scholarly journals Community social network pattern analysis: Development of a novel methodology using a complex, multi-level health intervention

Author(s):  
Jean Butel ◽  
Kathryn L Braun ◽  
James Davis ◽  
Andrea Bersamin ◽  
Travis Fleming ◽  
...  

Community social networks (CSN) include individuals and groups, and those with strong partnerships and relationships are well situated for implementing community-based interventions. However, information on the nature of CSN relationships required for multilevel community-based interventions is not present in the literature. Using data from the multi-level Children’s Healthy Living (CHL) trial to reduce child obesity in nine Pacific communities, this study aimed to develop a methodology based on Social Network Analysis (SNA) to understand how CSN evolved over the course of a two-year trial, as well as the characteristics of CSN most successful in impacting indicators of childhood obesity. The two-year trial was considered in four six-month intervals. Within each interval, implemented activities, as recorded in CHL monthly reports, were coded by activity implementer(s), e.g. government agency, school, or community-based group, as well as for collective efficacy impact of the activity, e.g. to leverage resources from outside the CSN or to facilitate civic engagement. Coded data were used to create CSN maps for the four time intervals, and SNA techniques examined the CSN characteristics. CSN density increased over time, as measured by the number of ties within the network. Schools, community-based groups and large organizations were identified as the primary implementers of the CHL intervention and formed a community implementer backbone. Social leveraging, i.e. linking local groups to people with authority over outside resources, was shown to be a central component in intervention success. It took time to develop strong CSN, and stronger (denser) CSN were more successful in building social cohesion and enacting community change. Findings illustrate a methodology that can be useful for tracking the development and impact of CSN.

2019 ◽  
Vol 50 (1) ◽  
pp. 25-41
Author(s):  
Michael C Gearhart

Abstract Juvenile delinquency has a negative effect on victims, communities and the individual who commits a delinquent act. However, exposure to the juvenile justice system can be a traumatic event that results in further delinquency—highlighting a need to develop community-based interventions to prevent delinquency. Collective efficacy theory is a commonly used framework to prevent juvenile delinquency. Although community-level interventions have been developed based on collective efficacy, research suggests that they are limited in their effectiveness. This may be due to limitations in our conceptualisation of collective efficacy, and our limited understanding of how perceptions of collective efficacy differ between youths and parents. The present study utilises data from the Fragile Families Child Wellbeing Study to test parent and youth perceptions of collective efficacy as predictors of self-reported juvenile delinquency. The results indicate that—although collective efficacy is typically associated with lower levels of juvenile delinquency in neighbourhoods—neither parents’ nor youths’ perceptions of collective efficacy are strong predictors of self-reported juvenile delinquency. The findings suggest that focusing on youth, family and neighbourhood characteristics may maximise the effectiveness of interventions aimed at preventing juvenile delinquency.


2020 ◽  
pp. 107780121988917 ◽  
Author(s):  
Mimi E. Kim

Responding to the call to “shift the lens” and expand gender-based violence remedies beyond individualized direct services and law enforcement remedies, anti-violence providers have struggled to redefine and redirect intervention approaches. This implementation study leverages the framework of implementation science to investigate an exploratory statewide initiative based on the Creative Interventions model and aimed to build organizational and regional capacity to implement community-based or social network interventions within provider organizations. Using data from nine organizations, this mixed-methods study identifies factors related to implementation of this innovative approach including organizational motivation, capacity, and perceived needs related to adoption and implementation.


2021 ◽  
pp. 104973152098696
Author(s):  
Camilla Kin-Ming Lo ◽  
Yuet Wing Cho

Purpose: This review seeks to summarize selected literature on existing findings on the impacts of community-based interventions on the actual reduction of child maltreatment and to identify the core components of the interventions. Methods: This study systematically searched electronic databases, including PsycInfo, Medline, and Web of Science. The findings of the selected studies were summarized using narrative synthesis. Results: A total of four studies met the inclusion criteria of this study. The studies showed declines in child maltreatment incidences reported by child protective services and hospitals during the study periods. Four major components and approaches were identified among the selected interventions, including (1) the involvement of community members, (2) partnerships with community institutions, (3) multidisciplinary collaboration, and (4) responsiveness to the needs of the communities involved. Conclusions: The results of this review support the need for further development of community-based interventions using a hybrid approach.


2021 ◽  
pp. 146511652199845
Author(s):  
Jeffrey Nonnemacher

Since direct elections to the European Parliament began in 1979, variations in voting behavior in European Parliament elections from national elections have raised interesting questions about political behavior. I add to a growing literature that explores turnout in European Parliament elections by focusing on the count of national elections between European Parliament elections. Through a cross-national study of elections, I find that turnout decreases in the European Parliament contest following cycles with numerous national contests. Then, using data from the European Election Study, I argue that this is the result of frequent elections decreasing turnout particularly among already low interest voters who stay home. My findings have implications for how formal rules of multi-level elections shape political behavior more generally and voter fatigue in particular.


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