对偏见风险的共同挑战和建议 工具开发:对方法学研究的系统审查
Eve Tomlinson1, Chris Cooper1, Clare Davenport2
1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
这次对偏差风险 (RoB) 工具的审查发现了可用性和设计方面的共同挑战. 建议包括试点工具和更明确的发展指导和未来使用的指导.
科学领域:
- 证据综合方法论的方法论.
- 生物统计学和流行病学
- 健康研究方法的方法论.
背景情况:
- 偏差风险 (RoB) 工具对于评估初级研究在证据综合中的有效性至关重要.
- 现有众多的RoB工具,每个都有特定的设计和预期的应用.
- 了解这些工具的可用性和设计对于准确的证据合成至关重要.
研究的目的:
- 系统地审查评估关键偏差风险 (RoB) 工具的设计和可用性的研究.
- 在ROB评估工具的应用和开发中确定共同的主题和挑战.
- 为改善RoB工具评估和实施提供建议.
主要方法:
- 方法论研究的系统审查.
- 转发引用搜索主要的ROB工具报告以确定评估研究.
- 使用NVivo的文档分析,使用演和归纳方法来提取和总结发现.
主要成果:
- 确定了PROBAST,RoB2,ROBINS-I和QUADAS-2的十三项评估;没有发现其他列出的工具的评估.
- 跨工具的共同发现包括具有挑战性的项目,对整体RoB判断的担忧,可用性问题 (复杂性),可变时间需求和混合用户协议.
- 建议侧重于试点工具,增加中间答案选项 (QUADAS-2,PROBAST),并提供更明确的指导.
结论:
- 评估突出了共同的挑战,并为RoB工具的使用和开发提供了建议.
- 结果可以为研究人员和开发人员提供信息,他们使用RoB评估工具工作.
- 为了设计和进行未来的RoB工具评估,需要标准化的指导.
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