Johnston Stephen S, Juday Timothy, Seekins Daniel, Espindle Derek, Chu Bong-Chul
Thomson Reuters, 4301 Connecticut Ave. N.W., Ste. 330, Washington, DC 20008, USA.
J Manag Care Pharm. 2012 Mar;18(2):129-45. doi: 10.18553/jmcp.2012.18.2.129.
In treatment of human immunodeficiency virus (HIV), high levels of adherence to combination antiretroviral therapy (cART) are required to prevent failure of virologic suppression, development of drug resistance, and permanent loss of therapeutic options. No published research has assessed the association between cART prescription cost sharing and adherence to cART.
To analyze the association between cART prescription cost sharing and adherence to initial cART in commercially insured antiretroviral (ARV)-naïve patients with HIV.
This retrospective observational cohort study used 2002-2008 data from a large U.S. claims database of more than 56 million commercially insured individuals. Study subjects were patients aged 18 years or older who initiated cART during the period January 1, 2003, to December 31, 2007, had no ARV claims during the 6-month period prior to the initiation date, and had at least 1 ICD-9-CM diagnosis code for HIV infection (042, 795.71, V08) from 12 months before to 12 months after cART initiation. A minimum 12-month period of continuous enrollment after cART initiation was used to construct a patient-quarter repeated measures panel dataset in which each quarter of data that a patient contributed represented an observation. The evaluation period extended from cART initiation until the occurrence of 1 of the following events: addition of an ARV that was not part of the initial cART regimen, 30-day gap in possession of an ARV within the initiated cART regimen, hospitalization of 30 or more days, loss to follow-up due to study end (December 31, 2008), or disenrollment. The study's outcome was quarterly adherence to cART, defined as the number of days within the quarter that a patient possessed all components of the initial cART regimen. Each patient's cART cost-sharing amount was calculated per 30-day supply of the entire cART regimen. Adherence was dichotomized for analysis at the clinically meaningful thresholds of 95% and 78%. The dichotomized adherence outcomes were separately modeled using population-averaged generalized estimating equations (GEEs) with time-varying and time-constant covariates and an exchangeable working correlation structure. Independent variables included cost-sharing amount; sequential quarter number after cART initiation; interaction between cost-sharing amount and sequential quarter number (to capture any changes in the association of cost sharing with adherence that may occur over time after initiation of cART); and patient demographic, clinical, and insurance characteristics. For each sequential quarter after cART initiation, the GEE models were used to generate average predicted probabilities of adherence reaching each threshold (95% and 78%) at cost-sharing levels of $25, $75, and $144, which represented the 25th, 75th, and 90th percentiles of the cost-sharing distribution, respectively.
The study sample included 19,199 patient-quarters and 3,731 patients: mean age 41.1 years; 83.2% male; mean (SD) duration of post-index period 5.1 (4.2) quarters; mean (SD) daily cART pill count 3.2 (2.2); mean (median) cost sharing per 30-day supply of the entire cART regimen $67 ($40). In the unadjusted analyses of patient-quarters, mean adherence ranged from 97.2% for cost-sharing levels within the 0-20th percentiles (from $0 to $20 per 30-day cART supply) to 94.0% for cost-sharing levels exceeding the 80th percentile (from $84 to $3,832 per 30-day cART supply). In the adjusted analyses for the second quarter (25th percentile of follow-up duration, n = 3,117 cases still under observation) at the cost-sharing levels of $25, $75, and $144, the predicted probabilities of at least 95% adherence were 0.782, 0.770, and 0.752, respectively, and the predicted probabilities of at least 78% adherence were 0.936, 0.931, and 0.924, respectively. The differences in the predicted probabilities of adherence grew over time. By the seventh quarter (the 75th percentile of follow-up duration, n = 1,096 cases still under observation), the predicted probabilities were 0.773, 0.746, and 0.707 for 95% adherence and 0.933, 0.922, and 0.904 for 78% adherence at cost-sharing levels of $25, $75, and $144, respectively.
Increasing cART prescription cost sharing was associated with modestly decreased probability of maintaining clinically meaningful levels of cART adherence.
在人类免疫缺陷病毒(HIV)治疗中,需要高度坚持联合抗逆转录病毒疗法(cART),以防止病毒抑制失败、耐药性产生以及治疗选择的永久丧失。尚无已发表的研究评估cART处方费用分担与坚持cART之间的关联。
分析在商业保险的初治HIV抗逆转录病毒(ARV)患者中,cART处方费用分担与坚持初始cART之间的关联。
这项回顾性观察队列研究使用了来自美国一个大型理赔数据库的2002 - 2008年数据,该数据库包含超过5600万商业保险个体。研究对象为年龄在18岁及以上的患者,他们在2003年1月1日至2007年12月31日期间开始接受cART治疗,在开始日期前6个月内无ARV理赔记录,并且在cART开始前12个月至开始后12个月期间至少有1个HIV感染的ICD - 9 - CM诊断代码(042、795.71、V08)。cART开始后至少12个月的连续参保期用于构建患者 - 季度重复测量面板数据集,其中患者贡献的每季度数据代表一次观察。评估期从cART开始直至发生以下事件之一:添加不属于初始cART方案的ARV、初始cART方案中ARV持有出现30天的间断、住院30天或更长时间、因研究结束(2008年12月31日)失访或退出参保。研究的结局是每季度对cART的坚持情况,定义为患者在该季度内持有初始cART方案所有成分的天数。每位患者的cART费用分担金额按整个cART方案每30天供应量计算。在95% 和78% 这两个具有临床意义的阈值处将坚持情况进行二分法分析。使用具有随时间变化和时间恒定协变量以及可交换工作相关结构的总体平均广义估计方程(GEEs)分别对二分后的坚持结局进行建模。自变量包括费用分担金额;cART开始后的连续季度数;费用分担金额与连续季度数之间的交互作用(以捕捉cART开始后随时间可能发生的费用分担与坚持之间关联的任何变化);以及患者的人口统计学、临床和保险特征。对于cART开始后的每个连续季度,GEE模型用于生成在费用分担水平为25美元、75美元和144美元时坚持达到每个阈值(95% 和78%)的平均预测概率,这分别代表费用分担分布的第25、75和90百分位数。
研究样本包括19199个患者 - 季度和3731名患者:平均年龄41.1岁;83.2% 为男性;索引期后平均(标准差)持续时间为5.1(4.2)个季度;整个cART方案每30天供应量的平均(中位数)费用分担为67美元(40美元)。在对患者 - 季度的未调整分析中,费用分担水平在第0 - 20百分位数(每30天cART供应量从0美元到20美元)内时,平均坚持率为97.2%,费用分担水平超过第80百分位数(每30天cART供应量从84美元到3832美元)时,平均坚持率为94.0%。在第二季度(随访持续时间的第25百分位数,n = 3117例仍在观察)的调整分析中,在费用分担水平为25美元、75美元和144美元时,至少95% 坚持的预测概率分别为0.782、0.770和0.752,至少78% 坚持的预测概率分别为0.936、0.931和0.924。坚持的预测概率差异随时间增加。到第七季度(随访持续时间的第75百分位数,n = 1096例仍在观察),在费用分担水平为25美元、75美元和144美元时,95% 坚持的预测概率分别为0.773、0.746和0.707,78% 坚持的预测概率分别为0.933、0.922和0.904。
cART处方费用分担增加与维持具有临床意义的cART坚持水平的概率适度降低相关。