Quantifying relational change in community organisations participating in a Veteran suicide prevention learning collaborative: a social network analysis.

BACKGROUND: Veteran suicide remains a significant issue, as 17.5 Veterans die by suicide each day. The US Department of Veteran Affairs (VA) has implemented a robust suicide prevention program within its integrated behavioural health system. Further, the VA has increasingly contributed to suicide prevention in community settings, where a large proportion of Veterans receive health care and social services. One component integral to preventing suicide among Veterans receiving community services is ensuring that organisations are equipped with the latest evidence-based Veteran-specific suicide prevention strategies. METHODS: The Patient Safety Center of Inquiry-Suicide Prevention Collaborative piloted a Veteran suicide prevention learning collaborative in the Denver/Colorado Springs, CO region, spanning 16 months as a multimodal initiative to integrate community organisations and assist them in implementing Veteran suicide prevention strategies used within VA. Agencies completed social network analysis surveys at baseline (T1), year 1 (T2) and 16 months (T3) to examine social networks, partnerships and collaborations among community organisations and the VA over time. RESULTS: The quantity of learning collaborative relationships increased from 30 at T1 to 41 at T3 while the quality of relationships deepened over time from awareness and cooperative to more coordinated and integrated. CONCLUSION: Improvement in relationship quantity and quality facilitates community organisation engagement in collaborating to strengthen their Veteran suicide prevention programming. Learning collaboratives work with the individual organisation for intraorganisational facilitation of implementing suicide prevention strategies and engage and enhance interorganisational partnerships. This multimodal intervention can engage community organisations and provide a stronger safety net for Veterans at risk for suicide.

Understanding rural social networks addressing adverse childhood experiences: A case study of the San Luis Valley.

INTRODUCTION: The purpose of this study is to assess a cross-sector, interorganizational network addressing adverse childhood experiences (ACEs) in a rural Colorado community. We characterize the organizations in the network, assess their awareness of ACEs, and evaluate how they participate in the network. We also assess the network health. METHOD: Employing a social network analysis approach, we collected survey data from 45 organizations that support young children and their families, including nonprofits, health care clinics, and early childhood education centers, among others. RESULTS: On average, nonprofit organizations had relationships with a greater percentage of network members than other types of organizations. Network members engaged in relationships focused on a wide range of activities (e.g., client assessments, sharing information, providing services), with some organizational types leading the network in certain activities. Scores across all dimensions of trust and value were above 3 (range: 2.1-3.8), which is advantageous for a network and network relationships existed across a range of relational intensities (from awareness to organizational integration). DISCUSSION: Nonprofit organizations that reported high levels of connectedness in the network were able to effectively mobilize the ACEs network. Health clinics participated in a greater share of relationships involving assessment, service provision, and tool sharing than other types of organizations. As such, health care clinics may serve as leaders in directly serving children and families experiencing ACEs in rural communities. The rural context may also explain high levels of trust and value, which can serve as assets for future network development and mobilization. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Resilience and fragmentation in healthcare coalitions: The link between resource contributions and centrality in health-related interorganizational networks.

Interorganizational coalitions or collaboratives in healthcare are essential to address the health challenges of local communities, particularly during crises such as the Covid-19 pandemic. However, few studies use large-scale data to systematically assess the network structure of these collaboratives and understand their potential to be resilient or fragment in the face of structural changes. This paper analyzes data collected in 2009-2017 about 817 organizations (nodes) in 42 healthcare collaboratives (networks) throughout Florida, the third-largest U.S. state by population, including information about interorganizational ties and organizations' resource contributions to their coalitions. Social network methods are used to characterize the resilience of these collaboratives, including identification of key players through various centrality metrics, analyses of fragmentation centrality and core/periphery structure, and Exponential Random Graph Models to examine how resource contributions facilitate interorganizational ties. Results show that the most significant resource contributions are made by key players identified through fragmentation centrality and by members of the network core. Departure or removal of these organizations would both strongly disrupt network structure and sever essential resource contributions, undermining the overall resilience of a collaborative. Furthermore, one-third of collaboratives are highly susceptible to disruption if any fragmentation-central organization is removed. More fragmented networks are also associated with poorer health-system outcomes in domains such as education, health policy, and services. ERGMs reveal that two types of resource contributions - community connections and in-kind resource sharing - are especially important to facilitate the formation of interorganizational ties in these coalitions.

