Reframing coalitions as systems interventions: a network study exploring the contribution of a youth violence prevention coalition to broader system capacity

Alliance-building for equity and justice: An inter-organizational perspective

Cultivating alliances between specific sectors or fields with unrealized synergies is a promising strategy for systems change. Social network analysis is a useful tool for assessing whether such alliances build relationships between these previously disparate organizations. Two waves of valued network data were collected from the members (N = 25) of a justice system reform coalition composed of two types of community-based organizations: those involved in restorative justice practice and those involved in grassroots community organizing. Social network homophily analyses were employed to characterize the impact of alliance participation on relationships over time across three domains: working together, doing impactful work together, and sharing a philosophy about justice system reform. Results indicate marked increases in the prevalence of relationships between restorative justice and community organizing organizations across all domains, with the greatest increases occurring in perceptions of shared philosophy. Network structures at each time point differed by relational domain and organization type. Findings suggest that the alliance strengthened relationships between restorative justice and community organizing organizations, particularly in perceptions of shared philosophy, but that the magnitude of these changes varied depending on pre-existing interorganizational relationships and organization type. Findings challenge the idea that close working relationships between diverse members is critical to coalition effectiveness, pointing instead to the value of ambidextrous networks and alignment in members' philosophy and vision.

From parts to whole: Embracing systems science in community psychology

With our field's strong focus on context for understanding and acting on social problems, community psychologists have frequently elevated the importance of employing systems thinking and methods that help us to understand systems more effectively. As a result, community psychologists have adopted some methods from the interdisciplinary field of systems science. In this virtual special issue, we will compare how several of these approaches have been used in publications in the AJCP in the last 50 years. We identify differences in their popularity, implementation with communities, and how they create generative discussion in the field. We conclude by looking to the future to explore ways community psychology can deepen engagement with methods from systems science.

Organizational and coalition strategies for youth violence prevention: A longitudinal mixed-methods study

This longitudinal study identifies espoused change orientations and actual youth violence prevention (YVP) practices over five years by 99 public and nonprofit organizations in one city. Annual key informant interviews provided both qualitative and quantitative data, including organizational collaborative network data. Data were also obtained on participation in a citywide YVP coalition, juvenile arrests and court referrals. On average, organizations both in and outside the coalition adopted a problem-focused as often as a strengths-based change orientation, and were only marginally more oriented toward empowering community members than professionals and changing communities than individual youth. Most surprisingly, YVP coalition members adopted more of a tertiary (reactive/rehabilitative) than primary prevention orientation compared to nonmembers. The number of different YVP strategies implemented increased over five years from mainly positive youth development and education interventions to those strategies plus mentoring, youth activities, events and programs, and counseling youth. Network analysis reveals dense initial collaboration with no critical gatekeepers and coalition participants more central to the city-wide organizational network. Coalition participation and total network collaboration declined in Years 3-5. Youth violence arrests and court referrals also declined. The coalition was marginally involved in successful community-collaborative, school-based interventions and other strategies adopted, and it disbanded a year after federal funding ended. Despite, or possibly due to, both national and local government participation, the coalition missed opportunities to engage in collective advocacy for local YVP policy changes. Coalitions should help nonprofit and public organizations develop more effective change orientations and implement commensurate strategies at the community level.

Developing a typology of network alteration strategies for implementation: a scoping review and iterative synthesis

BACKGROUND

Social networks transmit knowledge, influence, and resources. These relationships among patients, professionals, and organizations can shape how innovations are disseminated, adopted, implemented, and sustained. Network alteration interventions-interventions that change or rewire social networks-have the potential to be used as implementation strategies. Yet, the types, mechanisms, and effectiveness of these interventions for implementation are unclear. This scoping review and iterative synthesis identified and described network alteration strategies that could be tested for implementation.

METHODS

We used forward and backward citation tracking of influential articles on network interventions, bibliometric searches, and hand searches of peer-reviewed social network journals. At least two team members screened article titles/abstracts to identify studies that met inclusion criteria: empirical studies of an intervention, the intervention was designed to alter some element of a social network, and changes in social network metrics were measured at two or more time points. During full-text reviews, information about the network interventions, actors, ties, and main findings was extracted. Reporting was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). To develop our typology, we synthesized these results using an iterative team-based and consensus-building process.

