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Generating psychotropic drug exposure data from computer-based medical records.

机译:从基于计算机的医疗记录中生成精神药物暴露数据。

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摘要

PURPOSE: To develop a methodology for extracting psychotropic drug exposure data from computer-based medical records and for generating drug exposure variables suitable for secondary use. METHODS: In South-Verona, Italy, a registry including every patient receiving psychotropic medications is operating since 2004. The basic structure of the registry is the medication record. Each record stores data on a specific prescription, and patients with more than one prescription have more than one record. RESULTS: The longitudinal history of drug use was described identifying consecutive prescriptions of a specific drug, concomitant prescriptions of a specific drug and distinct prescriptions of a specific drug. Consecutive prescriptions implies that the beginning of the second prescription coincides with the end of the first prescription, concomitant prescriptions implies that the beginning of the second prescription precedes the end of the first prescription, distinct prescriptions implies that a gap of at least 1 day exists between prescriptions. Using this framework of drug representation, we identified episodes of drug therapy, where each episode is constituted of consecutive and/or concomitant prescriptions. Within each episode, prescriptions were categorised into theoretical phases, where the beginning of the new phase always coincides with the end of the previous phase. On the basis of this data representation, a module operating in Access and using Visual Basic for Applications was developed for creating episodes and phases on a routine basis (available from authors). A graphical representation of this conceptual model is presented. CONCLUSION: The development of a simple methodology for extracting and generating drug exposure data suitable for secondary use will allow a better understanding of the beneficial and adverse consequences of psychotropic drug use in ordinary practice.
机译:目的:开发一种从基于计算机的医疗记录中提取精神药物暴露数据并生成适合二次使用的药物暴露变量的方法。方法:自2004年以来,在意大利南维罗纳,包括每位接受精神药物的患者在内的登记处都在运作。登记处的基本结构是用药记录。每条记录存储有关特定处方的数据,并且具有多个处方的患者具有多个记录。结果:描述了药物使用的纵向历史,以识别特定药物的连续处方,特定药物的伴随处方和特定药物的不同处方。连续处方意味着第二个处方的开始与第一个处方的结束重合,伴随处方意味着第二个处方的开始在第一个处方的末尾之前,不同处方意味着两个处方之间存在至少1天的间隔处方。使用这种药物表征框架,我们确定了药物治疗的发作,其中每个发作均由连续和/或伴随的处方组成。在每个情节中,处方都分为理论阶段,新阶段的开始总是与前一阶段的结束相吻合。基于此数据表示,开发了一个在Access中运行并使用Visual Basic for Applications的模块,用于按常规创建情节和阶段(可从作者处获得)。给出了该概念模型的图形表示。结论:开发一种简单的方法来提取和产生适合二次使用的药物暴露数据,将使人们更好地了解精神药物在一般实践中的利弊。

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