Department of Clinical Epidemiology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Clin Epidemiol. 2012;4:13-8. doi: 10.2147/CLEP.S26958. Epub 2012 Jan 5.
Epidemiologic studies often rely on drug dispensation records to measure medication intake. We aimed to estimate correspondence between general practitioner (GP)-reported treatment and timing of prescription dispensation. From seven GPs in northern Denmark, we obtained 317 prescription records for 286 patients treated with ten commonly prescribed medication types for chronic diseases. We linked the GP-reported information to the regional prescription database to retrieve patients' prescription records both prospectively and retrospectively in relation to the GP-reported date of treatment (index date, August 20, 2008 for all patients). We computed overall and medication-specific correspondence between GP-reported treatment and the timing of dispensation. We computed correspondence based on both exact medication and therapeutic subgroup agreement. The correspondence for dispensation within ±90 days of GP-reported treatment was 0.81 (95% confidence interval = 0.76-0.85) with variation by medication type, ranging from 0.55 for ACE-inhibitors to 1.00 for oral glucose-lowering agents. The correspondence was greater when analyzed within therapeutic groups than when analyzed for exact medications within these groups.
流行病学研究通常依赖于药物配给记录来衡量药物摄入情况。我们旨在估计全科医生(GP)报告的治疗方法与处方配药时间之间的一致性。我们从丹麦北部的 7 位全科医生那里获得了 286 名患者的 317 份处方记录,这些患者接受了十种常见的慢性病处方药物治疗。我们将 GP 报告的信息与区域处方数据库相关联,以便根据 GP 报告的治疗日期(所有患者为 2008 年 8 月 20 日)前瞻性和回顾性地检索患者的处方记录。我们计算了 GP 报告的治疗方法与配药时间之间的总体和药物特异性一致性。我们根据药物和治疗亚组的精确一致性来计算一致性。在 GP 报告的治疗日期前后 90 天内配药的一致性为 0.81(95%置信区间为 0.76-0.85),药物类型存在差异,从 ACE 抑制剂的 0.55 到口服降血糖药的 1.00。在分析治疗亚组内的药物时,一致性大于在分析这些亚组内的精确药物时。