Continuity of mental health care during the transition from prison to the community following brief periods of imprisonment

How competing needs after incarceration lead to adverse health outcomes among people who use criminalized drugs

In the USA, people with a history of criminalized drug use and drug use disorders reentering the community after incarceration frequently experience adverse health outcomes including overdose, suicide, and infectious disease acquisition. This review presents a conceptual model for understanding risk pathways for these outcomes related to post-release psychosocial needs. We first summarize the literature on post-release needs experienced by people who use criminalized drugs during reentry in multiple domains, including basic needs and those related to relationships as well as medical, mental health, and substance use problems. Drawing from a socioecological model, we demonstrate how vulnerability factors related to criminal legal involvement and criminalized drug use operate at intrapersonal (i.e., individual), interpersonal, institutional, community, and policy levels to negatively affect the ability of people who use drugs to meet each of these types of needs. We present research demonstrating that when people leaving incarceration are met with the overwhelming task of addressing competing demands, they often experience strong negative affect, which can lead to risk-conferring behaviors including criminalized drug use. Competing needs also create environmental conditions that amplify risk. We argue for the importance of interventions that address determinants of post-release health at individual and social-environmental levels to prevent adverse outcomes.

Transfer to community and prison mental health care from Ireland's main remand prison over three years: 2015-2017

Background

The post-release period is associated with an increased risk of morbidity and mortality. Previous studies have identified deficits in pre-release planning for mentally ill people in prison, particularly in remand settings.

Objectives

We aimed to determine the proportion of mentally ill people in Ireland's main remand prison who were referred for mental health follow up in community and prison settings, who achieved face to face contact with the receiving service.

Method

This retrospective observational cohort study was based in Ireland's main male remand prison, Cloverhill. Participants included all those individuals on the caseload of the prison inreach mental health team who were referred for mental health follow up in community and prison settings at the time of discharge, prison transfer or release from custody over a three-year period, 2015 - 2017. Successful transfer of care (TOC) was defined as face-to-face contact with the receiving service, confirmed by written correspondence or by follow up telephone call. Clinical, demographic and offence related variables were recorded for all participants.

Results

There were 911 discharges from the prison inreach mental health team within the three-year study period. Of these, 121 were admitted to hospital, 166 were transferred to other prison inreach mental health services and 237 were discharged to community based mental health follow up in psychiatric outpatient or primary care settings. One third (304/911) had an ICD-10 diagnosis of schizophreniform or bipolar disorder (F20-31) and 37.5% (161/911) were homeless. Over 90% (152/166) of those referred to mental health teams in other prisons achieved successful TOC, with a median of six days to first face-to face assessment. Overall, 59% (140/237) of those referred to community psychiatric outpatient or primary care services achieved TOC following referral on release from custody, with a median of nine days from release to assessment. Clinical and demographic variables did not differ between those achieving and not achieving successful TOC, other than having had input from the PICLS Housing Support Service.

Conclusion

Successful transfer of care can be achieved in remand settings using a systematic approach with an emphasis on early and sustained interagency liaison and clear mapping of patient pathways. For incarcerated individuals experiencing homelessness and mental health disorders, provision of a housing support service was associated with increased likelihood of successful transfer of care to community mental health supports.

Psychiatric and legal considerations for ketamine treatment within prison settings

The fundamental right to equivalence of health care in prison settings encompasses the provision of medication to address mental health conditions. Considering the increased risk for self-harm among individuals dealing with depression, the limited effectiveness of conservative antidepressants is a major challenge in psychiatry. The high prevalence of suicidal tendencies within prison populations underscores the imperative for state-of-the-art pharmacological treatment to uphold adequate health care standards. Notably, the denial of access to effective medication could be deemed a violation of human rights of people living in prison according to international treaties, domestic law, and United Nations normative standards of detention. This article presents the authors' perspective on the accessibility of ketamine treatment in prison settings, discussing psychiatric and legal considerations as well as current challenges in this context. Implementing novel psychopharmacological interventions may alleviate the distress experienced by individuals struggling with depressive symptoms and suicidality. At the same time, unprecedented treatment alternatives bring along potential issues, including limited understanding of long-term effects and the risk of abuse. Given the scarce data-availability, a pressing need exists for further research on the benefits and risks of ketamine treatment within prison populations.

