945 resultados para mental model


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Objectives: Comparatively few people with severe mental illness are employed despite evidence that many people within this group wish to obtain, can obtain and sustain employment, and that employment can contribute to recovery. This investigation aimed to: (i) describe the current policy and service environment within which people with severe mental illness receive employment services; (ii) identify evidence-based practices that improve employment outcomes for people with severe mental illness; (iii) determine the extent to which the current Australian policy environment is consistent with the implementation of evidence-based employment services for people with severe mental illness; and (iv) identify methods and priorities for enhancing employment services for Australians with severe mental illness through implementation of evidence-based practices. Method: Current Australian practices were identified, having reference to policy and legal documents, funding body requirements and anecdotal reports. Evidence-based employment services for people with severe mental illness were identified through examination of published reviews and the results of recent controlled trials. Results: Current policy settings support the provision of employment services for people with severe mental illness separate from clinical services. Recent studies have identified integration of clinical and employment services as a major factor in the effectiveness of employment services. This is usually achieved through co-location of employment and mental health services. Conclusions: Optimal evidence-based employment services are needed by Australians with severe mental illness. Providing optimal services is a challenge in the current policy environment. Service integration may be achieved through enhanced intersectoral links between employment and mental health service providers as well as by co-locating employment specialists within a mental health care setting.

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Background: Early detection and treatment of mental disorders in adolescents and young adults can lead to better health outcomes. Mental health literacy is a key to early recognition and help seeking. Whilst a number of population health initiatives have attempted to improve mental health literacy, none to date have specifically targeted young people nor have they applied the rigorous standards of population health models now accepted as best practice in other health areas. This paper describes the outcomes from the application of a health promotion model to the development, implementation and evaluation of a community awareness campaign designed to improve mental health literacy and early help seeking amongst young people. Method: The Compass Strategy was implemented in the western metropolitan Melbourne and Barwon regions of Victoria, Australia. The Precede-Proceed Model guided the population assessment, campaign strategy development and evaluation. The campaign included the use of multimedia, a website, and an information telephone service. Multiple levels of evaluation were conducted. This included a cross-sectional telephone survey of mental health literacy undertaken before and after 14 months of the campaign using a quasi-experimental design. Randomly selected independent samples of 600 young people aged 12 - 25 years from the experimental region and another 600 from a comparison region were interviewed at each time point. A series of binary logistic regression analyses were used to measure the association between a range of campaign outcome variables and the predictor variables of region and time. Results: The program was judged to have an impact on the following variables, as indicated by significant region-by-time interaction effects ( p < 0.05): awareness of mental health campaigns, self-identified depression, help for depression sought in the previous year, correct estimate of prevalence of mental health problems, increased awareness of suicide risk, and a reduction in perceived barriers to help seeking. These effects may be underestimated because media distribution error resulted in a small amount of print material leaking into the comparison region. Conclusion: We believe this is the first study to apply the rigorous standards of a health promotion model including the use of a control region to a mental health population intervention. The program achieved many of its aims despite the relatively short duration and moderate intensity of the campaign.

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Objective: This study examined the validity of a model predicting weight restricting behaviour both cross-sectionally and longitudinally. Method: Participants comprised 1207 girls aged from 12 to 14 years. The girls completed self-report questionnaires at three time points over 1-year intervals. Results: The cross-sectional results suggested that weight preoccupation and body dissatisfaction directly predicted weight restricting behaviour. In addition, upset induced by teasing, depressive symptoms, BMI and negative attributional style demonstrated indirect effects on weight restricting behaviour through their effects on body dissatisfaction and/or weight preoccupation. Longitudinally however, only weight restricting behaviour and body dissatisfaction were significant in the prediction of weight restricting behaviour. Discussion: The implications of the results are discussed, together with suggestions for future research. Copyright (c) 2006 John Wiley & Sons, Ltd and Eating Disorders Association.

