Exploring Networks in Rutland's Community Health Network Study
This study focuses on describing the networks of organizations that have emerged in each Blueprint Health Service Area (HSA) to support population and individual health. It examines the role of Community Health Teams, the connections between participating organizations, characteristics of successful networks, and their impact on health. The study includes information on core network membership, survey participation, social network analysis, and network maps within the Rutland Health Service Area.
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Rutlands Community Health Network
Study Objective Objective Describe the network of organizations that has emerged in each Blueprint HSA to support population and individual health, focusing on modes of collaboration and relationships between organizations Background and Key Questions This study is the first step towards answering key questions about the networks that are active in Blueprint communities: What role did investment in core Community Health Teams have in seeding these larger networks? How are the participating organizations connected to each other? How are these relationships maintained and reinforced how durable are they? What characteristics do the most successful networks share? What impact do these networks have on individual and population health?
Who We Surveyed Core Network Membership In this Health Service Area (HSA) network membership began with a core group of organizations similar to the organizations represented in the area s Unified Community Collaborative. Community Additions Before conducting the full survey, we reached out to representatives of the core organization via email to ask what organization were actively involved in the network but not already on the list. Organization mentioned multiple times were included in the full survey.
Survey Participation Invitations and reminders sent via Survey Monkey, additional reminders sent directly via email Invitations Sent 38 Surveys Started 26 Response Rate 68% Completed Surveys 20 Completion Rate 77%
Social Network Analysis What? A network graph maps interactions Network analysis quantifies relationships Why? Describe a community objectively Explore the relationships that make up a community Look for patterns across communities Inform planning of collaboration for community health improvement
Network Maps RUTLAND HEALTH SERVICE AREA
Our organizations . . . HAVE PATIENTS/CLIENTS IN COMMON Node color shows Degree Node size shows Betweeness Centrality Degree Number of connections Betweeness Centrality How often an organization is on the shortest path between two other organizations Graph Density %
Our organizations . . . SHARE INFORMATION ABOUT SPECIFIC PATIENTS/CLIENTS Node color shows Degree Node size shows Betweeness Centrality Graph Density %
Our organizations . . . SHARE INFORMATION ABOUT PROGRAMS, SERVICES AND/OR POLICY Node color shows Degree Node size shows Betweeness Centrality Graph Density %
My organization SENDS REFERRALS TO this organization My organization RECEIVES REFERRALS FROM this organization Node color shows Degree Node size shows Betweeness Centrality Graph Density %
Our organizations . . . SHARE RESOURCES (e.g. joint funding, shared equipment, personnel or facilities) Node color shows Degree Node size shows Betweeness Centrality Graph Density %
FULL NETWORK all questions Node color shows Network Neighborhood Node size shows Betweeness Centrality Elder Care Services Youth & Family Services State and ?
Network Statistics Average Degree Average number of connections per organization 14 Network Diameter Distance (in connections) between the two most distant organizations 2 Graph Density Percentage of possible connections that are active 59% Modularity A measure of how readily the network could dissolve into separate modules 0.06 Average Shortest Path Length Average shortest distance between organizations (in connections) 1.4
Organization Statistics Organizations Ranked by Betweeness Centrality Betweenness Centrality is a measure of how likely an organization is to appear on the shortest path between any two randomly selected network members. Rutland Area Visiting Nurse Association and Hospice RRMC - Community Health Team RRMC - Emergency Department Rutland Mental Health Services State of VT - Agency of Human Services (AHS) Highest In-Degree In-Degree represents the total number of connections directed in, towards an organization. These are connections reported by another organization, with the exception of referrals from which would be reported by the organization itself. 22 Rutland Area Visiting Nurse Association and Hospice 22 RRMC - Emergency Department 21 RRMC - Community Health Team 21 Rutland Mental Health Services 19 Community Health Centers of the Rutland Regions (CHCRR)
Team Based Care RUTLAND HEALTH SERVICE AREA
Team Based Care % of Respondents who "Agree" or "Strongly Agree" That Their Community Exhibits the Given Team Characteristics 100% 95% 90% 81% 80% 79% 76% 80% 75% 74% 74% 72% 72% 70% 69% 68% 66% 70% 61% 60% 60% 50% 50% 38% 40% 35% 28% 30% 20% 10% 0% Shared Goals Mutual Trust Effective Communications Clear Roles Measureable Processes and Outcomes Rutland FY14 Rutland FY15 State Avg. FY 14 State Avg. FY 15
Observations and Questions The Team Based Care measures show exceptionally high levels of trust in the Rutland network, with 95% of respondents indicating they agree or strongly agree that our organizations trust each other. This is a 21% jump from the previous survey. What has changed in the past year to drive this improvement? Agreement has nearly doubled (50% vs. 28% a year ago) with the statement our organizations measure the work we do together and its outcomes. How is this network measuring its shared projects and successes? The Vermont Department of Health and the Agency of Human Services are most central to the referrals sub-network, which isn t seen in many HSAs. What accounts for their prominence here? The RRMC Emergency Department is central in the information sharing sub-networks. Has this had any impact on ED utilization patterns in the area?
