Analysis of HIV medication adherence in relation to person and treatment characteristics using hierarchical linear modeling
Analysis of HIV medication adherence in relation to person and treatment characteristics using hierarchical linear modeling
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DOI：
10.1089/apc.2007.0122
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发表时间：
2008-04-01
影响因子：
4.9
通讯作者：
Mukherjee, Preetika
中科院分区：
文献类型：
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作者：
Halkitis, Perry;Palamar, Joseph;Mukherjee, Preetika
这项调查的目的是考虑人的特征，治疗水平的变量，和非法药物的使用，以帮助解释艾滋病毒抗病毒药物的坚持模式，以社区为基础的，非药物治疗寻求样本的男男性行为者（MSM）。依从性数据收集了300男男性接触者在1年的过程中，使用电子监测8倍。在基线评估时使用计算机管理的调查评估治疗和个人水平特征，并通过诊断清单确定药物使用。这些纵向数据通过分层线性模型进行分析。样本在年龄和种族/民族方面多样化。在对参与者进行评估的一年中，每个时间点的依从率相对稳定且较高（平均值：82%至90%），并且在长达一年的调查中保持相对稳定。较低的依从率在那些吸毒者、黑人（种族）、老年人和药丸负担中是明显的。艾滋病毒抗逆转录病毒治疗的个人表现出一致的，但不是最佳的依从率时，在一年的过程中进行评估。许多个人层面的因素，如年龄，种族和药物使用的重要性表明，坚持治疗可能会部分地受到个人带来的治疗行为的情况的影响，并建议干预措施，深入到行为之外，考虑和解决可能干扰坚持行为的生活社会和个人内部的情况。
The purpose of this investigation was to consider person characteristics, treatment level variables, and illicit drug use to help explain the HIV antiviral adherence patterns of a community-based, non-drug-treatment-seeking sample of men who have sex with men (MSM). Adherence data were gathered for 300 MSM eight times over the course of 1 year using electronic monitoring. Treatment and person level characteristics were assessed at baseline assessment using computer-administered surveys, and drug usage was established via a diagnostic inventory. These longitudinal data were analyzed via Hierarchical Linear Modeling. The sample was diverse in terms of age and race/ethnicity. Across the span of the year in which the participants were assessed, adherence rates were relatively stable and high (means: 82% to 90%) at each time point and remained relatively stable across the yearlong investigation. Lower adherence rates were evident among those who were drug users, black identified (in terms of race), older, and by pill burden. Individuals on HIV antiretroviral therapy demonstrated consistent although not optimal adherence rates when assessed during the course of a year. The significance of numerous person level factors such as age, race, and drug use suggest that adherence to treatment may in part be impacted by the circumstances that the individual brings to the treatment behavior, and suggests interventions that delve beyond the behavioral to consider and address life social and intrapersonal circumstances that may interfere with adherence behaviors.