Improving transfer of mental health care for rural and remote consumers in South Australia

In Australia, it is commonplace for tertiary mental health care to be provided in large regional centres or metropolitan cities. Rural and remote consumers must be transferred long distances, and this inevitably results in difficulties with the integration of their care between primary and tertiary settings. Because of the need to address these issues, and improve the transfer process, a research project was commissioned by a national government department to be conducted in South Australia. The aim of the project was to document the experiences of mental health consumers travelling from the country to the city for acute care and to make policy recommendations to improve transitions of care. Six purposively sampled case studies were conducted collecting data through semistructured interviews with consumers, country professional and occupational groups and tertiary providers. Data were analysed to produce themes for consumers, and country and tertiary mental healthcare providers. The study found that consumers saw transfer to the city for mental health care as beneficial in spite of the challenges of being transferred over long distances, while being very unwell, and of being separated from family and friends. Country care providers noted that the disjointed nature of the mental health system caused problems with key aspects of transfer of care including transport and information flow, and achieving integration between the primary and tertiary settings. Improving transfer of care involves overcoming the systemic barriers to integration and moving to a primary care-led model of care. The distance consultation and liaison model provided by the Rural and Remote Mental Health Services, the major tertiary provider of services for country consumers, uses a primary care-led approach and was highly regarded by research participants. Extending the use of this model to other primary mental healthcare providers and tertiary facilities will improve transfer of care.

Psychotic-like experiences in a community sample of adolescents: implications for the continuum model of psychosis and prediction of schizophrenia

Studies conducted in community samples suggest that psychotic-like experiences are common in the general population, leading to suggestions that they are either variations of normal personality or are different expressions of underlying vulnerability to psychotic disorder. Different types of psychotic symptoms may exist, some being normal variants and some having implications for mental health and functioning. The aim of the present study was to determine if different subtypes of psychotic-like experiences could be identified in a community sample of adolescents and to investigate if particular subtypes were more likely to be associated with psychosocial difficulties, that is, distress, depression and poor functioning, than other subtypes. Eight hundred and seventy-five Year 10 students from 34 schools participated in a cross-sectional survey that measured psychotic-like experiences using the Community Assessment of Psychic Experiences; depression using the Centre for Epidemiologic Studies Depression Scale; and psychosocial functioning using the Revised Multidimensional Assessment of Functioning Scale. Factor analysis was conducted to identify any subtypes of psychotic experiences. Four subtypes of psychotic-like experiences were identified: Bizarre Experiences, Perceptual Abnormalities, Persecutory Ideas, and Magical Thinking. Intermittent, infrequent psychotic experiences were common, but frequent experiences were not. Bizarre Experiences, Perceptual Abnormalities and Persecutory Ideas were strongly associated with distress, depression and poor functioning. Magical Thinking was only weakly associated with these variables. Overall these findings may suggest that infrequent psychotic-like experiences are unlikely to be a specific risk factor for onset of a psychotic disorder in community samples. Given that the different subtypes had varying associations with current difficulties it is suggested that not all subtypes confer the same risk for onset of psychotic disorder and poor outcome. Bizarre Experiences, Perceptual Abnormalities and Persecutory Ideas may represent expressions of underlying vulnerability to psychotic disorder, but Magical Thinking may be a normal personality variant.

Workplace stress: what is the role of positive mental health?

To examine whether positive mental health (PMH)-a positively focused well-being construct-moderates the job stress-distress relationship.

Mental health diversion courts: a two year recidivism study of a South Australian mental health court program.

The need to develop specialized judicial processes to deal with offenders with mental illnesses is now widely recognized and has led to the introduction of mental health court diversion programs around the world. At present, however, there is only limited evidence from which to assess the impact of these initiatives. This paper describes the South Australian model of diversion, with specific reference to the relationship between identified participant characteristics, program compliance rates, and re-offending outcomes. The results of a two-year recidivism study suggest that involvement with the program has a positive impact on recidivism, but that this is independent from the individual's level of success in the program. Lower risk offenders were more likely to achieve successful outcomes than those in the higher risk categories. The implications of these results, as well the factors that might inform the ongoing development of mental health court programs, are discussed.

Age, class and race discrimination: their interactions and associations with mental health among Brazilian university students

Although research on discrimination and health has progressed significantly, it has tended to focus on racial discrimination and US populations. This study explored different types of discrimination, their interactions and associations with common mental disorders among Brazilian university students, in Rio de Janeiro in 2010. Associations between discrimination and common mental disorders were examined using multiple logistic regression models, adjusted for confounders. Interactions between discrimination and socio-demographics were tested. Discrimination attributed to age, class and skin color/race were the most frequently reported. In a fully adjusted model, discrimination attributed to skin color/race and class were both independently associated with increased odds of common mental disorders. The simultaneous reporting of skin color/race, class and age discrimination was associated with the highest odds ratio. No significant interactions were found. Skin color/race and class discrimination were important, but their simultaneous reporting, in conjunction with age discrimination, were associated with the highest occurrence of common mental disorders.

