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A randomized controlled trial to examine the impacts of disclosing personalized depression risk information on the outcomes of individuals who are at high risk of developing major depression: a research protocol

机译:一项随机对照试验,用于检验披露个性化抑郁风险信息对处于发展为严重抑郁高风险的个体的预后的影响:一项研究方案

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Major depressive disorder is one of the most prevalent and disabling forms of mental illness in the general population. One public health strategy that may reduce the disease burden is early identification and prevention - identifying people who are at high risk and intervening to prevent symptoms from progressing into a major depressive episode (MDE). Multivariable risk predictive algorithms (MVRP) have been developed to estimate personalized risk (probability) of an MDE. The purpose of this trial is to answer the questions: (1) Does disclosure of personalized depression risk information promote high-risk individuals to take preventive actions? (2) Will disclosure of personalized depression risk information negatively affect the mental health of those at high risk? We are recruiting 350 high-risk men and 350 high-risk women across the country. Individuals are eligible, if they: (1) are 18?years or older, (2) have not had a depressive episode in the past two months, (3) are at high risk of MDE based on the MVRPs (predicted risk of 6.5%?+?for men and of 11.2%?+?for women), (4) can communicate in either English or French, and (5) agree to be contacted for follow-up interviews. The MVRPs were developed and validated using longitudinal data from over 10,000 Canadians across the country. Eligible participants are randomized into (1) the control group, and (2) the group receiving personalized depression risk information. The participants are assessed at baseline, 6 and 12?months regarding accuracy of risk perception, use of self-help strategies and changes in psychological distress and functioning. Qualitative interviews are conducted in sub-samples of the intervention groups to explore how the personalized information affects risk perception, self-help behaviors and mental health. MVRPs can be used for risk stratification and planning preventive actions. The personalized risk information produced by MVRPs may also empower users to actively engage in self-management. This trial will contribute to the knowledge base about the potential health benefits and psychological harms associated with the provision of personalized depression risk information that will inform future implementation and patient-physician communication in the clinical settings.
机译:重度抑郁症是普通人群中最普遍和最致残的精神疾病之一。一种可以减轻疾病负担的公共卫生策略是及早发现和预防-识别高危人群并进行干预以防止症状发展为严重抑郁发作(MDE)。已经开发了多变量风险预测算法(MVRP)来估计MDE的个性化风险(概率)。该试验的目的是回答以下问题:(1)个性化抑郁风险信息的披露是否会促进高危人群采取预防措施? (2)个性化抑郁风险信息的披露是否会对高危人群的心理健康产生负面影响?我们正在全国招募350名高危男性和350名高危女性。符合以下条件的个人符合以下条件:(1)年满18周岁;(2)在过去两个月中未出现抑郁发作;(3)根据MVRP,有发生MDE的高风险(预计风险为6.5)男性为%% +,女性为11.2%+),(4)可以用英语或法语进行交流,并且(5)同意接受后续采访。 MVRP是使用来自全国10,000多名加拿大人的纵向数据开发和验证的。符合条件的参与者被随机分为(1)对照组和(2)接收个性化抑郁风险信息的组。在基线,6个月和12个月时对参与者进行评估,了解其风险感知的准确性,自助策略的使用以及心理困扰和功能的变化。在干预组的子样本中进行定性访谈,以探讨个性化信息如何影响风险感知,自助行为和心理健康。 MVRP可用于风险分层和计划预防措施。 MVRP产生的个性化风险信息还可以使用户积极参与自我管理。该试验将为与个性化抑郁风险信息提供相关的潜在健康益处和心理伤害提供知识基础,这些信息将为临床环境中的未来实施和医患沟通提供信息。

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