Analysis of Early Intervention Services on Adult Judicial Outcomes

Patterns and correlates of health service contact prior to serious offences by people with severe mental illness

BACKGROUND

Contact with health services prior to offences committed by people with mental illness is an opportunity for intervention and prevention. This study examines the pattern and correlates of health service contact by people with severe mental illness before a serious offence.

METHOD

Linkage of a cohort of 477 Forensic Patients found not guilty due to mental illness between 1990 and 2016, and statewide databases of contact with emergency departments, hospital admission and outpatient mental health services in the state of New South Wales, Australia.

RESULTS

A total of 84% of the sample had contact with any health service and 76% had contact with an outpatient mental health service prior to the index offence. About two-thirds of the sample had contact with a mental health service in the year before the offence. Factors independently associated with the absence of contact at any point prior to the index offence were non-English-speaking background, being engaged in employment or study, and an absence of childhood abuse or neglect. Although nearly every Forensic Patient had a psychotic illness at the time of the index offence, psychosis was not diagnosed at the time of 61/106 (57.5%) emergency department presentations, in 54/174 (31.0%) hospital admissions and 149/222 (67.1%) attendances at outpatient mental health services prior to the offence.

CONCLUSIONS

Most Forensic Patients had contact with health services prior to their offences but many were not identified as having a psychotic illness. Although the symptoms of psychosis may have emerged in the period between contact and the offence, the findings suggest that emerging or underlying psychosis were missed or attributed to other conditions.

First episode psychoses in people over-35 years old: uncovering potential actionable targets for early intervention services

The traditional youth-oriented design of Early Intervention Services (EIS) may lead to the exclusion of patients who have their psychotic onset later in life. A retrospective study was conducted to compare first-episode psychosis (FEP) patients who accessed treatment when aged ≤ 35 years with those ≥36+. A total of 854 patients were identified among 46,222 individuals who had access to community psychiatric services from 1991 to 2021. FEP were aged 18-65, received care between 2012 and 2021 and had a diagnosis of affective or non-affective FEP. Two groups were identified (FEP diagnosed at age ≤ 35 vs ≥ 36) and compared for sociodemographic and clinical characteristics. Most patients were diagnosed when aged ≥ 36+ (61.8%). Compared to the ≤ 35 group, older patients were more likely to be women, married and diagnosed with affective psychosis, and they were less frequently hospitalized. Long-acting injectables antipsychotics (LAI) were less frequently prescribed in the ≥ 36+ group, whereas antidepressants were more frequently prescribed compared to those aged ≤ 35. In both age groups, women were less frequently prescribed LAIs compared to men. These findings highlight the need to reorient EIS to accommodate the needs of older FEP, especially women.

Role of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis

OBJECTIVE

Prolonged duration of untreated psychosis (DUP) predicts poor outcomes of first-episode psychosis (FEP) and is often linked to low socioeconomic status (SES). The authors sought to determine whether patients' personal income, used as a proxy for SES, predicts length of DUP and whether personal income influences the effect of an early psychosis detection campaign-called Mindmap-on DUP reduction.

METHODS

Data were drawn from a trial that compared the effectiveness of early detection in reducing DUP across the catchment area of an FEP service (N=147 participants) compared with an FEP service with no early detection (N=75 participants). Hierarchical regression was used to determine whether personal income predicted DUP when analyses controlled for effects of age, race, and exposure to early psychosis detection. A group × personal income interaction term was used to assess whether the DUP difference between the early detection and control groups differed by personal income.

RESULTS

Lower personal income was significantly associated with younger age, fewer years of education, Black race, and longer DUP. Personal income predicted DUP beyond the effects of age, race, and early psychosis detection. Although Mindmap significantly reduced DUP across all income levels, this effect was smaller for participants reporting lower personal income.

CONCLUSIONS

Patients' personal income may be an important indicator of disparity in access to specialty care clinics across a wide range of settings. Early detection efforts should measure and target personal income and other SES indicators to improve access for all individuals who may benefit from FEP services.

Identifying Individuals With Early Psychosis in Jail: Lessons Learned for Coordinated Specialty Care Services

OBJECTIVE

This study sought to establish the feasibility of a two-component intervention embedded within a jail setting that would detect detainees with early psychosis and connect them to coordinated specialty care (CSC) in the community upon release.