Exploring the capacity of community-based organisations to absorb health system patient referrals for unmet social needs.

This study examines the perspectives, resources, role and services provided by community-based organisations (CBOs) in response to the integration of health and social services to address individual unmet social needs, as well as the impact on organisational carrying capacity related to the ability to receive referrals from health system partners. Mixed methods combining qualitative interviews with 24 organisations and Social Network Analysis with 75 organisations were completed in 2018 in two communities (Denton, TX and Sarasota, FL) with robust examples of health and social systems alignment. Findings suggest that while community organisations are embedded in robust cross-sector networks, the potential increase in referrals from clinical settings is not something they are fully aware of, or prepared for, as evidenced by inadequate funding models, misalignment between capacity and capability, and a lack of coordination on screening and referral activities. Misalignment between clinical and CBO understanding of demand, needs and capacity present a potential risk in building strategies that integrate health and social services to address unmet social need. Failing to build a strong cross-sector screening and referral infrastructure that considers CBO capacity from the start could undermine the goal of improving population health through the integration of clinical and social care.

Patient Sharing and Health Care Utilization Among Young Adults With Congenital Heart Disease.

Transitions from pediatric to adult care by young adults with chronic conditions are fraught with challenges. Poor transitions lead to discontinuities of care that are avoidable with better communication between providers. We tested whether exposure to providers with sustained patient-sharing relationships resulted in fewer emergent admissions of young adults with congenital heart disease (CHD). Care transitions are particularly important for young adults with CHD. Though it is not possible to avoid planned admissions for scheduled procedures, emergency admissions are avoidable with proper care. We tested whether several different patient-sharing relationship measures influenced emergent admissions and found that compared with less severe CHD patients, those with severe CHD experienced a 4 to 10 percentage point decline in emergent admissions given a 5 percentage point increase in practice-level patient-sharing relationships. These results are consistent with our hypothesis that patient sharing improves communication and continuity of care across providers, especially for severe CHD patients.

An Innovative Network Approach to Coordinating a National Effort to Improve Cardiovascular Health: The Case of Million Hearts.

OBJECTIVE: To assess the structure, content, quality, and quantity of partnerships that developed in response to a national cardiovascular health initiative, Million Hearts. DESIGN: This study used a social network analysis (SNA) approach to assess the Million Hearts initiative network partnerships and identify potential implications for policy and practice. SETTING/PARTICIPANTS: The Million Hearts network comprised a core group of federal and private sector partners that participate in Million Hearts activities and align with initiative priorities. To bound the network for the SNA, we used a list of 58 organizations (74% response rate) from a previously completed qualitative analysis of Million Hearts partnerships. MAIN OUTCOME MEASURES: We used the online PARTNER (Program to Analyze Record and Track Networks to Enhance Relationships-www.partnertool.net) survey to collect data on individual organizational characteristics and relational questions that asked organizations to identify and describe their relationships with other partners in the network. Key SNA measures include network density, centralizations, value, and trust. RESULTS: Our analyses show a network that is decentralized, has strong perceptions of trust and value among its members, and strong agreement on intended outcomes. Interestingly, partners report a desire and ability to contribute resources to Million Hearts; however, the perceptions between partners are that resources are not being contributed at the level they potentially could be. The majority of partners reported that being in the network helped them achieve their goals related to cardiovascular disease prevention. The largest barrier to successful activities within the network was cited as lack of targeted funding and staff to support participation in the network. CONCLUSIONS: The Million Hearts network described in this article is unique in its membership at the national level, agreement on outcomes, its powerful information-sharing abilities that require few resources, and its decentralized structure. We identified strategies that could be implemented to strengthen the network and its activities. By examining a national-level public-private partnership formed to address a public health issue, we can identify ways to strengthen the network and provide a framework for developing other initiatives.

Social Connectedness in Family Social Support Networks: Strengthening Systems of Care for Children with Special Health Care Needs.

