Emotion Processing and Its Relationship to Social Functioning and Symptoms in Psychotic Disorder: A Systematic Review and Meta-analysis.

BACKGROUND: Emotion processing (EP) is impaired in individuals with psychosis and associated with social functioning; however, it is unclear how symptoms fit into this relationship. The aim of this systematic review and meta-analysis was to examine interrelationships between EP, symptoms, and social functioning, test whether different symptom domains mediate the relationship between EP and social functioning, and examine the moderating effects of illness stage and EP task type. STUDY DESIGN: MEDLINE, Embase, and PsycINFO databases were searched for studies that included individuals with psychosis and reported correlations between EP, symptom domains (positive, negative, depressive, and disorganization), and social functioning. Random effects meta-analyses determined the strength of correlations, and subgroup analyses included illness stage and EP task type (lower- vs higher-level processing). Meta-analytic structural equation models tested whether symptom domains mediated the relationship between EP and social functioning. RESULTS: There was a small relationship (r = .18) between EP and social functioning. Positive, negative, and disorganization symptoms mediated this relationship, although indirect effects were small. Higher-level EP tasks were more strongly associated with negative symptoms than lower-level tasks. Relationships between EP and both social functioning and positive symptoms were smaller in the first episode of psychosis than in established illness. CONCLUSIONS: The mediating relationship suggests that EP not only influences social dysfunction directly but contributes to negative and disorganization symptoms, which in turn impair social functioning. This pathway suggests that targeting negative and disorganization symptoms may ultimately improve social outcomes for individuals with psychosis. Future research, particularly in early psychosis, is needed to determine other factors impacting these interrelationships.

The changing impacts of social determinants on youth mental health in Australia.

AIMS: Most lifetime mental health disorders begin by age 25 years, and the prevalence among young people has been increasing over recent years. We sought to understand what impact, if any, social determinants have had on this increase through the analysis of an Australian longitudinal dataset (with data from 2007 to 2021). METHODS: The analysis focused on five social determinants: loneliness and lack of social support, family relationships, participation in education and employment, receipt of government benefits and relative socio-economic status. We analysed cross-sectional changes in self-reported psychological distress between 2007 and 2021 (using the Kessler-10 item; K10 scores) and examined the effects of these five social determinants on psychological distress using weighted linear regression models. RESULTS: We identified a significant increase in psychological distress among Australians from 2007 to 2021, with the sharpest rise among those aged 15 to 25 years, who saw more than doubling in the percentage of high and very high K10. This period also saw an increase in the prevalence of social determinants such as loneliness and lack of social support, as well as poor family relationships, particularly in 2021 post COVID-19 pandemic. Regression models suggest loneliness and lack of social support had the most pronounced and increasing impact on psychological distress, followed by poor family relationships. DISCUSSION: The observed significant and steady increases in psychological distress and related social determinant factors, particularly loneliness and lack of social support among young people, highlight the urgent need for comprehensive actions. Coordinated research and community-based initiatives are needed to deliver intrapersonal, interpersonal and socially-focused interventions with a holistic approach to support psychosocial wellbeing. Policymakers must adopt a comprehensive shift in political commitment and a whole-of-government approach to address these challenges.

Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach.

AIMS: The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings. METHODS: This retrospective study involved analysis of headspace's clinical minimum data set from young people accessing services in Australia between 1 July 2018 and 30 June 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors. RESULTS: A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a 'high complexity' group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing 'distress complexity' and 'psychosocial complexity' (about 20% each). Compared with the 'distress complexity' group, young people in the 'psychosocial complexity' group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services. CONCLUSIONS: The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental healthcare to ensure the availability of appropriate and timely support for all young people.

Changes in Rates of Special Considerations in Higher Education Applications Pre- and During the COVID-19 Pandemic in Victoria, Australia.

