Network Integration within a Prison-Based Therapeutic Community

Perceptions of incarcerated people: prison conditions, public health, and justice in the United States

Carceral conditions in the United States may serve as a proxy for crises within justice and health systems. This study seeks to consider and measure prison climate from the perspective of incarcerated people. By examining within-facility differences in carceral experiences, results shed light on the complex nexus between the carceral context, health, and justice. We administered the Prison Climate Questionnaire (PCQ) to the complete population of incarcerated men in a correctional facility located in the Eastern United States. In this facility, housing units hold distinct populations, fulfill different functions, and can offer unique programming. We regress select items from the PCQ on a set of dummies corresponding to different residential units within the facility. Responses indicate low but relatively uniform perceptions of overall personal health, as well as access to, and satisfaction with, medical care. Between-unit differences emerge regarding staff relationships, experiences of discrimination, and levels of isolation. The perspectives of incarcerated people can, and should, play a role in understanding and conceptualizing the nature of the prison environment. Policy responses, especially those that impact the health and well-being of currently and formerly incarcerated people, can be informed by these perspectives.

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.

Sociometric network analysis in illicit drugs research: A scoping review

BACKGROUND

Sociometric or whole network analysis, a method used to analyze relational patterns among social actors, emphasizes the role of social structure in shaping behaviour. Such method has been applied to many aspects of illicit drug research, including in the areas of public health, epidemiology, and criminology. Previous reviews about social networks and drugs have lacked a focus on the use of sociometric network analysis for illicit drugs research across disciplines. The current scoping review aimed to provide an overview of the sociometric network analysis methods used in illicit drugs research and to assess how such methods could be used for future research.

METHODS

A systematic search of six databases (Web of Science, ProQuest Sociology Collection, Political Science Complete, PubMed, Criminal Justice Abstracts, and PsycINFO) returned 72 relevant studies that met the inclusion criteria. To be included, studies had to mention illicit drugs and use whole social network analysis as one of their methods. Studies were summarized quantitatively and qualitatively using a data-charting form and a description of the studies' main topics.

RESULTS

Sociometric network analysis in illicit drugs research has grown in popularity in the last decade, using mostly descriptive network metrics, such as degree centrality (72.2%) and density (44.4%). Studies were found to belong to three study domains. The first, drug crimes investigated network resilience and collaboration patterns in drug trafficking networks. The second domain, public health, focused on the social networks and social support of people who use drugs. Finally, the third domain focused on the collaboration networks of policy, law enforcement, and service providers.

CONCLUSION

Future illicit drugs research using whole network SNA should include more diverse data sources and samples, incorporate mixed and qualitative methods, and apply social network analysis to study drug policy.

Construction and comprehensive analysis of the biological network related to rheumatoid arthritis-related interstitial lung disease

OBJECTIVE

Interstitial lung disease (ILD) is a severe manifestation of rheumatoid arthritis (RA), which is characterized by low survival time post-diagnosis. Thus, it is important to explore the role of gene regulation related with ILD.

METHOD

Constructed a RA-ILD-related long chain noncoding RNA - messenger RNA (lncRNA-mRNA) network (ILD-LMN), based on ILD- and RA-related genes. We analyzed the topological properties of the resulting network.

RESULT

The results for network modularization and functional analysis showed that ILD-LMN performed basic and specific functions in ILD pathology. Furthermore, differential expression and correlation analysis of hub nodes revealed highly correlated competitive endogenous RNA regulatory relationships with important roles in pathological regulation. Following this, statistical analysis of disease-related single nucleotide polymorphisms (SNPs) in hub lncRNAs revealed that some of transcription factor-related SNPs were significantly associated with the expression of lncRNA. In fact, these SNPs exhibited significant differential expression in disease and normal samples.

CONCLUSION

These results suggest that ILD-LMN has important implications in the study of disease. Altogether, the study of RA- and ILD-related lncRNA and genes on the basis of biological network would assist in providing better treatment opportunities for ILD patients. Additionally, it would promote further research on treatment of the disease.

Effects of a Residential Multimodal Psychological Treatment in an Addicted Population, at 6 and 12 Months: Differences Between Men and Women

The aim of this study is to explore the effects of a residential multimodal treatment intervention for an addict population. We gathered participants from the "Programa Base" (n = 166) of the Solidarity and Reinsertion Foundation of Murcia, and assessed the various problematic areas with the EuropASI at baseline level, 6 months and 12 months of treatment. We found improved outcomes in every area except for Legal Status. In addition, we found differences between male and female participants in their baseline evaluation, as well as between completers and non-completers. In conclusion, this data shows us some changes which occurred in individuals with problematic drug use during treatment, going further into the complex social reality which causes great suffering and damage to people and their families.

Eigenvector centrality defines hierarchy and predicts graduation in therapeutic community units

INTRODUCTION

Therapeutic communities (TCs) are mutual aid based residential programs for the treatment of substance abuse and criminal behavior. While it is expected that residents will provide feedback to peers, there has been no social network study of the hierarchy through which feedback flows.

METHODS

Data for this study was drawn from clinical records of peer corrections exchanged between TC residents in six units kept over periods of less than two to over eight years. Four of the units served men while two served women. Hierarchy position was measured using eigenvector centrality, on the assumption that residents who were more central in the network of corrections were lower in the hierarchy. It was hypothesized that residents would rise in the hierarchy over time. This was tested using Wilcoxon paired samples tests comparing the mean and maximum eigenvector centrality for time in treatment with those in the last month of treatment. It was also hypothesized that residents who rose higher in the hierarchy were more likely to graduate, the outcome of primary interest. Logistic regression was used to test hierarchy position as a predictor of graduation, controlling for age, race, risk of recidivism as measured by the Level of Services Inventory-Revised (LSI-R) and days spent in the program.

RESULTS

Residents averaged a statistically significantly lower eigenvector centrality in the last month in all units, indicating a rise in the hierarchy over time. Residents with lower maximum and average eigenvector centrality both over the length of treatment and in the last month of treatment were more likely to graduate in four of the six units, those with lower maximum and average eigenvector centrality in the last month but not over the length of treatment were more likely to graduate in one of the six units, while eigenvector centrality did not predict graduation in one unit. However, this last unit was much smaller than the others, which may have influenced the results.

CONCLUSION

These results suggest that TC residents move through a social network hierarchy and that movement through the hierarchy predicts successful graduation.

New on the Block: Analyzing Network Selection Trajectories in a Prison Treatment Program

Personal network change is largely driven by transitions between the groups and organizations where people spend their day-to-day lives. But, how do entrants choose which relationships to pursue among the numerous possibilities a new environment offers? We expect newcomers will use the same mechanisms as longer-tenured members, although this will take time as they acclimate and form initial relationships that support future ties. Thus, our goal is to understand how the network selection processes used by new organizational members shift in importance as time in the organization grows. We focus on network selection via homophily, propinquity, formal relations, and endogenous network processes. For each mechanism, we distinguish between change in the strength of the mechanism and opportunities to enact the mechanism. We evaluate expected changes using network data from a prison-based therapeutic community (TC). This setting is ideal because the structured nature of TC entry and exit generates regular membership turnover and removes confounds present in studies of more familiar contexts (e.g., schools). Results show that the relative importance of network selection mechanisms varies over tenure, with homophily dominating early on and endogenous network processes catching up later. We discuss implications of these findings for new member socialization and broader patterns of inequality.