"Hey, We Can Do This Together": Findings from an Evaluation of a Multi-sectoral Community Coalition.

Multi-sectoral coalitions focused on systemic health inequities are commonly promoted as important mechanisms to facilitate changes with lasting impacts on population health. However, the development and implementation of such initiatives present significant challenges, and evaluation results are commonly inconclusive. In an effort to add to the evidence base, we conducted a mixed-methods evaluation of the Claremont Healthy Village Initiative, a multi-sectoral partnership based in the Bronx, New York City. At an organizational level, there were positive outcomes with respect to expanded services, increased access to resources for programs, improved linkages, better coordination, and empowerment of local leaders-all consistent with a systemic, community building approach to change. Direct impacts on community members were more difficult to assess: perceived access to health and other services improved, while community violence and poor sanitation, which were also priorities for community members, remained important challenges. Findings suggest significant progress, as well as continued need.

Building and Sustaining Community Partnerships: An Organizational Network Analysis in a Low-resource Neighborhood.

BACKGROUND: Launched in 2012, the Claremont Healthy Village Initiative (CHVI) is a partnership focused on fostering community collaboration, addressing the social determinants of health, and reducing health disparities. Partners include local community centers, schools, after-school programs, health care providers, a health insurer, city agencies, tenant associations, resident leaders, elected officials, and other stakeholders. OBJECTIVES: To understand the development and value of collaboration within the CHVI from the perspective of multiple partners. METHODS: Using a community-based participatory research approach, we worked collaboratively with the CHVI leaders, we used paper-and web-based surveys grounded in social network theory were administered in 2017 and 2018. Questions focused on relationships between organizations that are part of the coalition. Our analysis included responses from organizations that participated in the survey at both points in time. Network measures such as density, degree centrality, and node characteristics were used to understand information sharing, referral, and collaboration among the participating organizations. Additional data included stake-holder interviews. RESULTS: Coalition partners increased connectedness with one another over the course of the study, with significantly greater density of relationship and bi-directional partnerships in the follow-up survey. Of the three types of interactions, referrals showed a trend for highest density change. Trust levels were highest among organizations with a local physical presence. CONCLUSIONS: Social network analysis provided visual and quantitative information that helped reinforce relationships and identify opportunities to improve connectedness and collaboration among diverse community partners, helping to support the coalition's goals and objectives.