Brief intervention: a promising framework for child and youth mental health?

There is a discrepancy between the demand for mental health treatment amongst children, young people and their carers, and the capacity of the current service system to provide evidence based interventions. Innovative models of care are required to redress this discrepancy. One such model is the single session model, which provides a single or small number of solution focused sessions targeting one or two identified problems. Single session interventions have been trialled across a range of presenting concerns including child and youth mental health services. This paper provides a rationale for offering a brief focused intervention as part of a broader Child and Youth Mental Health Service, and introduces a model of how brief intervention fits within a broader system of care.

Co-morbid depression and chronic illness related to coping and physical and mental health status

A partial latent structural regression analysis was used to evaluate the role of coping resources, depression, diet and exercise on mental and physical health status. The sample consisted of 113 participants (59 females and 54 males) with a mean age of 59.38 years (SD = 10.52). Coping resources, depression and exercise explained 52 and 26% of the variance in mental and physical health status, respectively. Fewer coping resources predicted higher levels of depression and both predicted worse mental health. Only higher levels of depression predicted worse physical health status. There were also significant indirect effects of coping on mental and physical health status through depression. The development of cognitive, social and emotional coping strategies is important for managing depression and supporting positive mental health. These results highlight the important role of health psychologists in the care of individuals with chronic illness. Additionally, the management of depression is important in maintaining positive physical health.

Taking the good life to the institution: forensic service users' perceptions of the good lives model

Previous literature has highlighted a number of concerns about forensic care and rehabilitation by those who use the services. The Good Lives Model (GLM) is a strength-based, humanistic approach to offender rehabilitation that has been largely overlooked by forensic mental health practitioners. This study explored the impact of a brief GLM program on forensic service users' perceptions of rehabilitation, both within and beyond therapeutic programs, using a thematically linked, multiple-case study research design. Pre-post comparisons of participants' perceptions of rehabilitation suggested three different outcomes: definite change, subtle change, and no change. Possible factors associated with participants' divergent experiences included level of exposure to the GLM, readiness to change, and practitioners' adherence to the GLM and experience with the model. The importance of attending to the wider system for successful implementation of this innovative approach is highlighted.

Intensive case management for high-risk patients with first-episode psychosis: service model and outcomes

Background : The first episode of psychosis is a crucial period when early intervention can alter the trajectory of the young person's ongoing mental health and general functioning. After an investigation into completed suicides in the Early Psychosis Prevention and Intervention Centre (EPPIC) programme, the intensive case management subprogramme was developed in 2003 to provide assertive outreach to young people having a first episode of psychosis who are at high risk owing to risk to self or others, disengagement, or suboptimal recovery. We report intensive case management model development, characterise the target cohort, and report on outcomes compared with EPPIC treatment as usual.

Methods : Inclusion criteria, staff support, referral pathways, clinical review processes, models of engagement and care, and risk management protocols are described. We compared 120 consecutive referrals with 50 EPPIC treatment as usual patients (age 15–24 years) in a naturalistic stratified quasi-experimental real-world design. Key performance indicators of service use plus engagement and suicide attempts were compared between EPPIC treatment as usual and intensive case management, and psychosocial and clinical measures were compared between intensive case management referral and discharge.

Findings : Referrals were predominately unemployed males with low levels of functioning and educational attainment. They were characterised by a family history of mental illness, migration and early separation, with substantial trauma, history of violence, and forensic attention. Intensive case management improved psychopathology and psychosocial outcomes in high-risk patients and reduced risk ratings, admissions, bed days, and crisis contacts.

Interpretation : Characterisation of intensive case management patients validated the clinical research focus and identified a first episode of psychosis high-risk subgroup. In a real-world study, implementation of an intensive case management stream within a well-established first episode of psychosis service showed significant improvement in key service outcomes. Further analysis is needed to determine cost savings and effects on psychosocial outcomes. Targeting intensive case management services to high-risk patients with unmet needs should reduce the distress associated with pathways to care for patients, their families, and the community.

The addition of depression to the Framingham Risk Equation model for predicting coronary heart disease risk in women

BACKGROUND: Depression is widely considered to be an independent and robust predictor of Coronary Heart Disease (CHD), however is seldom considered in the context of formal risk assessment. We assessed whether the addition of depression to the Framingham Risk Equation (FRE) improved accuracy for predicting 10-year CHD in a sample of women.

DESIGN: A prospective, longitudinal design comprising an age-stratified, population-based sample of Australian women collected between 1993 and 2011 (n=862).

METHODS: Clinical depressive disorder was assessed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID-I/NP), using retrospective age-of-onset data. A composite measure of CHD included non-fatal myocardial infarction, unstable angina coronary intervention or cardiac death. Cox proportional-hazards regression models were conducted and overall accuracy assessed using area under receiver operating characteristic (ROC) curve analysis.