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The Access to Allied Psychological Services component of Australia's Better Outcomes in Mental Health Care program enables eligible general practitioners to refer consumers to allied health professionals for affordable, evidence-based mental health care, via 108 projects conducted by Divisions of General Practice. The current study profiled the models of service delivery across these projects, and examined whether particular models were associated with differential levels of access to services. We found: 76% of projects were retaining their allied health professionals under contract, 28% via direct employment, and 7% some other way; Allied health professionals were providing services from GPs' rooms in 63% of projects, from their own rooms in 63%, from a third location in 42%; and The referral mechanism of choice was direct referral in 51% of projects, a voucher system in 27%, a brokerage system in 24%, and a register system in 25%. Many of these models were being used in combination. No model was predictive of differential levels of access, suggesting that the approach of adapting models to the local context is proving successful.

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O presente estudo refere-se a uma investigação analítica e descritiva sobre a TV Pinel no Brasil, um programa de televisão desenvolvido no Hospital Psiquiátrico Philippe Pinel, no Rio de Janeiro. E, como trabalho complementar, apresentamos uma análise das atividades culturais, artísticas e esportivas desenvolvidas no Hospital Psiquiátrico de Havana, em Cuba. Este estudo refere-se à busca da compreensão do espaço de comunicação das pessoas que padecem de transtornos mentais, a partir das experiências desses hospitais psiquiátricos os quais se apóiam em estratégias comunicacionais e artísticas para promover a reabilitação psicossocial. As reflexões conceituais sobre o espaço de comunicação estão centradas no conceito de espaço, a partir dos estudos do geógrafo Milton Santos. As discussões teóricas foram sustentadas na Teoria da Complexidade, com base no pensamento do teórico francês Edgar Morin. Apresentamos uma reflexão sobre o modelo de tratamento psiquiátrico a partir dos trabalhos da psiquiatra Nise da Silveira, da artista Lygia Clark, e do médico e artista Lula Wanderley. Esta investigação aborda a importância da arte e da comunicação no processo da ressocialização da pessoa enferma mental.(AU)

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O uso abusivo de substâncias psicoativas tem sido objeto de preocupação e alvo de políticas públicas de enfrentamento, praticamente no mundo todo. O reconhecimento de que tal forma de uso acarreta relevantes consequências econômicas, sociais, acadêmicas, familiares e de saúde física e mental, tem levado as autoridades competentes a criar programas que visam a fazer frente à expansão desse fenômeno. No Brasil, após um período em que o tratamento oferecido aos usuários de substâncias era predominantemente asilar, vem ocorrendo mudanças significativas no modelo de atenção a essa população, notadamente com a implantação dos Centros de Atenção Psicossocial Álcool e Drogas, dentro da estrutura do Sistema Único de Saúde SUS. O presente estudo tem por objetivo identificar e analisar a percepção dos pro-fissionais de saúde mental que atuam no CAPS-ad, sobre a pertinência e a eficácia das abor-dagens e técnicas por eles utilizadas no atendimento aos usuários de substâncias psicoativas. Visa também a conhecer a formação acadêmica e complementar desses trabalhadores; a natu-reza das relações profissionais que se estabelecem entre os membros da equipe; os resultados obtidos com o trabalho e o grau de satisfação dos profissionais com esses resultados. Objetiva ainda a identificar a representação que eles fazem desses usuários e o grau de confiança na proposta CAPS-ad. Para a coleta de dados utilizou-se a técnica de entrevistas semi-estruturadas e o tratamento dos dados foi realizado com base na técnica de Análise de Conte-údo de Laurence Bardin. A investigação revelou que os profissionais não têm formação para lidar com dependência química, que a equipe não atua de forma interdisciplinar e que o trata-mento é realizado de forma aleatória e com baixa eficácia. A representação que fazem do usu-ário é a de um indivíduo doente e ou vitimado pelas condições familiares e sócio-econômicas. Constatou-se também que a maioria dos profissionais tem dúvidas quanto à adequação do CAPS-ad como proposta para cuidar dos usuários de álcool e outras drogas.

