University of Pittsburgh School of Medicine, Pennsylvania, USA.
Canadian Biomarker Integration Network in Depression (CAN-BIND) at St. Michael's Hospital.
Curr Opin Psychiatry. 2018 Jan;31(1):3-6. doi: 10.1097/YCO.0000000000000382.
Depression is a complex and burdensome condition; it often leads to personal, societal and economic costs. Despite advances in treatments, its management over time remains a challenge; many treated for depression do not achieve full recovery or remain well for long. Novel ways to monitor patients are warranted, as well as better understanding of contributors to relapse or sustained wellness. Mobile health technologies (m-Health) are emerging as useful tools for real-time assessments of moods, behaviours and activities in a more convenient and less burdensome manner. Yet, there are numerous questions around privacy, reliability and accuracy of data collected via mobile apps. This review provides a critical overview of advances in m-Health and evaluate the future potential of smartphone technology in the assessment and treatment of depression.
There is an abundance of apps in the market that claim to exert beneficial effects on the management of depression; to date, only a small fraction has been validated in clinical trials or has had the support of academic centers.
Although promising, the use of mobile health applications in depression warrants further investigation and incorporation into mainstream research to facilitate greater adoption and validation of its clinical utility.
抑郁症是一种复杂且负担沉重的疾病;它常常导致个人、社会和经济成本。尽管在治疗方面取得了进展,但随着时间的推移,其管理仍然是一个挑战;许多接受抑郁症治疗的患者并未完全康复或长期保持良好状态。有必要寻找新的方法来监测患者,以及更好地了解导致复发或持续健康的因素。移动健康技术(m-Health)正成为实时评估情绪、行为和活动的有用工具,具有更方便、负担更小的优势。然而,通过移动应用程序收集数据的隐私性、可靠性和准确性方面存在许多问题。这篇综述提供了对 m-Health 进展的批判性概述,并评估了智能手机技术在评估和治疗抑郁症方面的未来潜力。
市场上有大量声称对抑郁症管理有有益影响的应用程序;迄今为止,只有一小部分在临床试验中得到了验证,或者得到了学术中心的支持。
虽然有希望,但移动健康应用在抑郁症中的使用需要进一步研究,并纳入主流研究,以促进其临床实用性的更大采用和验证。