BACKGROUND AND AIMS: Since the onset of the COVID-19 pandemic, a significant rise in mental ill health has been observed globally in young people, particularly those in their final years of secondary school. Students' negative experiences coincide with a critical transitional period which can disrupt milestones in social and educational development. This study aimed to use innovative population-level data to map the impact of the pandemic on students entering higher education. METHODS: Pre-pandemic (2019/2020) and pandemic (2020/2021) tertiary education application data were obtained from the Victorian Tertiary Admissions Centre. Prevalence of applications for special consideration related to mental ill health were compared between cohorts across various geographical areas and applicant demographic subgroups. Relative risk regression models were used to understand the role of different risk factors. RESULTS: Rates of mental health-related special consideration applications increased by 38% among all applications (pre-pandemic: 7.8%, n = 56 916; pandemic: 10.8%, n = 58 260). Highest increases were observed among students in areas with both extended and close-quarter lockdown experiences, and areas impacted by 2019/2020 black summer bushfires. The increases were higher among Year 12 students and students with other special consideration needs (e.g., physical condition, learning disability). Slightly higher increases were observed in areas with higher socio-economic status, which may potentially be related to inequality in mental health service access. CONCLUSION: As consequences of mental health difficulties and academic disruption in youth can be long lasting, it is critical to establish a mental health support framework both in and outside of higher education to facilitate young people's recovery from the pandemic.

Vocational functioning in young people accessing services for first-episode psychosis and ultra-high risk of psychosis: A longitudinal naturalistic cohort study.

AIMS: Young people with first-episode psychosis (FEP) or at ultra-high risk (UHR) of psychosis often have lower vocational engagement than their peers. This study examines the effect of treatment in early intervention for psychosis services in Australia on engagement in education and employment. METHODS: This is a naturalistic sample of young people aged 12-25 with FEP (n = 1574) and UHR (n = 1515), accessing treatment in the headspace Early Psychosis (hEP) programme. Engagement in education and employment was assessed at baseline and every 90 days in treatment. Mixed effects logistic regression were used to analyse changes over time. RESULTS: On entering the hEP programme, approximately 49% of the young people with FEP and 28% of the young people at UHR status identified as Not in Education, Employment or Training (NEET). The odds of being NEET were reduced by 27% (95% confidence interval = [14, 39]) for every 6 months treatment for the FEP group, but no change in NEET status was observed in the UHR group. In both groups, absence from daily activities was significantly reduced during time in treatment. CONCLUSION: While there are methodological challenges analysing real-world non-control group cohort data, the findings indicate positive effects of the hEP programme on vocational and daily activity engagement for young people with FEP and at UHR status. A large proportion of the young people still identified as NEET after receiving treatment services, suggesting further refinement to ensure targeted and consistent vocational support throughout care.

Inequitable access to mental healthcare for socially excluded adolescents.

BACKGROUND: Adolescence is a critical period for mental health and social exclusion, a key social determinant of mental health. Early intervention approaches are key to mitigating the impact of mental ill-health during adolescence, however social exclusion can create additional barriers to accessing care. AIM: We aimed to better understand help-seeking experiences of adolescents facing co-occurring social exclusion and mental ill-health, including sources of support, barriers and preferences for service provision. METHOD: Cross-sectional data were analysed, from the 2022 Mission Australia Youth Survey (N = 18,800). Adolescents aged 15 to 19 years were recruited from around Australia, through schools, community organisations and digital platforms. Indices of four domains of social exclusion (housing, finances, relational and education/employment) were created using existing Youth Survey variables, and supplemented with demographic characteristics, psychological distress and help-seeking behaviours (perceived need, mental health supports, barriers to access and preferences). Relationships between social exclusion domains, mental health concerns and help-seeking behaviours were explored using logistic regression models. RESULTS: A total of 9,743 young people reported having needed mental health support, yet only 58.1% reportedly sought support (n = 5,565). Social exclusion domains were associated with different help-seeking behaviours: housing challenges with higher help-seeking (OR = 1.28; 95% CI [1.15, 1.42]); relational difficulties and edu-employment issues with lower (OR = 0.75; 95% CI [0.68, 0.83] and OR = 0.82; 95% CI [0.75, 0.89]). Stigma, confidentiality concerns, cost and not knowing where to seek help were common barriers to help-seeking; those experiencing social exclusion more likely to report these. Participants reported a strong preference for face-to-face support. CONCLUSIONS: This study highlights the additional needs and challenges faced by adolescents dealing with both social exclusion and mental ill-health. With greater barriers to help-seeking, concerted efforts are needed to reduce stigma, improve mental health literacy and increase access to trusted information sources. Further initiatives should focus on structural factors that socially exclude young people and exacerbate inequitable access to mental healthcare.

