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首页> 外文期刊>The American journal on addictions / >Addiction treatment dropout: Exploring patients' characteristics
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Addiction treatment dropout: Exploring patients' characteristics

机译:戒毒治疗:探索患者的特征

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摘要

This study explored the characteristics associated with treatment dropout in substance dependence patients. A sample of 122 addicted patients (84 treatment completers and 38 treatment dropouts) who sought outpatient treatment was assessed to collect information on sociodemographic, consumption (assessed by EuropASI), psychopathological (assessed by SCL-90-R), and personality variables (assessed by MCMI-II). Completers and dropouts were compared on all studied variables. According to the results, dropouts scored significantly higher on the EuropASI variables measuring employment/support, alcohol consumption, and family/social problems, as well as on the schizotypal scale of MCMI-II. Because most of the significant differences were found in EuropASI variables, three clusters analyses (2, 3, and 4 groups) based on EuropASI mean scores were carried out to determine clinically relevant information predicting dropout. The most relevant results were obtained when four groups were used. Comparisons between the four groups derived from cluster analysis showed statistically significant differences in the rate of dropout, with one group exhibiting the highest dropout rate. The distinctive characteristics of the group with highest dropout rate included the presence of an increased labor problem combined with high alcohol consumption. Furthermore, this group had the highest scores on three scales of the MCMI-II: phobic, dependent, and schizotypal. The implications of these results for further research and clinical practice are discussed.
机译:这项研究探讨了与药物依赖患者的治疗辍学有关的特征。对接受门诊治疗的122名成瘾患者(84名治疗完成者和38名治疗辍学者)进行了抽样调查,以收集有关社会人口统计学,消费(由EuropASI评估),精神病理(由SCL-90-R评估)和人格变量(评估)的信息。由MCMI-II)。比较完成者和辍学者的所有研究变量。根据结果​​,在测量就业/支持,酒精消耗和家庭/社会问题的EuropASI变量以及MCMI-II的精神分裂症量表上,辍学率得分明显更高。因为在EuropASI变量中发现了大多数显着差异,所以基于EuropASI平均得分进行了三类聚类分析(2、3和4组),以确定预测辍学的临床相关信息。当使用四组时,获得了最相关的结果。从聚类分析得出的四组之间的比较显示,辍学率在统计学上有显着差异,其中一组表现出最高的辍学率。辍学率最高的人群的显着特征包括劳动问题增加和高饮酒。此外,该组在三项MCMI-II量表上得分最高:恐惧,依赖和分裂型。讨论了这些结果对进一步研究和临床实践的意义。

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