de Boer Nina S, Kostić Daniel, Ross Marcos, de Bruin Leon, Glas Gerrit
Department of Philosophy, Radboud University, Nijmegen, Netherlands.
Institute for Science in Society, Radboud University, Nijmegen, Netherlands.
Front Psychiatry. 2022 Sep 16;13:925187. doi: 10.3389/fpsyt.2022.925187. eCollection 2022.
In this paper, we explore the conceptual problems that arise when using network analysis in person-centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises , i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that perspectival reasoning can make more explicit what questions personalized network models can address in PCC, given their boundaries.
在本文中,我们探讨了在精神病学的以患者为中心的护理(PCC)中使用网络分析时出现的概念性问题。个性化网络模型可能是PCC的有用工具,但我们认为在精神病学实践中使用它们会引发,即划定模型中应包含和不应包含内容的问题,这可能会限制其提供临床相关知识的能力。模型可能有解释性和代表性边界等。我们认为,鉴于其边界,视角推理可以更明确个性化网络模型在PCC中可以解决哪些问题。