Development and Validation of a Routine Session-by-Session Experience Measure for Youth Mental Health Services: My Youth Mental Health Session Experience (MySE).

Purpose: The 'My youth mental health Session Experience' (MySE) measure was developed by headspace, Australia's National Youth Mental Health Foundation, in collaboration with young people, for use as a routine session experience measure across its national centre service network. The measure fills a gap in measures needed to implement measurement-informed care in youth mental health care. Participants and Methods: Routinely collected data from 37,201 young people aged 12 to 25 years who commenced an episode of care at one of the 150 headspace centres between 1 July 2021 and 30 June 2022 were used to validate the five-item measure. Results: MySE demonstrated high internal consistency invariant over age and gender groups. There was one latent factor of session experience that all MySE items relate to, although this factor does not adequately capture all the information present in the individual items. A significant age effect showed that young adults reported more positive session experiences than adolescents. Conclusion: MySE demonstrated strong psychometric properties and is suitable for use in youth mental health care as a routine session-by-session experience measure. Such measures are needed to routinely inform clinicians of how young people are experiencing their treatment sessions, thereby contributing to better retention, engagement, and client outcomes through measurement-informed care.

The effect of survey administration mode on youth mental health measures: Social desirability bias and sensitive questions.

Aim: Research on trends in youth mental health is used to inform government policy and service funding decisions. It often uses interviewer-administered surveys, which may be affected by mode effects related to social desirability bias. This study sought to determine the impact of survey administration mode on mental health measures, comparing mode effects for sensitive mental health measures (psychological distress and wellbeing) and non-sensitive (physical activity) measures. Methods: Data were from two large national community samples of young Australians aged 12-25 years conducted in 2020 (N = 6238) and 2022 (N = 4122), which used both interviewer-administered and self-report modes of data collection. Results: Results showed participants reported lower psychological distress and higher wellbeing in the interviewer-assisted compared with the self-report mode. No mode effects were found for the non-sensitive physical activity measures. No interaction between mode and gender was found, but an age group by mode interaction revealed that those in the 18-21 and 22-25-year age groups were more strongly affected than younger adolescents. Conclusions: These findings suggest underestimates of mental health issues from interview survey formats, particularly for young adults. The results show how even a weak mode effect can have a large impact on mental health prevalence indicators. Researchers and policy makers need to be aware of the impact social desirability bias can have on mental health measures and consider taking steps to mitigate this effect.

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.

Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis.

Suicide remains a leading cause of preventable death worldwide, despite advances in research and decreases in mental health stigma through government health campaigns. Machine learning (ML), a type of artificial intelligence (AI), is the use of algorithms to simulate and imitate human cognition. Given the lack of improvement in clinician-based suicide prediction over time, advancements in technology have allowed for novel approaches to predicting suicide risk. This systematic review and meta-analysis aimed to synthesize current research regarding data sources in ML prediction of suicide risk, incorporating and comparing outcomes between structured data (human interpretable such as psychometric instruments) and unstructured data (only machine interpretable such as electronic health records). Online databases and gray literature were searched for studies relating to ML and suicide risk prediction. There were 31 eligible studies. The outcome for all studies combined was AUC = 0.860, structured data showed AUC = 0.873, and unstructured data was calculated at AUC = 0.866. There was substantial heterogeneity between the studies, the sources of which were unable to be defined. The studies showed good accuracy levels in the prediction of suicide risk behavior overall. Structured data and unstructured data also showed similar outcome accuracy according to meta-analysis, despite different volumes and types of input data.

Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study.

BACKGROUND: Emerging technologies, such as artificial intelligence (AI), have the potential to enhance service responsiveness and quality, improve reach to underserved groups, and help address the lack of workforce capacity in health and mental health care. However, little research has been conducted on the acceptability of AI, particularly in mental health and crisis support, and how this may inform the development of responsible and responsive innovation in the area. OBJECTIVE: This study aims to explore the level of support for the use of technology and automation, such as AI, in Lifeline's crisis support services in Australia; the likelihood of service use if technology and automation were implemented; the impact of demographic characteristics on the level of support and likelihood of service use; and reasons for not using Lifeline's crisis support services if technology and automation were implemented in the future. METHODS: A mixed methods study involving a computer-assisted telephone interview and a web-based survey was undertaken from 2019 to 2020 to explore expectations and anticipated outcomes of Lifeline's crisis support services in a nationally representative community sample (n=1300) and a Lifeline help-seeker sample (n=553). Participants were aged between 18 and 93 years. Quantitative descriptive analysis, binary logistic regression models, and qualitative thematic analysis were conducted to address the research objectives. RESULTS: One-third of the community and help-seeker participants did not support the collection of information about service users through technology and automation (ie, via AI), and approximately half of the participants reported that they would be less likely to use the service if automation was introduced. Significant demographic differences were observed between the community and help-seeker samples. Of the demographics, only older age predicted being less likely to endorse technology and automation to tailor Lifeline's crisis support service and use such services (odds ratio 1.48-1.66, 99% CI 1.03-2.38; P<.001 to P=.005). The most common reason for reluctance, reported by both samples, was that respondents wanted to speak to a real person, assuming that human counselors would be replaced by automated robots or machine services. CONCLUSIONS: Although Lifeline plans to always have a real person providing crisis support, help-seekers automatically fear this will not be the case if new technology and automation such as AI are introduced. Consequently, incorporating innovative use of technology to improve help-seeker outcomes in such services will require careful messaging and assurance that the human connection will continue.

