一个自动化流程图用于修改的兰金尺度评估:一个多中心的评估者间协议分析
Joao Brainer C de Andrade1,2,3,4, Terence J Quinn5, Leonardo Augusto Carbonera6
1Departments of Health Informatics and Neurology, Universidade Federal de São Paulo, São Paulo, Brazil.
概括
该iRankin工具提高了对中风恢复的修改Rankin尺度 (mRS) 评估的一致性. 这种数字解决方案增强了医疗保健专业人员之间的协议,帮助临床和研究应用.
科学领域:
- 神经学 神经学
- 临床试验 临床试验
- 数字健康数字健康
背景情况:
- 修改后的兰金尺度 (mRS) 对于评估中风恢复至关重要,但在临床工作人员中存在不一致的应用.
- 这种不一致会导致临床实践和研究中的错误.
- 需要标准化工具来提高mRS评估的准确性.
研究的目的:
- 开发和验证一个名为iRankin的交互式,自动化的数字工具,用于评估修改后的排名量表.
- 提高医疗保健专业人员mRS评分的一致性和准确性.
主要方法:
- 一个自动流程图是由血管神经学家根据mRS文献开发的.
- 在iRankin平台上,包含了用于评估0-5级的mRS视频案例和视频案例.
- 来自六个中风中心的神经学人员参加了一项随机对照试验,将iRankin与常规实践进行比较.
主要成果:
- 该iRankin工具显著改善了护士和血管神经病学家之间的协议 (加权卡帕).
- 与对照组相比,使用iRankin的参与者在mRS评估中获得了更高的准确性得分 (10.6比8.2,p=0.02).
- 采用iRankin独立地与更好的一致性得分有关.
结论:
- 通过iRankin工具,在各个专业类别中显示出实质性或近乎完美的一致性,从而提高了mRS评估.
- 建议进行进一步的试验,以概括这些发现.
- 这种用户友好,免费的iRankin平台可以在线访问.
相关概念视频
01:02Ranks
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01:20Kendall's Coefficient of Concordance
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01:22Interpreting R Charts
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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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01:21Friedman Two-way Analysis of Variance by Ranks
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01:02The R Chart
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R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
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