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伊朗一个主要美沙酮维持治疗项目中治疗保持率的预测因素:一项生存分析。

Predictors of treatment retention in a major methadone maintenance treatment program in iran: a survival analysis.

作者信息

Pashaei Tahereh, Moeeni Maryam, Roshanaei Moghdam Babak, Heydari Hassan, Turner Nigel E, Razaghi Emran M

机构信息

Department of Public Health, School of Health, Kurdistan University of Medical Sciences, Sanandaj, Iran.Addiction Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.Iranian Center of Excellence in Health Services Management, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

J Res Health Sci. 2014 Autumn;14(4):291-5.

PMID:25503286
Abstract

BACKGROUND

To identify correlates related to retention time of a cohort study of the opioid-dependent patients participating in the Methadone Maintenance Treatment (MMT) program offered by a major addiction treatment clinic in Tehran, Iran between April 2007 and March 2011.

METHODS

Several parametric Survival models assuming Weibull, Log-normal and Log-logistic distributions were compared to search for association between covariates and risk of relapse and dropping out of treatment among 198 patient participants.

RESULTS

According to Akaike Information Criterion (AIC), Log-normal model had the best fitting. Estimates of this model indicated that increase in average methadone dosage was associated with longer retention time. Correlates associated with shorter retention time were suffering from mental disorders, using stimulant drugs, being poly-substance dependents and having prior treatments.

CONCLUSIONS

Findings of this study provide support for giving more attention to patients who are poly-substance or stimulant-drug dependents, have non-substance psychiatric comorbidity and the ones with addiction treatment history. Independent of patient characteristics, retention improved as the dose of methadone increased.

摘要

背景

为了确定与2007年4月至2011年3月期间,参与伊朗德黑兰一家主要成瘾治疗诊所提供的美沙酮维持治疗(MMT)项目的阿片类药物依赖患者队列研究留存时间相关的因素。

方法

比较了几种假设服从威布尔分布、对数正态分布和对数逻辑斯蒂分布的参数生存模型,以寻找198名患者参与者中协变量与复发风险及治疗退出之间的关联。

结果

根据赤池信息准则(AIC),对数正态模型拟合效果最佳。该模型的估计表明,美沙酮平均剂量的增加与更长的留存时间相关。与较短留存时间相关的因素包括患有精神障碍、使用兴奋剂药物、多物质依赖以及有过先前治疗经历。

结论

本研究结果支持对多物质或兴奋剂药物依赖、有非物质性精神疾病合并症以及有成瘾治疗史的患者给予更多关注。独立于患者特征之外,随着美沙酮剂量的增加,留存情况有所改善。

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