Community expectations and anticipated outcomes for crisis support services-Lifeline Australia.

Crisis lines provide a critical first line of mental wellbeing support for community members in distress. Given the increasing referral to such services, there is a need to understand what the expectations of the community are around the role of such services in our public health responses. A computer assisted telephone interview was undertaken between 28th October and 30th November 2019. The aim was to explore expectations and anticipated outcomes of Lifeline Australia's crisis support services from a nationally representative community sample (N = 1,300). Analysis was undertaken to determine if demographic variables (age, gender, indigenous status, country of birth, culturally and linguistically diverse (CALD) status, sexual orientation, household composition, region and State/territory) and past service use affected community expectations. Results showed that a majority of respondents expected Lifeline to listen and provide support, recommend other services, and provide information. Help-seekers were expected to feel heard and listened to, receive safety advice or support to stay safe, and feel more hopeful. Lifeline was expected to prioritise people feeling suicidal, in immediate personal crisis, and experiencing domestic violence. Findings reveal that community members hold expectations for Lifeline Australia to serve as a suicide prevention and general crisis support service, which are congruent with the service's aims. There was little variation in community expectations of crisis support services based on demographic factors and past service use. The results show that the community has extensive and diverse expectations for this national crisis service to meet both short and longer-term needs for all vulnerable members of the community-entailing a very substantial public health service responsibility.

The Neuropsychological Symptoms Self-Report: psychometric properties in an adolescent and young adult mental health cohort.

BACKGROUND: Subjective cognitive symptoms are common in young people receiving mental health treatment and are associated with poorer outcomes. The aim of this study was to determine the psychometric properties of the Neuropsychological Symptoms Self-Report (NSSR), an eight-item measure recently developed to provide a snapshot of young people's perceived change in cognitive functioning in relation to mental health treatment. METHOD: The sample included 633 youth aged 12-25 years (Mage = 18.2, 66.5% female, 88.6% Australian-born) who had sought mental health treatment in primary headspace services. At three-month follow-up, participants completed the NSSR and self-report measures of depression and anxiety. RESULTS: Excellent internal consistency was found: Cronbach's alpha = 0.93. The NSSR had negative correlations with self-reported anxiety (r = -.33, p < .001) and depression (r = -.48, p < .001) symptoms, suggesting a link with affective symptoms, but still independence of constructs. Exploratory and confirmatory factor analyses supported a single-factor model. Item response theory (IRT) analysis suggested good model fit (homogeneity, data integrity, scalability, local independence and monotonicity) for all items. There was some evidence of measurement noninvariance (for item thresholds) by sex and age, but not diagnosis. IRT models also supported briefer six- and three-item versions of the NSSR. CONCLUSION: In busy clinical practice, clinicians need a rapid and reliable method for determining whether cognitive symptoms are of concern and in need of further assessment and treatment. Study findings support the NSSR as a brief, psychometrically sound measure for assessing subjective cognitive functioning in adolescents and young adults receiving mental health treatment.

Strengthening assessment and response to mental health needs for Aboriginal and Torres Strait Islander children and adolescents in primary care settings: study protocol for the Ngalaiya Boorai Gabara Budbut implementation project.

