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Background: In Australia, the first nationwide COVID-19 lockdown occurred in March 2020 bringing challenges for early intervention psychosis (EIP) services. Limited evidence exists on the impacts of the pandemic on treatment outcomes among EIP clients., Methods: This prospective cohort study analysed routine data from 15 headspace Early Psychosis centres in Australia. Participants were 12 to 25 years, meeting criteria for First Episode Psychosis (FEP) or Ultra High Risk of psychosis (UHR) comparing those who commenced treatment 'pre-COVID-19' (between 16th August 2018 and 15th August 2019), and 'during-COVID-19' (between 1st March 2020 and 15th September 2020). Clinical symptoms at treatment commencement were assessed using the Brief Psychiatric Rating Scale (BPRS) and the Kessler Psychological Distress Scale (K10). with outcomes after 6 months compared between cohorts using linear mixed-effects regression, controlling for confounders., Results: Of 1246 young people analysed (653 FEP, 596 UHR), significant improvements were observed with treatment in both groups (5 to 13-point reduction in BPRS score per 6-months treatment). Treatment effectiveness reduced during-COVID-19 for psychosis symptoms, with the FEP BPRS treatment effect lower by 4.3 points (95%CI: 0.5, 8.1). UHR clients had lower BPRS negative symptoms during-COVID-19 (p = 0.020). Service contacts increased during-COVID-19, with increased telehealth services (p < 0.001)., Conclusions: Early intervention remained effective for FEP and UHR, despite the pandemic and transition of EIP services to virtual service delivery. Reduced treatment efficacy in FEP psychosis symptoms may indicate potential limitations of telehealth. Further research to examine longer term clinical and functional outcomes due to the pandemic is required., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Aim: Young people with psychotic disorders have poorer physical health compared to their healthy peers, a state compounded by the metabolic side-effects of antipsychotic medications. To address this, Orygen Youth Health has introduced physical health services including exercise physiologists and dieticians. These services are typically coordinated by the case manager and doctor. It is not yet known whether a treating team member dedicated to physical health will improve engagement, adherence and outcomes with these services. Hence, the protocol is presented here for a trial to evaluate the effect of including a physical health nurse in the care of young people with first-episode psychosis., Methods: This will be a single-blind randomized controlled trial that includes 15- to 24-year-olds with first-episode psychosis who have just commenced (within 30 days) antipsychotic medication. The primary outcome will be the event of clinically significant weight gain (≥7% body weight). Participants will be assigned either a physical health nurse in their treating team (in addition to the case manager and doctor) for a 12-week period, or treatment as usual (case manager and doctor). Research assessments will be conducted at baseline, 12 and 26 weeks. Activity trackers worn by participants for the study's duration will measure sleep and physical activity., Conclusion: The present study will determine whether a physical health nurse will facilitate participants in attending and engaging in physical health interventions and whether this will be associated with physical health improvements or the prevention of worsening physical health., (© 2019 John Wiley & Sons Australia, Ltd.)

Background: A core component of treatment provided by early intervention for psychosis (EI) services is ensuring individuals remain successfully engaged with the service. This ensures they can receive the care they may need at this critical early stage of illness. Unfortunately, rates of disengagement are high in individuals with a first episode of psychosis (FEP), representing a major barrier to effective treatment. This study aimed to ascertain the rates and determinants of disengagement and subsequent re-engagement of young people with FEP in a well-established EI service in Melbourne, Australia., Method: This cohort study involved all young people, aged 15-24, who presented to the Early Psychosis Prevention and Intervention Centre (EPPIC) service with FEP between 1st January 2011 and 1st September 2014. Data were collected retrospectively from clinical files and electronic records. Cox regression analysis was used to identify determinants of disengagement and re-engagement., Results: A total of 707 young people presented with FEP during the study period, of which complete data were available for 700. Over half of the cohort (56.3%, N = 394) disengaged at least once during their treatment period, however, the majority of these individuals (85.5%, N = 337) subsequently re-engaged following the initial episode of disengagement. Of those who disengaged from the service, 54 never re-engaged, representing 7.6% of the total cohort. Not being in employment, education or training, not having a family history of psychosis in second degree relatives and using cannabis were found to be significant predictors of disengagement. No significant predictors of re-engagement were identified., Conclusion: In this study, the rate of disengagement in young people with first-episode psychosis was higher than found previously. Encouragingly, rates of re-engagement were also high. The concept of disengagement from services might be more complex than previously thought with individuals disengaging and re-engaging a number of times during their episode of care. What prompts individuals to re-engage with services needs to be better understood.

