Real-Time Mobile Cognitive Behavioral Intervention for Serious Mental Illness

针对严重精神疾病的实时移动认知行为干预

• 批准号: 9049546
• 负责人: Colin A. Depp
• 金额: $ 56.5万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-10 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9049546
• 关键词: Accounting; Adherence; Administrator; Adopted; Adoption; Affective Symptoms; Aftercare; Attitude; Awareness; Behavioral; Belief; Bipolar Disorder; Bypass; California; Car Phone; Clinical; Cognitive; Cognitive Therapy; Communities; County; Data; Data Collection; Devices; Diagnosis; Diagnostic; Disease; Ecological momentary assessment; Economics; Effectiveness; Elements; Emergency medical service; Excess Mortality; Face; Goals; Health; Health Services Accessibility; Health Technology; Health system; Healthcare; Hospitalization; Hybrids; Impaired cognition; Individual; Intervention; Intervention Trial; Lead; Location; Machine Learning; Measures; Mediating; Mediator of activation protein; Medicaid; Mental Health; Mental Health Services; Meta-Analysis; Methods; Monitor; Neurocognitive; Operating System; Outcome; Outcome Study; Participant; Pathway interactions; Patients; Persons; Pharmaceutical Preparations; Pilot Projects; Policies; Provider; Psychopathology; Psychotherapy; Public Health; Randomized; Randomized Controlled Trials; Recruitment Activity; Reporting; Research; Research Personnel; Resources; Schizophrenia; Self-control as a personality trait; Services; Social Functioning; Social Interaction; Socialization; Staging; Symptoms; Technology; Theory of Change; Time; Training; Variant; Withholding Treatment; Work; arm; base; clinically significant; cloud based; cognitive ability; concept mapping; coping; cost; cost effectiveness; data access; design; disability; disorder later incidence prevention; effective intervention; evidence base; experience; follow-up; functional outcomes; handheld mobile device; health service use; implementation research; improved; improved outcome; in vivo; indexing; innovation; insight; learning strategy; medication compliance; mobile computing; monitoring device; mood symptom; new technology; personalized intervention; predictive modeling; primary outcome; psychiatric symptom; psychologic; psychosocial; psychotic symptoms; reduce symptoms; research study; secondary outcome; service utilization; severe mental illness; standard care; therapy design; treatment response

DESCRIPTION (provided by applicant): This project responds to RFA MH 13-260 "Harnessing Advanced Health Technologies to Drive Mental Health Improvement," and is led by a New/Early Stage Investigator. Bipolar disorder (BD) and Schizophrenia (SZ) are leading causes of disability and are the costliest disorders to treat among serious mental illnesses. Ample evidence exists that evidence-based psychotherapies such as cognitive behavioral therapy (CBT) produce clinically significant improvements in symptoms of BD and SZ, and yet only 5% of patients in the community can access these treatments. Access to CBT for serious mental illnesses is limited by the restricted pool of trained providers, the resource intensity of these treatments, and cessation of reimbursement for psychological services in many public mental health systems. Our research in BD and SZ over the past five years indicates that mobile phones can provide automated yet personalized cognitive behavioral intervention that is feasible, acceptable, and associated with improvements in symptoms, medication adherence and socialization. Our intervention, called CBT2go, integrates ecological momentary assessment with personalized interventions delivered in the moment that symptoms and related experiences occur. We have developed an innovative platform that functions on various screen types, operating system, or data access technologies, and we have begun to incorporate innovative features into CBT2go, including location-based data and personalized predictive modeling, that can potentially lead to transformative mobile interventions. We propose a research study with the overarching aims of evaluating the effectiveness of CBT2go, gathering necessary data to refine its innovative features, and examining its costs, facilitators, and barries to implementation in a public mental health system. We propose a randomized controlled trial with three arms: 1) CBT2go, 2) an ecological momentary assessment only condition to control for self-monitoring and device contact, and 3) standard care. A total of 255 participants with either BD or SZ will be recruited from a large public mental health system that has minimal access to CBT. Participants will be assessed at baseline, 6 weeks (mid-treatment), 12 weeks (post-treatment) and 24 weeks (follow-up). The primary outcome of the study will be clinician rated global psychopathology, and secondary outcomes will include medication adherence, social functioning, and mental health service utilization. Recognizing that not all participants wil benefit, we propose to examine differential effectiveness in sub-groups. We will also examine mechanisms of change to inform mobile intervention design, focusing on the impact of CBT2go on cognitive insight and dysfunctional attitudes, which are two mediators of change in traditionally delivered CBT. Drawing from experience in implementation research, we will employ a mixed methods approach to assessing the facilitators, barriers, and costs of adoption of CBT2go from perspectives of consumers, technology experts, administrators and front-line clinicians. This study will lay the groundwork for CBT2go to be adapted and implemented with high fidelity in healthcare settings.

描述(由申请人提供)：该项目响应RFA MH 13-260“利用先进健康技术推动精神健康改善”，由一名新/早期研究人员领导。双相情感障碍(BD)和精神分裂症(SZ)是导致残疾的主要原因，也是严重精神疾病中治疗费用最高的疾病。大量证据表明，认知行为疗法(CBT)等循证心理疗法在临床上显著改善了BD和SZ的症状，但社区中只有5%的患者可以获得这些治疗。严重精神疾病接受CBT治疗的机会受到以下因素的限制：训练有素的提供者有限，这些治疗的资源密集，以及许多公共精神卫生系统停止对心理服务进行报销。我们在过去五年对BD和SZ的研究表明，手机可以提供自动化但个性化的认知行为干预，这是可行的、可接受的，并与症状、用药依从性和社会化的改善有关。我们的干预措施名为CBT2go，将生态瞬时评估与在症状和相关体验发生时提供的个性化干预相结合。我们已经开发了一个可在各种屏幕类型、操作系统或数据访问技术上运行的创新平台，我们已经开始在CBT2go中融入创新功能，包括基于位置的数据和个性化预测建模，这些功能可能会带来变革性的移动干预。我们建议进行一项研究，主要目的是评估CBT2GO的有效性，收集必要的数据来完善其创新特征，并检查其成本、促进者和在公共精神卫生系统中实施的障碍。我们提出了一项随机对照试验，包括三个方面：1)CBT2go，2)生态瞬时评估条件，以控制自我监测和设备接触，以及3)标准护理。总共255名患有BD或SZ的参与者将从一个大型公共精神卫生系统招募，该系统获得CBT的机会最少。参与者将在基线、6周(治疗中期)、12周(治疗后)和24周(随访)时进行评估。这项研究的主要结果将是临床医生评定的全球精神病理学，次要结果将包括服药依从性、社会功能和精神卫生服务利用。认识到并不是所有参与者都会受益，我们建议在分组中检查不同的有效性。我们还将研究改变的机制，为移动干预设计提供信息，重点关注CBT2go对认知洞察力和功能障碍态度的影响，这是传统CBT中改变的两个中介因素。根据实施研究的经验，我们将采用混合方法，从消费者、技术专家、管理人员和一线临床医生的角度评估采用CBT2Go的促进者、障碍和成本。这项研究将为CBT2Go在医疗保健环境中高保真地适应和实施奠定基础。