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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:瞬时检测非正畸:电子处方数据库的质量,力量和弱点。

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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:“个人电子医学概况”(PEM)是一种基于网络的电子处方和监测购买药物的工具。它基于国家处方数据库,并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。这允许计算新购买的预期时间。与药丸数量(PC)相比,研究PEM作为监测药物不正常的工具的准确性。百八十三名随机选择的老年丹麦公民超过65岁研究了四种药物。他们被一名注重其药物供应的护士访问了三次。应急表分析用于比较由PEM透露的PC计算的药物不正常。对于PC和PEM,至少80%的粘附水平被定义为可接受的.PEM不能准确地处理所有药物的44%的依从性。用PEM鉴定药物不正常的可能性低(负预测值23%)。不完全处方信息(34%)和不准确的剂量注册(10%)是错误的主要来源。PEM不如PC,以准确监测药物不正常。不准确的是由于错误的处方信息。如果统一正确录制了处方信息,PEM可能是一种强大的电子监测药物不正常的工具,如果均匀且正确地记录了处方信息。为了提高准确性,我们建议使用适当的软件(如短语图书馆)翻译成正式的自由文本给药指令。

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