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首页> 外文期刊>BMC Medical Informatics and Decision Making >Linking community pharmacy dispensing data to prescribing data of general practitioners
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Linking community pharmacy dispensing data to prescribing data of general practitioners

机译：将社区药房配药数据与全科医生处方数据链接

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Background Databases are frequently used for pharmacoepidemiological research. However, most of these databases consist either of prescribing, dispensing or administrative data and therefore lack insight in the interaction between the several health professionals around the patient. Methods To determine the success rate of linking records from the dispensing database of the Foundation for Pharmaceutical Statistics to the prescribing database of the second Dutch national survey of general practice, conducted by NIVEL (Netherlands Institute for Health Services Research), a deterministic record linkage approach was used with patient and prescription characteristics as matching variables between the two databases. Results The catchment area included 123 community pharmacies, 90 GP practices and approximately 170,000 unique patients. Overall 110,102 (64.8%) unique patients were linked using the matching variables patient's gender, year of birth, the 4-digit part of the postal code, date of dispensing/prescribing and ATC-code. The final database contains of the 110,102 both prescribing data from 83 GP practices and dispensing data of 112 community pharmacies. Conclusion This study shows that linkage of dispensing to prescribing data is feasible with a combination of patient characteristics, such as gender, year of birth and postal code, and prescription characteristics like prescription date and ATC-code. We obtained a linkage proportion of 64.8% resulting in complete prescribing and dispensing history of 110,102 patients. This offers an opportunity to gain insight in the mechanisms and factors influencing drug utilisation in general practice.
机译：背景数据库经常用于药物流行病学研究。然而，这些数据库中的大多数都由处方，分配或管理数据组成，因此缺乏对患者周围几名卫生专业人员之间互动的了解。方法为了确定将药物统计基金会的配药数据库中的记录链接到由NIVEL（荷兰卫生服务研究所）进行的第二次荷兰全国通用实践全国调查处方数据库的确定性链接方法的成功率与患者和处方特征一起用作两个数据库之间的匹配变量。结果集水区包括123家社区药房，90名全科医生和大约170,000名独特患者。使用匹配变量将患者的性别，出生年月，邮政编码的4位数字，配药/开药日期和ATC代码链接到110,102名（64.8％）的独特患者中。最终数据库包含110,102个来自83个GP诊所的处方数据和112个社区药房的配药数据。结论该研究表明，结合患者特征（例如性别，出生年份和邮政编码）以及处方特征（例如处方日期和ATC编码），将配药与处方数据联系起来是可行的。我们获得的连锁比例为64.8％，从而导致110,102名患者的完整处方和配药史。这为了解一般实践中影响药物使用的机制和因素提供了机会。

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