structure of public health networks Discuss how collaborative leaders/facilitators can improve coordination in diverse networks

Keyword(s): Network Analysis, Community-Based Partnership & Collaboration

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Scott E. Robinson is the Henry Bellmon Chair of Public Service and Associate Professor at the Department of Political Science at the University of Oklahoma. His research focuses on the management and politics of public agencies and the dynamics of public policy, with special attention to emergency management and administrative networking.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.