Psychiatric admissions in young people after expiration of criminal justice supervision in Australia: a retrospective data linkage study

BACKGROUND

Mental health services are available for young people involved with the criminal justice system. However, they have unmet mental health needs after the expiration of criminal justice supervision.

OBJECTIVE

To determine the incidence rate and identify predictors of psychiatric hospitalisations within 24 months after the expiration of criminal justice supervision among young people involved with the New South Wales (NSW) criminal justice system.

METHODS

Retrospective data from 1556 individuals aged 14-22 years who participated in four surveys of justice-involved young people in NSW were harmonised and linked to four NSW data collections. We calculated the incidence rates of psychiatric hospitalisations within 24 months postsupervision and identified predictors of these hospitalisations using a competing risks regression analysis.

RESULTS

Within 24 months postsupervision, 11.4% had a psychiatric hospitalisation compared with 3.5% during supervision. 20.7% of those admitted had a known history of mental illness and engaged with community-based and outpatient mental health services postsupervision. Predictors of psychiatric hospitalisations were: female sex (adjusted subdistribution HR (asHR) 1.84, 95% CI 1.24 to 2.73); previous incarceration (highest asHR for ≥4 episodes 1.67, 95% CI 1.01 to 2.78); head injury (asHR 1.63, 95% CI 1.20 to 2.21); personality disorder (asHR 3.66, 95% CI 2.06 to 6.48) and alcohol and substance use disorder (asHR 1.89, 95% CI 1.29 to 2.77).

CONCLUSION

Justice-involved youth have higher rates of psychiatric admissions after criminal justice supervision. Engagement with mental health services postsupervision is important in addressing emerging or persisting mental health needs.

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.

Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid

While there are many data-driven approaches to identifying individuals at risk of suicide, they tend to focus on clinical risk factors, such as previous psychiatric hospitalizations, and rarely include risk factors that occur in nonclinical settings, such as jails or emergency shelters. A better understanding of system-level encounters by individuals at risk of suicide could help inform suicide prevention efforts. In Philadelphia, we built a community-level data infrastructure that encompassed suicide death records, behavioral health claims, incarceration episodes, emergency housing episodes, and involuntary commitment petitions to examine a broader spectrum of suicide risk factors. Here, we describe the development of the data infrastructure, present key trends in suicide deaths in Philadelphia, and, for the Medicaid-eligible population, determine whether suicide decedents were more likely to interact with the behavioral health, carceral, and housing service systems compared to Medicaid-eligible Philadelphians who did not die by suicide. Between 2003 and 2018, there was an increase in the number of annual suicide deaths among Medicaid-eligible individuals, in part due to changes in Medicaid eligibility. There were disproportionately more suicide deaths among Black and Hispanic individuals who were Medicaid-eligible, who were younger on average, compared to suicide decedents who were never Medicaid-eligible. However, when we accounted for the racial and ethnic composition of the Medicaid population at large, we found that White individuals were four times as likely to die by suicide, while Asian, Black, Hispanic, and individuals of other races were less likely to die by suicide. Overall, 58% of individuals who were Medicaid-eligible and died by suicide had at least one Medicaid-funded behavioral health claim, 10% had at least one emergency housing episode, 25% had at least one incarceration episode, and 22% had at least one involuntary commitment. By developing a data infrastructure that can incorporate a broader spectrum of risk factors for suicide, we demonstrate how communities can harness administrative data to inform suicide prevention efforts. Our findings point to the need for suicide prevention in nonclinical settings such as jails and emergency shelters, and demonstrate important trends in suicide deaths in the Medicaid population.