Brinck-Claussen Ursula Ødum, Curth Nadja Kehler, Davidsen Annette Sofie, Mikkelsen John Hagel, Lau Marianne Engelbrecht, Lundsteen Merete, Csillag Claudio, Christensen Kaj Sparle, Hjorthøj Carsten, Nordentoft Merete, Eplov Lene Falgaard
Mental Health Center Copenhagen, Mental Health Services, Kildegårdsvej 28, DK- 2900, Hellerup, Capital Region of Denmark, Denmark.
The Research Unit for General Practice and Section of General Practice, University of Copenhagen, Øster Farimagsgade 5, Postboks 2099, 1014, Copenhagen K, Denmark.
Trials. 2017 Jul 21;18(1):344. doi: 10.1186/s13063-017-2064-7.
Depression is a common illness with great human costs and a significant burden on the public economy. Previous studies have indicated that collaborative care (CC) has a positive effect on symptoms when provided to people with depression, but CC has not yet been applied in a Danish context. We therefore developed a model for CC (the Collabri model) to treat people with depression in general practice in Denmark. Since systematic identification of patients is an "active ingredient" in CC and some literature suggests case finding as the best alternative to standard detection, the two detection methods are examined as part of the study. The aim is to investigate if treatment according to the Collabri model has an effect on depression symptoms when provided to people with depression in general practice in Denmark, and to examine if case finding is a better method to detect depression in general practice than standard detection.
METHODS/DESIGN: The trial is a cluster-randomised, clinical superiority trial investigating the effect of treatment according to the Collabri model for CC, compared to treatment as usual for 480 participants diagnosed with depression in general practice in the Capital Region of Denmark. The primary outcome is depression symptoms (Beck's Depression Inventory (BDI-II)) after 6 months. Secondary outcomes include depression symptoms (BDI-II) after 15 months, anxiety symptoms (Beck's Anxiety Inventory (BAI)), level of functioning (Global Assessment of Function (GAF)) and psychological stress (Symptom Checklist-90-Revised (SCL-90-R)). In addition, case finding (with the recommended screening tool Major Depression Inventory (MDI)) and standard detection of depression is examined in a cluster-randomized controlled design. Here, the primary outcome is the positive predictive value of referral diagnosis.
If the Collabri model is shown to be superior to treatment as usual, the study will contribute with important knowledge on how to improve treatment of depression in general practice, with major benefit to patients and society. If case finding is shown to be superior to standard detection, it will be recommended as the detection method in future treatment according to the Collabri model.
ClinicalTrials.gov. NCT02678845 . Retrospectively registered on 7 February 2016.
抑郁症是一种常见疾病,会给人类带来巨大代价,并给公共经济造成重大负担。先前的研究表明,协作护理(CC)在为抑郁症患者提供治疗时对症状有积极影响,但CC尚未在丹麦的环境中应用。因此,我们开发了一种CC模型(Collabri模型),用于在丹麦的全科医疗中治疗抑郁症患者。由于系统识别患者是CC的“有效成分”,并且一些文献表明病例发现是标准检测的最佳替代方法,因此这两种检测方法作为研究的一部分进行了检验。目的是调查按照Collabri模型进行治疗在丹麦的全科医疗中为抑郁症患者提供治疗时是否对抑郁症状有影响,并检验病例发现在全科医疗中检测抑郁症是否比标准检测更好的方法。
方法/设计:该试验是一项整群随机、临床优势试验,研究与丹麦首都地区480名在全科医疗中被诊断为抑郁症的参与者接受常规治疗相比,按照Collabri模型进行CC治疗的效果。主要结局是6个月后的抑郁症状(贝克抑郁量表(BDI-II))。次要结局包括15个月后的抑郁症状(BDI-II)、焦虑症状(贝克焦虑量表(BAI))、功能水平(总体功能评估(GAF))和心理压力(症状自评量表-90修订版(SCL-90-R))。此外,病例发现(使用推荐的筛查工具重性抑郁量表(MDI))和抑郁症的标准检测在整群随机对照设计中进行检验。在此,主要结局是转诊诊断的阳性预测值。
如果Collabri模型被证明优于常规治疗,该研究将为如何改善全科医疗中抑郁症的治疗提供重要知识,对患者和社会有重大益处。如果病例发现被证明优于标准检测,将建议在未来按照Collabri模型进行治疗时作为检测方法。
ClinicalTrials.gov。NCT02678845。于2016年2月7日追溯注册。