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比较6种慢性药物类别的依从性和持续性。

Comparing adherence and persistence across 6 chronic medication classes.

作者信息

Yeaw Jason, Benner Joshua S, Walt John G, Sian Sergey, Smith Daniel B

机构信息

IMS Health, 311 Arsenal St., Watertown, MA 02472, USA.

出版信息

J Manag Care Pharm. 2009 Nov-Dec;15(9):728-40. doi: 10.18553/jmcp.2009.15.9.728.

Abstract

BACKGROUND

The National Quality Forum recently endorsed the proportion of days covered (PDC)-a measure of medication adherence-as an indicator of quality in drug therapy management.

OBJECTIVE

To inform initial efforts to improve the quality of drug therapy management, we compared PDC and persistence among new users of 6 commonly used chronic medication categories.

METHODS

A retrospective analysis of pharmacy claims in a database of more than 64 million members enrolled in 100 health plans assessed persistence and adherence to drug therapy in 6 chronic conditions. Patients were included in the analysis if they initiated a prescription drug of interest in any of 6 drug classes-prostaglandin analogs, statins, bisphosphonates, oral antidiabetics, angiotensin II receptor blockers (ARBs), and overactive bladder (OAB) medications-between January 1 and December 31, 2005. The first claim for a drug of interest during this period was considered a patient's index date. Patients were required to have a minimum of 12 months of continuous enrollment both preceding and following their index date. New users of a treatment were identified by excluding patients who filled a prescription for any drug in the same class during the previous 12 months and were followed for a minimum of 12 months. Nonpersistence was defined as discontinuation of the therapy class following an allowed gap between refills-30-, 60-, and 90-day refill gaps were used. Adherence was defined as a continuous measure of the proportion of days covered (PDC) during the 12-month post-index period. Logistic regression analyses predicted (a) nonpersistence during the 12-month post-index period and (b) adherence (PDC) of at least 80%, with drug class as the predictor variable of interest, controlling for demographic variables, insurance and plan type, history of hospitalization, Charlson comorbidity score, copayment for index medication, and number of medications at index.

RESULTS

A total of 167,907 patients were identified across 6 cohorts. Using the 60-day gap, 6-month persistence rates were prostaglandin analogs 47%, statins 56%, bisphosphonates 56%, oral antidiabetics 66%, ARBs 63%, and OAB medications 28%. After the first 90 days of therapy, relative persistence was stable across cohorts, and rates declined consistently from 6 months post-index to study end. Logistic regression models showed that oral antidiabetic users had a 59%, 36%, 37%, and 79% decreased risk of nonpersistence in a 12-month follow-up period compared with patients taking prostaglandin analogs, statins, bisphosphonates, or OAB medications, respectively. Risk of nonpersistence decreased with increasing age. Mean (SD) 12-month adherence rates were: prostaglandin analogs 37% (26%), statins 61% (33%), bisphosphonates 60% (34%), oral antidiabetics 72% (32%), ARBs 66% (32%), and OAB medications 35% (32%). Logistic regression indicated that oral antidiabetic use was a significant predictor of adherence (PDC) of at least 80% compared with other therapy classes. Adjusted odds ratios for oral antidiabetics were 17.60 (95% confidence interval [CI] = 15.38-20.14) versus prostaglandin analogs, 2.06 (95% CI = 1.99-2.12) versus statins, 1.92 (95% CI = 1.83-2.02) versus bisphosphonates, 1.29 (95% CI = 1.24-1.34) versus ARBs, and 5.77 (95% CI = 5.38-6.19) versus OAB medications.

CONCLUSION

This analysis of adherence (PDC) and persistence across a sample of 6 chronic therapies found variable but uniformly suboptimal medication use. Adherence to prostaglandin eye drops and OAB medications was lower than to cardiovascular, oral antidiabetic, and oral osteoporosis therapies. These findings provide useful baseline information for the development of initiatives to improve the quality of drug therapy management.

摘要

背景

美国国家质量论坛最近认可了覆盖天数比例(PDC)——一种衡量药物依从性的指标——作为药物治疗管理质量的一项指标。

目的

为了指导提高药物治疗管理质量的初步工作,我们比较了6种常用慢性药物类别的新使用者的PDC和持续性。

方法

对一个包含超过6400万参加100种健康计划的成员的数据库中的药房理赔数据进行回顾性分析,评估6种慢性病的药物治疗持续性和依从性。如果患者在2005年1月1日至12月31日期间开始使用6种药物类别中的任何一种感兴趣的处方药——前列腺素类似物、他汀类药物、双膦酸盐、口服抗糖尿病药物、血管紧张素II受体阻滞剂(ARB)和膀胱过度活动症(OAB)药物,那么他们就被纳入分析。在此期间首次开具感兴趣药物的处方被视为患者的索引日期。患者在索引日期之前和之后都需要至少连续参保12个月。通过排除在过去12个月内曾为同一类别的任何药物开过处方的患者来确定新的治疗使用者,并对其进行至少12个月的随访。非持续性被定义为在允许的续方间隔后停止治疗类别——使用30天、60天和90天的续方间隔。依从性被定义为索引日期后12个月期间覆盖天数比例(PDC)的连续测量值。逻辑回归分析预测(a)索引日期后12个月期间的非持续性,以及(b)至少80%的依从性(PDC),将药物类别作为感兴趣的预测变量,同时控制人口统计学变量、保险和计划类型、住院史、查尔森合并症评分、索引药物的自付费用以及索引时的药物数量。

结果

在6个队列中总共识别出167907名患者。使用60天的间隔,6个月的持续性率分别为:前列腺素类似物47%,他汀类药物56%,双膦酸盐56%,口服抗糖尿病药物66%,ARB 63%,OAB药物28%。在治疗的前90天后,各队列的相对持续性稳定,且从索引日期后6个月到研究结束,持续性率持续下降。逻辑回归模型显示,与使用前列腺素类似物、他汀类药物、双膦酸盐或OAB药物的患者相比,口服抗糖尿病药物使用者在12个月的随访期内非持续性风险分别降低了59%、36%、37%和79%。非持续性风险随着年龄的增加而降低。平均(标准差)12个月的依从率分别为:前列腺素类似物37%(26%),他汀类药物61%(33%),双膦酸盐60%(34%),口服抗糖尿病药物72%(32%),ARB 66%(32%),OAB药物35%(32%)。逻辑回归表明,与其他治疗类别相比,使用口服抗糖尿病药物是依从性(PDC)至少为80%的显著预测因素。口服抗糖尿病药物的调整优势比与前列腺素类似物相比为17.60(95%置信区间[CI]=15.38 - 20.14),与他汀类药物相比为2.06(95%CI = 1.99 - 2.12),与双膦酸盐相比为1.92(95%CI = 1.83 - 2.02),与ARB相比为1.29(95%CI = 1.24 - 1.34),与OAB药物相比为5.77(95%CI = 5.38 - 6.19)。

结论

对6种慢性治疗样本的依从性(PDC)和持续性的这项分析发现,药物使用情况存在差异但均未达到最佳水平。与心血管、口服抗糖尿病和口服骨质疏松症治疗相比,前列腺素眼药水和OAB药物的依从性较低。这些发现为制定提高药物治疗管理质量的举措提供了有用的基线信息。

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