DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy.
DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy.
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DOI：
10.2196/medinform.6808
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发表时间：
2017-07-20
影响因子：
3.2
通讯作者：
Laireiter AR
中科院分区：
文献类型：
--
作者：
Kaiser T;Laireiter AR
近年来，精神障碍的评估变得越来越个性化。现代技术的进步，如支持互联网的移动电话和计算能力的提高，使人们有可能利用长期以来精神卫生从业人员无法获得的信息来源。结合基于算法的治疗计划、过程监测和结果监测的软件包很少。本研究的目的是评估DynAMo Web应用程序是否可以通过提供一个软件解决方案来填补这一空白，该软件解决方案可以被研究人员用于进行最先进的心理治疗过程研究，也可以被临床医生用于计划治疗和监控心理治疗过程。在本文中，我们报告了一个Web应用程序的当前状态，该应用程序可以使用有关其时间和同步关联的信息来评估精神障碍的时间结构。治疗计划算法自动解释数据，并向医生提供症状的优先级评分。该应用程序还能够在治疗期间监测心理治疗过程和监测治疗结果。该应用程序是使用R编程语言（R Core Team, Vienna）和Shiny Web应用程序框架（RStudio, Inc, Boston）开发的。它完全由开源软件包组成，因此很容易扩展。演示了所建议的应用程序的功能。案例说明了其在临床实践中的实用性。随着能够上网的手机和类似设备的广泛使用，收集精神病理学和心理治疗过程的数据变得比以往任何时候都容易。建议的应用程序是捕获、处理和可视化这些数据的有价值的工具。动态评估与过程和结果监测相结合，有可能提高心理治疗的疗效和效果。
In recent years, the assessment of mental disorders has become more and more personalized. Modern advancements such as Internet-enabled mobile phones and increased computing capacity make it possible to tap sources of information that have long been unavailable to mental health practitioners. Software packages that combine algorithm-based treatment planning, process monitoring, and outcome monitoring are scarce. The objective of this study was to assess whether the DynAMo Web application can fill this gap by providing a software solution that can be used by both researchers to conduct state-of-the-art psychotherapy process research and clinicians to plan treatments and monitor psychotherapeutic processes. In this paper, we report on the current state of a Web application that can be used for assessing the temporal structure of mental disorders using information on their temporal and synchronous associations. A treatment planning algorithm automatically interprets the data and delivers priority scores of symptoms to practitioners. The application is also capable of monitoring psychotherapeutic processes during therapy and of monitoring treatment outcomes. This application was developed using the R programming language (R Core Team, Vienna) and the Shiny Web application framework (RStudio, Inc, Boston). It is made entirely from open-source software packages and thus is easily extensible. The capabilities of the proposed application are demonstrated. Case illustrations are provided to exemplify its usefulness in clinical practice. With the broad availability of Internet-enabled mobile phones and similar devices, collecting data on psychopathology and psychotherapeutic processes has become easier than ever. The proposed application is a valuable tool for capturing, processing, and visualizing these data. The combination of dynamic assessment and process- and outcome monitoring has the potential to improve the efficacy and effectiveness of psychotherapy.