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Using individual patient data meta-analyses to develop feasibly implemented, individualized, and accurate depression screening methods

Using individual patient data meta-analyses to develop feasibly implemented, individualized, and accurate depression screening methods
使用个体患者数据荟萃分析来开发可行的、个体化的、准确的抑郁症筛查方法
批准号：
347898
负责人：
Levis Brooke
金额：
$7.65万
依托单位：
Lady Davis Institute for Medical Research (Mtl)
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2015
资助国家：
加拿大
项目状态：
已结题
起止时间：
2015-10-01 至 2018-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=347898&lang=en
关键词：
Assessment Depression Individual Patient Data Mental Health Meta-Analysis Screening

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中文摘要
翻译
重度抑郁症是一种致残性疾病，对弱势群体的生活质量产生负面影响，包括怀孕和产后妇女、老年人和有医疗条件的患者。常规筛查被建议为
英文摘要
Major depression is a disabling condition that negatively impacts quality of life among vulnerable populations, including women in pregnancy and postpartum, elderly individuals, and patients with medical conditions. Routine screening has been suggested as
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