Individual and social network factors that predict entry to drug treatment
Individual and social network factors that predict entry to drug treatment
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DOI：
10.1080/10601330601080057
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发表时间：
2007-01-01
影响因子：
3.7
通讯作者：
Strathdee, Steffanie
中科院分区：
文献类型：
--
作者：
Davey, Melissa A.;Latkin, Carl A.;Strathdee, Steffanie
对前瞻性数据进行分析，以检查预测 557 名海洛因和可卡因使用者样本中是否接受药物治疗的个人和社交网络特征。进入治疗与 HIV 阳性 [AOR：2.25，95% CL 1.33-3.81] 和药物治疗史相关 [AOR：3.41，95% CL 2.19-5.31]。接受药物治疗的社交网络成员较多 [AOR: 1.29, 95% CL: 1.07-1.56] 和吸食可卡因的网络成员较少 [AOR: 0.86, 95% CP 0.75-0.99] 的个体更有可能接受治疗。需要基于社交网络的干预措施来促进药物治疗的成功结果。
Prospective data were analyzed to examine individual and social network characteristics that predict entry into drug treatment among a sample of 557 heroin and cocaine users. Entering treatment was associated with being HIV positive [AOR: 2.25, 95% CL 1.33-3.81] and a history of drug treatment [AOR: 3.41, 95% CL 2.19-5.31]. Individuals with a greater number of social network members who were in drug treatment [AOR: 1.29, 95% CL: 1.07-1.56] and fewer network members who smoked crack [AOR: 0.86, 95% CP 0.75-0.99] were more likely to enter treatment. Social network-based interventions that promote successful outcomes in drug treatment are needed.