Current approaches to addressing the problems families face when navigating complex service systems on behalf of their children rely largely on state or nationally driven efforts around the development of systems of care (SOCs). However, operationalizing meaningful family involvement within SOCs remains a challenge, with little attention paid to the role of personal social support networks (PSSNs). Specifically, risk factors related to the variations in the social connectedness of family social support networks are difficult to identify, assess, and track over time. This paper summarizes families' descriptions of their PSSNs and describes the development of a social network analysis tool, the Person-Centered Network App (PCNA), used to measure and monitor the social connectedness of families of children with special health care and developmental needs. Twenty-nine families participated in the project and completed social network surveys, identifying a total of 38 unique types of support partners and 230 partnerships (dyadic relationships). Families identified a range of formal and informal members including primary care providers, medical specialists, family, friends, faith-based organizations, insurance providers, nurses, community organizations, early interventionists, school resources, other families, online support groups, and public resources, rating 61 percent of them as "very important." Informal network members (e.g., family, friends) provided emotional and day-to-day support. Primary care providers, medical specialists, and public resources provided health care services while early intervention and medical specialists provided therapies. PSSNs were characterized by high levels of trust but low levels of coordination. These findings inform providers and case workers that families can readily describe their social connectedness in ways that may affect health care access and utilization. Understanding how PSSNs function in the lives of families of children with complex health care needs provides opportunities for improving systems of care (e.g., medical homes) and ultimately, enhancing health and developmental outcomes.

Evaluating Community Partnerships Addressing Community Resilience in Los Angeles, California.

Community resilience has grown in importance in national disaster response and recovery efforts. However, measurement of community resilience, particularly the content and quality of relationships aimed at improving resilience, is lacking. To address this gap, we used a social network survey to measure the number, type, and quality of relationships among organizations participating in 16 coalitions brought together to address community resilience in the Los Angeles Community Disaster Resilience project. These coalitions were randomized to one of two approaches (community resilience or preparedness). Resilience coalitions received training and support to develop these partnerships and implement new activities. Both coalition types received expert facilitation by a public health nurse or community educator. We also measured the activities each coalition engaged in and the extent to which partners participated in these activities at two time points. We found that the community resilience coalitions were initially larger and had lower trust among members than the preparedness communities. Over time, these trust differences dissipated. While both coalitions grew, the resilience community coalitions maintained their size difference throughout the project. We also found differences in the types of activities implemented by the resilience communities; these differences were directly related to the trainings provided. This information is useful to organizations seeking guidance on expanding the network of community-based organizations that participate in community resilience activities.

How Community and Public Health Partnerships Contribute to Disaster Recovery and Resilience.

OBJECTIVE: To summarize ways that networks of community-based organizations (CBO), in partnership with public health departments, contribute to community recovery from disaster. METHODS: The study was conducted using an online survey administered one and 2 years after Hurricane Sandy to the partnership networks of 369 CBO and the New York Department of Health and Mental Hygiene. The survey assessed the structure and durability of networks, how they were influenced by storm damage, and whether more connected networks were associated with better recovery outcomes. RESULTS: During response and recovery, CBOs provide an array of critical public health services often outside their usual scope. New CBO partnerships were formed to support recovery, particularly in severely impacted areas. CBOs that were more connected to other CBOs and were part of a long-term recovery committee reported greater impacts on the community; however, a partnership with the local health department was not associated with recovery impacts. CONCLUSION: CBO partners are flexible in their scope of services, and CBO partnerships often emerge in areas with the greatest storm damage, and subsequently the greatest community needs. National policies will advance if they account for the dynamic and emergent nature of these partnerships and their contributions, and clarify the role of government partners. (Disaster Med Public Health Preparedness. 2018;12:635-643).

Insights Into Collaborative Networks Of Nonprofit, Private, And Public Organizations That Address Complex Health Issues.

Community networks that include nonprofit, public, and private organizations have formed around many health issues, such as chronic disease management and healthy living and eating. Despite the increases in the numbers of and funding for cross-sector networks, and the growing literature about them, there are limited data and methods that can be used to assess their effectiveness and analyze their designs. We addressed this gap in knowledge by analyzing the characteristics of 260 cross-sector community health networks that collectively consisted of 7,816 organizations during the period 2008-15. We found that nonprofit organizations were more prevalent than private firms or government agencies in these networks. Traditional types of partners in community health networks such as hospitals, community health centers, and public health agencies were the most trusted and valued by other members of their networks. However, nontraditional partners, such as employer or business groups and colleges or universities, reported contributing relatively high numbers of resources to their networks. Further evidence is needed to inform collaborative management processes and policies as a mechanism for building what the Robert Wood Johnson Foundation describes as a culture of health.