Introduction: Individuals who experience a first episode of psychosis require early intervention and regular follow-up in order to improve their prognosis and avoid long-term negative outcomes. However, approximately 30% of individuals accessing support will end up disengaging from early intervention (EI) services. Although we know that individual factors can impact rates of disengagement, less is known about potential service and community level factors., Methods: Data were gathered from a cohort of individuals attending a specialist youth mental health service in Melbourne, Australia between 1st January 2011 and 7th September 2014. Data were collected from clinical files and electronic medical records using a standardised audit instrument. Cox regression analysis was used to identify whether community level factors were predictors of disengagement., Results: Data were available for 707 young people experiencing a first episode of psychosis. Individuals residing in neighbourhoods of higher social deprivation were at a higher relative risk of disengaging, with 4.7% increase in engagement for each increase in decile of deprivation. The introduction of a new clinic was not significantly associated with a difference in the proportion of individuals disengaging from the service and distance to service was not significantly associated with disengagement rates., Discussion: Developing strategies focused on engaging young people with first episode psychosis who reside in more deprived areas may address the higher rates of disengagement these individuals experience. These finding suggest that location may not be a barrier to engagement, however services should be resourced in-line with the population demographic in their specific location., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objectives: Psychotic disorder incidence varies geographically and is associated with neighbourhood characteristics, including social deprivation, population density, unemployment, social capital or social fragmentation. Yet it is not known whether these findings are applicable to Australia's unique geography. This study aimed to determine whether the incidence of first episode psychosis (FEP) varies according to neighbourhood characteristics in an Australian cohort., Method: This study included all young people, aged 15 to 24, with an FEP who attended Orygen Youth Health in Melbourne, from a geographically defined catchment area encompassing Northern and Western Melbourne, over a 44-month period. Neighbourhood demographic data was collected from the 2011 Australian National Census. Negative binomial regression was used to determine incidence rate ratios controlled for age, sex and migrant status., Results: A total of 747 young people had an FEP during the 44-month study period and 722 were included in this study. Of these, 58.0% were males and 67.9% had a non-affective psychotic disorder; the mean age of the cohort was 19.1 years. The incidence of FEP in young people aged 15 to 24 in the catchment area was 123.2 per 100,000 person-years. There was a higher incidence of FEP in neighbourhoods of greatest social deprivation (IRR = 1.65, CI = 1.06-2.51, p = .02), highest unemployment (IRR = 1.56, CI = 1.04-2.35, p = .03) and above average social fragmentation (IRR = 1.42, CI = 1.02-1.97, p = .04), when controlled for age, sex and migrant status., Conclusions: This study highlights variation in psychotic disorder incidence and the need for this disparity to be reflected in appropriate resource allocation., (Copyright © 2019. Published by Elsevier B.V.)

Aim: Early intervention (EI) services for psychosis aim to reduce the duration of untreated psychosis (DUP) with intensive large-scale multi-focus initiatives, including public awareness campaigns. As a consequence of this approach, individuals with a very long DUP who might have otherwise remained undiagnosed may come to medical attention. The aim of this study was to investigate if an EI service detected additional cases of individuals with a first-episode psychosis (FEP) with a very long DUP and identify demographic and clinical characteristics associated with a very long DUP., Methods: We compared the distribution of the DUP in cases with FEP in a cohort from an EI service in a geographically defined catchment area with a historical control group. Participants were interviewed using the Structured Clinical Interview for DSM IV (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition) diagnoses and the Beiser scale to determine the DUP., Results: A total of 172 individuals were included in the EI service and 151 were included from the historical control. There was no difference in the distribution of the DUP in the EI service compared with the historical control group (χ(2)  = 3.77, degrees of freedom (d.f.) = 3, P = 0.29). In the EI service, 7.6% of cases had a DUP between 24 and 35.9 months compared to 3.3% in the historical control, and 13.4% of cases in the EI service had a DUP of greater than three years compared to 10.6% in the historical control. A very long DUP was associated with unemployment, less insight and involuntary treatment., Conclusion: Further examination of the pathways to care in cases with a long DUP may clarify the contribution of help-seeking and health system delays for these individuals., (© 2013 Wiley Publishing Asia Pty Ltd.)

