Notredame C-E, Ford M, Jabari N, Bhuiyan O, Richard-Devantoy S
CHU Lille, Psychiatry Department.
PSY Lab, Lille Neuroscience & Cognition Centre, INSERM U1172, Lille University.
Environ Health Prev Med. 2024;29:69. doi: 10.1265/ehpm.24-00113.
The extensive number of publications on suicide risk factors presents a practical challenge for clinicians, policy makers, and researchers to translate the research findings from academia to the improvement of individual suicide predictions and collective prevention. The Suicide Risk-Factor - Data Query Tool (SURF-DTQ) is a web application that collates organized data and helps with meta-analysis of suicidality data. Through a process of systematic review of literature according to PRISMA standards, screening and extracting studies with designs of a high level of evidence, and multi-level data synthesis, information is presented in the SURF database in a summarized, structured, and immediately relevant form. SURF allows users to search by risk factor, population, date, and indicator filters, enabling users to quickly access the most up to date and empirically grounded general or specific knowledge about suicide-related risk factors.
关于自杀风险因素的大量出版物给临床医生、政策制定者和研究人员带来了实际挑战,即如何将学术研究成果转化为改善个体自杀预测和集体预防。自杀风险因素数据查询工具(SURF-DTQ)是一个网络应用程序,它整理有组织的数据并有助于自杀数据的荟萃分析。通过按照PRISMA标准对文献进行系统综述、筛选和提取具有高水平证据设计的研究以及进行多层次数据综合,信息以汇总、结构化且直接相关的形式呈现在SURF数据库中。SURF允许用户通过风险因素、人群、日期和指标过滤器进行搜索,使用户能够快速获取关于自杀相关风险因素的最新且基于实证的一般或特定知识。