首页> 外文OA文献 >Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression.
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Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression.

机译:在在线虚拟环境(IMPROVE-2)中实施多因素心理治疗研究:用于抑郁症互联网认知行为疗法的MOST随机成分选择方法的III期试验的研究方案。

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摘要

BACKGROUND: Depression is a global health challenge. Although there are effective psychological and pharmaceutical interventions, our best treatments achieve remission rates less than 1/3 and limited sustained recovery. Underpinning this efficacy gap is limited understanding of how complex psychological interventions for depression work. Recent reviews have argued that the active ingredients of therapy need to be identified so that therapy can be made briefer, more potent, and to improve scalability. This in turn requires the use of rigorous study designs that test the presence or absence of individual therapeutic elements, rather than standard comparative randomised controlled trials. One such approach is the Multiphase Optimization Strategy, which uses efficient experimentation such as factorial designs to identify active factors in complex interventions. This approach has been successfully applied to behavioural health but not yet to mental health interventions. METHODS/DESIGN: A Phase III randomised, single-blind balanced fractional factorial trial, based in England and conducted on the internet, randomized at the level of the patient, will investigate the active ingredients of internet cognitive-behavioural therapy (CBT) for depression. Adults with depression (operationalized as PHQ-9 score ≥ 10), recruited directly from the internet and from an UK National Health Service Improving Access to Psychological Therapies service, will be randomized across seven experimental factors, each reflecting the presence versus absence of specific treatment components (activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, absorption, self-compassion training) using a 32-condition balanced fractional factorial design (2IV(7-2)). The primary outcome is symptoms of depression (PHQ-9) at 12 weeks. Secondary outcomes include symptoms of anxiety and process measures related to hypothesized mechanisms. DISCUSSION: Better understanding of the active ingredients of efficacious therapies, such as CBT, is necessary in order to improve and further disseminate these interventions. This study is the first application of a component selection experiment to psychological interventions in depression and will enable us to determine the main effect of each treatment component and its relative efficacy, and cast light on underlying mechanisms, so that we can systematically enhance internet CBT. TRIAL REGISTRATION: Current Controlled Trials ISRCTN24117387 . Registered 26 August 2014.
机译:背景:抑郁症是全球性的健康挑战。尽管有有效的心理和药物干预措施,但我们的最佳治疗方法可实现小于1/3的缓解率,并限制持续的康复。造成这种功效差距的原因是,人们对抑郁症的复杂心理干预工作原理的了解有限。最近的评论认为,需要确定治疗的有效成分,以便使治疗更简短,更有效并提高可扩展性。反过来,这需要使用严格的研究设计来测试单个治疗元素的存在与否,而不是标准的比较随机对照试验。一种这样的方法是多阶段优化策略,它使用有效的实验(例如析因设计)来识别复杂干预措施中的活动因素。该方法已成功应用于行为健康,但尚未应用于心理健康干预。方法/设计:一项基于英格兰并在互联网上进行的,按患者水平随机分组的III期随机,单盲平衡分数阶乘试验,将研究抑郁症的互联网认知行为疗法(CBT)的有效成分。直接从互联网和英国国家卫生服务局(National Health Service)改善心理治疗服务的成年人中招募的患有抑郁症的成年人(PHQ-9得分≥10)随机分配到七个实验因素中,每个反映出是否存在特定治疗组件(活动计划,功能分析,思维挑战,放松,具体训练,吸收,自我同伴训练)使用32条件平衡分数阶乘设计(2IV(7-2))。主要结果是在12周时出现抑郁症状(PHQ-9)。次要结果包括焦虑症状和与假设机制相关的过程测量。讨论:为了改善和进一步传播这些干预措施,有必要更好地了解有效疗法的有效成分,例如CBT。这项研究是成分选择实验在抑郁症心理干预中的首次应用,它将使我们能够确定每种治疗成分的主要作用及其相对功效,并阐明其潜在机制,从而可以系统地增强互联网CBT。试用注册:电流控制试验ISRCTN24117387。 2014年8月26日注册。

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