Early Maladaptive Schemas and Depression in Caregivers of Individuals With Schizophrenia Spectrum and Bipolar Disorders.

OBJECTIVES: Early maladaptive schemas represent unhelpful frameworks of cognitions, emotions and subsequent behavioural responses and can be associated with depressive symptoms. Caregivers of individuals with serious mental illness (SMI) frequently report experiencing depressive symptoms. It is unclear whether depressive symptoms in caregivers are influenced by schemas. We aimed to compare activated schemas in caregivers of people with schizophrenia spectrum (SSD) and bipolar disorder (BD) diagnoses and to determine whether they were differentially related to depressive symptoms. DESIGN AND METHODS: Caregivers completed validated measures of depression and schemas. Independent samples t-tests and multivariate generalised linear models were used to assess differences in schemas and depressive symptoms between caregiver groups. Interrelationships between schema domains and caregiver depressive symptoms were delineated using correlational analyses and forward stepwise regressions. RESULTS: One hundred eight caregivers participated in the study (SSD n = 68, BD n = 40). No differences in depressive symptom severity or activated schemas were observed between caregiver groups. All schemas were significantly associated with depressive symptoms, and the Disconnection-Rejection schema domain explained the most variance in depressive symptoms in both caregiver groups. CONCLUSIONS: Schemas contribute to the severity of caregiver depression regardless of whether the person receiving care is diagnosed with SSD or BD. Schema therapeutic frameworks may be beneficial for use with caregivers to address schemas within the Disconnection-Rejection domain and alleviate depressive symptoms by reducing experiences of social isolation and alienation.

A Prototype Software Framework for Transferable Computational Health Economic Models and Its Early Application in Youth Mental Health.

We are developing an economic model to explore multiple topics in Australian youth mental health policy. To help make that model more readily transferable to other jurisdictions, we developed a software framework for authoring modular computational health economic models (CHEMs) (the software files that implement health economic models). We specified framework user requirements for: a simple programming syntax; a template CHEM module; tools for authoring new CHEM modules; search tools for finding existing CHEM modules; tools for supplying CHEM modules with data; reproducible analysis and reporting tools; and tools to help maintain a CHEM project website. We implemented the framework as six development version code libraries in the programming language R that integrate with online services for software development and research data archiving. We used the framework to author five development version R libraries of CHEM modules focussed on utility mapping in youth mental health. These modules provide tools for variable validation, dataset description, multi-attribute instrument scoring, construction of mapping models, reporting of mapping studies and making out of sample predictions. We assessed these CHEM module libraries as mostly meeting transparency, reusability and updatability criteria that we have previously developed, but requiring more detailed documentation and unit testing of individual modules. Our software framework has potential value as a prototype for future tools to support the development of transferable CHEMs.Code: Visit https://www.ready4-dev.com for more information about how to find, install and apply the prototype software framework.

Guidance on Minimum Standards for Canine-Assisted Psychotherapy in Adolescent Mental Health: Delphi Expert Consensus on Health, Safety, and Canine Welfare.

As interest in animal-assisted therapy (AAT) and canine-assisted psychotherapy (CAP) grows, there are increasing calls for the management of related health, safety, and welfare concerns for canines, providers, and clients. Existing health and safety guidelines lack empirical support and are, at times, contradictory. Welfare is increasingly prioritized; however, tools to monitor and manage welfare are underutilized and under-reported. The aim of this study was to provide expert consensus on the minimum health, safety, and welfare standards required to develop and deliver a CAP group program to adolescents experiencing common mental health disorders. Diverse AAT experts were recruited globally. Using Delphi methodology, over two rounds, 40 panelists reached a consensus agreement to include 32 items from a possible 49 into the minimum standards. Health and safety measures included risk assessment, veterinary screening, preventative medicine, training in infection control, and first aid. Welfare measures included training in welfare assessment, documentation of welfare, and flexible, individualized responses to promote wellbeing. Intestinal screening for parasites and the prohibition of raw food were not supported. Flexible and individualized assessment and management of canine welfare were supported over fixed and time-limited work schedules. Clinical practice implications are discussed, and recommendations are made.

