大规模范围审查:管理证据来源池中的数量和潜在混乱
Lyndsay Alexander1, Kay Cooper1, Micah D J Peters2
1School of Health Sciences, Robert Gordon University, Aberdeen, UK; Scottish Centre for Evidence-based, Multi-professional Practice: a JBI Centre of Excellence, Robert Gordon University, Aberdeen, UK.
Journal of clinical epidemiology
|April 6, 2024
概括
本评论为管理涉及许多证据来源的大规模范围审查提供了指导. 它介绍了定义和核心问题,以帮助研究人员简化审查过程,从规划到出版.
科学领域:
- 系统审查和证据综合
- 研究方法研究方法研究方法学
背景情况:
- 范围审查经常发现大量的证据.
- 管理广泛的证据来源在研究合成中提出了独特的挑战.
研究的目的:
- 为规划,进行和报告大型范围审查提供实际指导.
- 定义"大范围审查"并为其管理提供框架.
主要方法:
- 为大型范围审查制定工作定义 (大约. 100个来源,考虑到数据量,分析复杂性和目的).
- 制定了6个核心问题,以指导作者通过范围审查过程.
- 由范围审查方法的专家提供信息,包括JBI (Joanna Briggs Institute) 范围审查方法小组成员.
主要成果:
- 提出了大范围审查的拟议定义.
- 提出了六个关键问题,以帮助作者管理大规模的评论.
- 该指南旨在简化广泛的范围审查的进行和报告.
结论:
- 解决提出的问题可以提高大范围范围审查的效率.
- 这份指南支持研究人员应对大型证据综合的复杂性.
- 有效的规划和管理对于成功的大规模范围审查至关重要.
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