Aim: Despite there being approximately 200 early intervention services for psychosis worldwide, little is known about the referral rates to these services, the diagnoses and needs of individuals found not to have a first episode of psychosis (FEP). Firstly, we aimed to describe the diagnoses for individuals who were found not to have a FEP (non-cases) following an assessment using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders IV (SCID). We then aimed to examine the referral rates of cases and non-cases to an early intervention service., Methods: All individuals referred to the early intervention service underwent a clinical assessment using the SCID., Results: In a 4-year period, there were 632 referrals to the early intervention service for psychosis, and of these, 53% (n = 338) were found to have a FEP, 5% (n = 34) were found to have an at-risk mental state for psychosis and 41% (n = 260) were found to be 'non-cases'. This represents a ratio of 1.9:1 of referrals to cases, or approximately 2:1. Of the non-cases, 27% (n = 62) satisfied criteria for a mood disorder, with major depressive disorder the commonest diagnosis. A further 18% (n = 42) of non-cases satisfied criteria for an anxiety disorder and nearly half of these were diagnosed with social phobia. The ratio of referrals to cases was not consistent over time and rose from 1.3:1 in the first year to 2:1 in the fourth year., Conclusion: A large proportion of individuals referred to an early intervention for psychosis service were found not to have psychotic disorder, however they still have significant needs regarding their mental health., (© 2012 Blackwell Publishing Asia Pty Ltd.)

Objective: Early intervention for psychosis services result in superior outcomes in the domains of symptomatic and functional recovery, hospitalisation and employment compared to standard services; however, the optimal duration of care with these services is unknown. Knowledge on the discharge destinations, specifically the proportion discharged to high- and low-intensity services, could provide insights into the proportion of who may require a longer tenure of care. This study aimed to determine (1) the discharge destinations from early intervention for psychosis services and (2) baseline and intra-episode factors associated with discharge to the secondary care/adult mental health service. Methodology: This study was conducted at the Early Psychosis Prevention and Intervention Centre in Melbourne and included all young people treated by the service with a first episode of psychosis over a 6-year period. Discharge destinations were categorised according to high-intensity services, namely, secondary mental health care, or lower intensity services, such as private practitioners or primary care. Results: A total of 1101 young people with a first episode of psychosis were included in the study, of whom 58.8% were male and the median age was 20.0 years (interquartile range: 17–22). After a median of 95.4 weeks (interquartile range: 66.7–105.7), 36.6% were discharged to the adult mental health services, which was associated with being not in employment, education or training at presentation (odds ratio = 1.71, 95% confidence interval [1.23, 2.37]); experiencing a relapse (odds ratio = 1.76, 95% confidence interval [1.24, 2.49]); and being admitted to a mental health unit (odds ratio = 3.98, 95% confidence interval [2.61, 6.09]). Young people who lived with their parents were less likely to be discharged to secondary care services (odds ratio = 0.52, 95% confidence interval [0.37, 0.73]), as were those who were achieving symptomatic remission within 12 weeks (odds ratio = 0.60, 95% confidence interval [0.43, 0.83]). Migrant status and the duration of untreated psychosis were not associated with discharge destination. Conclusion: These findings indicate that there is a sizable, identifiable minority who may benefit from a longer episode of care with early intervention for psychosis services. [ABSTRACT FROM AUTHOR]

Background: There is a higher incidence of psychotic disorders in neighbourhoods of greater social deprivation. However, it is not known whether this represents a causal relationship, as the stage at which social deprivation exerts its influence on the development of psychotic disorders is yet to be elucidated. We aimed to investigate the association between neighbourhood-level social deprivation and the rate of identification of individuals at Ultra-High Risk for psychosis (UHR), as well as the risk of transition to psychosis in UHR individuals. Methods: The cohort included all young people aged 15 to 24 identified as UHR attending an Early Intervention clinic in northwestern Melbourne over a 5-year period (2012–2016). Australian census data were used to obtain the at-risk population and social deprivation information according to the postcode of residence. Levels of social deprivation were arranged into quartiles. Poisson regression was used to calculate rate ratios and Cox regression analysis determined hazard ratios. Results: Of the 461 young people identified as UHR, 11.1% (n = 49) lived in the most affluent neighbourhoods (Quartile 1) compared to 36.7% (n = 162) in the most deprived neighbourhoods (Quartile 4). There was a 35% higher rate of identification of young people who were UHR from the most deprived neighbourhoods (aIRR = 1.35, 95% CI [0.98, 1.86]). Over a median follow-up of approximately 10 months (308 days (IQR: 188–557), 17.5% (n = 77) were known to have transitioned to a full-threshold psychotic disorder. Residing in a neighbourhood of above average deprivation had a hazard ratio of 2.05 (95% CI [0.88, 4.80]) for risk of transition, when controlling for age, sex and substance use. Conclusions: These findings provide more support that EI services should be funded as per the expected incidence of psychotic disorders. [ABSTRACT FROM AUTHOR]