Social disadvantage in early psychosis and its effect on clinical presentation and service access, engagement and use.

Incidence of psychosis varies geographically due to factors such as social disadvantage. Whether this influences the clinical presentation and/or engagement of those experiencing psychosis remains relatively understudied. This study analysed data from young people across Australia accessing ultra-high risk (UHR) or first episode psychosis (FEP) services delivered through the headspace Early Psychosis (hEP) program between June 2017 and March 2021. The cohort was categorised into low, middle, and high tertiles of social disadvantage using the Index of Relative Socioeconomic Disadvantage (IRSD). Data from 3089 participants aged 15-25 were included (1515 UHR, 1574 FEP). The low and middle tertiles for both cohorts had greater percentages of those not in education or employment (NEET), with First Nations or culturally and linguistically diverse backgrounds. Clinical presentations to services were similar across all tertiles in both cohorts, however, functioning at presentation varied significantly within the FEP cohort. Significantly lower numbers of direct services were provided in the low tertile of both cohorts, with significantly poorer engagement in the initial three-months also occurring for these young people. This variation in early psychosis service patterns associated with geographical variation in social deprivation demonstrates the need for further research and fine tuning of national early psychosis services.

Distress, burden, and wellbeing in siblings of people with mental illness: a mixed studies systematic review and meta-analysis.

BACKGROUND: Family members of people with mental illness (MI) may experience a host of psychological adversities such as increased stress, burden, and reduced wellbeing. However, relatively little is known about siblings. This study aimed to characterise the experience of distress (viz. depressive and anxiety symptoms), burden, and wellbeing in siblings of people with MI. METHODS: Studies reporting on quantitative measures of depression, anxiety, burden, or wellbeing in siblings; and/or qualitative findings on siblings' experience were eligible. The literature search was conducted up until 20th October 2022. RESULTS: Sixty-two studies comprising data from 3744 siblings were included. The pooled mean percentage of depressive symptoms fell in the mild range at 15.71 (k = 28, N = 2187, 95% CI 12.99-18.43) and anxiety symptoms fell in the minimal range at 22.45 (k = 16, N = 1122, 95% CI 17.09-27.80). Moderator analyses indicate that siblings of people with a schizophrenia spectrum disorder experience greater depressive symptoms than siblings of people with other types of MI (ß = -16.38, p < 0.001). Qualitative findings suggest that individuals may be particularly vulnerable during their siblings' illness onset and times of relapse. Limited communication, confusion about MI, and the need to compensate may contribute to siblings' distress and/or burden. Siblings' experience of wellbeing and caregiving were closely related. CONCLUSION: This review highlights the complex psychological experience of siblings and the need for greater research and clinical support for this important yet often overlooked cohort.

An overview of clustering methods with guidelines for application in mental health research.

Cluster analyzes have been widely used in mental health research to decompose inter-individual heterogeneity by identifying more homogeneous subgroups of individuals. However, despite advances in new algorithms and increasing popularity, there is little guidance on model choice, analytical framework and reporting requirements. In this paper, we aimed to address this gap by introducing the philosophy, design, advantages/disadvantages and implementation of major algorithms that are particularly relevant in mental health research. Extensions of basic models, such as kernel methods, deep learning, semi-supervised clustering, and clustering ensembles are subsequently introduced. How to choose algorithms to address common issues as well as methods for pre-clustering data processing, clustering evaluation and validation are then discussed. Importantly, we also provide general guidance on clustering workflow and reporting requirements. To facilitate the implementation of different algorithms, we provide information on R functions and libraries.

Accelerating youth mental health services research.

