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创新信息通信技术解决方案以改善抑郁症治疗效果:信息通信技术促进抑郁症治疗项目

Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project.

作者信息

Warmerdam Lisanne, Riper Heleen, Klein Michel, van den Ven Pepijn, Rocha Artur, Ricardo Henriques Mario, Tousset Eric, Silva Hugo, Andersson Gerhard, Cuijpers Pim

机构信息

Department of Clinical Psychology, VU University Amsterdam, The Netherlands.

出版信息

Stud Health Technol Inform. 2012;181:339-43.

PMID:22954884
Abstract

Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013.

摘要

预计到2030年,抑郁症将成为高收入国家中疾病负担最重的疾病。信息通信技术促进抑郁症治疗(ICT4Depression,ICT4D)是一个欧洲第七框架计划项目,旨在通过利用抑郁症治疗和信息通信技术创新来减轻这一负担。在该项目中,我们开发了一个基于信息通信技术的系统,用于初级保健,旨在改善抑郁症成年患者获得治疗的机会以及实际的护理服务。ICT4D系统中的创新技术包括:1)针对抑郁症的灵活自助治疗;2)使用手机和基于网络的通信对患者进行自动评估;3)用于监测活动和电生理指标的可穿戴生物医学传感器设备;4)用于推断患者状态和复发风险的计算方法(推理引擎);5)一个灵活的系统架构,通过手机和网络进行持续观察和反馈,以监测和支持患者。ICT4D项目的总体目标是在2012年至2013年期间于荷兰和瑞典开展的一项试点研究中测试ICT4D系统的可行性和可接受性。

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