Dataset Information

Using Longitudinal Social Network Analysis to Evaluate a Community-Wide Parenting Intervention.

ABSTRACT: Harsh parenting attitudes and behaviors negatively impact children's behavior and development, and are linked to heightened levels of violence in children. Parent training programs are effective preventive interventions, but only reach caregivers who attend them. In this study, programs were implemented alongside a community mobilization process, intended to use caregivers' social networks to disseminate new parenting skills community wide. We used social network analysis to explore whether this intervention, first, increased positive parenting, second, changed social networks of female caregivers (selection), and, third, influenced parenting behavior via connections (socialization), while controlling for psychiatric morbidity, parenting stress, alcohol misuse, and child's age. "Colored" Afrikaans-speaking female caregivers (N?=?235; mean age 35.92 years) in a rural community in South Africa, with children between 1½ and 18 years old, were included in the study; two waves of data were collected (January-April 2016 and June-October 2017). We detected community-wide increases in positive parenting behavior (involvement, supervision, consistent discipline, and reduced corporal punishment). Attending at least one session of a parenting skills training program (n?=?51; 21.7%) significantly predicted increases in network centrality (i.e., outdegree and indegree). Caregivers appeared to use similar parenting behavior to other caregivers they were connected to within the network, especially when those others attended a parenting skills training program. Overall, the results suggest that the information in the intervention was spread throughout the community through social interactions with program attendees and the community mobilization process. The results also illustrate the value of social network analysis for ascertaining the processes by which the intervention achieved its impact.

SUBMITTER: Kleyn LM

PROVIDER: S-EPMC7762743 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Using Longitudinal Social Network Analysis to Evaluate a Community-Wide Parenting Intervention.

Kleyn Lisa M LM Hewstone Miles M Ward Catherine L CL Wölfer Ralf R

Prevention science : the official journal of the Society for Prevention Research 20201119 1

Harsh parenting attitudes and behaviors negatively impact children's behavior and development, and are linked to heightened levels of violence in children. Parent training programs are effective preventive interventions, but only reach caregivers who attend them. In this study, programs were implemented alongside a community mobilization process, intended to use caregivers' social networks to disseminate new parenting skills community wide. We used social network analysis to explore whether this ...[more]

PMID: 33211255

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Project description:BackgroundIn 2012 and 2013, we conducted a social network survey of a new translational research network (TRN) designed to deliver better care to cancer patients. Results of these two surveys showed that silos of researchers and clinicians existed before the TRN was established but that the network had mediated collaborative relationships. This paper reports on a third social network survey of the TRN and focusses on the structure of the collaborative arrangements among members.MethodsMembers of the TRN were invited to complete an on-line, whole network survey in May 2015. The survey asked respondents to identify personal impacts, outputs and wider outcomes attributable to their TRN membership. The final question asked respondents to select the name of TRN members with whom they had collaborated either formally or informally. For each member nominated, they were asked to say whether they had known this person before joining the TRN.ResultsResponse rate was 70 %. Over 4 years, the TRN has grown in size from 68 to 244 members. Relationships within and across the TRN have become more collaborative and interactive, with 1658 collaborative ties between members and over 40 % of ties with people unknown to participants before they joined the TRN. This points to a well-functioning network which has retained its focus on the original goals of the TRN and has fostered collaboration between researchers, clinicians, managers, consumers and TRN operational staff. This survey shows that the TRN's impact goes beyond outcomes from formal TRN-funded projects. About one third of respondents could list projects not directly funded by the TRN but which are attributed to TRN membership. Examples of practice change brought about through the TRN were given by 77 % of respondents. A substantial risk factor for the future is the high levels of dependency on key or central TRN participants.ConclusionsThe structure of the TRN with its active central actors and brokers has been able to foster collaboration on implementation initiatives that result in practice change. The role of a social professional network in driving this collaboration is shown.

Project description:BackgroundLittle is known about the social learning of students within community-based clinical placements and ways in which it can be supported. In an allied health service-learning program, we analysed students' learning relationships to quantify what, and from whom students learnt.MethodsWe conducted a social learning network survey in four domains of learning (clinical knowledge, procedural skills, professional development, and complex determinants of health) to explore learning relationships (ties) with other people (alters) that students (egos) formed during their placement. We quantified how different roles (supervisors, health professionals, administrators, peers, schoolteachers, and clients) contributed to the students' learning in each of the four domains. We used exponential random graph models (ERGMs) to test which relational processes contributed to the structure of the observed learning networks.ResultsData was available from a complete cohort of 10 students on placement in a network of 69 members, thus providing information on 680 potential learning relations. Students engaged in similar ways in the domains of clinical knowledge, procedural skills, and professional development. Learning relations with academic supervisors were significantly more likely. Also students reported reciprocal learning relations with peers - i.e. they formed learning pairs. This effect was absent in learning networks about complex determinants of health (including socio-economic and cultural factors). Instead, local administrative staff were significantly more often the source of learning about the local contextual factors.ConclusionsUnderstanding the structure of student learning networks through social network analysis helps identify targeted strategies to enhance learning in community-based service-learning programs. Our findings suggest students recognised important learning from each other and from administrative personnel that is unrelated to the content of their placement. Based on this insight clinical educators could prepare students to become agentic learners, learning with each other and from sources outside their program.

Project description:OBJECTIVE:Currently, use of social networking services (SNSs) for interprofessional collaboration is increasing. However, few studies have reported on virtual interprofessional interactions in community healthcare services. Revealing such structural characteristics of the networks can provide insight into the functions of the interprofessional information-sharing network and lead to smoother collaboration. Thus, we aimed to explore the structure of SNS-based information-sharing clinical networks. DESIGN:Social network analysis (SNA). SETTING:We selected a community in City X in Japan. DATA COLLECTION:We analysed SNS-based information-sharing clinical network data linked to patients receiving home medical care or care services between January and December 2018. A network was created for each patient to allow healthcare professionals to post and view messages on the web platform. In the SNA, healthcare professions registered in a patient group were represented as nodes, and message posting/viewing relationships were represented as links in the patient network. We investigated the structural characteristics of the target networks using several measures for SNA, including indegree centrality and outdegree centrality, which reflect the number of incoming and outgoing links to/from a node, respectively. Additionally, the professions forming the most central nodes were investigated based on their ranking to identify those with a central role in the networks. Finally, to compare the networks of nursing care levels 1-3 (lighter care requirement) and those with nursing care levels 4-5 (heavier care requirement), we analysed the structural differences in the networks and investigated the roles of healthcare professionals using centrality measures of nodes. RESULTS:Among 844 groups, 247 groups with any nursing care level data were available for analysis. Increasing nursing care level showed higher density, reciprocity and lower centralisation. Healthcare professions with high indegree centrality (physicians, care workers and physical therapists) differed from those with high outdegree centrality (home care workers, physical therapists, and registered dieticians). Visiting nurses and nurses in the clinic played a central role, but visiting nurses tended to have higher indegree and outdegree centrality, while nurses in the clinic had higher closeness and betweenness centrality in networks with heavier care requirement. CONCLUSION:The SNS-based information-sharing clinical network structure showed that different professions played some form of a central role. Associations between network structures and patient outcomes, cost effectiveness and other factors warrant further investigation.

Dataset Information

Using Longitudinal Social Network Analysis to Evaluate a Community-Wide Parenting Intervention.

Publications

Using Longitudinal Social Network Analysis to Evaluate a Community-Wide Parenting Intervention.

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