HIV TREATMENT ADHERENCE AMONG ALCOHOL ABUSERS
HIV TREATMENT ADHERENCE AMONG ALCOHOL ABUSERS
批准号:
2894271
负责人:
RONALD D STALL
金额:
$66.71万
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
中文摘要
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
坚持,从而降低艾滋病毒血清反应阳性者的艾滋病毒载量水平
酗酒者
我们将进行一项随机试验,
(N=617)。 从社会行动理论衍生出来的干预,
包括一系列的六个单独的会议。 我们将测试
通过比较常规治疗和
按可检测艾滋病毒的流行率(和水平)分列的干预组
血液中的载量、血液中的CD 4计数水平和较高的自身免疫缺陷发生率。
报告坚持抗病毒治疗方案。 评价
参与者将在一年内每隔三个月参加一次,
五次数据收集的浪潮。 具体来说,假设是
测试是,干预组将有较低的患病率,
可检测到的HIV病毒载量,较高的CD 4计数和较高的自我-
报告在Waves 2-5时坚持抗病毒治疗方案。
我们不仅能够确定自我报告的
参加艾滋病毒治疗的人中,
但我们也将能够衡量
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
生物医学结果的措施,我们将能够确定是否
建议的干预措施导致行为上可取的,
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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