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瑞典成瘾强制治疗系统中的退出情况。

Drop-out from the Swedish addiction compulsory care system.

作者信息

Padyab Mojgan, Grahn Robert, Lundgren Lena

机构信息

Department of Social Work, Umeå University, SE-901 87 Umeå, Sweden.

Department of Social Work, Umeå University, SE-901 87 Umeå, Sweden.

出版信息

Eval Program Plann. 2015 Apr;49:178-84. doi: 10.1016/j.evalprogplan.2014.12.016. Epub 2014 Dec 18.

Abstract

UNLABELLED

Drop-out of addiction treatment is common, however, little is known about drop-out of compulsory care in Sweden. Data from two national register databases were merged to create a database of 4515 individuals sentenced to compulsory care 2001-2009. The study examined (1) characteristics associated with having dropped out from a first compulsory care episode, (2) the relationship between drop-out and returning to compulsory care through a new court sentence, and (3) the relationship between drop-out and mortality.

METHODS

Multivariable logistic regression analysis was used to address Aim 1 and Cox proportional hazards regression modeling was applied to respond to Aims 2 and 3.

FINDINGS

Age and previous history of crime were significant predictors for drop-out. Clients who dropped out were 1.67 times more likely to return to compulsory care and the hazard of dying was 16% higher than for those who dropped-out.

CONCLUSION

This study finds that 59% of clients assigned to compulsory care drop-out. Younger individuals are significantly more likely to drop-out. Those who drop out are significantly more likely to experience negative outcomes (additional sentence to compulsory care and higher risk of mortality). Interventions need to be implemented that increase motivation of youth to remain in compulsory care.

摘要

未标注

成瘾治疗中的脱落现象很常见,然而,瑞典强制治疗中的脱落情况却鲜为人知。来自两个国家登记数据库的数据被合并,以创建一个包含2001年至2009年期间被判处强制治疗的4515名个体的数据库。该研究考察了:(1)与首次强制治疗阶段脱落相关的特征;(2)脱落与通过新的法院判决重新接受强制治疗之间的关系;以及(3)脱落与死亡率之间的关系。

方法

采用多变量逻辑回归分析来实现目标1,并应用Cox比例风险回归模型来回应目标2和目标3。

研究结果

年龄和既往犯罪史是脱落的显著预测因素。脱落的患者重新接受强制治疗的可能性高出1.67倍,且死亡风险比未脱落者高16%。

结论

本研究发现,被分配接受强制治疗的患者中有59%会脱落。较年轻的个体脱落的可能性显著更高。脱落的个体更有可能经历负面结果(再次被判处强制治疗以及更高的死亡风险)。需要实施干预措施来提高年轻人留在强制治疗中的积极性。

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