Buprenorphine-naloxone vs. extended-release naltrexone for opioid use disorder in individuals with and without criminal legal involvement: A secondary analysis of the X:BOT randomized controlled trial.

INTRODUCTION: There is uncertainty about whether criminal legal involvement (CLI) impacts the effectiveness of medications for opioid use disorder (MOUD). We aimed to determine whether CLI modifies the association between buprenorphine-naloxone (BUP-NX) vs. extended-release naltrexone (XR-NTX) and MOUD treatment outcomes. METHODS: We conducted a secondary analysis of X:BOT, a 24-week multi-center randomized controlled trial comparing treatment outcomes between BUP-NX (n = 287) and XR-NTX (n = 283) in the general population. We used baseline Additional Severity-Index Lite responses to identify patients with recent CLI (n = 342), defined as active CLI and/or CLI in the past 30 days, and lifetime incarceration (n = 328). We explored recent CLI and lifetime incarceration as potential effect modifiers of BUP-NX vs. XR-NTX effectiveness on relapse, induction, and overdose. We conducted both intention-to-treat and per-protocol analyses for each outcome. RESULTS: In intention-to-treat analyses, recent CLI modified the effect of BUP-NX vs. XR-NTX on odds of successful induction (p = 0.03) and hazard of overdose (p = 0.04), but it did not modify the effect on hazard of relapse (p = 0.23). All participants experienced lower odds of successful induction with XR-NTX compared to BUP-NX, but the relative likelihood of successful induction with BUP-NX was lower than XR-NTX among individuals with recent CLI (OR: 0.25, 95 % CI: 0.13-0.47, p < 0.001) compared to those without recent CLI (OR: 0.04, 95 % CI: 0.01-0.19, p < 0.001). Participants with recent CLI experienced similar hazard of overdose with XR-NTX and BUP-NX (HR: 1.12, 95 % CI: 0.42-3.01, p = 0.82), whereas those without recent CLI experienced greater hazard of overdose with XR-NTX compared to BUP-NX (HR: 12.60, 95 % CI: 1.62-98.03, p = 0.02). In per-protocol analyses, recent CLI did not modify the effect of MOUD on hazard of overdose (p = 0.10) or relapse (p = 0.41). Lifetime incarceration did not modify any outcome. CONCLUSIONS: Compared to individuals without recent CLI, individuals with recent CLI experienced decreased relative effectiveness of BUP-NX compared to XR-NTX for induction and overdose outcomes. This highlights the importance of considering the impact of recent CLI on opioid use disorder treatment outcomes. Future research should explore the mechanisms through which recent CLI modifies MOUD effectiveness and aim to improve MOUD effectiveness for individuals with recent CLI.

Identifying incarceration status in the electronic health record using large language models in emergency department settings.

Background: Incarceration is a significant social determinant of health, contributing to high morbidity, mortality, and racialized health inequities. However, incarceration status is largely invisible to health services research due to inadequate clinical electronic health record (EHR) capture. This study aims to develop, train, and validate natural language processing (NLP) techniques to more effectively identify incarceration status in the EHR. Methods: The study population consisted of adult patients (≥ 18 y.o.) who presented to the emergency department between June 2013 and August 2021. The EHR database was filtered for notes for specific incarceration-related terms, and then a random selection of 1,000 notes was annotated for incarceration and further stratified into specific statuses of prior history, recent, and current incarceration. For NLP model development, 80% of the notes were used to train the Longformer-based and RoBERTa algorithms. The remaining 20% of the notes underwent analysis with GPT-4. Results: There were 849 unique patients across 989 visits in the 1000 annotated notes. Manual annotation revealed that 559 of 1000 notes (55.9%) contained evidence of incarceration history. ICD-10 code (sensitivity: 4.8%, specificity: 99.1%, F1-score: 0.09) demonstrated inferior performance to RoBERTa NLP (sensitivity: 78.6%, specificity: 73.3%, F1-score: 0.79), Longformer NLP (sensitivity: 94.6%, specificity: 87.5%, F1-score: 0.93), and GPT-4 (sensitivity: 100%, specificity: 61.1%, F1-score: 0.86). Conclusions: Our advanced NLP models demonstrate a high degree of accuracy in identifying incarceration status from clinical notes. Further research is needed to explore their scaled implementation in population health initiatives and assess their potential to mitigate health disparities through tailored system interventions.

