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首页> 外文期刊>International Journal of Population Data Science >Linkage of Primary Care Prescribing Records and Pharmacy Dispensing Records in Asthma Controller Medications
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Linkage of Primary Care Prescribing Records and Pharmacy Dispensing Records in Asthma Controller Medications

机译：初级保健规定记录和药房分配记录在哮喘控制器药物中的联系

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Background In the UK, issued prescriptions are typically taken to pharmacies, where medications are prepared, recorded, and dispensed. Data Linkage between prescribing and pharmacy dispensing records is not routinely conducted at the individual prescription level for clinical care in England and Wales, however it can be particularly useful for the study of pharmacoepidemiology. With no unique prescribing event identifiers between records, an algorithmic approach is required for this linkage. Aims To create a linkage system for primary care prescribed asthma controller medications and pharmacy dispensing records. Methods Free text labels were used to populate fields for data linkage, relating to medication strength, medication type (active ingredients; allows matching of generic substitutions to named brands), doses per medication unit, prescribed units, and prescribed doses. Prescribing and dispensing records were merged using an inner (many to many) join; generating a candidate link for every combination of records matching on unique patient identifier and medicine. A recursive algorithm was developed and applied, working backwards chronologically through dispensing records and finding the most appropriate match based on the time since prescribing and agreement between the medication description fields. Unmatched records were assessed for quality assurance, and the distribution of linkage strength for matches was examined. Results We developed a harmonisation algorithm in a dataset of over 3 million asthma controller medication prescription records, for which almost 3 in 4 were coded according to the number of units (predominantly inhalers). Incorporating the estimated number of doses prescribed/dispensed into our wider matching algorithm, we were able to find unique prescription records for almost 95% of our dispensing records. Conclusion Early findings demonstrate the accuracy of the developed algorithm linking prescribing and dispensing records. This algorithm can easily be generalised to other conditions.
机译：背景技术在英国，已发行的处方通常采用药房，其中制备，记录和分配药物。处方和药房分配记录之间的数据联动不常规于英格兰和威尔士的临床护理进行临床护理，但对于药物病变学特别有用。在记录之间没有唯一的规定事件标识符，此链接需要算法方法。旨在为初级保健规定的哮喘控制器药物和药房分配记录创建联系系统。方法使用自由文本标签用于填充数据链接的田地，与药物强度，药物类型（活性成分;允许通用替代品匹配为命名品牌），每种药物单位，规定单位和规定剂量。使用内在（许多多达许多）的联接合并规定和分配记录;为在独特的患者标识符和药物上匹配的每个记录组合生成候选链接。开发和应用递归算法，按时间顺序向后工作，并根据分配记录并根据药物描述字段之间的处方和协议以来找到最合适的匹配。对质量保证的评估进行了无与伦比的记录，检查了匹配的连锁强度分布。结果我们在多个哮喘控制器药物药物中的数据集中开发了一个统一算法，其中几乎3中的4个以根据单位数（主要吸入器）编码。将估计的剂量数纳入我们更广泛的匹配算法，我们能够找到近95％的拨备记录的独特处方记录。结论早期调查结果证明了连锁开发算法的准确性，这些算法连接规定和分配记录。该算法可以容易地推广到其他条件。

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