Noom Monitor for Binge Eating

 描述(由申请人提供)：暴饮暴食是几种饮食病理形式的核心适应不良行为，包括神经性暴食症(BN)和暴饮暴食障碍(BED)。这些慢性疾病影响了大约5%的人口，并造成严重的心理社会和身体损害。然而，许多障碍阻碍了有效治疗的实施，包括治疗依从性差、缺乏专业治疗师以及高辍学率。引导自助版认知行为疗法(CBT-GSH)是一种简短的8疗程高度可扩展的治疗方法，以减少暴饮暴食。此外，CBT-GSH是一种成本效益高的经验性治疗，已被证明可降低总医疗成本。拟议的第二阶段STTR研究的目的是测试一种新型移动应用程序Noom Monitor在大量暴饮者中相对于公认的照常治疗(TAU)控制条件的主要疗效。Noom Monitor通过使用患者界面来促进CBT-GSH的交付，该界面增加了依从性，并在两次会议之间提醒CBT-GSH原则。此外，Noom Monitor还包括治疗师界面，每周向提供者反馈有关患者进展的信息。这个应用程序有几个主要目标，包括：构建安全的服务器基础设施，测试Noom Monitor在临床上的实际有效性 设置，并建立Noom Monitor培训材料数据库。该应用程序的另一个主要目标是将Noom Monitor与电子病历(EMR)集成。然后，Noom Monitor的数据可以与EPIC EMR同步，为Noom成功推出具有已证明的实用价值和公共卫生意义的商业版本的Noom Monitor定位。从当前研究中获得的知识将有助于我们理解新出现的移动技术在加强现有治疗方面的作用。

 DESCRIPTION (provided by applicant): Binge eating is a core maladaptive behavior characteristic of several forms of eating pathology, including bulimia nervosa (BN) and binge eating disorder (BED). These chronic conditions affect approximately 5 percent of the population, and cause significant psychosocial and physical impairment. However, a number of barriers prevent the implementation of effective treatments, including poor treatment adherence, a paucity of specialized therapists, and high rates of drop out. The guided self-help version of cognitive-behavior therapy (CBT-GSH) is a brief 8-session highly scalable treatment to reduce binge eating. Moreover, CBT-GSH is a cost-effective empirically supported treatment that has been demonstrated to reduce total health care costs. The purpose of the proposed Phase II STTR study is to test the primary efficacy of a novel mobile app, 'Noom Monitor,' in a large population of binge eaters relative to a well-established treatment as usual (TAU) control condition. Noom Monitor facilitates the delivery of CBT-GSH by utilizing a patient interface that increases adherence and provides between-session reminders of CBT-GSH principles. In addition, the Noom Monitor includes a therapist interface with weekly feedback to the provider about patient progress. This application has several primary objectives, including: building a secure server infrastructure, testing the real-world effectiveness of the Noom Monitor for clinical settings, and establishing a database of training materials for Noom Monitor. Another main aim of the application is to integrate the Noom Monitor with electronic medical records (EMRs). Noom Monitor data may then synchronize with EPIC EMRs, positioning Noom for the successful launch of a commercial version of Noom Monitor with demonstrated utility and public health significance. The knowledge gained from the current study will contribute to our understanding of the role of new emerging mobile technologies in augmenting existing treatments.