RESULTS

Fifty-three articles met the inclusion criteria. The interventions described were conducted in healthcare systems or behavioral health systems (34%), communities (26.4%), and schools (22.6%). The majority included records describing interventions designed to alter social support, information-sharing, or friendship networks (65%) among individual actors (84.9%), or to increase ties. Eight strategies emerged. Three strategies targeted the general context: (1) change the environment, (2) create groups, and (3) change the composition. Four strategies targeted individual actors: change (4) motivations, (5) skills for networking, (6) knowledge of one's social network, and (7) prominence/roles. One strategy (8) targeted specific ties within the network (targeting a particular pair-wise relationship or changing the nature of an existing tie).

CONCLUSION

The network alteration strategies in this typology provide further operational specificity for how implementation strategies target relationships. Advancing these strategies will require greater theoretical specification, the development of strategies that target professionals and organizations, and studies that examine the impact on implementation outcomes.

Understanding Prevention Networks in a Local Government Area: Insights From a Social Network Analysis Among Western Australian Nutrition, Physical Activity, and Obesity Prevention Programs

This study aimed to use systems thinking tools to understand network relationships to inform discussions, policy, and practice to improve nutrition, physical activity, and overweight/obesity prevention activities in a Western Australian local government area. An audit of nutrition, physical activity, and obesity prevention activities was conducted, and identified organizations were invited to participate in an organizational network survey. Social network analysis (SNA) determined the extent to which organizations shared information, knowledge, and resources; engaged in joint program planning; applied for and shared funding; and identified operational barriers and contributors. SNA data were mapped and analyzed using UCINET 6 and Netdraw software. Five organizations within the network were identified as core; the remainder were periphery. The strongest networks were sharing information, and the weakest was funding. The connections were centralized to one organization, enabling them to readily influence other organizations and network operations. Remaining organizations indicated limited partnership across the networks. Strengthened collaborations and partnerships are essential to health promotion, as they extend reach and organizational capabilities. This study provides a process for undertaking network analysis, identifying leverage points to facilitate communication and information sharing, and reorienting of collaborations and partnerships to consolidate scarce resources and act strategically within a bounded area. There is a need for stronger relationships between organizations and a reorientation of partnerships to facilitate resource sharing within the local government area, to improve nutrition, physical activity, and obesity prevention practices. SNA can assist in understanding organizational prevention networks within a bounded area to support future planning of practices and policy.

Tracing coalition changes in knowledge in and engagement with childhood obesity prevention to improve intervention implementation

BACKGROUND

While most coalition research focuses on studying the effects of peer relationship structure, this study examines the coevolution of coalition structure and behavior across three communities in the U.S. with the goal of identifying coalition dynamics that impact a childhood obesity prevention intervention.  METHODS: Over two years (2018-2020), three communities within the U.S. participated in a childhood obesity prevention intervention at different times. This intervention was guided by the Stakeholder-Driven Community Diffusion theory, which describes an empirically testable mechanism for promoting community change. Measures are part of the Stakeholder-driven Community Diffusion (SDCD) survey with demonstrated reliability, which include knowledge of and engagement with childhood obesity prevention and social networks. Data from three coalition-committees and their respective networks were used to build three different stochastic actor-oriented models. These models were used to examine the coevolution of coalition structure with coalition behavior (defined a priori as knowledge of and engagement with obesity prevention) among coalition-committee members and their nominated alters (Network A) and coalition-committee members only (Network B).  RESULTS: Overall, coalitions decrease in size and their structure becomes less dense over time. Both Network A and B show a consistent preference to form and sustain ties with those who have more ties. In Network B, there was a trend for those who have higher knowledge scores to increase their number of ties over time. The same trend appeared in Network A but varied based on their peers' knowledge in and engagement with childhood obesity prevention. Across models, engagement with childhood obesity prevention research was not a significant driver of changes in either coalition network structure or knowledge.

CONCLUSIONS

The trends in coalition Network A and B's coevolution models may point to context-specific features (e.g., ties among stakeholders) that can be leveraged for better intervention implementation. To that end, examining tie density, average path length, network diameter, and the dynamics of each behavior outcome (i.e., knowledge in and engagement with childhood obesity prevention) may help tailor whole-of-community interventions. Future research should attend to additional behavioral variables (e.g., group efficacy) that can capture other aspects of coalition development and that influence implementation, and to testing the efficacy of network interventions after trends have been identified.

