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体育活动促进中的组织间网络:系统评价。

Interorganizational Networks in Physical Activity Promotion: A Systematic Review.

机构信息

Mental mHealth Lab, Chair of Applied Psychology, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.

Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.

出版信息

Int J Environ Res Public Health. 2021 Jul 8;18(14):7306. doi: 10.3390/ijerph18147306.

Abstract

Public health challenges such as physical inactivity are multiplex and cannot be effectively addressed by single organizations or sectors. For this reason, public health policies have to involve various sectors and foster partnerships among organizations. Social network analysis (SNA) provides a methodological toolkit that enables the investigation of relationships between organizations to reveal information about the structure and cooperation within networks. This systematic review provides an overview of studies utilizing SNA to analyze the structure of networks that promote physical activity, including the structural set-up, types, and conditions of cooperation, the existence or absence of key actors, the characteristics of organizations working together, and potential barriers limiting collaboration. In total, eight eligible studies were identified. To evaluate the quality of these studies, a quality assessment tool for SNA was created. Relevant aspects from each study were systematically outlined using a data extraction template developed for network studies. The studies reported low to moderate density scores with many ties not being realized. Organizations tend to work side by side than as real partners, whereas organizations of the same type are more strongly connected. Most of the studies identified governmental health organizations as key players in their networks. Network maturity influences network outcomes. Shared goals and geographic proximity are potential facilitators for network development. For future research, more sophisticated methods and longitudinal studies are required to describe how networks, with the aim of promoting physical activity, develop and change to identify predicting factors for an effective network structure.

摘要

公共卫生挑战,如身体活动不足,是多方面的,不能由单一组织或部门有效解决。因此,公共卫生政策必须涉及各个部门,并促进组织之间的伙伴关系。社会网络分析(SNA)提供了一个方法工具箱,使我们能够调查组织之间的关系,以揭示有关网络结构和合作的信息。本系统评价概述了利用 SNA 分析促进身体活动的网络结构的研究,包括结构设置、合作的类型和条件、关键行为者的存在或缺失、共同工作的组织的特征以及限制合作的潜在障碍。总共确定了八项合格的研究。为了评估这些研究的质量,创建了一个用于 SNA 的质量评估工具。使用为网络研究开发的数据提取模板,系统地概述了每个研究的相关方面。这些研究报告的密度得分低至中等,许多联系没有实现。组织倾向于并肩工作,而不是真正的合作伙伴,而同一类型的组织之间的联系更紧密。大多数研究确定政府卫生组织是其网络中的关键参与者。网络成熟度影响网络结果。共同目标和地理接近性是网络发展的潜在促进因素。对于未来的研究,需要更复杂的方法和纵向研究来描述旨在促进身体活动的网络如何发展和变化,以确定有效网络结构的预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e35b/8306254/061b94ea8295/ijerph-18-07306-g001.jpg

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