An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty
An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty
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DOI：
10.1016/j.vaccine.2014.04.070
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发表时间：
2014-06-12
期刊：
影响因子：
5.5
通讯作者：
Williams, Sarah Elizabeth
中科院分区：
文献类型：
--
作者：
Joshi, Deepa;Alsentzer, Emily;Williams, Sarah Elizabeth
布莱顿合作组织是一个专注于疫苗安全的全球研究网络。该合作组织创建了病例定义，以确定几种不良事件的诊断确定性。目前，这些定义嵌套在多页出版物中，使用起来可能很麻烦。我们报告了一项随机试验的结果，其中过敏反应的病例定义被转换为用户友好的算法，并将该算法与标准病例定义进行比较。主要结果是效率和准确性。四十名医学生使用算法或原始病例定义确定了过敏反应样本病例的布莱顿诊断确定性水平。两组中的大多数参与者都选择了正确的布莱顿等级。使用该算法的参与者需要显着更少的时间来审查病例并确定诊断确定性水平[平均差异 = 107 秒（95% CI：13-200；p = 0.026）]，这表明该算法在不影响准确性的情况下更有效。 (C) 2014 Elsevier Ltd. 保留所有权利。
The Brighton Collaboration is a global research network focused on vaccine safety. The Collaboration has created case definitions to determine diagnostic certainty for several adverse events. Currently nested within multi-page publications, these definitions can be cumbersome for use. We report the results of a randomized trial in which the case definition for anaphylaxis was converted into a user-friendly algorithm and compared the algorithm with the standard case definition. The primary outcomes were efficiency and accuracy. Forty medical students determined the Brighton Level of diagnostic certainty of a sample case of anaphylaxis using either the algorithm or the original case definition. Most participants in both groups selected the correct Brighton Level. Participants using the algorithm required significantly less time to review the case and determine the level of diagnostic certainty [mean difference = 107s (95% CI: 13-200; p = 0.026)], supporting that the algorithm was more efficient without impacting accuracy. (C) 2014 Elsevier Ltd. All rights reserved.