一个新的研究识别过程模型,专门用于识别随机研究,用于对医疗干预进行系统审查
Chris Cooper1, Zahra Premji2, Christine Worsley3
1Bristol Medical School (PHS) Bristol UK.
这项研究提出了一个新的模型,用于在医学系统性审查中识别随机研究. 它将研究和报告识别分为不同的阶段,以提高效率并减少研究浪费.
科学领域:
- 医学研究方法论医学研究方法论.
- 证据综合研究
背景情况:
- 目前的系统审查实践使用统一的研究识别过程,无论审查类型或数据需求如何.
- 这种方法可能会导致研究和研究浪费的不高效识别.
研究的目的:
- 提出一种新的过程模型,用于在医学干预的系统性审查中识别随机研究.
- 通过实践案例研究,将这种新模式与当前的实践联系起来.
主要方法:
- 拟议的模型将研究的识别与研究报告分为连续的阶段.
- 它优先搜索试验注册表的研究,其次是报告和未注册研究的文献数据库.
- 添加了补充和更新搜索,以识别未发表的和新兴的研究.
主要成果:
- 一个工作示例展示了新模型在最近的系统审查中的应用.
- 该模型为研究识别提供了一个结构化的方法,区分研究和报告发现.
- 提供了操作指南,以支持模型的实施.
结论:
- 开发的模型提供了一个量身定制的方法,用于在系统性审查中识别研究.
- 该方法旨在提高研究检索的准确性和及时性,从而最大限度地减少研究浪费.
- 该模型为改进系统审查方法论提供了实际框架.
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