Estimating intervention effectiveness: synthetic projection of field evaluation results.
Estimating intervention effectiveness: synthetic projection of field evaluation results.
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DOI：
10.1007/s10935-005-5391-5
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发表时间：
2005-07-01
期刊：
影响因子：
--
通讯作者：
Brounstein, Paul
中科院分区：
文献类型：
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作者：
Derzon, James H;Sale, Elizabeth;Brounstein, Paul
在46个站点，5年的高风险青少年药物滥用预防评估，效果大小进行了调整，使用荟萃分析回归技术，以项目潜在的有效性，更优化的研究和实施条件。调整效应量估计值以控制对照组预防暴露、服务强度和连贯计划实施的影响，将平均有效性估计值从接近零（.02，SD = .21）提高到.24（SD = .18）。这一发现表明，青少年预防计划可以有显着的积极影响下，最佳的，但可获得的条件。编辑的战略含义：作者提出了一种元分析技术，有望成为了解在多站点社区预防设置中起作用的重要工具。研究人员会发现这是一种创造性的方法来模拟实施中的“噪音”，这种噪音往往会掩盖预防计划的潜在影响。
In a 46-site, 5-year high-risk youth substance abuse prevention evaluation, effect sizes were adjusted using a meta-analytic regression technique to project potential effectiveness under more optimal research and implementation conditions. Adjusting effect size estimates to control for the impact of comparison group prevention exposure, service intensity, and coherent program implementation raised the mean effectiveness estimate from near zero (.02, SD = .21) to .24 (SD = .18). This finding suggests that adolescent prevention programs can have significant positive effects under optimal, yet obtainable conditions. EDITORS' STRATEGIC IMPLICATIONS: The authors present a meta-analytic technique that promises to be an important tool for understanding what works in multi-site community-based prevention settings. Researchers will find this to be a creative approach to model the "noise'' in implementation that may often overshadow the potential impact of prevention programs.