INTRODUCTION: Opportunities for improved mental health and wellbeing of Aboriginal and Torres Strait Islander children and young people lie in improving the capability of primary healthcare services to identify mental healthcare needs and respond in timely and appropriate ways. The development of culturally appropriate mental health assessment tools and clinical pathways have been identified as opportunities for strengthening workforce capacity in this area. The Ngalaiya Boorai Gabara Budbut implementation project seeks to pursue these opportunities by developing and validating a psychosocial assessment tool, understanding what services need to better care for your people and developing resources that address those needs. METHODS AND ANALYSIS: The project will be governed by a research governance group comprising Aboriginal service providers, young people, and researchers. It will be implemented in an urban health service in Canberra, and regional services in Moree, Wollongong, and the Illawarra regions of New South Wales Australia. The validation study will follow an argument-based approach, assessing cultural appropriateness and ease of use; test-retest validity; internal consistency, construct validity and the quality of decisions made based on the assessment. Following piloting with a small group of young people and their caregivers (n=10), participants (n=200) will be young people and/or their caregivers, attending one of the partner services. The needs assessment will involve an in-depth exploration of service via an online survey (n=60) and in-depth interviews with service providers (n=16) and young people (n=16). These activities will run concurrently. Service providers, researchers and the governance group will codesign resources that respond to the needs identified and pilot them through the participating services. ETHICS AND DISSEMINATION: The Aboriginal Health and Medical Research Council of NSW Human Research Ethics committee (#1769/21) has approved this project. Informed consent will be obtained from all participants and/or their caregivers (with assent from those aged <16 years) prior to participating in all aspects of the study. Research dissemination will occur through participating health services, academic journal articles and conference presentations.

Validation of a brief tool to assess and monitor suicidal ideation: The Youth Suicide Ideation Screen (YSIS-3).

BACKGROUND: . Suicidal ideation is common in young people. Assessment and monitoring can help to understand its dynamic nature and inform treatment planning. AIMS: . The aims were to evaluate psychometric properties of a brief screening tool - the Youth Suicide Ideation Screen-3 item (YSIS-3) and determine its correlation with the Suicidal Ideation Question-Junior (SIQ-JR) and measures of depressive and anxiety symptoms a. METHOD: . Cronbach's alpha (α) was used to evaluate internal consistency of the YSIS-3 in 1107 young people. Convergent validity was evaluated using network analysis based on individual item polychoric correlations. Structural equation modelling was used to understand latent constructs; pearson product moment correlations to validate the integrity of the underlying construct. and two-way mixed Intraclass Correlation Coefficient to examine longitudinal stability and Cohen's d to assess sensitivity to change. RESULTS: . The YSIS-3 was found to have internal consistency, convergent validity and criteria validity almost identical to the 15-item SIQ-JR. There was a high correlation (0.91) between the latent factor underpinning YSIS-3 and SIQ-JR. The YSIS-3 was more sensitive to change among those presenting with suicidal ideation at baseline. CONCLUSIONS: . The YSIS-3 is a valid measure for the assessment and monitoring of suicidal ideation, and is sensitive to change. This brief measure can contribute to regular monitoring of the presence and nature of suicidal ideation, which when included in comprehensive assessment, will inform the clinical management of those at risk of suicide.

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings.

Objective: Measurement feedback systems provide clinicians with regular snapshots of a client's mental health status, which can be used in treatment planning and client feedback. There are numerous barriers to clinicians using outcome measures routinely. This study aimed to investigate factors affecting the use of a measurement feedback system across youth mental health settings. Methods: The participants were 210 clinicians from headspace youth mental health services across Australia. They were surveyed on predictors and use of MyLifeTracker, a routine outcome measure. This was explored through three processes: looking at MyLifeTracker before session, using MyLifeTracker in treatment planning, and providing feedback of MyLifeTracker scores to clients. Results: Clinicians were more likely to look at MyLifeTracker before session, less likely to use it in treatment planning, and least likely to provide MyLifeTracker scores to clients. Each measurement feedback system process had a distinct group of predictors. Perceptions of MyLifeTracker's practicality was the only significant predictor of all three processes. Conclusion: Practically, organisations and supervisors can increase the use of measurement feedback systems through targeted supports.

A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker.

AIM: MyLifeTracker is a session-by-session mental health outcome measure for young people aged 12 to 25 years. The aim of this study was to determine clinically significant change indexes for this measure that would identify developmentally appropriate thresholds. The study also aimed to determine expected change trajectories to enable clinicians to compare a client's progress against average rates of change. METHODS: Participants comprised young people aged 12 to 25 years from both a clinical and a community sample from Australia. The clinical sample was 63 840 young people that attended a headspace centre. The non-clinical group was an Australian representative community sample of 4034 young people. RESULTS: Clinically significant change indexes were developed for MyLifeTracker specific for age and gender groups by comparing clinical and non-clinical samples. Males and young people aged 12 to 14 years needed to reach higher scores to achieve clinically significant change compared to females and other age groups, respectively. MyLifeTracker expected change trajectories followed a cubic pattern for those with lower baseline scores of 0 to 50, whereas those with baseline scores of 51 and above had varying patterns. For those with lower baseline scores, expected change trajectories showed that stronger change was evident early in treatment, which then tapered off before accelerating again later in treatment. CONCLUSIONS: The development of MyLifeTracker benchmarks allows the measure to be used for Feedback Informed Treatment by supporting treatment planning and decision-making. This information can help clinicians to identify clients who are not on track or deteriorating and identify when clients are improving.

