Fartacek Clemens, Schiepek Günter, Kunrath Sabine, Fartacek Reinhold, Plöderl Martin
Suicide Prevention Research Program, Paracelsus Medical UniversitySalzburg, Austria; Department of Suicide Prevention, University Clinic of Psychiatry and Psychotherapy, Christian Doppler ClinicSalzburg, Austria; Department of Clinical Psychology, Christian Doppler ClinicSalzburg, Austria; Institute of Synergetics and Psychotherapy Research, Paracelsus Medical UniversitySalzburg, Austria.
Institute of Synergetics and Psychotherapy Research, Paracelsus Medical University Salzburg, Austria.
Front Psychol. 2016 Feb 15;7:130. doi: 10.3389/fpsyg.2016.00130. eCollection 2016.
In recent years, a number of different authors have stressed the usefulness of non-linear dynamic systems approach in suicide research and suicide prevention. This approach applies specific methods of time series analysis and, consequently, it requires a continuous and fine-meshed assessment of the processes under consideration. The technical means for this kind of process assessment and process analysis are now available. This paper outlines how suicidal dynamics can be monitored in high-risk patients by an Internet-based application for continuous self-assessment with integrated tools of non-linear time series analysis: the Synergetic Navigation System. This procedure is illustrated by data from a patient who attempted suicide at the end of a 90-day monitoring period. Additionally, future research topics and clinical applications of a non-linear dynamic systems approach in suicidology are discussed.
近年来，许多不同的作者都强调了非线性动力系统方法在自杀研究和自杀预防中的有用性。这种方法应用了时间序列分析的特定方法，因此，它需要对所考虑的过程进行连续且细致的评估。现在已有用于这种过程评估和过程分析的技术手段。本文概述了如何通过基于互联网的应用程序，利用非线性时间序列分析的集成工具进行连续自我评估，从而对高危患者的自杀动态进行监测：协同导航系统。通过一名在90天监测期结束时试图自杀的患者的数据来说明这一过程。此外，还讨论了非线性动力系统方法在自杀学中的未来研究主题和临床应用。