Background: Migration is an established risk factor for developing a psychotic disorder in countries with a long history of migration. Less is known for countries with only a recent history of migration. This study aimed to determine the risk for developing a psychotic disorder in migrants to the Republic of Ireland. Methods: We included all presentations of first-episode psychosis over 8.5 years to the DETECT Early Intervention for psychosis service in the Republic of Ireland (573 individuals aged 18–65, of whom 22% were first-generation migrants). Psychotic disorder diagnosis relied on SCID. The at-risk population was calculated using census data, and negative binomial regression was used to estimate incidence rate ratios. Results: The annual crude incidence rate for a first-episode psychotic disorder in the total cohort was 25.62 per 100000 population at risk. Migrants from Africa had a nearly twofold increased risk for developing a psychotic disorder compared to those born in the Republic of Ireland (IRR = 1.83, 95% CI 1.11–3.02, p = 0.02). In contrast, migrants from certain Asian countries had a reduced risk, specifically those from China, India, Philippines, Pakistan, Malaysia, Bangladesh and Hong Kong (aIRR = 0.36, 95% CI 0.16–0.81, p = 0.01). Conclusions: Further research into the reasons for this inflated risk in specific migrant groups could produce insights into the aetiology of psychotic disorders. This information should also be used, alongside other data on environmental risk factors that can be determined from census data, to predict the incidence of psychotic disorders and thereby resource services appropriately. [ABSTRACT FROM AUTHOR]

Background: Clinical and functional recovery is usually achieved after treatment for a first episode of psychosis (FEP). Unfortunately, subsequent relapse remains common, occurring within a year for approximately 30% of individuals and up to 80% over 5 years. Factors that make relapse more likely in any given individual remain poorly understood. Methods: This article presents a naturalistic cohort study of young people (15-24 years old) accessing an early intervention in psychosis service in Melbourne, Australia between January 1, 2011 and December 31, 2016. Demographic and clinical predictors of relapse were collected and analyzed using Cox regression analysis. Results: A total of 1220 young people presented with an FEP during the study period; 37.7% (N = 460) experienced at least 1 relapse during their episode of care. Over half of all relapses resulted in an admission to hospital. Non-adherence to medication, substance use, and psychosocial stressors were commonly noted as clinical precipitants of relapse. Significant predictors of relapse (vs no relapse) were a diagnosis of schizophrenia spectrum disorder (adjusted hazard ratio [aHR] = 1.62) or affective psychotic disorder (aHR = 1.37), lifetime amphetamine use (aHR = 1.48), and any substance use during treatment (aHR = 1.63). Conclusion: These findings suggest that relapse occurs frequently for young people who have experienced FEP. This is one of the first studies to report that amphetamine use (predominantly illicit methamphetamine) increases the risk of relapse. Clinical services, especially in Australasia, need to consider how best to manage this comorbidity in young people with FEP. [ABSTRACT FROM AUTHOR]

Background: Clinical and functional recovery is usually achieved after treatment for a first episode of psychosis (FEP). Unfortunately, subsequent relapse remains common, occurring within a year for approximately 30% of individuals and within five years for 80%. What makes someone more likely to relapse remains poorly understood. Methods: This study is a naturalistic cohort study of young people (15–25 years old) accessing an early intervention in psychosis service in Melbourne, Australia between 1st January 2011 and 31st December 2016. Demographic and clinical predictors of relapse were collected from patient records and analysed using Cox regression analysis. Results: A total of 1220 young people presented with a FEP during the study period and 37.7% (N=460) experienced at least one relapse during their episode of care. Over half of all relapses resulted in an admission to hospital. Non-adherence to medication, substance use and psychosocial stressors precipitated relapses. Significant predictors of relapse in this sample were a diagnosis of a schizophrenia spectrum disorder or an affective psychotic disorder, amphetamine use, and substance use during treatment. Discussion: These findings suggest that relapse occurs frequently for young people who have experienced FEP. This is one of the first studies to find that amphetamine use increases the risk of relapse. Clinical services, especially in Australasia, need to consider how best to manage this co-morbidity in young people with FEP. [ABSTRACT FROM AUTHOR]

The article focuses on multicomponent systems of care for first-episode psychosis produce significantly. It mentions outcomes include reduced treatment discontinuation, reduced symptoms, increased global functioning, reduced hospitalization risk, shorter hospital lengths of stay, improved involvement in school and work, and better quality of life. It also mentions early intervention use for treatment of major physical noncommunicable diseases (NCDs).