METHODS

The two components of the intervention were a targeted educational campaign for correction officers and a specialized early engagement support service to facilitate jail discharge planning. Jail detainees with early psychosis were referred to the project and assessed for positive and negative symptoms, substance use, and duration of untreated psychosis (DUP). During a 24-month period, 25 individuals were referred, of whom eight were eligible and interviewed.

RESULTS

The sociodemographic and clinical characteristics of the jail detainees were similar to those of individuals in hospital settings. The median DUP was 36 weeks. One of the eight detainees with early psychosis was successfully referred to CSC; for the other detainees, social or criminal legal factors precluded referral.

CONCLUSIONS

A targeted educational campaign for correction officers and a specialized early engagement support service can be implemented in a jail setting, and referrals can be facilitated. Success of the campaign may depend on having dedicated liaisons within the jail setting (e.g., among correctional health staff) as well as liaisons in local CSC programs and leadership. Changes in the law and policy environments (e.g., criminal legal system reform) and changes in organizational practices and processes for corrections, correctional health, and local CSC programs (such as those made during the COVID-19 pandemic) require ongoing collaborations.

Carepath for overcoming psychosis early (COPE): first 5 years of clinical operation and prospective research in the Cavan-Monaghan early intervention service

OBJECTIVES

As Ireland confronts the many challenges of broadening the introduction of early intervention services (EIS) for first episode psychosis (FEP) as national policy, this article describes Carepath for Overcoming Psychosis Early (COPE), the EIS of Cavan-Monaghan Mental Health Service, and presents prospective research findings during its first 5 years of operation.

METHODS

COPE was launched as a rural EIS with an embedded research protocol in early 2012, following an education programme for general practitioners (GPs). Here, operational activities are documented and research findings presented through to late 2016.

RESULTS

During this period, 115 instances of FEP were incepted into COPE, 70.4% via their GP and 29.6% via the Emergency Department. The annual rate of inception was 24.8/100,000 of population aged > 15 years and was 2.1-fold more common among men than women. Mean duration of untreated psychosis was 5.7 months and median time from first psychotic presentation to initiation of antipsychotic treatment was zero days. Assessments of psychopathology, neuropsychology, neurology, premorbid functioning, quality of life, insight, and functionality compared across 10 DSM-IV psychotic diagnoses made at six months following presentation indicated minimal differences between them, other than more prominent negative symptoms in schizophrenia and more prominent mania in bipolar disorder.

CONCLUSIONS

COPE illustrates the actuality of introducing and the challenges of operating a rural EIS for FEP. Prospective follow-up studies of the 5-year COPE cohort should inform on the effectiveness of this EIS model in relation to long-term outcome in psychotic illness across what appear to be arbitrary diagnostic boundaries at FEP.

Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study

Background

The immediate use of data exported from electronic health records (EHRs) for research is often limited by the necessity to transform data elements into an actual data set.

Objective

This paper describes the methodology for establishing a data set that originated from an EHR registry that included clinical, health service, and sociodemographic information.

Methods

The Extract, Transform, Load process was applied to raw data collected at the Integrated Department of Mental Health and Pathological Addictions in Ferrara, Italy, from 1925 to February 18, 2021, to build the new, anonymized Ferrara-Psychiatry (FEPSY) database. Information collected before the first EHR was implemented (ie, in 1991) was excluded. An unsupervised cluster analysis was performed to identify patient subgroups to support the proof of concept.

Results

The FEPSY database included 3,861,432 records on 46,222 patients. Since 1991, each year, a median of 1404 (IQR 1117.5-1757.7) patients had newly accessed care, and a median of 7300 (IQR 6109.5-9397.5) patients were actively receiving care. Among 38,022 patients with a mental disorder, 2 clusters were identified; the first predominantly included male patients who were aged 25 to 34 years at first presentation and were living with their parents, and the second predominantly included female patients who were aged 35 to 44 years and were living with their own families.

Conclusions

The process for building the FEPSY database proved to be robust and replicable with similar health care data, even when they were not originally conceived for research purposes. The FEPSY database will enable future in-depth analyses regarding the epidemiology and social determinants of mental disorders, access to mental health care, and resource utilization.