"It's just us sitting there for 23 hours like we done something wrong": Isolation, incarceration, and the COVID-19 pandemic.

For the millions of people incarcerated in United States' prisons and jails during the COVID-19 pandemic, isolation took many forms, including medical isolation for those sick with COVID-19, quarantine for those potentially exposed, and prolonged facility-wide lockdowns. Incarcerated people's lived experience of isolation during the pandemic has largely gone undocumented. Through interviews with 48 incarcerated people and 27 staff at two jails and one prison in geographically diverse locations in the United States, we document the implementation of COVID-19 isolation policies from the perspective of those that live and work in carceral settings. Incarcerated people were isolated from social contact, educational programs, employment, and recreation, and lacked clear communication about COVID-19-related protocols. Being isolated, no matter the reason, felt like punishment and was compared to solitary confinement-with resultant long-term, negative impacts on health. Participants detailed isolation policies as disruptive, detrimental to mental health, and dehumanizing for incarcerated people. Findings point to several recommendations for isolation policy in carceral settings. These include integrating healthcare delivery into isolation protocols, preserving social relationships during isolation, promoting bidirectional communication about protocols and their effect between facility leadership and incarcerated people. Most importantly, there is an urgent need to re-evaluate the current approach to the use of isolation in carceral settings and to establish external oversight procedures for its use during pandemics.

Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning.

Introduction. The risk of infectious disease transmission, including COVID-19, is disproportionately high in correctional facilities due to close living conditions, relatively low levels of vaccination, and reduced access to testing and treatment. While much progress has been made on describing and mitigating COVID-19 and other infectious disease risk in jails and prisons, there are open questions about which data can best predict future outbreaks. Methods. We used facility data and demographic and health data collected from 24 prison facilities in the Pennsylvania Department of Corrections from March 2020 to May 2021 to determine which sources of data best predict a coming COVID-19 outbreak in a prison facility. We used machine learning methods to cluster the prisons into groups based on similar facility-level characteristics, including size, rurality, and demographics of incarcerated people. We developed logistic regression classification models to predict for each cluster, before and after vaccine availability, whether there would be no cases, an outbreak defined as 2 or more cases, or a large outbreak, defined as 10 or more cases in the next 1, 2, and 3 d. We compared these predictions to data on outbreaks that occurred. Results. Facilities were divided into 8 clusters of sizes varying from 1 to 7 facilities per cluster. We trained 60 logistic regressions; 20 had test sets with between 35% and 65% of days with outbreaks detected. Of these, 8 logistic regressions correctly predicted the occurrence of an outbreak more than 55% of the time. The most common predictive feature was incident cases among the incarcerated population from 2 to 32 d prior. Other predictive features included the number of tests administered from 1 to 33 d prior, total population, test positivity rate, and county deaths, hospitalizations, and incident cases. Cumulative cases, vaccination rates, and race, ethnicity, or age statistics for incarcerated populations were generally not predictive. Conclusions. County-level measures of COVID-19, facility population, and test positivity rate appear as potential promising predictors of COVID-19 outbreaks in correctional facilities, suggesting that correctional facilities should monitor community transmission in addition to facility transmission to inform future outbreak response decisions. These efforts should not be limited to COVID-19 but should include any large-scale infectious disease outbreak that may involve institution-community transmission. Highlights: The risk of infectious disease transmission, including COVID-19, is disproportionately high in correctional facilities.We used machine learning methods with data collected from 24 prison facilities in the Pennsylvania Department of Corrections to determine which sources of data best predict a coming COVID-19 outbreak in a prison facility.Key predictors included county-level measures of COVID-19, facility population, and the test positivity rate in a facility.Fortifying correctional facilities with the ability to monitor local community rates of infection (e.g., though improved interagency collaboration and data sharing) along with continued testing of incarcerated people and staff can help correctional facilities better predict-and respond to-future infectious disease outbreaks.

Incarceration and screen-detectable cancer diagnosis among adults in Connecticut.