Patterns of Youth Mental Health Service Use and Discontinuation: Population Data From Australia's Headspace Model of Care.

OBJECTIVE: Young people (ages 12-25) experience the highest risk of developing mental disorders; however, their uptake of and engagement with treatment is low. The study explored sociodemographic predictors of attendance and discontinuation of mental health services in a large, population-based sample. METHODS: Data were from the minimum data set collected from young people (ages 12-25) who attended headspace, Australia's National Youth Mental Health Foundation, from 2013 to 2017 (N=80,502). Data on key demographic and clinical variables and practitioner ratings of need for ongoing care were analyzed. Cox regression was used to examine the association between sociodemographic factors and rates of discontinuation based on practitioner-rated need for ongoing treatment. RESULTS: The mean±SD number of sessions attended during the first episode of care was 4.6±4.4 sessions (median=3). Session-by-session discontinuation rates ranged from 14% to 19% across 10 sessions. The proportion discontinuing treatment before session 11 was 71.2%. Analysis of a subgroup (N=40,039) showed that 24% of those who discontinued treatment later returned to the same headspace center for a second episode of care. Those who were most at risk of discontinuation were older (ages 18-25), male, heterosexual, Aboriginal or Torres Strait Islander, and living in a rural location. CONCLUSIONS: Sociodemographic factors were found to be associated with treatment discontinuation, and some young people followed a pathway in and out of mental health treatment. Further exploration is needed to determine the appropriate length and type of care for specific sociodemographic groups and how best to tailor treatment accordingly.

Subjective cognitive functioning in relation to changes in levels of depression and anxiety in youth over 3 months of treatment.

BACKGROUND: Subjective cognitive difficulties are common in mental illness and have a negative impact on role functioning. Little is understood about subjective cognition and the longitudinal relationship with depression and anxiety symptoms in young people. AIMS: To examine the relationship between changes in levels of depression and anxiety and changes in subjective cognitive functioning over 3 months in help-seeking youth. METHOD: This was a cohort study of 656 youth aged 12-25 years attending Australian headspace primary mental health services. Subjective changes in cognitive functioning (rated as better, same, worse) reported after 3 months of treatment was assessed using the Neuropsychological Symptom Self-Report. Multivariate multinomial logistic regression analysis was conducted to evaluate the impact of baseline levels of and changes in depression (nine-item Patient Health Questionnaire; PHQ9) and anxiety symptoms (seven-item Generalised Anxiety Disorder scale; GAD7) on changes in subjective cognitive function at follow-up while controlling for covariates. RESULTS: With a one-point reduction in PHQ9 at follow-up, there was an estimated 11-18% increase in ratings of better subjective cognitive functioning at follow-up, relative to stable cognitive functioning. A one-point increase in PHQ9 from baseline to follow-up was associated with 7-14% increase in ratings of worse subjective cognitive functioning over 3 months, relative to stable cognitive functioning. A similar attenuated pattern of findings was observed for the GAD7. CONCLUSIONS: A clear association exists between subjective cognitive functioning outcomes and changes in self-reported severity of affective symptoms in young people over the first 3 months of treatment. Understanding the timing and mechanisms of these associations is needed to tailor treatment.

Improving Mood with Physical ACTivity (IMPACT) trial: a cluster randomised controlled trial to determine the effectiveness of a brief physical activity behaviour change intervention on depressive symptoms in young people, compared with psychoeducation, in addition to routine clinical care within youth mental health services-a protocol study.

