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中毒控制中心专家对病例临床效果编码进行对照评估,以发现大规模杀伤性武器情景。

A controlled evaluation of case clinical effect coding by poison center specialists for detection of WMD scenarios.

机构信息

Carolinas Poison Center, P.O. Box 32861, Charlotte, NC 28232, USA.

出版信息

Clin Toxicol (Phila). 2011 Aug;49(7):684-90. doi: 10.3109/15563650.2011.598530. Epub 2011 Aug 8.

Abstract

BACKGROUND

Many public health entities employ computer-based syndromic surveillance to monitor for aberrations including possible exposures to weapons of mass destruction (WMD). Often, this is done by screening signs and symptoms reported for cases against syndromic definitions. Poison centers (PCs) may offer significant contributions to public health surveillance because of their detailed clinical effect data field coding and real-time data entry. Because improper clinical effect coding may impede syndromic surveillance, it is important to assess this accuracy for PCs.

METHODS

An AAPCC-certified regional PC assessed the accuracy of clinical effect coding by specialists in poison information (SPIs) listening to audio recordings of standard cases. Eighteen different standardized cases were used, consisting of six cyanide, six botulism, and six control cases. Cases were scripted to simulate clinically relevant telephone conversations and converted to audio recordings. Ten SPIs were randomly selected from the center's staff to listen to and code case information from the recorded cases. Kappa scores and the percentage of correctly coding a present clinical effect were calculated for individual clinical effects summed over all test cases along with corresponding 95% confidence intervals. The rate of the case coding by the SPIs triggering the PC's automated botulism and cyanide alerts was also determined.

RESULTS

The kappa scores and the percentage of correctly coding a present clinical effect varied depending on the specific clinical effect, with greater accuracy observed for the clinical effects of vomiting and agitation/irritability, and poor accuracy observed for the clinical effects of visual defect and anion gap increase. Lack of correct coding resulted in only 60 and 86% of the cases that met the botulism and cyanide surveillance definitions, respectively, triggering the corresponding alert. There was no difference observed in the percentage of coding a present clinical effect between certified (9.0 years experience) and non-certified (2.4 years experience) specialists. There were no cases of coding errors that resulted in the triggering of a false positive alert.

CONCLUSION

The success of syndromic surveillance depends on accurate coding of signs and symptoms. Although PCs generally contribute high-quality data to public health surveillance, it is important to recognize this potential weak link in surveillance methods.

摘要

背景

许多公共卫生实体采用基于计算机的综合征监测来监测异常情况,包括可能接触大规模杀伤性武器(WMD)的情况。通常,这是通过对报告病例的症状和体征进行筛选,以符合综合征定义来完成的。由于其详细的临床效果数据字段编码和实时数据录入,毒理中心(PC)可能会对公共卫生监测做出重大贡献。由于不正确的临床效果编码可能会阻碍综合征监测,因此评估 PC 的准确性非常重要。

方法

一个经过 AAPCC 认证的区域毒理中心,由毒理信息专家(SPIs)监听标准病例的音频录音来评估临床效果编码的准确性。使用了 18 个不同的标准化病例,包括 6 个氰化物、6 个肉毒杆菌和 6 个对照病例。这些病例被编写为模拟临床相关的电话对话,并转换为音频录音。从中心的工作人员中随机选择 10 名 SPIs 来监听和编码录音病例中的信息。计算了所有测试病例中个体临床效果的 Kappa 评分和正确编码当前临床效果的百分比,以及相应的 95%置信区间。还确定了 SPI 编码病例触发 PC 自动肉毒杆菌和氰化物警报的比率。

结果

Kappa 评分和正确编码当前临床效果的百分比因特定的临床效果而异,呕吐和激动/烦躁等临床效果的准确性较高,而视觉缺陷和阴离子间隙增加等临床效果的准确性较低。不正确的编码导致只有 60%和 86%的符合肉毒杆菌和氰化物监测定义的病例分别触发了相应的警报。认证(9.0 年经验)和非认证(2.4 年经验)专家在编码当前临床效果的百分比方面没有差异。没有编码错误导致误报的情况。

结论

综合征监测的成功取决于症状和体征的准确编码。虽然 PC 通常会向公共卫生监测提供高质量的数据,但认识到监测方法中的这一潜在弱点非常重要。

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