Olff Miranda
Department of Psychiatry, Academic Medical Centre, University of Amsterdam, Amsterdam The Netherlands.
Arq Psychotrauma Expert Group, Diemen, The Netherlands;
Eur J Psychotraumatol. 2015 May 19;6:27882. doi: 10.3402/ejpt.v6.27882. eCollection 2015.
The field of mobile health ("m-Health") is evolving rapidly and there is an explosive growth of psychological tools on the market. Exciting high-tech developments may identify symptoms, help individuals manage their own mental health, encourage help seeking, and provide both preventive and therapeutic interventions. This development has the potential to be an efficient cost-effective approach reducing waiting lists and serving a considerable portion of people globally ("g-Health"). However, few of the mobile applications (apps) have been rigorously evaluated. There is little information on how valid screening and assessment tools are, which of the mobile intervention apps are effective, or how well mobile apps compare to face-to-face treatments. But how feasible is rigorous scientific evaluation with the rising demands from policy makers, business partners, and users for their quick release? In this paper, developments in m-Health tools-targeting screening, assessment, prevention, and treatment-are reviewed with examples from the field of trauma and posttraumatic stress disorder. The academic challenges in developing and evaluating m-Health tools are being addressed. Evidence-based guidance is needed on appropriate research designs that may overcome some of the public and ethical challenges (e.g., equity, availability) and the market-driven wish to have mobile apps in the "App Store" yesterday rather than tomorrow.
移动健康(“m-Health”)领域正在迅速发展,市场上的心理工具呈爆炸式增长。令人兴奋的高科技发展可能会识别症状,帮助个人管理自己的心理健康,鼓励寻求帮助,并提供预防和治疗干预措施。这一发展有可能成为一种高效且具有成本效益的方法,减少等待名单,并为全球相当一部分人提供服务(“全球健康”)。然而,很少有移动应用程序(应用)经过严格评估。关于筛查和评估工具的有效性、哪些移动干预应用有效,或者移动应用与面对面治疗相比效果如何,几乎没有相关信息。但是,在政策制定者、商业伙伴和用户对快速发布的需求不断增加的情况下,进行严格的科学评估有多可行呢?本文回顾了m-Health工具在筛查、评估、预防和治疗方面的发展,并列举了创伤和创伤后应激障碍领域的实例。文中还探讨了开发和评估m-Health工具所面临的学术挑战。需要基于证据的指导,以确定合适的研究设计,这些设计可能会克服一些公共和伦理挑战(如公平性、可及性),以及市场驱动的想要移动应用程序昨天而非明天就出现在“应用商店”的愿望。