JCOIN Research

ils in Massachusetts are among the first nationwide to provide correctional populations with medications to treat opioid use disorder (MOUD). The COVID-19 pandemic caused jails to pivot and adapt MOUD programming. To facilitate continued access to MOUD, both during incarceration and also at community reentry, jail staff quickly implemented changes in MOUD regulations and dosing…

This study explored whether participants with substance use disorder (SUD) would adopt and use a smart-phone app with a cognitive behavioral therapy program, weekly Brief Addiction Monitor (BAM) assessments, daily check-ins, tools to track sobriety and treatment, and other patient-centered resources. In addition, participants with SUD could access a social worker and peer support specialists.

While the COVID-19 pandemic disrupted healthcare delivery everywhere, persons with carceral system involvement and opioid use disorder (OUD) were disproportionately impacted and vulnerable to severe COVID-associated illness. Carceral settings and community treatment programs (CTPs) rapidly developed protocols to sustain healthcare delivery while reducing risk of COVID-19 transmission. This survey study assessed changes to OUD treatment,…

This paper reports on a national survey of PSCs (N = 42 state-wide court coordinators; N = 849 local court coordinators) and examines the structural factors that could explain the likelihood of a local PSC authorizing medication-assisted treatment (MAT) and MAT utilization. Results of the analyses indicate that MAT availability at the county level was…

Vaccinating adults who are involved with the carceral system, particularly those aged 55 or older, is crucial to containing the COVID-19 pandemic in the USA, particularly as variants continue to emerge and spread. Improving access to the Covid-19 vaccine and boosters among those aged 55 or older is critical to mitigating the public health consequences…

We used survey responses to conduct a latent class analysis to classify respondents into categories and explained this classification as a function of sociodemographic and attitudinal variables using multinomial logistic regression models. We then estimated the probability of respondents agreeing to receive a COVID-19 vaccine conditional on their medical mistrust category.

Latent class analysis, a person-centered approach, was used to identify groups of individuals endorsing similar OUD stigma and policy beliefs. We then examined the relationship between the identified groups (i.e., classes) and key behavioral and demographic factors.

This tutorial presents Repast4Py, a Python-based agent-based modeling (ABM) toolkit, and the newest member of the Repast Suite of agent-based modeling toolkits. The tutorial presents key Repast4Py components and how they are combined to create distributed simulations of different types, building on three example models that implement seven common distributed ABM use cases.

Through a study funded by the NIH RADX-UP initiative, this project explores the process of sensemaking amid misinformation, trust/mistrust, and vulnerability during the pandemic among criminal-legal involved communities in three central states (Illinois, Louisiana, and Arkansas).

The overall aim of the present study is to examine the utility of the DSM OUD Checklist and the NM-ASSIST screening tools to identify symptoms consistent with OUD among incarcerated women in county jails. Study findings indicate a positive correlation between indicators of OUD using the two screening tools, as well as a high degree…