Although incarcerated adults are at elevated risk of dying from cancer, little is known about cancer screening in carceral settings. This study compared stage-specific incidence of screen-detectable cancers among incarcerated and recently released people with the general population, as a reflection of screening practices. We calculated the age- and sex-standardized incidence ratios (SIR) for early- and late-stage cancers for incarcerated and recently released adults compared to the general Connecticut population between 2005 and 2016. Our sample included 143 cancer cases among those incarcerated, 406 among those recently released, and 201 360 in the general population. The SIR for early-stage screen-detectable cancers was lower among incarcerated (SIR = 0.28, 95% CI = 0.17 to 0.43) and recently released (SIR = 0.69, 95% CI = 0.51 to 0.88) individuals than the general population. Incidence of late-stage screen-detectable cancer was lower during incarceration (SIR = 0.51, 95% CI = 0.27 to 0.88) but not after release (SIR = 1.32, 95% CI = 0.93 to 1.82). Findings suggest that underscreening and underdetection of cancer may occur in carceral settings.

Response to substance use during hospitalization: A survey study of current and ideal policies and practices.

People may use nonprescribed substances during an acute hospitalization. Hospital policies and responses can be stigmatizing, involve law enforcement, and lead to worse patient outcomes, including patient-directed discharge. In the United States, there is currently little data on hospital policies that address the use of substances during hospitalization. In this cross-sectional study, we surveyed clinicians at US hospitals with Accreditation Council of Graduate Medical Education (ACGME)-accredited addiction medicine fellowships about their current practices and policies and what they would include in an ideal policy. We had 77 responses from 55 out of 86 ACGME-addiction medicine fellowships (63.9%). Respondents identified policies at 21.8% of the institutions surveyed. Current responses to inpatient substance use vary, though most do not match what clinicians identify as an ideal response. Our results suggest that the use of nonprescribed substances during a hospitalization may be common, but a majority of hospitals likely do not have patient-centered policies to address this.

Personal Health Libraries for People Returning From Incarceration: Protocol for a Qualitative Study.

BACKGROUND: Individuals released from carceral facilities have high rates of hospitalization and death, especially in the weeks immediately after their return to community settings. During this transitional process, individuals leaving incarceration are expected to engage with multiple providers working in separate, complex systems, including health care clinics, social service agencies, community-based organizations, and probation and parole services. This navigation is often complicated by individuals' physical and mental health, literacy and fluency, and socioeconomic status. Personal health information technology, which can help people access and organize their health information, could improve the transition from carceral systems to the community and mitigate health risks upon release. Yet, personal health information technologies have not been designed to meet the needs and preferences of this population nor tested for acceptability or use. OBJECTIVE: The objective of our study is to develop a mobile app to create personal health libraries for individuals returning from incarceration to help bridge the transition from carceral settings to community living. METHODS: Participants were recruited through Transitions Clinic Network clinic encounters and professional networking with justice-involved organizations. We used qualitative research methods to assess the facilitators and barriers to developing and using personal health information technology for individuals returning from incarceration. We conducted individual interviews with people just released from carceral facilities (n=~20) and providers (n=~10) from the local community and carceral facilities involved with the transition for returning community members. We used rigorous rapid qualitative analysis to generate thematic output characterizing the unique circumstances impacting the development and use of personal health information technology for individuals returning from incarceration and to identify content and features for the mobile app based on the preferences and needs of our participants. RESULTS: As of February 2023, we have completed 27 qualitative interviews with individuals recently released from carceral systems (n=20) and stakeholders (n=7) who support justice-involved individuals from various organizations in the community. CONCLUSIONS: We anticipate that the study will characterize the experiences of people transitioning from prison and jails to community settings; describe the information, technology resources, and needs upon reentry to the community; and create potential pathways for fostering engagement with personal health information technology. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44748.

COVID-19 vaccine deliberation in individuals directly impacted by incarceration.

Delays in vaccinating communities of color to COVID-19 have signaled a need to investigate structural barriers to vaccine uptake, with mass incarceration demanding greater characterization as a potential factor. In a nationally representative survey from February-March 2021 (N = 1,157), exposure to the criminal legal system, defined as having been incarcerated in prison or jail or having had a family member or close friend incarcerated, was associated with higher odds for COVID-19 vaccine deliberation. Individuals with criminal legal system exposure reported lower confidence in physician recommendation as a reason to get vaccinated. They were also more likely to decline vaccination out of fear it would cause COVID-19 infection, and that the vaccine might be promoted as a political tool. Our analysis suggests that populations impacted by the criminal legal system would benefit from targeted vaccine outreach by trusted community members who can address distrust during current and future pandemics.