Sampling from different populations: Sociodemographic, clinical, and functional differences between samples of first episode psychosis individuals and clinical high-risk individuals who progressed to psychosis

Over the past two decades, research and clinical resources on clinical high risk (CHR) for psychosis have both expanded, with goals to better understanding risk and protective factors on the course of illness and inform early intervention efforts. However, some studies have highlighted potential sampling bias among CHR research studies, raising questions about generalizability of findings and inequitable access to early detection and intervention. The current study sought to explore these questions by comparing 94 participants in a CHR longitudinal monitoring study across North America (NAPLS-2) who converted to syndromal psychosis over the course of the study (CHR-CV) to 171 participants who presented for treatment at a localized first-episode psychosis service (FES) after converting. CHR-CV participants were significantly more likely to be White and have a college-educated parent, while FES participants were more likely to be Black and first- or second-generation immigrants. On average, CHR-CV participants were younger at onset of attenuated positive symptoms, had a longer period of attenuated symptoms prior to conversion, and were more likely to be treated with antipsychotics prior to conversion compared to those in FES programs. After controlling for time since conversion, CHR-CV participants had higher global functioning and were less likely to have experienced recent psychiatric hospitalization. Findings suggest that CHR research and FES clinics may be sampling from different populations, although conclusions are limited by inconsistent sampling frames and methods. Integrated early detection that targets defined geographic catchments may deliver more epidemiologically representative samples to both CHR research and FES.

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment

PURPOSE OF REVIEW

This review will cover the most relevant findings on the use of machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the studies published in the last three years focusing on illness detection and treatment.

RECENT FINDINGS

Multiple ML tools that include mostly supervised approaches such as support vector machine, gradient boosting, and random forest showed promising results by applying these algorithms to various sources of data: socio-demographic information, EEG, language, digital content, blood biomarkers, neuroimaging, and electronic health records. However, the overall performance, in the binary classification case, varied from 0.49, which is to be considered very low (i.e., noise), to over 0.90. These results are fully justified by different factors, some of which may be attributable to the preprocessing of the data, the wide variety of the data, and the a-priori setting of hyperparameters. One of the main limitations of the field is the lack of stratification of results based on biological sex, given that psychosis presents differently in men and women; hence, the necessity to tailor identification tools and data analytic strategies. Timely identification and appropriate treatment are key factors in reducing the consequences of psychotic disorders. In recent years, the emergence of new analytical tools based on artificial intelligence such as supervised ML approaches showed promises as a potential breakthrough in this field. However, ML applications in everyday practice are still in its infancy.

Reducing Delay From Referral to Admission at a U.S. First-Episode Psychosis Service: A Quality Improvement Initiative

Duration of untreated psychosis (DUP), the period between psychosis onset and entry into care, is a time of great vulnerability. Longer DUP predicts poorer outcomes, and delayed treatment access can limit the effectiveness of coordinated specialty care (CSC) services. This column details one component of a broader early detection campaign, a quality improvement intervention focusing on reducing the delay between confirmation of eligibility and admission to care within a benchmark period of 7 days. Median delay significantly fell (from 13.5 to 3 days), and the proportion of admissions that met the benchmark increased (from 33% to 71%) over 4 years. This intervention provides a sustainable model to reduce wait times at CSC services.

Mixed-effects models reveal prediction of long-term outcome by duration of untreated psychosis (DUP) and illness (DUI) varies with quantile gradation but is invariant with time across 7 years in the Cavan-Monaghan First Episode Psychosis Study (CAMFEPS)

While associations between duration of untreated psychosis (DUP) and outcome have been widely reported, how long these relationships endure following initiation of treatment and how such associations are distributed across the range of DUP values encountered remain unclear. This study investigates prospectively (i) whether prediction of outcome by DUP and by duration of untreated illness (DUI) diminishes, remains stable or increases in the long term after initiating treatment, and (ii) whether these relationships for differing indices of outcome vary across gradations of DUP-DUI values. Sixty-two subjects were evaluated prospectively for DUP, DUI, premorbid features, psychopathology and quality of life at both first episode psychosis (FEP) and at 7-year follow-up; functionality and service engagement were assessed at follow-up. Data were analysed using mixed-effects models for DUP and DUI quantiles. Prediction by longer DUP and DUI of greater psychopathology, particularly negative symptoms, and lower quality of life remained stable between FEP and follow-up; longer DUP and DUI also predicted lower functionality and service engagement at follow-up. While most associations were confined to the longest DUP-DUI quartile, those between DUP-DUI and negative symptoms and quality of life were distributed in a graded manner across DUP-DUI quartiles. Material confounding with premorbid features, including lead-time bias, was not supported. These findings suggest that benefits of reducing DUP-DUI may endure for at least a decade beyond FEP and that even modest reductions in DUP-DUI may confer particular advantage in the more debilitating and intransigent domain of impairment.