Using social network analysis as a tool in action research

The following paper presents case examples of one research team's use of social network analysis (SNA) with three different collaboratives in South Florida: (a) a Collective Impact initiative seeking to end youth homelessness, (b) a university collaborative of campus organizations working towards Black students' concerns, and (c) a movement network of local social justice organizations. The research team used SNA to assess the level of connectivity of three different community coalitions. While research questions were slightly different for each collaborative, each project asked about the frequency of communication between organizations to determine connectivity. Results vary between case examples. Both the Youth Homeless Collaboration and the Black Student Association used Gephi to analyze results, while The Community Partnership used R to measure network centrality. The paper concludes with a general discussion of challenges related to using SNA as an action research tool, as well as the role of power in organizational networks.

United for health to improve urban food environments across five underserved communities: a cross-sector coalition approach

Background

Cross-sector coalitions can be a powerful vehicle to promote adoption and implementation of evidence-based programs and policies across diverse racial/ethnic communities with a high chronic disease burden. Few studies have examined coalition composition, function, or capacity to promote learning among members.

Methods

We used a mixed methods approach to examine the United for Health coalition’s implementation of multiple food environment interventions across five low-income communities of color in Los Angeles, California (USA). At the coalition-level, key measures included the collaborative environment, membership characteristics, process and structure, communication, resources, strengths, challenges/barriers, and community impact. At the organizational- and individual-levels, we collected data on participation, leadership development, intraorganizational change, perceived benefits, and learning outcomes.

Findings

Overall, the United for Health coalition produced five community gardens, three pop-up produce markets, and one farmers’ market; members also expanded Electronic Benefits Transfer (EBT) access at three existing farmers’ markets. Findings indicate early coalition strengths included having a mutual purpose, which was maintained throughout the study period. Coalition participation and engagement was consistently high, while coalition and inter-organizational communication improved over time. Strengths were membership diversity and the availability of learning opportunities. Benefits included leadership development and strategic alignment across organizations. Members demonstrated an increased awareness of the importance of culturally adapted interventions and knowledge of community health planning topics. Key implementation challenges were a lack of resources and social context barriers.

Conclusions

Examining coalition function and maturation in a real-world context reveals important lessons for scholars and practitioners committed to addressing nutrition-related health disparities in marginalized and historically underserved communities. Future work should investigate the sustainability of externally funded cross-sector coalitions after funding ceases.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13245-2.

Understanding the Development, Evaluation, and Sustainability of Community Health Networks Using Social Network Analysis: A Scoping Review

OBJECTIVE

Identify the scope of the literature which reports use of social network analysis to inform, support, or evaluate health promotion-focused community network/partnership development.

DATA SOURCE

A comprehensive search (not date-limited) of PubMed, CINAHL, Web of Science Core Collection, PsycInfo, and the Cochrane Library Database for Systematic Reviews.

INCLUSION AND EXCLUSION CRITERIA

Criteria for inclusion included published in the English language and used social network analysis to inform, support, or evaluate development of community networks/partnerships aiding health promotion efforts. Studies were excluded if they did not use social network analysis or were not focused upon health promotion.

DATA EXTRACTION

Three of the four authors extracted data using a summary chart to document information regarding study aims, target issue/population, methods, and key outcomes of the social network analysis.

DATA SYNTHESIS

The extracted data were qualitatively analyzed by 3 authors to categorize key social network analysis outcomes into categories.

RESULTS

Ninety-seven studies representing 9 geographical regions were included, with the majority (69) published after 2010. Key outcomes included the effectiveness of social network analysis to identify network characteristics, track network change over time, compare similar networks across locations, and correlate network attributes with outcomes.

CONCLUSION

Findings support the utility of social network analysis to inform, support, and evaluate development of sustainable health promotion-focused networks/partnerships.

