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中毒控制中心监测数据:有好的,有坏的,还有……流感。

Poison center surveillance data: the good, the bad and ... the flu.

机构信息

Maine Medical Center, Northern New England Poison Center, Portland, ME 04103, USA.

出版信息

Clin Toxicol (Phila). 2010 Jun;48(5):415-7. doi: 10.3109/15563650.2010.495349.

Abstract

BACKGROUND

Poison center data are increasingly used by state health departments and the Centers for Disease Control and Prevention for public health surveillance. Forrester and colleagues evaluated the ability of 6 Texas poison centers covering a population of 24 million to accurately code and report the number of H1N1 calls received over a 5-month period.

DISCUSSION

The Texas poison centers generated new coding and began work within 24 h of notification of the surveillance need. No additional staff were added for call management, coding, or quality assurance, and no H1N1 training was provided ahead of time. A triple-redundancy coding method was used to prevent underreporting of calls. This allowed the Texas poison centers to accurately flag over 90% of H1N1 cases. Results were available in real time, allowing day-to-day monitoring by poison centers and the state public health department for surges, location, ages of callers and/or patients, and type of question.

CONCLUSION

The accuracy of poison center near real-time toxicosurveillance data coding was sufficient to monitor emerging trends. The data generated by poison centers are flexible, immediate, unique from other data sources, and useful for trend monitoring. As health departments and other collaborative partners rely more on the data from poison centers, consideration must be given to appropriate funding to support coding training, monitoring, and quality assurance to further enhance this valuable system.

摘要

背景

毒理中心数据越来越多地被州卫生部门和疾病控制与预防中心用于公共卫生监测。福雷斯特等人评估了覆盖 2400 万人口的 6 个德克萨斯州毒理中心准确编码和报告在 5 个月期间收到的 H1N1 电话数量的能力。

讨论

在接到监测需求通知后 24 小时内,德克萨斯州毒理中心生成了新的编码并开始工作。毒理中心没有增加人员来管理电话、编码或质量保证,也没有提前进行 H1N1 培训。使用三重冗余编码方法防止电话漏报。这使得德克萨斯州毒理中心能够准确标记超过 90%的 H1N1 病例。结果实时可用,允许毒理中心和州公共卫生部门每天监测激增、位置、来电者和/或患者的年龄以及问题类型。

结论

毒理中心近乎实时毒理学监测数据编码的准确性足以监测新出现的趋势。毒理中心生成的数据灵活、即时,与其他数据源不同,对于趋势监测非常有用。随着卫生部门和其他合作伙伴越来越依赖毒理中心的数据,必须考虑适当的资金来支持编码培训、监测和质量保证,以进一步增强这一有价值的系统。

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