Non-Indigenous privilege in health, justice and social services preceding first episode psychosis: A population-based cohort study

BACKGROUND

There is evidence of disparities between non-Indigenous and Indigenous incidence of psychotic disorders. Despite these disparities being a clear signpost of the impact of structural racism, there remains a lack of evidence to target institutional factors. We aimed to investigate non-Indigenous and Indigenous differences in government service use prior to first episode diagnosis as a means of identifying points of intervention to improve institutional responses.

METHODS

We used a previously established national New Zealand cohort of 2385 13 to 25-year-old youth diagnosed with psychosis between 2009 and 2012 and a linked database of individual-level multiple government agency administration data, to investigate the differences in health, education, employment, child protection and criminal-justice service use between non-Indigenous (60%) and Indigenous youth (40%) in the year preceding first episode diagnosis. Further comparisons were made with the general population.

RESULTS

A high rate of health service contact did not differ between non-Indigenous and Indigenous youth (adjusted rate ratio 1.0, 95% confidence interval [0.9, 1.1]). Non-Indigenous youth had higher rates of educational enrolment (adjusted rate ratio 1.2, 95% confidence interval [1.1, 1.3]) and employment (adjusted rate ratio 1.2, 95% confidence interval [1.1, 1.3]) and were 40% less likely to have contact with child protection services (adjusted rate ratio 0.6, 95% confidence interval [0.5, 0.8]) and the criminal-justice system (adjusted rate ratio 0.6, 95% confidence interval [0.5, 0.7]). Both first episode cohorts had a higher risk of criminal justice contact compared to the general population, but the difference was greater for non-Indigenous youth (risk ratio 3.0, 95% confidence interval [2.7, 3.4] vs risk ratio 2.0, 95% confidence interval [1.8, 2.2]), explained by the lower background risk.

INTERPRETATION

The results indicate non-Indigenous privilege in multiple sectors prior to first episode diagnosis. Indigenous-based social disparities prior to first episode psychosis are likely to cause further inequities in recovery and will require a response of health, education, employment, justice and political systems.

Reducing the Duration of Untreated Psychosis (DUP) in a US Community: A Quasi-Experimental Trial

Objective

Duration of Untreated Psychosis (DUP) remains unacceptably long and limits effectiveness of care. To determine whether an early detection campaign ("Mindmap") can reduce DUP in a US community setting.

Methods

In this nonrandomized controlled trial, Mindmap targeted the catchment of one specialty first-episode service or FES (STEP, Greater New Haven) from 2015 to 2019, while usual detection efforts continued at a control FES (PREP, Greater Boston). Mindmap targeted diverse sources of delay through mass & social media messaging, professional outreach & detailing, and rapid enrollment of referrals. Both FES recruited 16-35 years old with psychosis onset ≤3 years. Outcome measures included DUP-Total (onset of psychosis to FES enrollment), DUP-Demand (onset of psychosis to first antipsychotic medication), and DUP-Supply (first antipsychotic medication to FES enrollment).

Results

171 subjects were recruited at STEP and 75 at PREP. Mindmap was associated with an increase in the number of referrals and in efficiency of engagement at STEP. Pre-campaign DUP (2014-2015) was equivalent, while Mindmap was associated with DUP reductions at STEP but not PREP. DUP-Total fell significantly in both the first and the second quartile (11.5 and 58.5 days reduction per campaign year, respectively). DUP-Demand and DUP-Supply fell in the third quartiles only (46.3 and 70.3 days reduction per campaign year, respectively). No reductions were detectable across all quartiles at PREP, but between site comparisons were not significant.

Conclusions

This is the first controlled demonstration of community DUP reduction in the US, and can inform future early detection efforts across diverse settings.