Coalition-Committees as Network Interventions: Baseline Network Composition in Context of Childhood Obesity Prevention Interventions

Community coalitions can address local issues with deep, historic, and contextual understanding that enables customized implementation of evidence-based strategies. The individuals within the coalition, their partnerships, and the social context is likely an important component of unraveling the challenges of implementation so interventions reach people in need. We focus on the relevance of baseline coalition-committee network (CCN), the networks of purposely formed subcommittees within community coalitions, structure as one of the moderating, theoretical links between community coalition social networks and intervention success. We explore the baseline composition and characteristics of five CCNs at the beginning of childhood obesity prevention interventions. Using a combination of social network, multidimensional scaling, and correspondence analyses, we examine the structure and heterogeneity of five CCNs, each consisting of a core group of stakeholders in the coalition and sometimes the broader community itself. Cross-sectional analyses are used to examine the composition of coalition-committees related to network density, centralization, hierarchy, and coalition demographics and characteristics. Results indicate that CCNs are patterned in their structure and characteristics, and we discuss whether adjustments to childhood obesity prevention interventions according to baseline structure and characteristics could be advantageous for intervention implementation. Together, these findings can inform future longitudinal investigations into CCN network structure.

Evolution of a Coalition Network during a Whole-of-Community Intervention to Prevent Early Childhood Obesity

Background: Community coalitions often lead and coordinate "whole-of-community" childhood obesity prevention interventions. A growing body of work suggests that coalition network ties, which facilitate transmission of information and advocacy, may be a key part of how such leadership operates. This study provides an understanding of the structure of coalition networks and how this structure changes over time. Methods: We administered semiannual network surveys during a pilot whole-of-community intervention in Somerville, MA (2015-2017). Participants included 16 multisector coalition members and their nominated discussion partners ("first-degree alters") related to childhood obesity prevention. Coalition and first-degree alter respondents named up to 20 discussion partners and reported ties' interaction frequency and perceived influence. Networks were assessed with visualization, descriptive analysis, and exponential random graph models. Results: Total network included 558 stakeholders representing community-based organizations, parents, health care, childcare, universities, among others. Size and membership varied over time. We observed the largest network (n = 256) during intervention planning, and the largest proportion of stakeholders communicating frequently (daily/weekly) about childhood obesity prevention during the peak intervention period. Networks were sparsely interconnected (1%-3% of possible ties observed) and most and least centralized at baseline and follow-up, respectively. Over time, ties were increasingly perceived as influential and siloed within community groups. Conclusions: The network's extensive evolving membership may indicate access to a wide range of resources, ideas, and an ability to broadly disseminate intervention messages. The attenuating network hierarchy over time may have supported more equal participation and control over intervention efforts. Future research should assess generalizability of network patterns, network influences on implementation processes, and possible network interventions.

Networks for prevention in 19 communities at the start of a large-scale community-based obesity prevention initiative

Community-based obesity prevention efforts are dependent on the strength and function of collaborative networks across multiple community members and organizations. There is little empirical work on understanding how community network structure influences obesity prevention capacity. We describe network structures within 19 local government communities prior to a large-scale community-based obesity prevention intervention, Healthy Together Victoria, Australia (2012-2015). Participants were from a large, multi-site, cluster randomized trial (cRCT) of a whole-of-systems chronic disease prevention initiative. Community leaders from 12 intervention and seven comparison (non-intervention) regions identified and described their professional networks in relation to dietary, physical activity, and weight status among young children (<5 years of age). Social network measures of density, modularity, clustering, and centrality were calculated for each community. Comparison of means and tests of association were conducted for each network relationship. One-hundred and seven respondents (78 intervention; 29 comparison) reported on 996 professional network relationships (respondent average per region: 10 intervention; 8 comparison). Networks were typically sparse and highly modular. Networks were heterogeneous in size and relationship composition. Frequency of interaction, close and influential relationships were inversely associated with network density. At baseline in this cRCT there were no significant differences between community network structures of key actors with influence over environments affecting children's diet and physical activity. Tracking heterogeneity in both networks and measured outcomes over time may help explain the interaction between professional networks and intervention effectiveness of community-based obesity prevention.

Network Analysis in Community Psychology: Looking Back, Looking Forward

Network analysis holds promise for community psychology given the field's aim to understand the interplay between individuals and their social contexts. Indeed, because network analysis focuses explicitly on patterns of relationships between actors, its theories and methods are inherently extra-individual in nature and particularly well suited to characterizing social contexts. But, to what extent has community psychology taken advantage of this network analysis as a tool for capturing context? To answer these questions, this study provides a review of the use network analysis in articles published in American Journal of Community Psychology. Looking back, we describe and summarize the ways that network analysis has been employed in community psychology research to understand the range of ways community psychologists have found the technique helpful. Looking forward and paying particular attention to analytic issues identified in past applications, we provide some recommendations drawn from the network analysis literature to facilitate future applications of network analysis in community psychology.