Moradinazar Mehdi, Farnia Vahid, Alikhani Mostafa, Karyani Ali Kazemi, Rezaei Satar, Rezaeian Shahab, Matin Behzad Karami, Najafi Farid
Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Oman Med J. 2020 Jan 23;35(1):e89. doi: 10.5001/omj.2020.07. eCollection 2020 Jan.
We sought to determine the main factors related to relapse in patients with substance-related disorders (SRDs) who received methadone maintenance therapy (MMT) using decision tree (DT) analysis.
We conducted a cross-sectional study of 4175 patients referred to the 45 MMT centers in Kermanshah province, west of Iran. We included all patients who were under MMT for at least one year. All information was collected through an interview by a psychologist. Descriptive statistics and univariate and multiple regression models were used in statistical analysis. The Gini index was calculated to determine the cut-off point of nodes. We used the Classification and Regression Trees algorithm to create the DT.
The relapse rate was 76.6% for all participants, with no significant gender differences. The DT resulted in a five-level model of significant factors affecting substance abuse relapse. These included lower cost for buying substances, lower age at first substance use, history of quitting substances without medication, frequency of substances utilization per month, and frequency of methadone therapy.
Knowing the main factors associated with substance abuse relapse could be important for health care providers to make better decisions for improving the treatment outcomes of SRDs.
我们试图通过决策树（DT）分析来确定接受美沙酮维持治疗（MMT）的物质相关障碍（SRD）患者复发的主要相关因素。
我们对伊朗西部克尔曼沙阿省45个MMT中心转诊的4175例患者进行了横断面研究。我们纳入了所有接受MMT至少一年的患者。所有信息均通过心理学家访谈收集。统计分析采用描述性统计、单变量和多变量回归模型。计算基尼指数以确定节点的切点。我们使用分类与回归树算法创建决策树。
所有参与者的复发率为76.6%，无显著性别差异。决策树得出了一个影响药物滥用复发的五级显著因素模型。这些因素包括购买药物成本较低、首次使用药物时年龄较小、无药物辅助的戒毒史、每月药物使用频率以及美沙酮治疗频率。
了解与药物滥用复发相关的主要因素对于医疗保健提供者做出更好的决策以改善SRD的治疗结果可能很重要。
