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简化搜索方法以更新证据和差距地图:使用代际干预的案例研究

Morwenna Rogers¹, Anthea Sutton², Fiona Campbell³

¹Evidence Synthesis Team, NIHR ARC South West Peninsula (PenARC) University of Exeter Medical School Exeter UK.

Campbell systematic reviews

|January 8, 2024

概括

搜索总结表 (SST) 通过识别有效的数据库来简化证据和差距地图 (EGM) 更新. 这项研究发现,PsycINFO,CINAHL和Ageline在代际活动研究中最有效.

科学领域:

信息科学信息科学信息科学
卫生科学卫生科学卫生科学
社会科学社会科学社会科学

背景情况:

证据和差距地图 (EGM) 需要定期更新以纳入新的研究.
更新EGM涉及耗时的文献搜索.
搜索总结表 (SST) 可以通过识别有效和冗余的数据库来优化这些搜索.

研究的目的:

利用一个SST来简化对EGM的搜索方法,专注于跨代活动.
确定最有效的数据库和搜索策略以获取 EGM 更新.

主要方法:

在15个数据库中为EGM进行了全面的搜索.
选了8638个记录,包括最后的EGM中的500个研究.
使用SST分析数据库性能,以评估敏感性,特异性和独特的研究产量.

主要成果:

没有一个数据库提供了所有500项研究;PsycINFO (40%) 和CINAHL (39%) 是最大的贡献者.
在ProQuest论文和论文 (PQDT) 中,最独特的研究结果是 (42).
对于特定的研究类型,特定的数据库表现出色:用于RCT的Ageline,用于定性研究和系统审查的CINAHL/PsycINFO/Ageline.

结论:

SST提供了一种有效的方法来简化EGM更新搜索.
未来更新的推数据库包括MEDLINE,PsycINFO,ERIC,Ageline,CINAHL和PQDT. 这些数据库是最好的.
建议补充数据库搜索与日志手动搜索和引用追逐.

关键词:

数据库就是数据库.有证据和差距地图.搜索方法搜索方法搜索摘要表搜索摘要表更新搜索更新搜索

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