Challenges and Innovations in Surveying the Governmental Public Health Workforce.

Surveying governmental public health practitioners is a critical means of collecting data about public health organizations, their staff, and their partners. A greater focus on evidence-based practices, practice-based systems research, and evaluation has resulted in practitioners consistently receiving requests to participate in myriad surveys. This can result in a substantial survey burden for practitioners and declining response rates for researchers. This is potentially damaging to practitioners and researchers as well as the field of public health more broadly. We have examined recent developments in survey research, especially issues highly relevant for public health practice. We have also proposed a process by which researchers can engage with practitioners and practitioner groups on research questions of mutual interest.

Contributions of Health Care Coalitions to Preparedness and Resilience: Perspectives From Hospital Preparedness Program and Health Care Preparedness Coalitions.

OBJECTIVE: The purpose of this article was to describe how the Hospital Preparedness Program (HPP) and other health care coalitions conceptualize and measure progress or success and to identify strategies to improve coalition success and address known barriers to success. METHODS: We conducted a structured literature review and interviews with key leaders from 22 HPPs and other coalitions. Interview transcripts were analyzed by using constant comparative analysis. RESULTS: Five dimensions of coalition success were identified: strong member participation, diversity of members, positive changes in members' capacity to respond to or recover from disaster, sharing of resources among members, and being perceived as a trendsetter. Common barriers to success were also identified (eg, a lack of funding and staff). To address these barriers, coalitions suggested a range of mitigation strategies (eg, establishing formal memoranda of agreement). Both dimensions of and barriers to coalition success varied by coalition type. CONCLUSIONS: Currently, the term health care coalition is a one-size-fits-all term. In reality, this umbrella term describes a variety of different configurations, member bodies, and capabilities. The analysis offered a typology to categorize health care coalitions by primary function during a disaster response. Developing a common typology that could be used to specify capabilities or functions of coalitions may be helpful to advancing their development.

Patterns in PARTNERing across Public Health Collaboratives.

Inter-organizational networks represent one of the most promising practice-based approaches in public health as a way to attain resources, share knowledge, and, in turn, improve population health outcomes. However, the interdependencies and effectiveness related to the structure, management, and costs of these networks represents a critical item to be addressed. The objective of this research is to identify and determine the extent to which potential partnering patterns influence the structure of collaborative networks. This study examines data collected by PARTNER, specifically public health networks (n = 162), to better understand the structured relationships and interactions among public health organizations and their partners, in relation to collaborative activities. Combined with descriptive analysis, we focus on the composition of public health collaboratives in a series of Exponential Random Graph (ERG) models to examine the partnerships between different organization types to identify the attribute-based effects promoting the formation of network ties within and across collaboratives. We found high variation within and between these collaboratives including composition, diversity, and interactions. The findings of this research suggest common and frequent types of partnerships, as well as opportunities to develop new collaborations. The result of this analysis offer additional evidence to inform and strengthen public health practice partnerships.

How to Identify Success Among Networks That Promote Active Living.

OBJECTIVES: We evaluated organization- and network-level factors that influence organizations' perceived success. This is important for managing interorganizational networks, which can mobilize communities to address complex health issues such as physical activity, and for achieving change. METHODS: In 2011, we used structured interview and network survey data from 22 states in the United States to estimate multilevel random-intercept models to understand organization- and network-level factors that explain perceived network success. RESULTS: A total of 53 of 59 "whole networks" met the criteria for inclusion in the analysis (89.8%). Coordinators identified 559 organizations, with 3 to 12 organizations from each network taking the online survey (response rate = 69.7%; range = 33%-100%). Occupying a leadership position (P < .01), the amount of time with the network (P < .05), and support from community leaders (P < .05) emerged as correlates of perceived success. CONCLUSIONS: Organizations' perceptions of success can influence decisions about continuing involvement and investment in networks designed to promote environment and policy change for active living. Understanding these factors can help leaders manage complex networks that involve diverse memberships, varied interests, and competing community-level priorities.