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Mental-health risk assessment practice in the UK is mainly paper-based, with little standardisation in the tools that are used across the Services. The tools that are available tend to rely on minimal sets of items and unsophisticated scoring methods to identify at-risk individuals. This means the reasoning by which an outcome has been determined remains uncertain. Consequently, there is little provision for: including the patient as an active party in the assessment process, identifying underlying causes of risk, and eecting shared decision-making. This thesis develops a tool-chain for the formulation and deployment of a computerised clinical decision support system for mental-health risk assessment. The resultant tool, GRiST, will be based on consensual domain expert knowledge that will be validated as part of the research, and will incorporate a proven psychological model of classication for risk computation. GRiST will have an ambitious remit of being a platform that can be used over the Internet, by both the clinician and the layperson, in multiple settings, and in the assessment of patients with varying demographics. Flexibility will therefore be a guiding principle in the development of the platform, to the extent that GRiST will present an assessment environment that is tailored to the circumstances in which it nds itself. XML and XSLT will be the key technologies that help deliver this exibility.

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Classification is the most basic method for organizing resources in the physical space, cyber space, socio space and mental space. To create a unified model that can effectively manage resources in different spaces is a challenge. The Resource Space Model RSM is to manage versatile resources with a multi-dimensional classification space. It supports generalization and specialization on multi-dimensional classifications. This paper introduces the basic concepts of RSM, and proposes the Probabilistic Resource Space Model, P-RSM, to deal with uncertainty in managing various resources in different spaces of the cyber-physical society. P-RSM’s normal forms, operations and integrity constraints are developed to support effective management of the resource space. Characteristics of the P-RSM are analyzed through experiments. This model also enables various services to be described, discovered and composed from multiple dimensions and abstraction levels with normal form and integrity guarantees. Some extensions and applications of the P-RSM are introduced.

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In the field of mental health risk assessment, there is no standardisation between the data used in different systems. As a first step towards the possible interchange of data between assessment tools, an ontology has been constructed for a particular one, GRiST (Galatean Risk Screening Tool). We briefly introduce GRiST and its data structures, then describe the ontology and the benefits that have already been realised from the construction process. For example, the ontology has been used to check the consistency of the various trees used in the model. We then consider potential uses in integration of data from other sources. © 2009 IEEE.

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This article explores the salience of disability theory for understanding the experiences of people with serious mental illness. Drawing on data from a focus group study, we suggest that users experience both impairment (as embodied irrationality) which can, in itself, be oppressive, and also have to manage their lives within a largely disabling society. We outline some of the strategies adopted by users to manage their situation and ensure they access and receive health services, and illustrate how these are a result of the complex relationship between disability and impairment. We suggest that using a framework of the social model of disability provides a useful way of understanding and making sense of the experience of users with serious mental illness. © Blackwell Publishing Ltd/Foundation for the Sociology of Health & Illness 2005.

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Failure to detect patients at risk of attempting suicide can result in tragic consequences. Identifying risks earlier and more accurately helps prevent serious incidents occurring and is the objective of the GRiST clinical decision support system (CDSS). One of the problems it faces is high variability in the type and quantity of data submitted for patients, who are assessed in multiple contexts along the care pathway. Although GRiST identifies up to 138 patient cues to collect, only about half of them are relevant for any one patient and their roles may not be for risk evaluation but more for risk management. This paper explores the data collection behaviour of clinicians using GRiST to see whether it can elucidate which variables are important for risk evaluations and when. The GRiST CDSS is based on a cognitive model of human expertise manifested by a sophisticated hierarchical knowledge structure or tree. This structure is used by the GRiST interface to provide top-down controlled access to the patient data. Our research explores relationships between the answers given to these higher-level 'branch' questions to see whether they can help direct assessors to the most important data, depending on the patient profile and assessment context. The outcome is a model for dynamic data collection driven by the knowledge hierarchy. It has potential for improving other clinical decision support systems operating in domains with high dimensional data that are only partially collected and in a variety of combinations.

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Results of numerical experiments are introduced. Experiments were carried out by means of computer simulation on olfactory bulb for the purpose of checking of thinking mechanisms conceptual model, introduced in [2]. Key role of quasisymbol neurons in processes of pattern identification, existence of mental view, functions of cyclic connections between symbol and quasisymbol neurons as short-term memory, important role of synaptic plasticity in learning processes are confirmed numerically. Correctness of fundamental ideas put in base of conceptual model is confirmed on olfactory bulb at quantitative level.