RESULTS: ROC curve analyses revealed that the addition of baseline depression status to the FRE model improved its overall accuracy (AUC:0.77, Specificity:0.70, Sensitivity:0.75) when compared to the original FRE model (AUC:0.75, Specificity:0.73, Sensitivity:0.67). However, when calibrated against the original model, the predicted number of events generated by the augmented version marginally over-estimated the true number observed.

CONCLUSIONS: The addition of a depression variable to the FRE equation improves the overall accuracy of the model for predicting 10-year CHD events in women, however may over-estimate the number of events that actually occur. This model now requires validation in larger samples as it could form a new CHD risk equation for women.

A framework for classifying online mental health related communities with an interest in depression

Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental disorders often occur in combinations, e.g., a patient with an anxiety disorder may also develop depression. This co-occurring mental health condition provides the focus for our work on classifying online communities with an interest in depression. For this, we have crawled a large body of 620,000 posts made by 80,000 users in 247 online communities. We have extracted the topics and psycho-linguistic features expressed in the posts, using these as inputs to our model. Following a machine learning technique, we have formulated a joint modelling framework in order to classify mental health-related co-occurring online communities from these features. Finally, we performed empirical validation of the model on the crawled dataset where our model outperforms recent state-of-the-art baselines.

DeepCare: a deep dynamic memory model for predictive medicine

Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, recorded in electronic medical records, are episodic and irregular in time. We introduce DeepCare, an end-to-end deep dynamic neural network that reads medical records, stores previous illness history, infers current illness states and predicts future medical outcomes. At the data level, DeepCare represents care episodes as vectors in space, models patient health state trajectories through explicit memory of historical records. Built on Long Short-Term Memory (LSTM), DeepCare introduces time parameterizations to handle irregular timed events by moderating the forgetting and consolidation of memory cells. DeepCare also incorporates medical interventions that change the course of illness and shape future medical risk. Moving up to the health state level, historical and present health states are then aggregated through multiscale temporal pooling, before passing through a neural network that estimates future outcomes. We demonstrate the efficacy of DeepCare for disease progression modeling, intervention recommendation, and future risk prediction. On two important cohorts with heavy social and economic burden -- diabetes and mental health -- the results show improved modeling and risk prediction accuracy.

Saude mental, cidadania e sistemas locais : a experiencia de Santos

o presente estudo se propõe a refletir sobre a questão da saúde mental e das políticas desenvolvidas a seu respeito no Brasil, tomando como objeto de análise o Programa de Saúde Mental implantado no município de Santos (SP), a partir de 1989. A abordagem usada em Santos e preconizada pela Organização Panamericana de Saúde e pela Organização Mundial de Saúde consiste em trabalhar a relação pessoa/sociedade, através da substituição do modelo hospitalocêntrico por intervenções ambulatoriais, frentes de trabalho e projetos de reinserção e valorização do paciente na sociedade. Neste sentido, a questão de saúde mental é considerada, antes de tudo, como uma questão política, implicando o tipo de relação que a sociedade quer estabelecer com uma parte de seus membros. Assim, fica circunscrita à discussão das relações sociais de poder e da construção da cidadania no contexto brasileiro.

Saúde Mental e enfermagem: em busca da integralidade na ESF

The present work shows an inquiry about the conceptions and practical work of the nursing professionals on the accompaniment of mental sick patients in the Family s Health Strategy, under the approach of the completeness in health. The justification of this research is given by bringing an special attention concerning the subjet to these professionals of health: the gradual abandonment of the traditional manicomial model leads to the insertion of mental patients in the community . The nursing professionals must be prepared to receive these patients in the basic net of health and contribute to help their adaptation and insertion in the social environment as citizen. In this context, considering the entire attention to the mental health, it is important to detach that the assistance to the patient must search his reinsertion in the community by providing programs that develops his sociability. This analytical study was developed using a qualitative approach and a thematic verbal history. Ten nurses of Nova Natal s Health of the Family Unit, of Felipe Camarão Mista s Unit and of Cidade da Esperança s Health Unit contributed for its development . The information was acquired through an instrument research that made possible the accomplishment of the interviews. These ones were set previously and counted on the assent of the participants. The interviews were recorded and analyzed in accordance with the pertinent literature concerning the subject. The aggregation of the information was then discussed. At this moment three thematic axles were defined dividing the categories of analysis. According to the results of the interviews, the practical procedure given to the patients with mental upheaval is resumed by the prescription of psicotroprics medicaments. It doesn t provide an accompaniment by the professionals of health, specifically, nurses, to the patients and their families. The lack of qualification and a multi-professional team emerged as one of the challenges for the implementation of practical procedures towards the patients with mental upheaval. Therefore, the results of this research show the necessity of transformations in the current scene of the mental health in the Family s Health Strategy. These changes can be reached by politics investments on the mental health area, not only financially but by providing human resources that should allow the professionals to exert the completeness procedures