Cancer incidence among incarcerated and formerly incarcerated individuals: A statewide retrospective cohort study.

BACKGROUND: Cancer incidence among individuals with incarceration exposure has been rarely studied due to the absence of linked datasets. This study examined cancer incidence during incarceration and postincarceration compared to the general population using a statewide linked cohort. METHODS: We constructed a retrospective cohort from a linkage of state tumor registry and correctional system data for Connecticut residents from 2005 to 2016, and identified cancers diagnosed during and within 12 months postincarceration. We estimated incidence rates (including for screen-detectable cancers) and calculated the standardized incidence ratios (SIR) for the incarcerated and recently released populations, relative to the general population. We also examined cancer incidence by race and ethnicity within each group. RESULTS: Cancer incidence was lower in incarcerated individuals (SIR = 0.64, 95% CI 0.56-0.72), but higher in recently released individuals (SIR = 1.34, 95% CI 1.23-1.47) compared with the general population, and across all race and ethnic strata. Similarly, nonscreen-detectable cancer incidence was lower in incarcerated and higher in recently released populations compared to the general population. However, non-Hispanic Black individuals had elevated incidence of screen-detectable cancers compared with non-Hispanic White individuals across all three populations (incarcerated, SIR = 1.66, 95% CI 1.03-2.53; recently released, SIR = 1.83, 95% CI 1.32-2.47; and general population, SIR = 1.18, 95% CI 1.16-1.21). CONCLUSION: Compared with the general population, incarcerated persons have a lower cancer incidence, whereas recently released persons have a higher cancer incidence. Irrespective of incarceration status, non-Hispanic Black individuals have a higher incidence of screen-detectable cancers compared with non-Hispanic White individuals. Supplemental studies examining cancer screening and diagnoses during incarceration are needed to discern the reasons for observed disparities in incidence.

Exploring the Relationship between Debt and Health after Incarceration: a Survey Study.

Financial debt and incarceration are both independently associated with poor health, but there is limited research on the association between debt and health for those leaving incarceration. This exploratory study surveyed 75 people with a chronic health condition and recent incarceration to examine debt burden, financial well-being, and possible associations with self-reported health. Eighty-four percent of participants owed at least one debt, with non-legal debt being more common than legal debt. High financial stress was associated with poor self-reported health and the number of debts owed. Owing specific forms of debt was associated with poor health or high financial stress. Non-legal financial debt is common after incarceration, and related stress is associated with poor self-reported health. Future research is needed in larger populations in different geographical areas to further investigate the relationship and the impact debt may have on post-release poor health outcomes. Policy initiatives to address debt in the post-release population may improve health.

Treating Hepatitis C in Individuals With Previous Incarceration: The Veterans Health Administration, 2012-2019.

To determine whether the Veterans Health Administration's (VHA) hepatitis C (HCV) treatment campaign reached marginalized populations, we compared HCV care by previous incarceration status with Veterans Aging Cohort Study data. Of those with and those without previous incarceration, respectively, 40% and 21% had detectable HCV, 59% and 65% underwent treatment (P = .07); 92% and 94% of those who completed treatment achieved sustained virologic response. The VHA HCV treatment effort was successful and other systems should replicate those efforts. (Am J Public Health. 2023;113(2):162-165. https://doi.org/10.2105/AJPH.2022.307152).

The Association Between Civil Legal Needs After Incarceration, Psychosocial Stress, and Cardiovascular Disease Risk Factors.

Many formerly incarcerated people have civil legal needs that can imperil their successful re-entry to society and, consequently, their health. We categorize these needs and assess their association with cardiovascular disease risk factors in a sample of recently released people. We find that having legal needs related to debt, public benefits, housing, or healthcare access is associated with psychosocial stress, but not uncontrolled high blood pressure or high cholesterol, in the first three months after release.

Being a Peer Community Health Worker: Restoring Ourselves and the Community.

