Mobile Applications for Depression: Comparing Cognitive and Behavioral Approaches

抑郁症的移动应用程序：比较认知和行为方法

• 批准号: 8830095
• 负责人: Colleen Stiles-Shields
• 金额: $ 4.27万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-11-16 至 2016-11-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8830095
• 关键词: Address; Aftercare; American; Australia; Behavior Therapy; Behavioral; Car Phone; Caucasians; Caucasoid Race; Characteristics; Cognitive; Cognitive Therapy; Data; Depressive disorder; Elements; Employee Assistance Program (Health Care); Epidemic; Feasibility Studies; Future; Goals; Health; Health Services Accessibility; Healthcare Systems; Individual; Industry; Internet; Intervention; Knowledge; Literature; Long-Term Care; Measures; Mental Depression; Mental Health; Mental disorders; Methods; Modeling; Monitor; Moods; Morbidity - disease rate; Nature; Online Systems; Outcome; Participant; Patients; Prevalence; Process; Psyche structure; Psychological Theory; Psychology; Randomized; Research; Research Personnel; Research Training; Staging; System; Technology; Telephone; Testing; Time; Translating; Translations; Veterans; Work; arm; base; behavioral health; care systems; combat; comparative; comparative trial; cost; depressive symptoms; design; disability; engineering design; ethnic minority population; follow-up; handheld mobile device; health application; high risk; improved; innovation; mHealth; meetings; mobile application; mortality; psychologic; public health relevance; randomized trial; theories; tool; usability; visual feedback

DESCRIPTION (provided by applicant): Depression imposes a very high societal burden in terms of cost, morbidity, suffering, and mortality. It is the leading cause of disability in the Unted States and the fourth leading cause worldwide. Current methods of treatment are insufficient to combat such a widespread health problem. Therefore, addressing this mental health epidemic requires significant changes in intervention strategies. A growing body of research is examining the use of behavioral intervention technologies (BITs), such as mobile phones to deliver behavioral and mental health interventions. The delivery of interventions via mobile phones offers the potential to provide a near continuous connection between a care system and the patient. However, currently available mobile applications (apps) for depression lack evidence regarding their efficacy. App stores currently offer apps for depression that are designed based on cognitive therapy (CT) interventions, some with behavioral activation (BA), some with mood monitoring only, and many with no discernable psychological approach. Even when based on psychological theory, there is no evidence that the translation of these theories, developed for face- to-face treatment, work the same way for people with depression when delivered through an app. Given the quickly evolving nature of mobile apps, conducting research on every available app will never be possible, nor very useful. The proposed research plan takes an innovative approach to investigating BITs for depression by incorporating principles from psychology, engineering, and design to examine two primary psychological principles, CT and BA, delivered by mobile apps. The project will include two stages. First, the most usable elements of existing apps will be identified to create two apps, one using CT and the other BA, targeting depressive symptoms. This usability process will use a clear, model-driven approach to identify the most usable and useful characteristics for three app elements: information delivery, tools, and visual feedback. Following usability testing and improvements, the two apps will be subjected to a small comparative trial. Secondary aims will include an examination of usage of the apps, defined as how many times the apps are opened on the mobile devices. Results will provide information that can be broadly used by developers of apps for depression and may also have implications for apps aimed at treating other mental health disorders.

描述（由申请人提供）：抑郁症在成本、发病率、痛苦和死亡率方面造成了非常高的社会负担。它是美国残疾的主要原因，也是全球第四大原因。目前的治疗方法不足以解决如此普遍的健康问题。因此，解决这一心理健康流行病需要干预策略的重大改变。越来越多的研究正在研究行为干预技术（BIT）的使用，例如手机来提供行为和心理健康干预。通过手机提供干预措施有可能在护理系统和患者之间提供近乎连续的连接。然而，目前可用的治疗抑郁症的移动应用程序缺乏其功效的证据。应用商店目前提供的抑郁症应用程序是基于认知疗法 (CT) 干预措施设计的，有些具有行为激活 (BA) 功能，有些仅具有情绪监测功能，还有许多没有明显的心理学方法。即使基于心理学理论，也没有证据表明这些为面对面治疗而开发的理论的翻译在通过应用程序传递时对抑郁症患者有同样的作用。鉴于移动应用程序快速发展的性质，对每个可用的应用程序进行研究将永远不可能，也没有多大用处。拟议的研究计划采用创新方法来研究抑郁症的 BIT，通过结合心理学、工程学和设计原理来检查移动应用程序提供的两个主要心理学原理：CT 和 BA。该项目将包括两个阶段。首先，将确定现有应用程序中最有用的元素来创建两个应用程序，一个使用 CT，另一个使用 BA，针对抑郁症状。此可用性流程将使用清晰的模型驱动方法来确定三个应用程序元素最可用和最有用的特征：信息交付、工具和视觉反馈。在可用性测试和改进之后，这两个应用程序将进行小型比较试验。次要目标将包括检查应用程序的使用情况，定义为应用程序在移动设备上打开的次数。结果将提供可供抑郁症应用程序开发人员广泛使用的信息，并且也可能对旨在治疗其他精神健康障碍的应用程序产生影响。