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利用多个公共卫生数据源监测美沙酮相关药物不良事件。

Surveillance of methadone-related adverse drug events using multiple public health data sources.

作者信息

Sims Shannon A, Snow Laverne A, Porucznik Christina A

机构信息

Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112 5750, USA.

出版信息

J Biomed Inform. 2007 Aug;40(4):382-9. doi: 10.1016/j.jbi.2006.10.004. Epub 2006 Nov 1.

DOI:10.1016/j.jbi.2006.10.004
PMID:17185042
Abstract

Healthcare safety and quality surveillance is increasingly conducted by public health agencies. We describe a biomedical informatics method that uses multiple public health data sources to perform surveillance of methadone-related adverse drug events. Data from Utah medical examiner records, vital statistics, emergency department encounter administrative data and a database of controlled substances prescriptions are used to examine trends in state-wide adverse events related to methadone. From 1997 to 2004, population-adjusted methadone prescriptions increased 727%, with evidence to suggest the rise in the methadone prescription rate is for treatment of pain, not addiction therapy. During the same period of time, population adjusted, accidental methadone-related deaths in medical examiner data increased 1770%. Population adjusted methadone-related emergency department encounters rose 612% from 1997 to 2003. Our results suggest that the increase in methadone prescription rates from 1997 to 2004 was accompanied by a concurrent increase in methadone-related morbidity and mortality. Although patient data is not linked between data sources, our results demonstrate that utilizing multiple public health data sources captures more cases and provides more clinical detail than individual data sources alone. Our approach is a successful biomedical informatics approach for surveillance of adverse events and utilizes widely available public health data sources, as well as an emerging source of public health data, controlled substance prescription registries.

摘要

公共卫生机构越来越多地开展医疗保健安全与质量监测工作。我们描述了一种生物医学信息学方法,该方法利用多个公共卫生数据源对美沙酮相关药物不良事件进行监测。来自犹他州法医记录、人口统计数据、急诊科就诊管理数据以及管制药品处方数据库的数据,被用于研究全州范围内与美沙酮相关的不良事件趋势。从1997年到2004年,经人口调整后的美沙酮处方量增长了727%,有证据表明美沙酮处方率的上升是用于疼痛治疗,而非成瘾治疗。在同一时期,法医数据中经人口调整后的与美沙酮相关的意外死亡人数增加了1770%。从1997年到2003年,经人口调整后的与美沙酮相关的急诊科就诊人数增长了612%。我们的结果表明,1997年至2004年美沙酮处方率的上升伴随着与美沙酮相关的发病率和死亡率的同时增加。尽管各数据源之间未关联患者数据,但我们的结果表明,与单独使用单个数据源相比,利用多个公共卫生数据源能捕获更多病例并提供更多临床细节。我们的方法是一种成功的用于监测不良事件的生物医学信息学方法,它利用了广泛可用的公共卫生数据源以及一个新兴的公共卫生数据源——管制药品处方登记处。

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