Network analysis of RE-AIM framework: chronology of the field and the connectivity of its contributors.

The reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework has been widely used for translational research. We used social network analysis (SNA) to explore how innovative research frameworks, such as RE-AIM, have diffused over time in academic literature. A structured literature review was conducted on RE-AIM between 1999 and 2012. SNA indices of degree score, betweenness, centrality, and authorship ties were used to examine use of RE-AIM. Use of RE-AIM has grown since its inception and spread from a few research centers to use internationally. Investigation of co-authorship revealed many have published on RE-AIM, but a much smaller core of RE-AIM researchers have published together two or more times. SNA revealed how the RE-AIM framework has been used over time and identified areas to further expand use of the framework. SNA can be useful to understand how research frameworks diffuse over time.

New perspectives on the "silo effect": initial comparisons of network structures across public health collaboratives.

OBJECTIVES: We explored to what extent "silos" (preferential partnering) persist in interorganizational boundaries despite advances in working across boundaries. We focused on organizational homophily and resulting silo effects within networks that might both facilitate and impede success in public health collaboratives (PHCs). METHODS: We analyzed data from 162 PHCs with a series of exponential random graph models to determine the influence of uniform and differential homophily among organizations and to identify the propensity for partnerships with similar organizations. RESULTS: The results demonstrated a low presence (8%) of uniform homophily among networks, whereas a greater number (30%) of PHCs contained varying levels of differential homophily by 1 or more types of organization. We noted that the higher frequency among law enforcement, nonprofits, and public health organizations demonstrated a partner preference with similar organizations. CONCLUSIONS: Although we identified only a modest occurrence of partner preference in PHCs, overall success in efforts to work across boundaries might be problematic when public health members (often leaders of PHCs) exhibit the tendency to form silos.

Implications of network structure on public health collaboratives.

Interorganizational collaboration is an essential function of public health agencies. These partnerships form social networks that involve diverse types of partners and varying levels of interaction. Such collaborations are widely accepted and encouraged, yet very little comparative research exists on how public health partnerships develop and evolve, specifically in terms of how subsequent network structures are linked to outcomes. A systems science approach, that is, one that considers the interdependencies and nested features of networks, provides the appropriate methods to examine the complex nature of these networks. Applying Mays and Scutchfields's categorization of "structural signatures" (breadth, density, and centralization), this research examines how network structure influences the outcomes of public health collaboratives. Secondary data from the Program to Analyze, Record, and Track Networks to Enhance Relationships (www.partnertool.net) data set are analyzed. This data set consists of dyadic (N = 12,355), organizational (N = 2,486), and whole network (N = 99) data from public health collaborations around the United States. Network data are used to calculate structural signatures and weighted least squares regression is used to examine how network structures can predict selected intermediary outcomes (resource contributions, overall value and trust rankings, and outcomes) in public health collaboratives. Our findings suggest that network structure may have an influence on collaborative-related outcomes. The structural signature that had the most significant relationship to outcomes was density, with higher density indicating more positive outcomes. Also significant was the finding that more breadth creates new challenges such as difficulty in reaching consensus and creating ties with other members. However, assumptions that these structural components lead to improved outcomes for public health collaboratives may be slightly premature. Implications of these findings for research and practice are discussed.

An Exploratory Analysis of Network Characteristics and Quality of Interactions among Public Health Collaboratives.

ABSTRACT: While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net) database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships), in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement. ACKNOWLEDGEMENTS: the authors would like to thank the Robert Wood Johnson Foundation's Public Health Program for funding for this research.

A systematic review of collaboration and network research in the public affairs literature: implications for public health practice and research.

OBJECTIVES: We explored and analyzed how findings from public affairs research can inform public health research and practice, specifically in the area of interorganizational collaboration, one of the most promising practice-based approaches in the public health field. METHODS: We conducted a systematic review of the public affairs literature by following a grounded theory approach. We coded 151 articles for demographics and empirical findings (n = 258). RESULTS: Three primary findings stand out in the public affairs literature: network structure affects governance, management strategies exist for administrators, and collaboration can be linked to outcomes. These findings are linked to priorities in public health practice. CONCLUSIONS: Overall, we found that public affairs has a long and rich history of research in collaborations that offers unique organizational theory and management tools to public health practitioners.