课题基金 / 基金详情

FAMILY BASED VERSUS ADOLESCENT RESIDENTIAL DRUG TREATMENT

FAMILY BASED VERSUS ADOLESCENT RESIDENTIAL DRUG TREATMENT
基于家庭的药物治疗与青少年住宅药物治疗
批准号:
6571851
负责人:
Howard Arthur Liddle
金额:
$16.54万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-03-01 至 2004-02-29

项目摘要

项目成果

Howard Arthur Liddle的其他基金

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中文摘要
翻译
在过去的几年里,来自全国样本的统计数据很高 学龄儿童表明,药物使用率出现了惊人的增长。这个 拟议研究的主要目的是:1)通过实验比较 以家庭为基础的多维家庭治疗的效果 (MDFT),青少年住宿治疗,青少年治疗 计划(ATP),在改善药物使用和共病症状方面 被诊断为双重诊断的青少年;2)确定每个人 治疗达到其效果;以及3)检查成本效益和 每种治疗的成本抵消。ATP是一个多方面的住宅 基于社会学习方法的治疗。MDFT是一个多维的 以及以家庭为基础的强化治疗,针对的是个人、 家庭、同伴和社区对药物使用的影响。 实验设计是通过随机分配200对偶来实现的 对确诊的青少年进行2种治疗(MDFT、ATP)。全面 对结果的评估(药物滥用、行为问题/犯罪和 心理社会功能)和改变机制(育儿、联盟,12 步骤和青少年技能)在6个时间点(摄入量;2,4, 服药后12、18个月)。成本效益的衡量标准 和费用抵销,以及仔细的治疗程序 诚信及其衡量标准。分析将包括分层线性 建模、结构方程建模、多元回归和Manova, 并利用代表多个角度的潜在因素得分 多重特征。
英文摘要
During the past several years, statistics from national samples of high school youth indicate alarming increases in rates of substance use. The primary aims of the proposed study are to: 1) experimentally compare the effectiveness of family-based treatment, Multidimensional Family Therapy (MDFT), with adolescent residential treatment, Adolescent Treatment Program (ATP), in ameliorating drug use and symptoms of co-morbidity among dually diagnosed adolescents; 2) identify the mechanisms by which each treatment achieves its effects; and 3) examine the cost effectiveness and cost off-set of each treatment. ATP is a multifaceted residential treatment based on a social learning approach. MDFT is a multidimensional and intensive, in-home family-based treatment that targets individual, familial, peer, and community influences on drug use. An experimental design is achieved by randomly assigning 200 dually diagnosed adolescents to 2 treatments (MDFT, ATP). Comprehensive assessments of outcome (drug abuse, conduct problems/delinquency, and psychosocial functioning) and change mechanisms (parenting, alliance, 12 step, and adolescent skills) are obtained at 6 time points (intake; 2, 4, 12, 18 months post-intake and termination). Measures of cost effectiveness and cost off-set are included as well as careful procedures for treatment integrity and its measurement. Analyses will include Hierarchical Linear Modeling, Structural Equation Modeling, Multiple Regression, and MANOVA, and utilize latent factor scores representing multiple perspectives on multiple traits.
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