Women on the Road to Health Transitions combines two evidence-based strategies, WORTH and Transitions Clinic Network into an intervention for women involved in the criminal legal system with substance use and HIV risks. Led by peer community health workers (CHWs), Women on the Road to Health Transitions also links participants to primary care. We describe the impact of the program from the perspective of the CHWs. As integral research team members, the CHWs learned to successfully recruit, retain, and empower participants, facilitate the intervention, administer surveys, and help them link with and navigate the healthcare system. Simultaneously, the CHWs developed professional skills and self-efficacy.

Attending to cardiovascular disease risk factors after incarceration: A study of empowerment and structural barriers to care.

Incarceration in the United States is associated with high rates of cardiovascular disease (CVD) risk factors and elevated CVD risk continues into the immediate period following release from prison. One reason may be that people who are released from incarceration experience difficulties accessing healthcare and navigating the healthcare system. We use empowerment theory to describe the experiences of people after release from incarceration who have been diagnosed with or affected by risk factors for CVD, specifically focusing on ways in which they overcome barriers within the United States' medical system. We conducted a secondary analysis of qualitative data collected in Baltimore, MD in 2019. Qualitative data were collected through interviews and interactive discussion forums with 98 people who were previously incarcerated and 19 key informants. Data were analysed using qualitative thematic analysis guided by the theoretical constructs of powerlessness and empowerment. Individuals who were formerly incarcerated described feeling empowered primarily through personal motivation, maintaining a positive mindset and receiving support from within the system. They also listed a number of structural barriers they faced and repeatedly suggested a desire for improved access to healthcare and a greater understanding of the healthcare system. Efforts to develop a straightforward and easily accessible support system can promote empowerment and encourage a successful return to society and should be prioritised.

Trauma, Mental Health Distress, and Infectious Disease Prevention Among Women Recently Released From Incarceration.

Background: U.S. women recently released from incarceration experience significantly higher rates of trauma and exacerbation of mental health conditions, and the period following release has been identified as a window of heightened risk for mental health distress and human immunodeficiency virus (HIV), sexually transmitted infections (STI) and hepatitis C (HCV) transmissions. Despite these vulnerabilities, and an urgent need for supports, optimal engagement strategies remain unclear. WORTH Transitions is a program made up of two evidence-based interventions focused on improving the health of women returning to the community from incarceration with substance use disorders. Combining the two was designed to reduce HIV/STIs/HCV risks and increase overall health treatment engagement using a community health worker led intervention. Methods: We examined associations between trauma, mental health symptomology, and HIV/STI/HCV outcomes among women who engaged in the WORTH Transitions intervention (N = 206) Specifically, bivariate and longitudinal multivariate models were created to examine associations between trauma and mental health distress (defined as depressive and PTSD symptoms), on (1) types of engagement in HIV/STIs/HCV prevention and behavioral health services; and (2) HIV/STIs/HCV risk outcomes. The women who engaged in the intervention were 18 years and older and some were White, Black and other racial or ethnic minority. Results: PTSD symptomology and being a Black or indigenous woman of color was significantly (p = 0.014) associated with individual or group session engagement. Neither trauma nor PTSD symptoms were associated with higher HIV/STIs/HCV risks. Instead, relative to those who did not engage in HIV/STI/HCV risky behaviors, PTSD symptomology (p = 0.040) was associated with more than 3-fold increase in the probability of being lost to follow up (relative risk ratio = 3.722). Conclusion: Given the impact of PTSD-related symptoms on driving both engagement in HIV/STIs/HCV prevention services and intervention attrition among women leaving incarceration, physical and behavioral health interventions must be both overtly trauma- and mental health-informed. As was the case with WORTH Transitions, physical and behavioral health services for this population must include intentional and active support of the forms of treatment participants endorse to ensure maximal engagement.

A prospective cohort study examining exposure to incarceration and cardiovascular disease (Justice-Involved Individuals Cardiovascular Disease Epidemiology - JUSTICE study): a protocol paper.

