An Internet Intervention for Insomnia: Efficacy and Dissemination

失眠的互联网干预：功效与传播

• 批准号: 8606508
• 负责人: Lee M Ritterband
• 金额: $ 45.16万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8606508
• 关键词: Adult; Anxiety; Beds; Behavior; Belief; Caring; Characteristics; Clinical; Clinical Trials; Cognition; Cognitive Therapy; Control Groups; Data; Development; Fatigue; Feeling; Funding; Goals; Health; Health Services Accessibility; Health Status; Hygiene; Influentials; Internet; Intervention; Knowledge; Lead; Literature; Maintenance; Measures; Medical; Mental Depression; Mental Health; Modeling; Moods; National Institute of Mental Health; Participant; Patient Education; Patients; Perception; Physical activity; Population; Population Heterogeneity; Provider; Public Health; Quality of life; Randomized Controlled Trials; Recommendation; Recruitment Activity; Reporting; Research; Research Design; Sampling; Science; Severities; Severity of illness; Sleep; Sleeplessness; Stimulus; Symptoms; System; Testing; Time; Training; United States National Institutes of Health; Waiting Lists; abstracting; base; behavior change; cognitive control; comparative efficacy; cost; cost effectiveness; design; disorder later incidence prevention; effective intervention; effective therapy; follow-up; health disparity; health economics; improved; programs; psychologic; psychological distress; public health relevance; restoration; satisfaction; self help; sleep onset; symposium; therapeutic effectiveness; treatment effect; treatment program; usability; web site

DESCRIPTION (provided by applicant): Abstract Insomnia is a major public health problem, with significant psychological, health, and economic consequences. Studies have demonstrated that face-to-face cognitive-behavioral therapy (CBT) for insomnia is one of the most effective treatments. Despite the therapeutic effectiveness of CBT, treatment availability is significantly limited by a lack of trained clinicians, poor geographical distribution of knowledgeable professionals, and expense. One way to overcome these barriers is to use the Internet to deliver treatment, potentially making this effective intervention more accessible and less costly. In a recent NIH (R34) study, we developed and tested a self-guided, interactive, tailored Internet intervention for adults with insomnia (SHUTi: Sleep Healthy Using The Internet, www.shuti.net). SHUTi incorporates the primary components of CBT for insomnia, including sleep restriction, stimulus control, cognitive restructuring, sleep hygiene, and relapse prevention. In the small, local RCT, participants who received SHUTi significantly improved their sleep, whereas the wait-list control group showed no significant changes. Moreover, these improvements were maintained at 6 month follow-up. The proposed study will expand on the R34 trial by including a broader sample, comparing SHUTi to a Patient Education website, and conducting follow-up assessments for one-year to demonstrate potential maintenance of treatment effects. In this new RCT, we will recruit 300 adults with insomnia, including those with comorbid psychological or medical conditions, as part of a 2 (Patient Education vs. SHUTi) X 4 (Pre, Post, 6 and 12 month follow-up) study design. We hypothesize that adults who receive SHUTi will show greater improvements in sleep, mood related symptoms, perceived health status, and overall quality of life compared to those receiving the Patient Education website. We believe that use of SHUTi will result in greater efficacy compared to the Patient Education website at only a moderate increase in costs, resulting in a greater cost effectiveness ratio. We will also test our model for Internet interventions, and begin to identify user characteristics that may be predictive in determining symptom improvement. Because Internet interventions may ultimately be able to reduce health disparity by increasing access to care for geographically isolated patients, we will collect data regarding the sample's access to insomnia treatment. Finally, it is important to note that this proposal is consistent with the recommendations made by the 2005 NIH State-of-the-Science for Insomnia Conference Statement calling for increased research on insomnia treatment.

描述（由申请人提供）：

项目成果

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach.

• DOI: 10.2196/17738
• 发表时间: 2020-10-28
• 期刊: Journal of medical Internet research
• 影响因子: 7.4
• 作者: Bremer V;Chow PI;Funk B;Thorndike FP;Ritterband LM
• 通讯作者: Ritterband LM

A secondary analysis of the role of geography in engagement and outcomes in a clinical trial of an efficacious Internet intervention for insomnia.

在一项有效的互联网干预失眠的临床试验中，对地理在参与度和结果中的作用进行了二次分析。

• DOI: 10.1016/j.invent.2019.100294
• 发表时间: 2019
• 期刊: Internet interventions
• 作者: Chow,PhilipI;Gonzalez,BrianD;Ingersoll,KarenS;Thorndike,FrancesP;Shaffer,KellyM;Camacho,Fabian;Perlis,MichaelL;Ritterband,LeeM
• 通讯作者: Ritterband,LeeM

Do treatment effects of a web-based cognitive behavioral therapy for insomnia intervention differ for users with and without pain interference? A secondary data analysis.

基于网络的认知行为疗法对失眠干预的治疗效果对于有或没有疼痛干扰的用户是否有所不同？

• DOI: 10.1007/s10865-019-00065-w
• 发表时间: 2020
• 期刊: Journal of behavioral medicine
• 影响因子: 3.1
• 作者: Shaffer,KellyM;Camacho,Fabian;Lord,HollyR;Chow,PhilipI;Palermo,Tonya;Law,Emily;Thorndike,FrancesP;Ingersoll,KarenS;Ritterband,LeeM
• 通讯作者: Ritterband,LeeM