Using network analysis to assess the evolution of organizational collaboration in response to a major environmental health threat

Using the Community Engagement Framework to Understand and Assess EJ-Related Research Efforts

Within an environmental justice frame, capacity-building has been an important component of efforts to address health disparities at the policy, system, and environment levels. While the literature is replete with studies that discuss the necessity of collective action as a means to generate power to overcome inequities, limited attention has been given to the structure of these efforts to build capacity and challenge environmental injustices. This study applies the community engagement continuum as a framework for understanding the scope of capacity-building strategies and the manner in which research investigators engage with their intended target community. Paired teams of independent analysts screened articles for relevance (n = 8452), identified records for content abstraction (n = 163), and characterized relevant studies (n = 58). Many articles discussed community engagement as being either collaborative or shared leadership (n = 32, 55.2%). While the most commonly used capacity-building strategies were organizing/social action (58.6%) and CBPR (50%), few studies were able to make an environmental impact (n = 23; 39.7%), and fewer had a direct legislative policy-related outcome (n = 13; 22.4%). This review identifies levels of collaborative involvement and strategic approaches used for strengthening community capacity in efforts of making transformative policy, systems, and environmental change.

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.

Interorganizational network findings from a nationwide cardiovascular disease prevention initiative

OBJECTIVES

To use network analysis in order to evaluate the effectiveness of interorganizational networks in implementing policy, systems, and environmental interventions for cardiovascular disease prevention throughout the United States.

METHODS

Evaluators conducted an interorganizational network (ION) survey to examine information sharing and joint planning within organizational relationships in 15 community-based cardiovascular disease prevention partnership networks. Density and betweenness centrality scores at the node- and network-level were calculated for each partnership network using UCINET© network analysis software. Common data patterns were then extracted using a multiple case study format.

RESULTS

Network density scores ranged from 0.50 to 1.00 (M = 0.84, SD = 0.14) for information sharing and 0.43-1.00 (M = 0.77, SD = 0.15) for joint planning. Centralization indices ranged from 0.00 to 0.11 (M = 0.04, SD = 0.03), and 0.00-0.17 (M = 0.06, SD = 0.05), respectively. Overall, 73.33 % of communities were successful in meeting their partnership goals.

CONCLUSIONS

When planning and implementing interorganizational networks, high betweenness centrality and more hierarchically structured networks were identified as the most salient partnership characteristics to programmatic success. The network findings were triangulated with previously published qualitative data to provide context. These findings provide valuable insight on how national networks can be designed and leveraged to implement systematic community health projects.

Using social network and stakeholder analysis to help evaluate infectious waste management: a step towards a holistic assessment

Assessing the strengths and weaknesses of a solid waste management scheme requires an accurate analysis and integration of several determining features. In addition to the technical aspects, any such system shows a complex interaction of actors with varying stakes, decision-making power and influence, as well as a favourable or disabling environment. When capitalizing on the knowledge and experience from a specific case, it is also crucial that experts do not "forget" or underestimate the importance of such social determinants and that they are familiar with the methods and tools to assess them. Social network analysis (SNA) and stakeholder analysis (SA) methods can be successfully applied to better understand actors' role and actions, analyse driving forces and existing coordination among stakeholders, as well as identify bottlenecks in communication which affect daily operations or strategic planning for the future way forward. SNA and SA, appropriately adjusted for a certain system, can provide a useful integration to methods by assessing other aspects to ensure a comprehensive picture of the situation. This paper describes how to integrate SNA and SA in order to survey a solid waste management system. This paper presents the results of an analysis of On-Nuch infectious waste incinerator in Bangkok, Thailand. Stakeholders were interviewed and asked to prioritize characteristics and relationships which they consider particularly important for system development and success of the scheme. In such a way, a large quantity of information about organization, communication between stakeholders and their perception about operation, environmental and health impact, and potential alternatives for the system was collected in a systematic way. The survey results suggest that stakeholders are generally satisfied with the system operation, though communication should be improved. Moreover, stakeholders should be strategically more involved in system development planning, according to their characteristics, to prevent negative reactions.