Awareness of headspace youth mental health service centres across Australian communities between 2008 and 2015

Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction

Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.

Scaling up community-delivered mental health support and care: A landscape analysis

Introduction

The mental health crisis has caused widespread suffering and has been further exacerbated by the COVID-19 pandemic. Marginalized groups are especially affected, with many concerns rooted in social determinants of mental health. To stem this tide of suffering, consideration of approaches outside the traditional biomedical model will be necessary. Drawing from task-sharing models of mental health care that have been pioneered in low-resource settings, community-initiated care (CIC) represents a potentially promising collection of approaches. This landscape analysis seeks to identify examples of CIC that have been implemented outside of the research context, with the aim of identifying barriers and facilitators of scale up.

Methods

A narrative review approach was used for this landscape analysis in which the PubMed database was searched and further supplemented with Google Scholar. Promising programs were then discussed over multiple rounds of meetings with the research team, consisting of collaborators with varied experiences in mental health. Using the selection criteria and feedback derived from group meetings, a final list of programs was identified and summarized according to common characteristics and features.

Results

The initial PubMed search yielded 16 results, supplemented by review of the first 100 entries in Google Scholar. Through 5 follow-up meetings among team members, consensus was reached on a final list of 9 programs, which were grouped into three categories based on similar themes and topics: (1) approaches for the delivery of psychosocial interventions; (2) public health and integrative approaches to mental health; and (3) approaches for addressing youth mental health. Key facilitators to scale up included the importance of sustainable financing and human resources, addressing social determinants and stigma, engaging diverse stakeholders, leveraging existing health infrastructure, using sustainable training models, ensuring cultural relevance and appropriateness, and leveraging digital technologies.

Discussion

This landscape analysis, though not an exhaustive summary of the literature, describes promising examples of efforts to scale up CIC outside of the research context. Going forward, it will be necessary to mobilize stakeholders at the community, health system, and government levels to effectively promote CIC.

LevelMind@JC hubs-a novel community-based youth mental wellness early intervention in Hong Kong: An evaluation of stakeholders' perceptions and experiences

OBJECTIVES

LevelMind@JC youth mental wellness hubs have been launched as a novel early intervention initiative to mitigate the inevitable youth mental health problems in Hong Kong in 2019. The present study investigated the perceptions and experiences of these hubs amonst three key stakeholders, namely hub youths, hub carers of youths and hub staff.

METHOD

An online survey assessing the perceptions and experiences of hubs on 6 major domains (e.g., youth-friendly and nonstigmatizing characteristics) was administered to three stakeholders in December 2020. Seventy-one hub youths (12-35 years old), 18 hub carers (30-64 years old) and 25 hub staff (24-59 years old) completed the survey.

RESULTS

On a 5-point Likert scale with higher ratings representing better outcomes, all three stakeholders reported above-average ratings on their overall satisfaction of hub experiences (hub youths: mean = 4.4, SD = 0.6; hub carers: mean = 4, SD = 0.8; hub staff: mean = 3.8, SD = 0.6). In addition, hub youths and hub carers reported above-average ratings on youth-friendly and nonstigmatizing characteristics regarding hubs (mean >=4.2).

CONCLUSIONS

The present findings suggest that the key stakeholders are generally satisfied with and show support to the youth-friendly, empowering and nonstigmatizing LevelMind @JC hubs. These findings along with the suggestions for hub improvement made by the stakeholders highlight the importance of taking cultural values into consideration whilst planning for mental services. More importantly, clinical implications are also highlighted which give insight for the development and implementation of a scalable, effective, and replicable early community intervention for psychiatric practise pertaining to youth mental health.

Can We Build 'Somewhere That You Want to Go'? Conducting Collaborative Mental Health Service Design with New Zealand's Young People

Globally, young people are at high risk of mental health problems, but have poor engagement with services. Several international models have emerged seeking to address this gap by providing youth-specific care designed in collaboration with young people. In this study, 94 young people in New Zealand participated in collaborative workshops exploring their vision of an ideal mental health service. Participants were aged 16-25. Reflexive thematic analysis was used to identify seven themes. These describe the ideal mental health service for these young people as comfortable, accessible, welcoming, embedded in the community, holistic, adaptable, and youth-focused. In addition to describing how services might better serve the needs of youth, this article outlines a method for adapting international principles for youth-friendly care to the specific needs of a population of young people. This article provides supporting evidence that services should consider how to improve their engagement with youth through collaboration with local populations of young people.