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Social network diagnostics: a tool for monitoring group interventions

机译：社交网络诊断：监视小组干预的工具

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Background Many behavioral interventions designed to improve health outcomes are delivered in group settings. To date, however, group interventions have not been evaluated to determine if the groups generate interaction among members and how changes in group interaction may affect program outcomes at the individual or group level. Methods This article presents a model and practical tool for monitoring how social ties and social structure are changing within the group during program implementation. The approach is based on social network analysis and has two phases: collecting network measurements at strategic intervention points to determine if group dynamics are evolving in ways anticipated by the intervention, and providing the results back to the group leader to guide implementation next steps. This process aims to initially increase network connectivity and ultimately accelerate the diffusion of desirable behaviors through the new network. This article presents the Social Network Diagnostic Tool and, as proof of concept, pilot data collected during the formative phase of a childhood obesity intervention. Results The number of reported advice partners and discussion partners increased during program implementation. Density, the number of ties among people in the network expressed as a percentage of all possible ties, increased from 0.082 to 0.182 (p??0.05) in the discussion network. Conclusions The observed two-fold increase in network density represents a significant shift in advice partners over the intervention period. Using the Social Network Tool to empirically guide program activities of an obesity intervention was feasible.
机译：背景技术许多旨在改善健康状况的行为干预都是在小组环境中进行的。但是，迄今为止，尚未评估小组干预措施以确定小组是否在成员之间产生互动，以及小组互动的变化如何影响个人或小组级别的计划结果。方法本文提供了一个模型和实用工具，用于监视在计划实施过程中小组中社会联系和社会结构的变化。该方法基于社交网络分析，分为两个阶段：在战略干预点收集网络测量值，以确定小组动态是否以干预预期的方式发展，并将结果提供给小组负责人以指导下一步实施。此过程旨在最初增加网络连接性，并最终通过新网络加速所需行为的传播。本文介绍了社交网络诊断工具以及作为概念证明的儿童肥胖干预形成阶段收集的试验数据。结果在计划实施期间，报告的咨询合作伙伴和讨论合作伙伴的数量有所增加。讨论网络中人与人之间的联系数量（占所有可能联系的百分比）从0.082增至0.182（p ?? 0.05）。结论观察到的网络密度的两倍增长表示在干预期间咨询合作伙伴发生了重大变化。使用社交网络工具经验性地指导肥胖干预的计划活动是可行的。

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