OBJECTIVE: We describe a research program to advance youth mental health service research in Australia, addressing two core knowledge gaps: the lack of available routine outcome measures and lack of understanding of how to assess and monitor complexity and heterogeneity in illness presentation and trajectory. CONCLUSIONS: Our research identifies better routine outcome measures (ROM) that are: designed specifically for the developmental nuances of the 12-25-year age range; multidimensional; and meaningful to young people, their carers, and service providers. Alongside much-needed new measures of complexity and heterogeneity, these tools will inform service providers to better meet the needs of young people presenting with mental health problems.

Understanding the complexity, patterns, and correlates of alcohol and other substance use among young people seeking help for mental ill-health.

PURPOSE: Use of alcohol and other substances is a multifaceted issue impacting young people across multiple life domains. This paper aims to elucidate patterns of substance use and associated demographic and clinical factors among young people seeking treatment for their mental health. METHODS: Young people (12-25 years old) were recruited from five youth-specific primary mental health ("headspace") services in Australia. Self-reported substance use and harms in the past 3 months were measured using WHO-ASSIST. Network analyses were conducted to evaluate interrelationships between use and harms associated with different substances. Subgroups were then identified based on whether participants reported using high centrality substances, and associated demographic and clinical factors were assessed with multinomial logistic regression. RESULTS: 1107 youth participated. 70% reported use of at least one substance in the past 3 months, with around 30% of those reporting related health, social, legal or financial problems. Network analysis highlighted substantial interconnections between use and harm indicators for all substances, with amphetamine-type stimulants (ATS) and cannabis being high central substances. Higher levels of substance use and harms were reported in subgroups with ATS or cannabis use and different risk factors were associated with these subgroups. CONCLUSIONS: Findings highlight the importance of screening for substance use in youth primary mental healthcare settings, offering a key opportunity for early intervention. Clinicians should be aware of the inner connections of use and harms of different drugs and the role of cannabis and amphetamine use as a marker for more substance use profiles.

Prevalence and Correlates of Tobacco Use in Young People Presenting to Australian Primary Mental Health Services.

INTRODUCTION: In Australian youth primary mental health settings it is unclear as to the rates and correlates of tobacco use at service entry. AIMS AND METHODS: We aimed to delineate the prevalence and correlates of recent tobacco use (eg, cigarettes, chewing tobacco, cigars, etc) in the past 3 months in young people at their first presentation to primary mental health services as a function of age. Cross-sectional self-report measures were collected using a tablet device from young people presenting to one of five Australian primary mental health (headspace) services. Logistic regression assessed correlates of past 3-month tobacco use in adolescents (12-17 years) and young adults (18-25 years). RESULTS: Regular (at least monthly) tobacco use in the past 3 months was found in 23.4% (n = 247, N = 1055) of the sample. Increasing age (odds ratio [OR] =1.47 per year; 95% confidence interval [CI]: 1.15 to 1.89), male sex (OR = 1.98; 95% CI: 1.02 to 3.83), being in a relationship (OR = 1.96; 95% CI: 1.01 to 3.82), and poorer functioning (OR = 0.95 per unit Social and Occupational Functioning Assessment Scale increase; 95% CI: 0.91 to 0.99) predicted regular tobacco use in adolescents, but not in young adults. Living in a regional location (OR = 2.10; 95% CI: 1.40 to 3.13) and not studying (OR = 0.47; 95% CI: 0.31 to 0.73) predicted tobacco use in young adults. Having a diagnosed mental illness other than depression and/or anxiety predicted tobacco use in both groups (adolescents OR = 2.49; 95% CI: 1.26 to 4.94; young adults OR = 1.80; 95% CI: 1.13 to 2.89). CONCLUSIONS: Nearly a quarter of young people with mental illness are using tobacco, supporting the need for early intervention approaches. Adapting treatment targets by age could improve the impact of interventions in adolescents versus young adults. Poor functioning and lack of engagement in education were associated with tobacco use in both age groups, respectively; however, more research is needed to determine the direction of these relationships. IMPLICATIONS: Young people with mental illness have a high prevalence of recent tobacco use and this is evident when they first present to youth primary mental health services. Youth-oriented mental health settings may provide a unique window for tobacco use prevention and early intervention to reduce smoking in people with mental illness, a priority population. Age-specific targeted approaches might be needed in adolescents and young adults.

