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住院对理赔数据中药物依从性估计的影响。

Impact of hospitalization on medication adherence estimation in claims data.

作者信息

Dong Y-H, Choudhry N K, Krumme A, Lee M P, Wu L-C, Lai M-S, Gagne J J

机构信息

Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Faculty of Pharmacy, School of Pharmaceutical Science, National Yang-Ming University, Taipei, Taiwan.

出版信息

J Clin Pharm Ther. 2017 Jun;42(3):318-328. doi: 10.1111/jcpt.12517. Epub 2017 Mar 29.

Abstract

WHAT IS KNOWN AND OBJECTIVE

Pharmacy claims are commonly used to assess medication adherence. It is unclear how different approaches to handling hospitalizations compare to the gold standard of using outpatient and inpatient drug data. This study aimed to compare the impact of different approaches to handling hospitalizations on medication adherence estimation in administrative claims data.

METHODS

We identified β-blocker initiators after myocardial infarction (MI) and statin initiators regardless of hospitalization histories in the population-based, Taiwan database, which includes outpatient and inpatient drug claims data. Adherence to β-blockers or to statins during a 365-day follow-up period was estimated in outpatient pharmacy claims using the proportion of days covered (PDC) in three ways: ignoring hospitalizations (PDC1); subtracting hospitalized days from the denominator (PDC2); and assuming drug use on all hospitalized days (PDC3). We compared these to an approach that incorporated inpatient drug use (PDC4). We also used a hypothetical example to examine variations across approaches in several scenarios, such as increasing hospitalized days.

RESULTS AND DISCUSSION

Mean 365-day PDC was 74% among 1729 post-MI β-blocker initiators (range: 73.1%-74.9%) and 44% among 69 435 statins initiators (range: 43.5%-44.0%), which varied little across approaches. Differences across approaches increased with increasing number of hospitalized days. For patients hospitalized for >28 days, mean difference across approaches was >15%. PDC3 consistently yielded the highest value and PDC1 the lowest.

WHAT IS NEW AND CONCLUSIONS

On average, different approaches to handling hospitalizations lead to similar adherence estimates to the gold standard of incorporating inpatient drug use. When patients have many hospitalization days during follow-up, the choice of approach should be tailored to the specific setting.

摘要

已知信息与研究目的

药房报销数据常用于评估药物依从性。目前尚不清楚处理住院情况的不同方法与使用门诊和住院药物数据的金标准相比效果如何。本研究旨在比较处理住院情况的不同方法对行政报销数据中药物依从性估计的影响。

方法

在基于人群的台湾数据库中,我们确定了心肌梗死(MI)后开始使用β受体阻滞剂的患者以及无论住院史如何的他汀类药物起始使用者,该数据库包含门诊和住院药物报销数据。在门诊药房报销数据中,通过三种方式使用覆盖天数比例(PDC)来估计365天随访期内对β受体阻滞剂或他汀类药物的依从性:忽略住院情况(PDC1);从分母中减去住院天数(PDC2);以及假设所有住院日都使用药物(PDC3)。我们将这些方法与纳入住院药物使用情况的方法(PDC4)进行比较。我们还使用了一个假设示例来研究在几种情况下不同方法之间的差异,例如住院天数增加的情况。

结果与讨论

在心肌梗死后开始使用β受体阻滞剂的1729名患者中,365天平均PDC为74%(范围:73.1% - 74.9%),在69435名他汀类药物起始使用者中为44%(范围:43.5% - 44.0%),不同方法之间差异不大。随着住院天数的增加,不同方法之间的差异增大。对于住院超过28天的患者,不同方法之间的平均差异>15%。PDC3始终产生最高值,PDC1产生最低值。

新发现与结论

平均而言,处理住院情况的不同方法导致的依从性估计与纳入住院药物使用情况的金标准相似。当患者在随访期间有较多住院天数时,应根据具体情况选择合适的方法。

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