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即时检测不依从性:电子处方数据库的质量、强度和弱点。

Instantaneous detection of nonadherence: quality, strength, and weakness of an electronic prescription database.

机构信息

Department of Medicine/Geriatrics, Aarhus University Hospital, Aarhus, Denmark.

出版信息

Pharmacoepidemiol Drug Saf. 2012 Mar;21(3):323-8. doi: 10.1002/pds.2351. Epub 2012 Jan 4.

Abstract

BACKGROUND

The "personal electronic medicine profile" (PEM) is a Web-based tool for electronic prescription and monitoring of purchased medicine. It is based on the National Prescription Database and contains data on all prescriptions in Denmark. It includes information on time of drug purchase, number of tablets, and prescribed daily dosage. This allows calculation of the expected time for new purchases.

PURPOSE

To study the accuracy of the PEM as a tool for monitoring drug nonadherence as compared with pill counts (PCs).

METHODS

Five hundred eighty-three randomly selected elderly Danish citizens older than 65 years taking more than four drugs were studied. They were visited three times by a nurse who counted their medicine supply. Contingency table analysis was used to compare drug nonadherence calculated from PC with that revealed by PEM. For PC and PEM, an adherence level of at least 80% was defined as acceptable.

RESULTS

PEM could not accurately process (non)adherence in 44% of all drugs. The probability of identifying drug nonadherence with PEM was low (negative predictive value 23%). Incomplete prescription information (34%) and inaccurate dosage registration (10%) were the major sources of error.

CONCLUSION

PEM is inferior to PC for accurate monitoring of drug nonadherence. The inaccuracy is due to erroneous prescription information. PEM could be a powerful tool for electronic monitoring of drug nonadherence if prescription information was recorded uniformly and correctly. To increase the accuracy, we recommend informal free-text dosing instruction to be translated into a formal one by use of appropriate software such as library of phrases.

摘要

背景

“个人电子病历”(PEM)是一种基于网络的电子处方和购药监控工具。它基于国家处方数据库,包含丹麦所有处方的信息。它包括购药时间、片数和规定的日剂量等信息。这允许计算新购药的预期时间。

目的

研究 PEM 作为监测药物不依从性的工具的准确性,与药片计数(PC)进行比较。

方法

研究了 583 名随机选择的年龄在 65 岁以上、服用超过四种药物的丹麦老年人。他们由一名护士三次上门访问,护士会清点他们的药物供应。使用列联表分析比较从 PC 和 PEM 计算出的药物不依从性。对于 PC 和 PEM,至少 80%的依从水平被定义为可接受的。

结果

PEM 无法准确处理(非)所有药物中的 44%的依从性。使用 PEM 识别药物不依从的概率较低(阴性预测值 23%)。不完整的处方信息(34%)和不准确的剂量登记(10%)是主要的错误来源。

结论

PEM 不如 PC 准确监测药物不依从性。不准确是由于处方信息错误。如果处方信息被统一、正确地记录,PEM 可以成为电子监测药物不依从性的有力工具。为了提高准确性,我们建议将非正规的自由文本剂量说明翻译成正式的剂量说明,可使用短语库等适当的软件来完成。

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