Psychological distress in siblings of people with mental illness: A systematic review and meta-analysis.

OBJECTIVE: The objective of this study was to characterise the prevalence and/or severity of psychological distress (namely, depression and anxiety symptoms) in siblings of people with mental illness (MI) and to examine correlates of distress in siblings of people with MI. METHOD: Studies comparing distress in individuals with and without a sibling with MI were eligible. Studies reporting on correlates of distress in siblings were also eligible. A search of MEDLINE Complete, PsycINFO and Embase was conducted up until 17 March 2022. RESULTS: Fifteen studies comprising 2304 siblings and 2263 comparison individuals were included. Meta-analyses indicated individuals with a sibling with MI experience significantly greater depressive symptoms (Hedges's g = 0.53, 95% CI = [0.32, 0.73], siblings n = 1962, comparison individuals n = 2248) and anxiety symptoms (Hedges's g = 0.40, 95% CI = [0.19, 0.61], siblings n = 653, comparison individuals n = 533) than those without. The sibling relationship, siblings' locus of control, interpersonal functioning and their appraisal of the impacts of MI were identified as important and potentially modifiable correlates. CONCLUSION: Individuals with a sibling with MI experience greater depressive and anxiety symptoms than those without and would likely benefit from support. Future studies are required to elucidate the mechanisms underlying distress in siblings.

Inequalities in Access to Mental Health Treatment by Australian Youths During the COVID-19 Pandemic.

OBJECTIVE: The authors aimed to evaluate changes in use of government-subsidized primary mental health services, through the Medicare Benefits Schedule (MBS), by young people during the first year of the COVID-19 pandemic in Australia and whether changes were associated with age, sex, socioeconomic status, and residence in particular geographical areas. METHODS: Interrupted time-series analyses were conducted by using quarterly mental health MBS service data (all young people ages 12-25 years, 2015-2020) for individual Statistical Area Level 3 areas across Australia. The data captured >22.4 million service records. Meta-analysis and meta-regression models estimated the pandemic interruption effect at the national level and delineated factors influencing these estimates. RESULTS: Compared with expected prepandemic trends, a 6.2% (95% CI=5.3%-7.2%) increase was noted for all young people in use of MBS mental health services in 2020. Substantial differences were found between age and sex subgroups, with a higher increase among females and young people ages 18-25. A decreasing trend was observed for males ages 18-25 (3.5% reduction, 95% CI=2.5%-4.5%). The interruption effect was strongly associated with socioeconomic status. Service uptake increased in areas of high socioeconomic status, with smaller or limited uptake in areas of low socioeconomic status. CONCLUSIONS: During 2020, young people's use of primary mental health services increased overall. However, increases were inequitably distributed and relatively low, compared with increases in population-level mental health burden. Policy makers should address barriers to primary care access for young people, particularly for young males and those from socioeconomically disadvantaged backgrounds.

'More than just numbers on a page?' A qualitative exploration of the use of data collection and feedback in youth mental health services.

OBJECTIVES: This study aimed to explore current data collection and feedback practice, in the form of monitoring and evaluation, among youth mental health (YMH) services and healthcare commissioners; and to identify barriers and enablers to this practice. DESIGN: Qualitative semi-structured interviews were conducted via Zoom videoconferencing software. Data collection and analysis were informed by the Theoretical Domains Framework (TDF). Data were deductively coded to the 14 domains of the TDF and inductively coded to generate belief statements. SETTING: Healthcare commissioning organisations and YMH services in Australia. PARTICIPANTS: Twenty staff from healthcare commissioning organisations and twenty staff from YMH services. RESULTS: The umbrella behaviour 'monitoring and evaluation' (ME) can be sub-divided into 10 specific sub-behaviours (e.g. planning and preparing, providing technical assistance, reviewing and interpreting data) performed by healthcare commissioners and YMH services. One hundred belief statements relating to individual, social, or environmental barriers and enablers were generated. Both participant groups articulated a desire to improve the use of ME for quality improvement and had particular interest in understanding the experiences of young people and families. Identified enablers included services and commissioners working in partnership, data literacy (including the ability to set appropriate performance indicators), relational skills, and provision of meaningful feedback. Barriers included data that did not adequately depict service performance, problems with data processes and tools, and the significant burden that data collection places on YMH services with the limited resources they have to do it. CONCLUSIONS: Importantly, this study illustrated that the use of ME could be improved. YMH services, healthcare commissioners should collaborate on ME plans and meaningfully involve young people and families where possible. Targets, performance indicators, and outcome measures should explicitly link to YMH service quality improvement; and ME plans should include qualitative data. Streamlined data collection processes will reduce unnecessary burden, and YMH services should have the capability to interrogate their own data and generate reports. Healthcare commissioners should also ensure that they provide meaningful feedback to their commissioned services, and local and national organisations collecting youth mental health data should facilitate the sharing of this data. The results of the study should be used to design theory-informed strategies to improve ME use.