Could Expanding and Investing in First-Episode Psychosis Services Prevent Aggressive Behaviour and Violent Crime?

OBJECTIVE

Some persons developing, or presenting, schizophrenia engage in aggressive behaviour (AB) and/or criminal offending. Most of these individuals display AB prior to a first episode of psychosis (FEP). In fact, approximately one-third of FEP patients have a history of AB, some additionally display other antisocial behaviours (A+AB). The large majority of these individuals have presented conduct problems since childhood, benefit from clozapine, have extensive treatment needs, and are unlikely to comply with treatment. A smaller sub-group begin to engage in AB as illness onsets. A+AB persists, often for many years in spite of treatment-as-usual, until a victim is seriously harmed. This article proposes providing multi-component treatment programs at FEP in order to prevent aggressive and antisocial behaviours of persons with schizophrenia.

METHOD

Non-systematic reviews of epidemiological studies of AB among persons with schizophrenia, of the defining characteristics of sub-types of persons with schizophrenia who engage in AB and their responses to treatment, and of FEP service outcomes.

RESULTS

Studies have shown that mental health services that simultaneously target schizophrenia and aggressive behaviour are most effective both in reducing psychotic symptoms and aggressive behaviour. Evidence, although not abundant, suggests that a multi-component treatment program that would include the components recommended to treat schizophrenia and cognitive-behavioural interventions to reduce A+AB, and the other factors promoting A+AB such as substance misuse, victimisation, and poor recognition of emotions in the faces of others has the potential to effectively treat schizophrenia and reduce A+AB. Patients with a recent onset of AB would require few components of treatment, while those with prior conduct disorder would require all. Such a program of treatment would be long and intense.

CONCLUSIONS

Trials are needed to test the effectiveness of multi-component treatment programs targeting schizophrenia and A+AB at FEP. Studies are also necessary to determine whether providing such programs in hospitals and/or prisons, with long-term community after-care, and in some cases with court orders to participate in treatment, would enhance effectiveness. Whether investing at FEP would be cost-effective requires investigation.

First help-seeking attempt before and after psychosis onset: measures of delay and aversive pathways to care

PURPOSE

Delay in receiving effective treatment for psychosis adversely impacts outcomes. We investigated the timing of the first help-seeking attempt in individuals with recent onset non-affective psychosis by comparing those who sought help during the prodrome to those who sought help after psychosis onset across sociodemographic and clinical characteristics, overall functioning, and occurrence of aversive events during their pathways to care.

METHODS

Patients were admitted from February 1st, 2014 to January 31st, 2019 to the Program for Specialized Treatment Early in Psychosis (STEP) in New Haven, CT. Psychosis-onset date was ascertained using the Structured Interview for Psychosis-risk Syndromes. Key dates before and after psychosis onset, along with initiators and aversive events, were collected via semi-structured interview.

RESULTS

Within 168 individuals, 82% had their first help-seeking episode after psychosis onset and did not differ in terms of sociodemographic characteristics from prodrome help seekers. When the first help-seeking episode started before (i.e., during prodrome) vs after psychosis onset it was mostly initiated by patients vs family members (Cramer's V = 0.23, p = 0.031) and led to a faster prescription of an antipsychotic once full-blown psychosis emerged (time to antipsychotic since psychosis onset = 21 vs 56 days, p = 0.03). No difference in aversive events before STEP enrollment was detected across groups.

CONCLUSION

Help seeking during the prodrome is associated with faster initiation of antipsychotic treatment and is more likely to be self-initiated, compared to help seeking after psychosis onset. Early detection efforts that target prodromal samples may improve the length and experience of pathways to care.

Youth mental health in the time of COVID-19

Youth mental health is a rapidly developing field with a focus on prevention, early identification, treatment innovation and service development. In this perspective piece, we discuss the effects of COVID-19 on young people’s mental health. The psychosocial effects of COVID-19 disproportionately affect young people. Both immediate and longer-term factors through which young people are affected include social isolation, changes to the delivery of therapeutic services and almost complete loss of all structured occupations (school, work and training) within this population group. Longer-term mechanisms include the effects of the predicted recession on young people’s mental health. Opportunities within this crisis exist for service providers to scale up telehealth and digital services that may benefit service provision for young people’s mental health in the future.