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全科医疗中潜在药物相互作用的风险因素。

Risk factors for potential drug interactions in general practice.

作者信息

Bjerrum Lars, Gonzalez Lopez-Valcarcel Beatriz, Petersen Gert

机构信息

Research Unit and Department of General Practice, University of Southern Denmark, Odense, Denmark.

出版信息

Eur J Gen Pract. 2008;14(1):23-9. doi: 10.1080/13814780701815116.

Abstract

OBJECTIVE

To identify patient- and practice-related factors associated with potential drug interactions.

METHODS

A register analysis study in general practices in the county of Funen, Denmark. Prescription data were retrieved from a population-based prescription database (Odense University Pharmacoepidemiologic Database, OPED) covering prescriptions to all inhabitants in the county of Funen, Denmark. All individuals exposed to concurrent use of two or more drugs (polypharmacy) were identified. Combinations of drugs with potential interactions were registered and classified as major, moderate, or minor, depending on the severity of outcome and the quality of documentation. A two-level random coefficient logistic regression model was used to investigate factors related to potential drug interactions.

RESULTS

One-third of the population was exposed to polypharmacy, and 6% were exposed to potential drug interactions during 1 year. Patient factors associated with increased risk of potential drug interactions were high age, a high number of concurrently used drugs, and a high number of prescribers. Practice factors associated with potential drug interactions were a high percentage of elderly patients and a low percentage of female patients listed.

CONCLUSION

Prescription data may be useful in quality-improvement programmes to identify groups of patients and practices at increased risk of drug interactions.

摘要

目的

确定与潜在药物相互作用相关的患者及医疗实践因素。

方法

在丹麦菲英岛的普通医疗实践中进行一项登记分析研究。处方数据取自一个基于人群的处方数据库(欧登塞大学药物流行病学数据库,OPED),该数据库涵盖了丹麦菲英岛所有居民的处方。识别出所有同时使用两种或更多药物(多重用药)的个体。对具有潜在相互作用的药物组合进行登记,并根据结果的严重程度和文献质量分为主要、中度或轻微。使用两级随机系数逻辑回归模型来研究与潜在药物相互作用相关的因素。

结果

三分之一的人群存在多重用药情况,1年内有6%的人暴露于潜在的药物相互作用。与潜在药物相互作用风险增加相关的患者因素包括高龄、同时使用的药物数量多以及开处方的医生数量多。与潜在药物相互作用相关的医疗实践因素包括老年患者比例高和列出的女性患者比例低。

结论

处方数据可能有助于质量改进计划,以识别药物相互作用风险增加的患者群体和医疗实践。

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