Doogan Nathan J, Warren Keith L
a College of Public Health , The Ohio State University , Columbus , Ohio , USA.
b College of Social Work , The Ohio State University , Columbus , Ohio , USA.
Subst Use Misuse. 2017 Sep 19;52(11):1429-1438. doi: 10.1080/10826084.2017.1284236. Epub 2017 May 3.
Therapeutic communities (TCs) maintain order and encourage behavior change through a system of peer corrections. This study is the first quantitative analysis of the dynamics of the exchange of peer corrections at TCs.
We applied longitudinal social network analysis to compare the reactions of TC residents to peer versus staff intervention, while analyzing dynamics of correction exchange among residents.
The data consisted of a large database of staff and peer affirmations and corrections at four therapeutic community units that occurred between the years 2006 and 2008. We modeled the data as a directed temporal social event network, using a generalized linear mixed effects model to analyze predictors of corrections among residents.
Residents were more likely to send a correction following peer affirmations and corrections than following staff affirmations and corrections. Residents reciprocated corrections to individual peers. Autocorrelation was evident in both sending and receiving corrections and residents were more likely to send a correction after having sent an affirmation. Residents who arrived at roughly the same time were more likely to exchange corrections. Residents tended to send and receive more corrections in the middle 3 months of their treatment. European American residents and those with higher scores on the LSI-R were more likely to receive corrections than others.
TC residents respond more strongly and more positively to peer than to staff intervention. The pattern of exchange of peer corrections in TCs is complex. This suggests possible paths to improved outcomes.
治疗社区(TCs)通过同伴矫正系统维持秩序并鼓励行为改变。本研究是对治疗社区中同伴矫正交流动态的首次定量分析。
我们应用纵向社会网络分析来比较治疗社区居民对同伴干预与工作人员干预的反应,同时分析居民之间矫正交流的动态。
数据包括2006年至2008年间四个治疗社区单元中工作人员和同伴的肯定与矫正的大型数据库。我们将数据建模为有向时间社会事件网络,使用广义线性混合效应模型分析居民之间矫正的预测因素。
与工作人员的肯定和矫正相比,居民在同伴的肯定和矫正之后更有可能进行矫正。居民会向个别同伴回报矫正。在发送和接收矫正方面,自相关都很明显,并且居民在发送肯定之后更有可能发送矫正。大致同时到达的居民更有可能进行矫正交流。居民在治疗的中间3个月倾向于发送和接收更多的矫正。与其他居民相比,欧美裔居民和在LSI-R上得分较高的居民更有可能收到矫正。
治疗社区居民对同伴干预的反应比对工作人员干预的反应更强烈、更积极。治疗社区中同伴矫正的交流模式很复杂。这提示了可能改善治疗效果的途径。