Heterogeneity of quality of life in young people attending primary mental health services.

AIMS: The utility of quality of life (QoL) as an outcome measure in youth-specific primary mental health care settings has yet to be determined. We aimed to determine: (i) whether heterogeneity on individual items of a QoL measure could be used to identify distinct groups of help-seeking young people; and (ii) the validity of these groups based on having clinically meaningful differences in demographic and clinical characteristics. METHODS: Young people, at their first presentation to one of five primary mental health services, completed a range of questionnaires, including the Assessment of Quality of Life-6 dimensions adolescent version (AQoL-6D). Latent class analysis (LCA) and multivariate multinomial logistic regression were used to define classes based on AQoL-6D and determine demographic and clinical characteristics associated with class membership. RESULTS: 1107 young people (12-25 years) participated. Four groups were identified: (i) no-to-mild impairment in QoL; (ii) moderate impairment across dimensions but especially mental health and coping; (iii) moderate impairment across dimensions but especially on the pain dimension; and (iv) poor QoL across all dimensions along with a greater likelihood of complex and severe clinical presentations. Differences between groups were observed with respect to demographic and clinical features. CONCLUSIONS: Adding multi-attribute utility instruments such as the AQoL-6D to routine data collection in mental health services might generate insights into the care needs of young people beyond reducing psychological distress and promoting symptom recovery. In young people with impairments across all QoL dimensions, the need for a holistic and personalised approach to treatment and recovery is heightened.

A systematic review comparing caregiver burden and psychological functioning in caregivers of individuals with schizophrenia spectrum disorders and bipolar disorders.

BACKGROUND: Informal primary caregivers provide crucial supports to loved ones experiencing serious mental illnesses with profound outcomes for the caregivers themselves. A comprehensive understanding of how different serious mental illnesses change the caregiving experience may provide important insight into the ways in which caregivers can be better supported in their role. The aim of this review was to synthesize the comparative literature examining caregiver burden and psychological functioning (anxiety, depression, distress, and psychological wellbeing) between caregivers of people with schizophrenia spectrum disorders and bipolar disorder. METHODS: Studies were included if they compared caregivers across both diagnostic groups and used measures assessing either caregiver burden or psychological functioning of caregivers. Databases searched up until 11th of January 2022 included: Medline COMPLETE, Embase, PsycINFO and CINAHL. Reference list scans and grey literature searches across government, organisational and dissertation databases were also conducted. RESULTS: Twenty-eight studies comprising 6166 caregivers were included. Fourteen studies suggested that caregiving burden was comparable across both groups. The effects of caring on caregiver mental health and stress were comparable across both groups. However, methodological limitations were noted, including a reliance on cross-sectional studies, multiple and sometimes competing definitions of caregiving burden, variable sample sizes, and variation in measures used. CONCLUSION AND IMPLICATIONS: The experience of providing care is multidimensional and complex. Symptoms and functional difficulties experienced by people being cared for may affect caregivers more so than diagnosis. Caregivers play a vital role in helping people with serious mental illness. Supporting caregivers by reducing their burden and improving their psychological functioning may help them to continue to provide support, and cope with, the challenges of providing care.