Relationship between network clustering in a therapeutic community and reincarceration following discharge

The prison-based Therapeutic Community: Resident recommendations for program improvement

INTRODUCTION

The prison-based Therapeutic Community (TC) is widely used within correctional institutions to address substance use disorders (SUDs). While most evaluations of the prison-based TC find the program to be effective, recent mixed evidence and the continued surge of the opioid crisis call for deeper investigation into program operations, barriers to engagement, and sources of treatment effect heterogeneity. Notably lacking from prior evaluations, and critical to our understanding of variable program engagement, is first-hand experiences and perceptions from program participants.

METHODS

To assess prison-based TC resident perceptions of the program and their recommendations for improvement, we utilize data from the Therapeutic Community Prison Inmate Network Study (TC-PINS), a longitudinal data collection effort conducted in one prison-based TC unit within a Pennsylvania state prison. Specifically, we assess resident responses to the open-ended item "What can the TC do better?" Analyzing 470 responses to this question by 177 residents, two independent coders identified seven substantive categories of recommended changes or improvements to their TC program.

RESULTS

Residents provided tangible recommendations for improvement of their prison-based TC program based on their experiences and perceptions. Importantly, a number of their recommendations directly counter the intended model of the TC, which highlights imperative issues underlying the translation of the TC model within the prison environment. Resident suggestions include enhanced structure, increased individualization, expanded curriculum, stricter enforcement of rules, and improved or more experienced staff. Additionally, many question the coercive nature of TC program participation within this prison system.

CONCLUSIONS

Resident recommendations for program improvement unveil important sources of treatment effect heterogeneity and highlight tangible program changes that can be implemented to reduce barriers to treatment engagement. We provide suggested changes to this prison-based TC based on resident perceptions and discuss both the importance and relative ease of eliciting this critical participant feedback.

Resident interactions when affirming and correcting peers in a therapeutic community for women

Purpose –

While recent years have seen a number of studies of social networks in therapeutic communities (TCs) and other residential settings, these have primarily focused on male residents. This paper aims to conduct a longitudinal social network analysis of interpersonal interactions in a TC for women.

Design/methodology/approach –

The data consists of a longitudinal directed social network of instances of feedback between 56 residents of a 16 bed TC for women over a period of 611 days. Mean age of the participants was 33.1 years, mean length of stay was 133.9 days and 91% of the participants were female. Feedback consisted of written affirmations for prosocial behavior and written corrections for contravening TC norms. Data was analyzed using a latent factor longitudinal social network model.

Findings –

Residents react to peer intervention in complex ways. Residents reciprocated affirmations (B = 0.14, 95% confidence interval = 0.10, 0.18) and corrections (B = 0.20, 95% CI = 0.13, 0.25). Controlling for reciprocity, participants who received affirmations were more likely to affirm and correct peers (B = 0.10, 95% CI = 0.06, 0.15; B = 0.17, 95% CI = 0.10, 0.23), suggesting that the encouragement offered by affirmations leads to increased activity. Homophily by admission time occurred in both affirmations and corrections (B = 0.23, 95% CI = 0.10, 0.37; B = 0.51, 95% CI = 0.29, 0.74).

Originality/value –

While affirmations and corrections serve as vehicles for behavioral reinforcement and social learning, they also allow residents to interact in ways that strengthen social bonds.

Social and programmatic interactions in a therapeutic community for women: an exponential random graph model analysis

Purpose

To analyze networks of social interactions between the residents of a therapeutic community (TC) for women and the way, in which such interactions predict the discussion of issues that arise in treatment.

Design/methodology/approach

In total, 50 residents of a corrections-based TC for women were surveyed on the peers with whom they socialized informally, shared meals, shared letters from home and discussed issues that arose in treatment over a 12 h period. The data were analyzed using exponential random graph models (ERGM).

Findings

Reciprocity occurred in all networks while transitivity (a tendency of two residents who are connected to both connect to a third peer) occurred in all networks measuring informal social interactions. When controlling for reciprocity and transitivity, residents avoided spending social time or sharing meals with the same peers. There was no evidence of homophily by race, age or years of education. Homophily by entrance time and case manager occurred in social time. Case manager homophily occurred in the discussion of treatment issues but disappeared when controlling for social time and sharing letters from home.

Research limitations/implications

Social networks in this TC arise from factors endogenous to the TC itself. It should be possible to determine the characteristics of optimal social networks in TCs. External validity is limited.

Practical implications

It should be possible to intervene to optimize the social networks of TC residents.

Originality/value

This is the first ERGM analysis of both informal and formal interactions in a TC.

Pretreatment social network characteristics relate to increased risk of dropout and unfavorable outcomes among women in a residential treatment setting for substance use

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.

Building the community: Endogenous network formation, homophily and prosocial sorting among therapeutic community residents

BACKGROUND

Researchers have begun to consider the ways in which social networks influence therapeutic community (TC) treatment outcomes. However, there are few studies of the way in which the social networks of TC residents develop over the course of treatment.

METHODOLOGY

We used a Temporal Exponential Random Graph Model (TERGM) to analyze changes in social networks totaling 320,387 peer affirmations exchanged between residents in three correctional TCs, one of which serves men and two of which serve both men and women. The networks were analyzed within weekly and monthly time-frames.

RESULTS

Within a weekly time-frame residents tended to close triads. Residents who were not previously connected tended not to affirm the same peers. Residents showed homophily by entry cohort. Other results were inconsistent across TC units. Within a monthly time-frame participants showed homophily by graduation status. They showed the same patterns of triadic closure when connected, tendency not to affirm the same peers when not connected and homophily by cohort entry time as in a weekly time frame.

CONCLUSIONS

TCs leverage three human tendencies to bring about change. The first is the tendency of cooperators to work together, in this case in seeking graduation. The second is the tendency of people to build clusters. The third is homophily, in this case by cohort entry time. Consistent with TC clinical theory, residents spread affirmations to a variety of peers when they have no previous connection. This suggests that residents balance network clustering with a concern for the community as a whole.

Treatment engagement in a prison-based Therapeutic Community: A mixed-methods approach

Given the high proportion of inmates with histories of substance use disorders in the era of mass incarceration, many correctional institutions have integrated the prison-based Therapeutic Community (TC) into their programming. While most evaluations provide evidence of lowered rates of relapse and recidivism, the majority of TC graduates still have negative outcomes post-release. Filling an important gap in the TC treatment literature, we analyze quantitative measures of treatment engagement alongside qualitative narratives from prison-based TC residents, providing an essential look into the black box of TC treatment mechanisms. Quantitative results show more between-person variation than within-person change, reflecting trivial increases in treatment engagement throughout time in the program. Qualitative results unpack these findings, pointing to processes of selection bias, heterogeneous treatment effects, and program fidelity lapses. In combination, our mixed data identify tangible modifications to program implementation that could strengthen desired post-release outcomes.