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首页> 外文期刊>Pharmacoepidemiology and drug safety >Instantaneous detection of nonadherence: quality, strength, and weakness of an electronic prescription database.
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Instantaneous detection of nonadherence: quality, strength, and weakness of an electronic prescription database.

机译:即时检测是否存在不遵守情况:电子处方数据库的质量,优点和缺点。

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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.To study the accuracy of the PEM as a tool for monitoring drug nonadherence as compared with pill counts (PCs).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.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.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.
机译:“个人电子药品档案”(PEM)是基于Web的工具,用于电子处方和所购药品的监控。它基于国家处方数据库,包含丹麦所有处方的数据。它包括有关药物购买时间,片剂数量和规定的每日剂量的信息。这样就可以计算出新购买药物的预期时间。研究PEM作为监测药物不依从性的工具与药丸计数(PCs)相比的准确性.533个年龄在65岁以上的丹麦老年人随机抽取,花费更多研究了四种药物。护士对他们进行了三次拜访,并计算了他们的药品供应量。列联表分析用于比较PC和PEM揭示的药物不依从性。对于PC和PEM,至少80%的依从性水平被定义为可接受.PEM无法准确处理所有药物中44%的依从性。用PEM识别药物不依从的可能性很低(阴性预测值23%)。错误的主要原因是处方信息不完整(34%)和剂量注册不正确(10%)。PEM在准确监测药物不依从性方面不如PC。不正确是由于错误的处方信息。如果处方信息被一致且正确地记录,PEM可能是用于电子监控药物不依从性的强大工具。为了提高准确性,我们建议使用适当的软件(例如词组库)将非正式的自由文本剂量说明翻译成正式的剂量说明。

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