*Department of Health Services, Policy & Practice, Brown University School of Public Health, Brown University, Providence, RI; †Massachusetts General Hospital, Center for Global Health; Ragon Institute of MGH, MIT, and Harvard; Harvard Medical School, Boston, MA; ‡Division of Public Health & Community Dentistry, University of California at Los Angeles School of Dentistry, University of California at Los Angeles, Los Angeles, CA; §Department of Psychology, University of Washington, Seattle, WA; ‖School of Nursing, Yale University, New Haven, CT; ¶Division of Health Services and Outcomes Research, Children's Mercy Hospital and Clinics, University of Missouri - Kansas City, Kansas City, MO; #Department of Medicine (Infectious Diseases), Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; **Department of Medicine, Albert Einstein College of Medicine, Montifiore Hospital, Bronx, NY; ††Department of Psychiatry, Columbia University, New York City, NY; and ‡‡Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA.
J Acquir Immune Defic Syndr. 2013 Dec 15;64(5):448-54. doi: 10.1097/QAI.0000000000000025.
To use electronic drug monitoring to determine if adherence to HIV antiretroviral therapy (ART) changes over time, whether changes are linear, and how the declines vary by study.
We conducted a longitudinal study of pooled data from 11 different studies of HIV-infected adults using ART. The main outcome was ART adherence (percent of prescribed doses taken) measured by electronic drug monitoring. We modeled and compared changes in adherence over time using repeated measures linear mixed effects models and generalized additive mixed models (GAMMs). Indicator variables were used to examine the impact of individual studies, and the variation across studies was evaluated using study-specific parameter estimates calculated by using interaction terms of study and time.
The mean age of the subjects was 41 years, 35% were female, most had high school education or less, and 46% were African American. In GAMMs, adherence declined over time. The GAMMs further suggested that the decline was nonlinear, and in both sets of models, there was considerable study-to-study variability in how adherence changed over time.
Findings may not be generalizable to non-US populations or to patients not in clinical studies.
Although overall ART adherence declined with time, not all studies showed declines, and a number of patterns of change were seen. Studies that identify clinical and organizational factors associated with these different patterns are needed. Models of changes in adherence with time should take account of possible nonlinear effects.
利用电子药物监测来确定 HIV 抗逆转录病毒治疗(ART)的依从性是否随时间变化,变化是否呈线性,以及研究之间的下降程度如何。
我们对 11 项不同的 HIV 感染成人接受 ART 治疗的研究进行了汇总数据的纵向研究。主要结局是通过电子药物监测测量的 ART 依从性(服用的规定剂量百分比)。我们使用重复测量线性混合效应模型和广义加性混合模型(GAMM)来模拟和比较随时间的依从性变化。使用指示变量来检查个别研究的影响,并且通过使用研究和时间的交互项计算研究特异性参数估计值来评估研究之间的变化。
研究对象的平均年龄为 41 岁,35%为女性,大多数人具有高中或以下学历,46%为非裔美国人。在 GAMM 中,随时间的推移,依从性下降。GAMM 进一步表明,下降是非线性的,并且在这两种模型中,随时间的变化,依从性的变化在研究之间存在相当大的差异。
研究结果可能不适用于非美国人群或不在临床研究中的患者。
尽管总体上 ART 依从性随时间下降,但并非所有研究都显示下降,并且出现了多种变化模式。需要研究确定与这些不同模式相关的临床和组织因素的研究。随时间变化的依从性模型应考虑可能的非线性效应。