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Background: Incarceration is a social determinant of cardiovascular health but is rarely addressed in clinical settings or public health prevention efforts. People who have been incarcerated are more likely to develop cardiovascular disease (CVD) at younger ages and have worse cardiovascular outcomes compared with the general population, even after controlling for traditional risk factors. This study aims to identify incarceration-specific factors that are associated with uncontrolled CVD risk factors to identify potential targets for prevention., Methods and Results: Using data from JUSTICE (Justice-Involved Individuals Cardiovascular Disease Epidemiology), a prospective cohort study of individuals released from incarceration with CVD risk factors, we examine the unique association between incarceration-specific factors and CVD risk factor control. Participants (N=471), with a mean age of 45.0±10.8 (SD) years, were disproportionately from racially minoritized groups (79%), and poor (91%). Over half (54%) had at least 1 uncontrolled CVD risk factor at baseline. People released from jail, compared with prison, had lower Life's Essential 8 scores for blood pressure and smoking. Release from jail, as compared with prison, was associated with an increased odds of having an uncontrolled CVD risk factor, even after adjusting for age, race and ethnicity, gender, perceived stress, and life adversity score (adjusted odds ratio 1.62 [95% CI, 1.02-2.57])., Discussion: Release from jail is associated with poor CVD risk factor control and requires tailored intervention, which is informative as states design and implement the Centers of Medicare & Medicaid Services Reentry 1115 waiver, which allows Medicaid to cover services before release from correctional facilities.

Medical-legal partnerships (MLPs) are well suited to address health-harming legal needs associated with the collateral consequences of mass incarceration in the United States, such as those that limit access to food, housing, employment, and family reunification postrelease. MLP innovations seek to expand the current model to address patients' criminal, as well as postrelease, civil legal needs by including community health workers and some patients as legal partners and creating coalitions to promote local and state policy change. Overall, this article explains how these MLP innovations can support rights of people returning to communities after incarceration and can be leveraged to mitigate criminal legal system involvement., (Copyright 2024 American Medical Association. All Rights Reserved.)

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., Competing Interests: None., (© The Author(s) 2024.)

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., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Rosenberg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

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., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by an NIH RADx Award, grant 3UG1DA050072-02S3. MB was partially supported by grant R37-DA15612 from the National Institute on Drug Abuse., (© The Author(s) 2024.)

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., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

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., (©Marisol Foumakoye, Meredith Campbell Britton, Emile Ansari, Monya Saunders, Terika McCall, Emily A Wang, Lisa B Puglisi, T Elizabeth Workman, Qing Zeng-Treitler, Yin Ying, Shira Shavit, Cynthia A Brandt, Karen H Wang. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 03.05.2023.)

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).

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., (© 2023. The New York Academy of Medicine.)

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., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Johnson, Hunt, Puglisi, Maeng, Epa-Llop, Elumn, Nguyen, Leung, Chen, Shah, Wang, Johnson, Chapman, Gilbert, El-Bassel and Morse.)

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., (© 2022. The Author(s).)

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., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)