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Improving Depression Screening in Geriatric Patients by Reducing Bias and Generating Individualized Accuracy Estimates: An Individual Patient Data Meta-Analysis of the Geriatric Depression Scale (GDS)

Improving Depression Screening in Geriatric Patients by Reducing Bias and Generating Individualized Accuracy Estimates: An Individual Patient Data Meta-Analysis of the Geriatric Depression Scale (GDS)
通过减少偏差和生成个体化准确度估计来改善老年患者的抑郁症筛查：老年抑郁量表 (GDS) 的个体患者数据荟萃分析
批准号：
369532
负责人：
Benedetti Andrea
金额：
$8.74万
依托单位：
Research Institute of the McGill University Health Centre
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2017
资助国家：
加拿大
项目状态：
已结题
起止时间：
2017-09-01 至 2019-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=369532&lang=en
关键词：
Depression Diagnostic Accuracy Geriatric Depression Scale Geriatrics Individual Patient Data Meta-Analysis Mental Health Screening Sensitivity Specificity

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中文摘要
翻译
严重的抑郁症在加拿大老年人中很常见。抑郁症筛查，包括使用简短的问卷来识别可能患有未被识别的抑郁症的人，已被建议作为一种改进检测、管理和治疗的方法
英文摘要
Major depression is common among elderly Canadians. Depression screening, which involves using short questionnaires to identify people who may have unrecognized depression, has been suggested as a way to improve the detection, management and treatment of
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Recovering from the COVID-19 Pandemic, Informing Future Public Health Crises, and Building a Global Evidence Base for Mental Health Research: A Systematic Review of COVID-19-related Mental Health
Statistical Methodology for Prediction Modelling to Improve Depression Screening with Individualized Risk Estimates in the Context of Individual Participant Data Meta-analysis
Mental Health during the COVID-19 Pandemic: An Ongoing Living Systematic Review of Mental Health Burden and Intervention Effectiveness to Inform Management Strategies During and Post-COVID-19
Statistical Methodology for Prediction Modelling to Improve Depression Screening with Individualized Risk Estimates in the Context of Individual Participant Data Meta-analysis
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