Search

Objectives: The prevention of mental illness involves identifying and modifying those characteristics and exposures of an individual that threaten their mental health – commonly referred to as risk factors. Existing categorisations of risk factors for mental illness are either limited in their scope or oversimplified in their description. As part of a large mental health workforce and service planning project, we set out to develop a more detailed and comprehensive categorisation scheme to describe risk factors for mental illness. Methods: We conducted a rapid review of MEDLINE and Google Scholar for meta-analytic studies that examined the characteristics and exposures that typify the population with mental illness in order to identify and categorise potential risk factors. Results: The search uncovered 1628 relevant studies, from which 10 primary and 23 secondary categories of risk factors were identified, ranging from genetic and biomedical to psychological and sociocultural. The review revealed interesting distortions in the focus of the literature, with the majority of studies focused on a few disorders (schizophrenia, depression and neurodegenerative disorders) and genetic, psychological and physiological risks. In contrast, environmental (e.g. media exposure) and occupational (e.g. employee health) were under-represented. Conclusion: The categorisation scheme developed in this paper is a step towards a more detailed taxonomy of risk factors for mental illness; this will be most useful in guiding clinicians, researchers and policy-makers in driving the prevention agenda forward.

Summary Background High-quality mental health services for infants, children, adolescents, and their families can improve outcomes for children exposed to early trauma. We sought to estimate the workforce needed to deliver tertiary-level community mental health care to all infants, children, adolescents, and their families in need using a generalisable model, applied to South Australia (SA). Methods Workforce estimates were determined using a workforce planning model. Clinical need was established using data from the Longitudinal Study of Australian Children and the Young Minds Matter survey. Care requirements were derived by workshopping clinical pathways with multiprofessional panels, testing derived estimates through an online survey of clinicians. Findings Prevalence of tertiary-level need, defined by severity and exposure to childhood adversities, was estimated at 5–8% across infancy and childhood, and 16% in mid-adolescence. The derived care pathway entailed reception, triage, and follow-up (mean 3 h per patient), core clinical management (mean 27 h per patient per year), psychiatric oversight (mean 4 h per patient per year), specialised clinical role (mean 12 h per patient per year), and socioeconomic support (mean 12 h per patient per year). The modelled clinical full-time equivalent was 947 people and budget was AU$126 million, more than five times the current service level. Interpretation Our novel needs-based workforce model produced actionable estimates of the community workforce needed to address tertiary-level mental health needs in infants, children, adolescents, and their families in SA. A considerable expansion in the skilled workforce is needed to support young people facing current distress and associated family-based adversities. Because mental illness is implicated in so many burgeoning social ills, addressing this shortfall could have wide-ranging benefits. Funding National Health and Medical Research Council (Australia), Department of Health SA.

Objectives: The study aim was to estimate the current level of ambulatory mental health service delivery to young people aged 0–24 years in Australia and associated government expenditure. Recognising the importance of the early years for the development of mental illness and socioeconomic outcomes, we were particularly interested in service access by infants and young children. Methods: We extracted information from government administrative datasets on the number of people who received mental health services, number of services and expenditure through the health sector for 2014–2015. Results are primarily reported by age groups 0–4, 5–11, 12–17 and 18–24 years. Results: Less than 1% of 0- to 4-year-olds received a mental health service in any one service setting, whereas nearly 11% of 18- to 24-year-olds received a mental health service through the Medicare Benefits Schedule Better Access programme alone. Many more services were delivered to 12- to 24-year-olds (>4 million) than to 0- to 11-year-olds (552,000). Medicare Benefits Schedule Better Access delivers services to more children and youth than do state/territory community mental health services, although the latter provide more services per client. In 2013–2014, Australian Government expenditure on ambulatory mental health services for 0- to 24-year-olds was AUD428 million, similar to the AUD491 million spent by state/territory governments. Conclusion: The study provides a benchmark for data-driven service planning to ensure that the mental health needs of infants, children and young people are met. Our results indicate that the youngest age group are underserviced relative to need, even noting infants and children may receive services for behavioural/mental health issues from providers not captured in our study (such as paediatricians). The developmental origins of mental illness underlies the urgency of adequate provision by governments of perinatal, infant and child mental health services to avoid loss of life potential and reduce the pressures on the justice, child protection and welfare systems.

