Arnaudova Inna, Jin Haomiao, Amaro Hortensia
Department of Psychiatry, University of California -, Los Angeles, United States of America.
Suzanne Dworak-Peck School of Social Work, University of Southern California, United States of America.
J Subst Abuse Treat. 2020 Sep;116:108044. doi: 10.1016/j.jsat.2020.108044. Epub 2020 May 30.
Increased retention in residential treatment for substance use disorder (SUD) has been associated with more favorable clinical outcomes for residents. Yet SUD treatment dropout remains high. It is essential to uncover factors contributing to these high rates. Little is known about whether features of an individual's social network prior to treatment entry are related to number of days in treatment or to clinical status at treatment termination. To examine these relationships, we analyzed data from 241 women (58.5% Hispanic) entering an SUD residential treatment facility, who agreed to participate in a parent randomized control trial. We assessed characteristics of these women's social networks prior to treatment entry at baseline. We extracted clinician-determined progress at treatment termination and days in treatment two months after treatment entry from clinical records. Data-driven analyses using purposeful selection of predictors showed that the overall size of the social network was associated with increased likelihood of being classified as having achieved good clinical progress in treatment at termination and that number of drug users in the pretreatment social network was related to staying fewer days in treatment. Contrary to our hypothesis, we found no significant associations between other pretreatment social support network characteristics (i.e., social support) and treatment retention or clinical discharge status. Future research should examine how features of social networks change through treatment and how these changes relate to treatment outcomes.
物质使用障碍(SUD)住院治疗中更高的留存率与住院患者更有利的临床结果相关。然而,SUD治疗的退出率仍然很高。找出导致这些高退出率的因素至关重要。对于治疗开始前个人社交网络的特征是否与治疗天数或治疗结束时的临床状态相关,人们知之甚少。为了研究这些关系,我们分析了241名进入SUD住院治疗机构的女性(58.5%为西班牙裔)的数据,她们同意参与一项家长随机对照试验。我们在基线时评估了这些女性治疗开始前社交网络的特征。我们从临床记录中提取了临床医生确定的治疗结束时的进展情况以及治疗开始两个月后的治疗天数。使用有目的选择预测因素的数据分析表明,社交网络的总体规模与被归类为在治疗结束时取得良好临床进展的可能性增加相关,并且治疗前社交网络中吸毒者的数量与治疗天数较少相关。与我们的假设相反,我们发现其他治疗前社交支持网络特征(即社会支持)与治疗留存率或临床出院状态之间没有显著关联。未来的研究应该考察社交网络的特征如何在治疗过程中发生变化,以及这些变化如何与治疗结果相关。