Gunn Jane, Wachtler Caroline, Fletcher Susan, Davidson Sandra, Mihalopoulos Cathrine, Palmer Victoria, Hegarty Kelsey, Coe Amy, Murray Elizabeth, Dowrick Christopher, Andrews Gavin, Chondros Patty
Department of General Practice, University of Melbourne, Melbourne, VIC, Australia.
Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
Trials. 2017 Jul 20;18(1):342. doi: 10.1186/s13063-017-2089-y.
Depression is a highly prevalent and costly disorder. Effective treatments are available but are not always delivered to the right person at the right time, with both under- and over-treatment a problem. Up to half the patients presenting to general practice report symptoms of depression, but general practitioners have no systematic way of efficiently identifying level of need and allocating treatment accordingly. Therefore, our team developed a new clinical prediction tool (CPT) to assist with this task. The CPT predicts depressive symptom severity in three months' time and based on these scores classifies individuals into three groups (minimal/mild, moderate, severe), then provides a matched treatment recommendation. This study aims to test whether using the CPT reduces depressive symptoms at three months compared with usual care.
The Target-D study is an individually randomized controlled trial. Participants will be 1320 general practice patients with depressive symptoms who will be approached in the practice waiting room by a research assistant and invited to complete eligibility screening on an iPad. Eligible patients will provide informed consent and complete the CPT on a purpose-built website. A computer-generated allocation sequence stratified by practice and depressive symptom severity group, will randomly assign participants to intervention (treatment recommendation matched to predicted depressive symptom severity group) or comparison (usual care plus Target-D attention control) arms. Follow-up assessments will be completed online at three and 12 months. The primary outcome is depressive symptom severity at three months. Secondary outcomes include anxiety, mental health self-efficacy, quality of life, and cost-effectiveness. Intention-to-treat analyses will test for differences in outcome means between study arms overall and by depressive symptom severity group.
To our knowledge, this is the first depressive symptom stratification tool designed for primary care which takes a prognosis-based approach to provide a tailored treatment recommendation. If shown to be effective, this tool could be used to assist general practitioners to implement stepped mental-healthcare models and contribute to a more efficient and effective mental health system.
Australian New Zealand Clinical Trials Registry (ANZCTR 12616000537459 ). Retrospectively registered on 27 April 2016. See Additional file 1 for trial registration data.
抑郁症是一种高度流行且成本高昂的疾病。虽然有有效的治疗方法,但并非总能在恰当的时间提供给合适的人,治疗不足和过度治疗都是问题。在全科医疗就诊的患者中,多达一半报告有抑郁症状,但全科医生没有系统的方法来有效识别需求水平并据此分配治疗。因此,我们的团队开发了一种新的临床预测工具(CPT)来协助完成这项任务。CPT可预测三个月后的抑郁症状严重程度,并根据这些分数将个体分为三组(轻微/轻度、中度、重度),然后提供匹配的治疗建议。本研究旨在测试与常规护理相比,使用CPT是否能在三个月时减轻抑郁症状。
Target-D研究是一项个体随机对照试验。参与者将是1320名有抑郁症状的全科医疗患者,研究助理将在诊所候诊室接触他们,并邀请他们在iPad上完成资格筛查。符合条件的患者将提供知情同意书,并在专门构建的网站上完成CPT。一个按诊所和抑郁症状严重程度组分层的计算机生成的分配序列,将随机分配参与者到干预组(与预测的抑郁症状严重程度组匹配的治疗建议)或对照组(常规护理加Target-D注意力控制)。随访评估将在3个月和12个月时在线完成。主要结局是3个月时的抑郁症状严重程度。次要结局包括焦虑、心理健康自我效能感、生活质量和成本效益。意向性分析将测试研究组之间以及按抑郁症状严重程度组划分的结局均值差异。
据我们所知,这是第一个为初级保健设计的抑郁症状分层工具,它采用基于预后的方法来提供量身定制的治疗建议。如果被证明有效,该工具可用于协助全科医生实施分级心理健康护理模式,并有助于建立一个更高效的心理健康系统。
澳大利亚新西兰临床试验注册中心(ANZCTR 12616000537459)。于2016年4月27日追溯注册。试验注册数据见附加文件1。