Background: Siblings of children with mental health problems (MHPs) have been found to have higher rates of psychopathology and impaired psychosocial functioning compared to control children. It is not yet known how these siblings are managed within the clinical service context (e.g. are they assessed for mental health problems? Do they receive appropriate psychological treatment?). Aims: The following brief report describes a pilot study which aimed to explore (a) the rate of caregiver-identified MHPs in siblings and (b) the proportion of siblings receiving psychiatric or psychosocial treatment or support (i.e. treatment utilisation). Methods: Eighty-five caregivers of children receiving treatment at CAMHS were interviewed about the mental health and treatment utilisation of their siblings. Results: The findings revealed a high rate of caregiver-identified MHPs in siblings (34.1%) and a high rate of treatment utilisation (85.7%). Conclusions: The findings suggest that, for the vast majority, when siblings of children with MHPs are identified by their caregivers as having MHPs, they are receiving some kind of support and treatment. Implications for mental health service costs are discussed and recommendations for future research are outlined. Refereed/Peer-reviewed

Objective: To estimate the prevalence of children in the Australian population with risk factors for adult mental illness. Method: Key risk factors and risk domains were identified from a 2013 review of longitudinal studies on child and adolescent determinants of adult mental illness. Data items were identified from the Longitudinal Study of Australian Children that map onto the risk domains and were used to estimate the prevalence of these key individual risk factors and the magnitude of multiple risk in children aged 3 months to 13 years. Results: Even by infancy, risk factors for adult mental illness are highly prevalent, with 51.7% of infants having multiple risks. In 10 infants, 1 was born to mothers who consumed daily alcohol and 1 in 8 to mothers who smoked cigarettes daily during pregnancy. Also, 10.5% of infants were in families where the parents had separated, which increased to 18% in 10–11 year-olds. Psychological problems in the clinical range (based on the Strengths and Difficulties Questionnaire total problems score) ranged from 7.8% to 9.7% across the 4–13 years age range. Risks from negative parenting behaviours were highly prevalent across age groups. Two-thirds of children aged 12–13 years had parents who displayed low warmth or exhibited high hostility/anger. Across childhood, one in seven children are in families exposed to 3+ major life stressors. By age 8–9 years, more than 18% of children are exposed to ⩾5 risk factors. Conclusions: We find that modifiable risk factors for adult mental illness occur at the earliest stage in the life course and at greater prevalence than is commonly recognised. Considerable capacity will be required in child and adolescent mental health services and complementary family support programmes if risk factors for adult mental illness that are already apparent in infancy and childhood are to be addressed.

Background: The paediatric bipolar disorder (PBD) hypothesis arose in the USA and proposes childhood onset and high rates of prevalence. Method: Child and adolescent psychiatrists in Australia and New Zealand were surveyed about the PBD hypothesis. Results: Sixty percent responded (N = 199) and most (53%) reported never having diagnosed pre-pubertal PBD and a further 29% estimated seeing '1 or 2' cases. Most (83%) rated pre-pubertal PBD as 'very rare', 'rare' or 'not diagnosable'. Opinion varied as to whether PBD was over-diagnosed (25%), appropriately diagnosed (42%), or under-diagnosed (28%) in Australia and New Zealand, 5% were unsure. In contrast there was a consensus of views that PBD was over-diagnosed in the USA (90%), whilst less felt it appropriately diagnosed (3%), or under-diagnosed (1%) and 6% were unsure. Conclusions: The majority view was consistent with classical descriptions of bipolar disorder.Key Practitioner Message:Paediatric bipolar disorder (PBD) as defined by USA researchers, applies to a range of child behavioural patterns that differ in varying degrees from traditional descriptions of bipolar disorderPBD has become a common diagnosis in the USAThere is some evidence to suggest that adoption of the PBD diagnosis in the UK and Europe has been limitedThis paper reports on a survey of Australian and New Zealand child and adolescent psychiatrists and finds a solid majority retain a traditional view of bipolar disorder and are sceptical of the new PBD phenotypesThe PBD phenotypes remain hypothetical and the alternative hypothesis is that responses to trauma and other more recognised emotional and behavioural disorders of childhood remain sufficient diagnostic explanations

Background: Mental illness is prevalent across the globe and affects multiple aspects of life. Despite advances in treatment, there is little evidence that prevalence rates of mental illness are falling. While the prevention of cardiovascular disease and cancers are common in the policy dialogue and in service delivery, the prevention of mental illness remains a neglected area. There is accumulating evidence that mental illness is at least partially preventable, with increasing recognition that its antecedents are often found in infancy, childhood, adolescence and youth, creating multiple opportunities into young adulthood for prevention. Developing valid and reproducible methods for translating the evidence base in mental illness prevention into actionable policy recommendations is a crucial step in taking the prevention agenda forward. Method: Building on an aetiological model of adult mental illness that emphasizes the importance of intervening during infancy, childhood, adolescence and youth, we adapted a workforce and service planning framework,originally applied to diabetes care, to the analysis of the workforce and service structures required for best-practice prevention of mental illness. Results: The resulting framework consists of 6 steps that include identifying priority risk factors, profiling the population in terms of these risk factors to identify at-risk groups, matching these at-risk groups to best-practice interventions, translation of these interventions to competencies, translation of competencies to workforce and service estimates, and finally, exploring the policy implications of these workforce and services estimates. The framework outlines the specific tasks involved in translating the evidence-base in prevention, to clearly actionable workforce, service delivery and funding recommendations. Conclusions: The framework describes the means to deliver mental illness prevention that the literature indicates is achievable, and is the basis of an ongoing project to model the workforce and service structures required for mental illness prevention. Refereed/Peer-reviewed

