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HIV TREATMENT ADHERENCE AMONG ALCOHOL ABUSERS

HIV TREATMENT ADHERENCE AMONG ALCOHOL ABUSERS
酗酒者对艾滋病毒治疗的依从性
批准号:
2793371
负责人:
RONALD D STALL
金额:
$64.51万
依托单位国家:
美国
项目类别:
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-09-29 至 2002-06-30

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项目成果

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中文摘要
翻译
这项拟议研究的目标是进行一项随机试验, 旨在提高艾滋病毒抗逆转录病毒治疗水平的干预措施 依从性,从而降低HIV血清阳性者的HIV病毒载量水平 酗酒者。 我们将对依从性干预进行随机试验 617例。源于社会行动理论的干预将 由一系列六个单独的会议组成。我们将测试 常规治疗与常规治疗干预效果的比较 按可检测到的艾滋病毒病毒流行率(和水平)划分的干预措施 血液中的负荷量,血液中的CD4计数水平和更高的自我 报告坚持使用抗病毒治疗方案。对该计划的评估 参与者将每隔三个月举行一次,为期一年,总计 五次数据收集的浪潮。具体地说,假设是 经测试,干预组将有较低的患病率 可检测到的艾滋病毒病毒载量,更高的CD4计数和更高的自杀率 据报道,在第2-5波期间坚持使用抗病毒治疗方案。 我们将不仅能够确定自我报告的水平 在参与艾滋病毒治疗的人中提高了对艾滋病毒治疗的依从性 但我们也将能够衡量是否有 干预组血浆HIV病毒载量降低。通过使用 自我报告行为数据(通过MEMS Caps数据确认)和 生物医学结果指标,我们将能够确定是否 拟议的干预措施导致行为合意和 具有医学意义的结果。
英文摘要
The goal of this proposed study is to conduct a randomized trial of an intervention designed to raise levels of HIV antiretroviral treatment adherence and thereby lower HIV viral load levels among HIV seropositive alcohol abusers. We will conduct a randomized trial of the adherence intervention (N=617). The intervention, derived from social action theory will consist of a series of six individual sessions. We will test the efficacy of the intervention by comparing the regular treatment and intervention arms by prevalence (and level of) detectable HIV viral loads in blood, level of CD4 counts in blood and higher rates of self- reported adherence to antiviral treatment regimens. Evaluation of the participants will occur at three month intervals for a year, for a total of five waves of data collection. Specifically, the hypotheses to be tested are that the intervention group will have a lower prevalence of detectable HIV viral loads, higher CD4 counts and higher rates of self- reported adherence to antiviral treatment regimens at Waves 2-5. We will be able to determine not only whether self-reported levels of adherence to HIV treatments are raised among those who participate in the intervention but we will also be able to measure whether levels of plasma HIV viral load are lowered in the intervention group. By using both self-report behavioral data (confirmed through MEMS Caps data) and biomedical outcome measures, we will be able to determine whether the proposed intervention results in both behaviorally-desirable and medically-meaningful outcomes.
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