Adaptive Interventions in Drug Court: A Pilot Experiment.
Adaptive Interventions in Drug Court: A Pilot Experiment.
复制标题
DOI：
10.1177/0734016808320325
复制
发表时间：
2008-01-01
影响因子：
--
通讯作者：
McKay, James R
中科院分区：
文献类型：
--
作者：
Marlowe, Douglas B;Festinger, David S;McKay, James R
这项试点研究（N = 30）实验研究的适应性干预的影响，在成人轻罪毒品法庭。自适应算法根据参与者在项目中的持续表现，根据预先指定的标准调整司法地位听证会和临床病例管理会议的频率。结果显示，自适应算法是可以接受的客户和工作人员，可行的实现大于85%的保真度，并显示出有希望引起临床有意义的改善药物戒断率和毕业率。在各种相关指标中，估计的效应量范围为0.40至0.60。与通常的毒品法庭相比，适应性条件下的参与者更有可能收到毒品法庭团队对项目表现不佳的回应，并且在更短的时间内收到这些回应。这表明，自适应算法可能更容易将毒品法庭团队的注意力集中在表现不佳的个人身上，从而使团队能够在问题发展得太充分之前“将问题扼杀在萌芽状态”。这些初步的数据证明了额外的研究评估的影响，自适应算法在一个充分的动力实验性试验。
This pilot study (N = 30) experimentally examined the effects of an adaptive intervention in an adult misdemeanor drug court. The adaptive algorithm adjusted the frequency of judicial status hearings and clinical case-management sessions according to pre-specified criteria in response to participants' ongoing performance in the program. Results revealed the adaptive algorithm was acceptable to both clients and staff, feasible to implement with greater than 85% fidelity, and showed promise for eliciting clinically meaningful improvements in drug abstinence and graduation rates. Estimated effect sizes ranged from 0.40 to 0.60 across various dependent measures. Compared to drug court as-usual, participants in the adaptive condition were more likely to receive responses from the drug court team for inadequate performance in the program and received those responses after a substantially shorter period of time. This suggests the adaptive algorithm may have more readily focused the drug court team's attention on poorly-performing individuals, thus allowing the team to "nip problems in the bud" before they developed too fully. These preliminary data justify additional research evaluating the effects of the adaptive algorithm in a fully powered experimental trial.