Optimizing a Smartphone Application for Individuals with Eating Disorders

为饮食失调患者优化智能手机应用程序

• 批准号: 9276789
• 负责人: JAMES D LOCK
• 金额: $ 38.82万
• 依托单位: RECOVERY RECORD RESEARCH, INC.
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-23 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9276789
• 关键词: Achievement; Address; Age; Algorithms; Behavior; Car Phone; Cellular Phone; Characteristics; Clinical; Clinical Trials; Cognitive; Cognitive remediation; Communities; Data; Data Reporting; Development; Diagnostic; Disease; Eating; Eating Disorders; Genetic; Grant; Health Technology; Heterogeneity; Individual; Intervention; Mental Health; Modeling; Monitor; Neurobehavioral Manifestations; Neurocognitive; Outcome; Personality; Phase; Pilot Projects; Predictive Factor; Preparation; Public Health; Randomized; Randomized Controlled Trials; Recovery; Severities; Small Business Innovation Research Grant; Structure; Subgroup; Symptoms; Syndrome; Testing; Therapeutic; Thinking; Time; Weight; Work; Writing; behavioral health; clinically significant; comparative efficacy; cost; efficacy testing; evidence base; health application; health care service; mHealth; outcome prediction; phase 1 study; predicting response; product development; programs; prototype; public health priorities; public health relevance; reduce symptoms; response; screening; self help; success; systematic review; tool; treatment response

 DESCRIPTION (provided by applicant): An important development in the field of public health is the emergence of behavioral health technologies and mobile health (mHealth) applications (apps). Recovery Record (RR) is a self-monitoring app that aims to enhance engagement in recovery for individuals with eating disorders (EDs), and has demonstrated wide appeal and reach over its 2-year period of prototype-testing. In line with the objectives of a Fast Track SBIR project, we aim to develop the prototype into an evidence-based adaptive intervention and test it against the current one-size-fits-all approach. RR's core functionality is eating and symptom self-monitoring, which preliminary data reported in this application suggests can facilitate a clinically meaningful reduction in symptoms in users with specific characteristics. The most potent predictor of symptom reduction is severity of cognitive distortions. The next step in app development and the first aim of our work program is to develop and pilot content that helps users challenge distorted thinking tailored to the needs of their symptom profile. In the second phase, we will randomize registered users of RR to receive either RR augmented with content tailored to their needs (RR-A), or RR in its current standard format (RR-S). We will test the efficacy of RR-A by comparing it to the standard product (RR-S). By the end of the study, the resultant high-quality evidence-based product will have commercial value. The overarching purpose of this study is to build on the success of RR-S and develop it into a high quality evidence based adaptive intervention (RR-A).

 描述（由申请人提供）：公共卫生领域的一个重要发展是行为健康技术和移动的健康（mHealth）应用程序（app）的出现。Recovery Record（RR）是一款自我监测应用程序，旨在提高饮食失调（ED）患者的康复参与度，并在其为期2年的原型测试中表现出广泛的吸引力和影响力。根据快速通道SBIR的目标 项目，我们的目标是将原型开发成一种基于证据的适应性干预措施，并针对目前的一刀切方法进行测试。RR的核心功能是进食和症状自我监测，本应用程序中报告的初步数据表明，这可以促进具有特定特征的用户症状的临床有意义的减少。症状减轻的最有力的预测因素是认知扭曲的严重程度。应用程序开发的下一步，也是我们工作计划的第一个目标，是开发和试点内容，帮助用户挑战扭曲的思维，以满足他们的症状特征。在第二阶段，我们将随机分配RR的注册用户，以接收根据其需求定制的内容（RR-A）或当前标准格式（RR-S）的RR。我们将通过与标准产品（RR-S）进行比较来测试RR-A的有效性。到研究结束时，由此产生的高质量循证产品将具有商业价值。本研究的首要目的是在RR-S成功的基础上，将其发展成为高质量的循证适应性干预（RR-A）。

项目成果

Subgrouping the users of a specialized app for eating disorders.

将专门针对饮食失调的应用程序的用户进行分组。

• DOI: 10.1080/10640266.2018.1440043
• 发表时间: 2018
• 期刊: Eating disorders
• 影响因子: 3.3
• 作者: Sadeh-Sharvit,Shiri;Kim,JanePaik;Darcy,AlisonM;Neri,Eric;Vierhile,Molly;Robinson,Athena;Tregarthen,Jenna;Lock,JamesD
• 通讯作者: Lock,JamesD

The Utility and Acceptability of a Self-Help Smartphone Application for Eating Disorder Behaviors

饮食失调行为自助智能手机应用程序的实用性和可接受性

• DOI: 10.1007/s41347-018-0048-4
• 发表时间: 2018
• 期刊: Journal of Technology in Behavioral Science
• 作者: J. P. Kim;Shiri Sadeh;Alison M Darcy;E. Neri;Molly Vierhile;A. Robinson;Jenna Tregarthen;J. Lock
• 通讯作者: J. Lock