Abstract：
The network approach to psychopathology, which assesses associations between individual symptoms, has recently been applied to evaluate treatments for mental disorders. While various options for conducting network analyses in intervention research exist, an overview and an evaluation of the various approaches are currently missing. Therefore, we conducted a review on network analyses in intervention research. Studies were included if they constructed a symptom network, analyzed data that were collected before, during or after treatment of a mental disorder, and yielded information about the treatment effect. The 56 included studies were reviewed regarding their methodological and analytic strategies. About half of the studies based on data from randomized trials conducted a network intervention analysis, while the other half compared networks between treatment groups. The majority of studies estimated cross-sectional networks, even when repeated measures were available. All but five studies investigated networks on the group level. This review highlights that current methodological practices limit the information that can be gained through network analyses in intervention research. We discuss the strength and limitations of certain methodological and analytic strategies and propose that further work is needed to use the full potential of the network approach in intervention research.
摘要：
精神病理学的网络方法，评估个体症状之间的关联，最近已被用于评估精神障碍的治疗方法。虽然存在各种在干预研究中进行网络分析的选择，目前缺少对各种方法的概述和评估。因此,我们对干预研究中的网络分析进行了综述.如果研究建立了症状网络，分析了之前收集的数据，在治疗精神障碍期间或之后，并获得了有关治疗效果的信息。对纳入的56项研究进行了方法学和分析策略的回顾。大约一半的研究基于随机试验的数据进行了网络干预分析，而另一半比较了治疗组之间的网络。大多数研究估计了横截面网络，即使有重复的措施。除五项研究外，其他所有研究都在小组层面上调查了网络。这篇综述强调，当前的方法学实践限制了通过干预研究中的网络分析可以获得的信息。我们讨论了某些方法论和分析策略的优势和局限性，并提出需要进一步的工作才能在干预研究中充分利用网络方法的潜力。