BACKGROUND: People who have been incarcerated have high rates of cardiovascular risk factors, such as hypertension and smoking, and cardiovascular disease (CVD) is a leading cause of hospitalizations and mortality in this population. Despite this, little is known regarding what pathways mediate the association between incarceration exposure and increased rates of CVD morbidity and especially what incarceration specific factors are associated with this risk. The objective of this study is to better understand CVD risk in people exposed to incarceration and the pathways by which accumulate cardiovascular risk over time. METHODS AND ANALYSIS: The Justice-Involved Individuals Cardiovascular Disease Epidemiology (JUSTICE) study is a prospective cohort study of individuals released from incarceration with known cardiovascular risk factors. We are recruiting 500 individuals within three months after release from jail/prison. At baseline we are assessing traditional risk factors for CVD, including diet, exercise, and smoking, and exposure to incarceration-related policies, psychosocial stress, and self-efficacy. Cardiovascular risk factors are measured at baseline through point of care testing. We are following these individuals for the 12 months following the index release from incarceration with re-evaluation of psychosocial factors and clinical risk factors every 6 months. Using these data, we will estimate the direct and indirect latent effects of incarceration on cardiovascular risk factors and the paths via which these effects are mediated. We will also model the anticipated 10-year burden of CVD incidence, health care use, and mortality associated with incarceration. DISCUSSION: Our study will identify factors associated with CVD risk factor control among people released from incarceration. Our measurement of incarceration-related exposures, psychosocial factors, and clinical measures of cardiovascular risk will allow for identification of unique targets for intervention to modify CVD risk in this vulnerable population.

A roadmap for cardiovascular care after release from incarceration: uses of a smartphone application.

OBJECTIVE: Cardiovascular disease (CVD) and its risk factors disproportionately affect people returning from incarceration. These individuals face multiple barriers to obtaining care, which can impact CVD and risk factor management and may be mitigated through use of a smartphone application (app). Therefore, we explored the CVD-related needs of people released from incarceration and which app features would support these needs. MATERIALS AND METHODS: In 2019, we collected qualitative data through 7 focus groups with 76 returning citizens and 19 key informants through interviews and small group discussions in Baltimore, Maryland. Verbal data were audio-recorded, transcribed, and analyzed using inductive thematic coding with N-Vivo qualitative software. RESULTS: Returning citizens face multiple barriers when trying to engage in care and services related to cardiovascular health, including around medications and health insurance. Some major challenges were identifying trusted social services and making cardiovascular health a priority. Findings suggested that CVD risk factors could be more effectively addressed in combination with attending to other pressing needs related to employment, housing, behavioral health, and building trust. Participants suggested that a smartphone app would be most useful if it broadly addressed these issues by linking returning citizens to social services, including recommendations from peers, and facilitating access to healthcare. DISCUSSION: Returning citizens need broad support for societal reintegration. Addressing social issues would allow them to focus on cardiovascular health. CONCLUSION: Given the challenges experienced after release from incarceration, an app focused on social and health-access issues may help returning citizens meet their CVD needs.

Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities.

OBJECTIVE: We sought to understand spatial-temporal factors and socioeconomic disparities that shaped U.S. residents' response to COVID-19 as it emerged. METHODS: We mined coronavirus-related tweets from January 23rd to March 25th, 2020. We classified tweets by the socioeconomic status of the county from which they originated with the Area Deprivation Index (ADI). We applied topic modeling to identify and monitor topics of concern over time. We investigated how topics varied by ADI and between hotspots and non-hotspots. RESULTS: We identified 45 topics in 269,556 unique tweets. Topics shifted from early-outbreak-related content in January, to the presidential election and governmental response in February, to lifestyle impacts in March. High-resourced areas (low ADI) were concerned with stocks and social distancing, while under-resourced areas shared negative expression and discussion of the CARES Act relief package. These differences were consistent within hotspots, with increased discussion regarding employment in high ADI hotspots. DISCUSSION: Topic modeling captures major concerns on Twitter in the early months of COVID-19. Our study extends previous Twitter-based research as it assesses how topics differ based on a marker of socioeconomic status. Comparisons between low and high-resourced areas indicate more focus on personal economic hardship in less-resourced communities and less focus on general public health messaging. CONCLUSION: Real-time social media analysis of community-based pandemic responses can uncover differential conversations correlating to local impact and income, education, and housing disparities. In future public health crises, such insights can inform messaging campaigns, which should partly focus on the interests of those most disproportionately impacted.