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电子健康支持的初级保健中惊恐障碍或抑郁症患者的病例管理:一项 cRCT(PREMA)的研究方案。

eHealth-supported case management for patients with panic disorder or depression in primary care: Study protocol for a cRCT (PREMA).

机构信息

Institute of General Practice and Family Medicine, University Hospital of the Ludwig-Maximilians University of Munich, Pettenkoferstr 8a, 80336, Munich, Germany.

Institute of General Practice, Goethe-University, Frankfurt am Main, Germany.

出版信息

Trials. 2019 Dec 2;20(1):662. doi: 10.1186/s13063-019-3751-3.

Abstract

BACKGROUND

Panic disorder (PD), frequently occurring with agoraphobia (AG), and depression are common mental disorders in primary care and associated with considerable individual and societal costs. Early detection and effective treatment of depression and PD/AG are of major importance. Cognitive behavioural exposure exercises have been shown to be effective in reducing anxiety and depressive symptoms. Practice team-based case management can improve clinical outcomes for patients with chronic diseases in primary care. The present study aims at evaluating the effects and cost-effectiveness of a primary care team-based intervention using behavioural therapy elements and case management supported by eHealth components in patients with PD/AG or depression compared to treatment as usual.

METHODS/DESIGN: This is a two-arm cluster-randomized, controlled trial (cRCT). General practices represent the units of randomisation. General practitioners recruit adult patients with depression and PD ± AG according to the International Classification of Diseases, version 10 (ICD-10). In the intervention group, patients receive cognitive behaviour therapy-oriented psychoeducation and instructions to self-managed exposure exercises in four manual-based appointments with the general practitioner. A trained health care assistant from the practice team delivers case management and is continuously monitoring symptoms and treatment progress in ten protocol-based telephone contacts with patients. Practice teams and patients are supported by eHealth components. In the control group, patients receive usual care from general practitioners. Outcomes are measured at baseline (T0), at follow-up after 6 months (T1), and at follow-up after 12 months (T2). The primary outcome is the mental health status of patients as measured by the Mental Health Index (MHI-5). Effect sizes of 0.2 standard deviation (SD) are regarded as relevant. Assuming a drop-out rate of 20% of practices and patients each, we aim at recruiting 1844 patients in 148 primary care practices. This corresponds to 12.5 patients on average per primary care practice. Secondary outcomes include depression and anxiety-related clinical parameters and health-economic costs.

DISCUSSION

If the intervention is more effective than treatment as usual, the three-component (cognitive behaviour therapy, case-management, eHealth) primary care-based intervention for patients suffering from PD/AG or depression could be a valuable low-threshold option that benefits patients and primary care practice teams.

TRIAL REGISTRATION

German clinical trials register, DRKS00016622. Registered on February 22nd, 2019.

摘要

背景

惊恐障碍(PD)常伴有广场恐惧症(AG)和抑郁症,是初级保健中常见的精神障碍,会给个人和社会带来巨大的负担。早期发现和有效治疗抑郁和 PD/AG 非常重要。认知行为暴露疗法已被证明可有效减轻焦虑和抑郁症状。基于实践团队的病例管理可以改善初级保健中慢性疾病患者的临床结局。本研究旨在评估基于初级保健团队的干预措施的效果和成本效益,该措施使用行为治疗元素和病例管理,并辅以电子健康组件,用于 PD/AG 或抑郁患者,与常规治疗相比。

方法/设计:这是一项两臂聚类随机对照试验(cRCT)。全科医生诊所是随机分组单位。全科医生根据国际疾病分类第 10 版(ICD-10)招募患有抑郁症和 PD±AG 的成年患者。在干预组中,患者接受认知行为治疗为导向的心理教育,并在与全科医生进行的四次基于手册的预约中接受自我管理暴露练习的指导。来自实践团队的经过培训的医疗保健助理进行病例管理,并通过与患者进行十次基于方案的电话联系,持续监测症状和治疗进展。实践团队和患者都得到电子健康组件的支持。在对照组中,患者接受全科医生的常规治疗。在基线(T0)、6 个月后随访(T1)和 12 个月后随访(T2)时测量结果。主要结局是患者的心理健康状况,通过心理健康指数(MHI-5)来衡量。0.2 个标准差(SD)的效应大小被认为是相关的。假设每个实践和患者的脱落率为 20%,我们计划在 148 家初级保健诊所中招募 1844 名患者。这相当于每家初级保健诊所平均有 12.5 名患者。次要结局包括抑郁和焦虑相关的临床参数和健康经济成本。

讨论

如果干预措施比常规治疗更有效,那么针对 PD/AG 或抑郁患者的三组分(认知行为治疗、病例管理、电子健康)基于初级保健的干预措施可能是一种有价值的低门槛选择,可以使患者和初级保健实践团队受益。

试验注册

德国临床试验注册处,DRKS00016622。于 2019 年 2 月 22 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38db/6889733/2a1c26b372e0/13063_2019_3751_Fig1_HTML.jpg

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