Introduction In Australia there is an overwhelming need to provide effective treatment to patients presenting to the Emergency Department (ED) in mental health crisis. We adapted Improving Access to Psychological Therapies service model (IAPT) from the National Health Service (NHS) method for the large scale delivery of psychological therapies throughout the United Kingdom to an Australian ED setting. This telephone-based low intensity therapy was provided to people presenting in crisis to the EDs with combinations of anxiety, depression, substance use, and suicidal thinking. Methods This uncontrolled study utilised session-by-session, before-and-after measures of anxiety and depression via Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorder-7 (GAD-7). Results Of 347 eligible post-crisis ED referred patients, 291 (83.9%) engaged with the IAPT team. Most patients (65%) had attended the ED previously on an average of 3.9 (SD = 6.0) occasions. Two hundred and forty one patients received an average of 4.1 (SD = 2.3) contacts of low-intensity psychological therapies including 1.2 (SD = 1.7) community outreach visits between 20th Oct 2011 and 31st Dec 2012. Treated patients reported clinically significant improvements in anxiety, depression and suicidal ideation. Uncontrolled effect sizes were moderate for anxiety (0.6) and depression (0.6). Discussion The Australian ED IAPT program demonstrated that the UK IAPT program could be adapted for emergency mental health patients and be associated with similar clinical benefits as the original program. Funding The Flinders Medical Centre IAPT program received Emergency Department project funding from the Australian Commonwealth Government through the Council of Australian Governments (COAG) and the South Australian Government initiative, Every Patient Every Service (EPES).

Objective: To describe the implementation of an Improving Access to Psychological Therapies (IAPT) service at Flinders Medical Centre emergency department (IAPT@Flinders). IAPT, a population-based model of guided self-help for anxiety and depression delivered mainly by phone, was rolled-out nationally in the UK in 2010. There is a growing body of evidence demonstrating its clinical effectiveness and efficiency that can improve treatment adherence, reduce stigma, remove appointment attendance barriers and improve access for hard-to-reach populations. Conclusions: IAPT@Flinders was the test site for the first IAPT in Australia and also the first IAPT service that was integrated with an emergency department (ED). IAPT@Flinders offers rapid access, low-intensity cognitive behavioural therapy, social prescribing and signposting to clients with adjustment disorders, anxiety and/or depressive symptoms. Successful implementation within an Australian crisis setting has demonstrated that many IAPT structures and protocols are applicable to ED settings and the model can be implemented with fidelity. Adaption required consideration of positioning of the service within the Australian mental health framework; staff qualifications; the referral pathways; and exclusion criteria. It is recommended additional test sites and larger scale trials are conducted to provide further evidence of the applicability of large-scale adoption of the UK IAPT model into Australian ED settings.

Background: Few studies have tested whether individually tailored text messaging interventions have an effect on clinical outcomes when used to supplement traditional psychotherapy. This is despite the potential to improve outcomes through symptom monitoring, prompts for between-session activities, and psychoeducation. Objective: The intent of the study was to explore the use of individually tailored between-session text messaging, or short message service (SMS), as an adjunct to telephone-based psychotherapy for consumers who present to the Emergency Department (ED) in situational and/or emotional crises. Methods: Over a 4-month period, two therapists offered 68 prospective consumers of a telephone-based psychotherapy service individually tailored between-session text messaging alongside their telephone-based psychotherapy. Attendance and clinical outcomes (depression, anxiety, functional impairment) of those receiving messages were compared against a historical control group (n=157) who received telephone psychotherapy only. Results: A total of 66% (45/68) of the consumers offered SMS accepted the intervention. A total of 432 messages were sent over the course of the trial, the majority involving some kind of psychoeducation or reminders to engage in therapy goals. There were no significant differences in clinical outcomes between consumers who received the SMS and those in the control group. There was a trend for participants in the intervention group to attend fewer sessions than those in the control group (mean 3.7, SD 1.9 vs mean 4.4, SD 2.3). Conclusions: Both groups showed significant improvement over time. Individually tailored SMS were not found to improve clinical outcomes in consumers receiving telephone-based psychotherapy, but the study was underpowered, given the effect sizes noted and the significance level chosen. Given the ease of implementation and positive feedback from therapists and clients, individually tailored text messages should be explored further in future trials with a focus on enhancing the clinical impact of the tailored text messages, and utilizing designs with additional power to test for between-group effects. [J Med Internet Res 2014;16(10):e219]

