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Substance Abuse Treatment Stage and Personal Networks of Women in Substance Abuse Treatment

机译:物质滥用治疗阶段和妇女在物质滥用治疗中的个人网络

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摘要

This study examines the relationship among 4 treatment stages (i.e., engagement, persuasion, active treatment, relapse prevention) and the composition, social support, and structural characteristics of personal networks. The study sample includes 242 women diagnosed with substance dependence who were interviewed within their first month of intensive outpatient treatment. Using EgoNet software, the women reported on their 25 alter personal networks and the characteristics of each alter. With one exception, few differences were found in the network compositions at different stages of substance abuse treatment. The exception was the network composition of women in the active treatment stage, which included more network members from treatment programs or 12-Step meetings. Although neither the type nor amount of social support differed across treatment stages, reciprocity differed between women in active treatment and those in the engagement stage. Networks of women in active treatment were less connected, as indicated by a higher number of components, whereas networks of women in the persuasion stage had a higher degree of centralization, as indicated by networks dominated by people with the most ties. Overall, we find social network structural variables to relate to the stage of treatment, whereas network composition, type of social support, and sociodemographic variables (with a few exceptions) do not relate to treatment stage. Results suggest that social context, particularly how social contacts are arranged around clients, should be incorporated into treatment programs, regardless of demographic background.
机译:这项研究检查了四个治疗阶段(即参与,说服,积极治疗,预防复发)与个人网络的组成,社会支持和结构特征之间的关系。该研究样本包括242名被诊断为患有药物依赖的妇女,他们在接受密集门诊治疗的第一个月内接受了采访。这些妇女使用EgoNet软件报告了他们的25个变更个人网络以及每个变更的特征。除了一个例外,在药物滥用治疗的不同阶段,网络组成几乎没有差异。唯一的例外是积极治疗阶段妇女的网络组成,其中包括来自治疗计划或12步会议的更多网络成员。尽管治疗阶段的社会支持的类型和金额都没有不同,但积极治疗的妇女和参与阶段的妇女之间的互惠性也不同。积极参与治疗的妇女网络之间的联系较少,这由较多的组成部分表明;而说服阶段的妇女网络则具有较高的集权程度,正如联系最多的人所主导的网络所表明的那样。总体而言,我们发现社交网络的结构变量与治疗阶段有关,而网络组成,社会支持的类型和社会人口统计学变量(除少数例外)与治疗阶段无关。结果表明,无论人口统计学背景如何,都应将社会背景,尤其是如何在客户周围安排社交联系,纳入治疗计划。

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