INTRODUCTION: Depression is highly prevalent and the leading contributor to the burden of disease in young people worldwide, making it an ongoing priority for early intervention. As the current evidence-based interventions of medication and psychological therapy are only modestly effective, there is an urgent need for additional treatment strategies. This paper describes the rationale of the Improving Mood with Physical ACTivity (IMPACT) trial. The primary aim of the IMPACT trial is to determine the effectiveness of a physical activity intervention compared with psychoeducation, in addition to routine clinical care, on depressive symptoms in young people. Additional aims are to evaluate the intervention effects on anxiety and functional outcomes and examine whether changes in physical activity mediate improvements in depressive symptoms. METHODS AND ANALYSIS: The study is being conducted in six youth mental health services across Australia and is using a parallel-group, two-arm, cluster randomised controlled trial design, with randomisation occurring at the clinician level. Participants aged between 12 years and 25 years with moderate to severe levels of depression are randomised to receive, in addition to routine clinical care, either: (1) a physical activity behaviour change intervention or (2) psychoeducation about physical activity. The primary outcome will be change in the Quick Inventory of Depressive Symptomatology, with assessments occurring at baseline, postintervention (end-point) and 6-month follow-up from end-point. Secondary outcome measures will address additional clinical outcomes, functioning and quality of life. IMPACT is to be conducted between May 2014 and December 2019. ETHICS AND DISSEMINATION: Ethical approval was obtained from the University of Melbourne Human Research Ethics Committee on 8 June 2014 (HREC 1442228). Trial findings will be published in peer-reviewed journals and presented at conferences. Key messages will also be disseminated by the youth mental health services organisation (headspace National Youth Mental Health Foundation). TRIAL REGISTRATION NUMBER: ACTRN12614000772640.

Development and validation of MyLifeTracker: a routine outcome measure for youth mental health.

PURPOSE: Routine outcome measures are now being designed for session-by-session use, with emphasis on clinically meaningful items and sensitivity to change. Despite an increasing mental health service focus for young people aged 12-25 years, there is a lack of outcome measures that are designed to be used across this age group. Consequently, MyLifeTracker (MLT) was developed as a brief mental health outcome measure designed for young people for routine use. It consists of the following five items targeting areas of importance to young people: general well-being, day-to-day activities, relationships with friends, relationships with family, and general coping. PARTICIPANTS AND METHODS: The measure was tested with 75,893 young people aged 12-25 years attending headspace centers across Australia for mental health-related issues. RESULTS: MLT showed a robust unidimensional factor structure and appropriate reliability. It exhibited good concurrent validity against well-validated measures of psychological distress, well-being, functioning, and life satisfaction. The measure was further demonstrated to be sensitive to change. CONCLUSION: MLT provides a psychometrically sound mental health outcome measure for young people. The measure taps into items that are meaningful to young people and provides an additional clinical support tool for clinicians and clients during therapy. The measure is brief and easy to use and has been incorporated into an electronic system that routinely tracks session-by-session change and produces time-series charts for the ease of use and interpretation.

Young men's access to community-based mental health care: qualitative analysis of barriers and facilitators.

BACKGROUND: Young men experiencing mental ill health report the lowest rates of professional help-seeking of any demographic group across the lifespan. This phase of life (i.e. adolescence and emerging adulthood) also corresponds to a period of disconnection from healthcare services for young men. AIMS: The present exploratory qualitative study aimed to identify barriers and facilitators to mental health care, as identified by a sample of young help-seeking men and staff involved in mental health service provision. METHOD: Interviews and focus groups were undertaken with 25 young males (mean = 18.80 years, SD = 3.56) and four service providers. Participants were recruited from headspace enhanced primary care early intervention centres in Australia. RESULTS: Thematic analysis indicated four overarching barriers and facilitators. The identified barriers were male role expectations, talk therapy as unknown territory, difficulties navigating the system and intake processes. The identified facilitators were positive initial contact, effective cross-sector partnerships, availability of male practitioners and use of targeted messaging. CONCLUSIONS: Given the ongoing low rates of help-seeking, high rates of suicide and other adverse outcomes for young men, priority research and clinical attention is needed for this group. Recommendations are offered for future research, including suggestions for implementation of targeted strategies addressing gender-based health needs.

Integrated (one-stop shop) youth health care: best available evidence and future directions.

Although mental health problems represent the largest burden of disease in young people, access to mental health care has been poor for this group. Integrated youth health care services have been proposed as an innovative solution. Integrated care joins up physical health, mental health and social care services, ideally in one location, so that a young person receives holistic care in a coordinated way. It can be implemented in a range of ways. A review of the available literature identified a range of studies reporting the results of evaluation research into integrated care services. The best available data indicate that many young people who may not otherwise have sought help are accessing these mental health services, and there are promising outcomes for most in terms of symptomatic and functional recovery. Where evaluated, young people report having benefited from and being highly satisfied with these services. Some young people, such as those with more severe presenting symptoms and those who received fewer treatment sessions, have failed to benefit, indicating a need for further integration with more specialist care. Efforts are underway to articulate the standards and core features to which integrated care services should adhere, as well as to further evaluate outcomes. This will guide the ongoing development of best practice models of service delivery.