Specialist child and adolescent mental health services (CAMHS) must make decisions about what treatments to provide to whom, when, where and how, within limited budgets. This raises questions about how services make such decisions, to best meet the mental health needs of their catchment. The methods and practices of Health Economics, a field with considerable expertise in measuring performance in health systems, can help CAMHS make better informed decisions regarding service provision. This paper identifies a process through a set of focused questions to help CAMHS examine and improve their performance. The aspects covered are service profile, costs, conceptualisation of outcomes and identification of value for money. The recommended approach should help CAMHS redirect resources to maximise benefits for their catchment population. Refereed/Peer-reviewed

Objective: The purpose of this study was to benchmark the cost efficiency of community care across six child and adolescent mental health services (CAMHS) drawn from different Australian states. Method: Organizational, contact and outcome data from the National Mental Health Benchmarking Project (NMHBP) data-sets were used to calculate cost per “treatment hour” and cost per episode for the six participating organizations. We also explored the relationship between intake severity as measured by the Health of the Nations Outcome Scales for Children and Adolescents (HoNOSCA) and cost per episode. Results: The average cost per treatment hour was $223, with cost differences across the six services ranging from a mean of $156 to $273 per treatment hour. The average cost per episode was $3349 (median $1577) and there were significant differences in the CAMHS organizational medians ranging from $388 to $7076 per episode. HoNOSCA scores explained at best 6% of the cost variance per episode. Conclusions: These large cost differences indicate that community CAMHS have the potential to make substantial gains in cost efficiency through collaborative benchmarking. Benchmarking forums need considerable financial and business expertise for detailed comparison of business models for service provision.

Rural families can find it difficult to access mental health treatment for children’s conduct problems. The current program was designed to provide immediate assistance to families who faced extended waiting times in the south-eastern region of South Australia. In this collaborative project, a primary care professional delivered a telephone-guided version of a clinically based parent training program (Barkley’s Defiant Children) with program support from mental health services. The 12-week trial included 29 children aged 2–12 years who were referred for disruptive behaviour, attention-deficit hyperactivity and learning difficulties. Children were randomised to either a parent training group or a waiting list control group. Parents in the training program were generally satisfied (Therapy Attitude Inventory overall rating = 4.3 measured on a 5-point Likert scale). The main behavioural measure showed significantly better outcomes for the training program (Eyberg Child Behaviour Inventory (ECBI): Intensity scale (F1,27 = 11.39, P

Background: Few cost-utility studies of child and adolescent mental health services (CAMHS) use quality adjusted life years (a combination of utility weights and time in health state) as the outcome to enable comparison across disparate programs and modalities. Part of the solution to this problem involves embedding preference-based health-related quality of life (PBHRQOL) utility instruments, which generate utility weights, in clinical practice and research. The Child Health Utility (CHU9D) is a generic PBHRQOL instrument developed specifically for use in young people. The purpose of this study was to assess the suitability of the CHU9D as a routine outcome measure in CAMHS clinical practice. Methods: Two hundred caregivers of children receiving community mental health services completed the CHU9Dalongside a standardised child and adolescent mental health measure (the Strengths and Difficulties Questionnaire –SDQ) during a telephone interview. We investigated face validity, practicality, internal consistency, and convergent validity of the CHU9D. In addition, we compared the utility weights obtained in this group with utility weights fromother studies of child and adolescent mental health populations. Results: Participants found the CHU9D easy and quick to complete. It demonstrated acceptable internal consistency,and correlated moderately with the SDQ. It was able to discriminate between children in the abnormal range and those in the non-clinical/borderline range as measured by the SDQ. Three CHU9D items without corollaries in the SDQ (sleep, schoolwork, daily routine) were found to be significant predictors of the SDQ total score and may be useful clinical metrics. The mean utility weight of this sample was comparable with clinical sub samples from other CHU9D studies, but was significantly higher than mean utility weights noted in other child and adolescent mental health samples. Conclusions: Initial validation suggests further investigation of the CHU9D as a routine outcome measure in CAMHS is warranted. Further investigation should explore test-retest reliability, sensitivity to change, concordance between caregiver and child-completed forms, and the calibration of the utility weights. Differences between utility weights generated by the CHU9D and other utility instruments in this population should be further examined by administering a range of PBHRQOL instruments concurrently in a mental health group. Refereed/Peer-reviewed