914 resultados para Public Sector Mental Health Services


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E-government provides a platform for governments to implement web-enabled services that facilitate communication between citizens and the government. However, technology-driven design approach and limited understanding of citizens' requirements have led to a number of critical usability problems on the government websites. Hitherto, there has been no systematic attempt to analyse the way in which theory of User-Centred Design (UCD) can contribute to address the usability issues of government websites. This research seeks to fill this gap by synthesising perspectives drawn from the study of UCD and examining them based on the empirical data derived from case study of the Scottish Executive (SE) website. The research employs a qualitative approach in the collection and analysis of data. The triangulated analysis of the findings reveals that e-government web designers take commercial development approach and focus only on technical implementations, which lead to websites that do not meet citizens' expectations. The research identifies that e-government practitioners can overcome web usability issues by transferring the theory of UCD to practice. © Copyright 2010 Inderscience Enterprises Ltd.

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 The implications of psychosocial disability being included in the National Disability Insurance Scheme (NDIS) are not yet fully understood. It is anticipated that approximately 57,000 people with continuous and enduring psychosocial disability across Australia will be eligible for support under Tier 3 of the NDIS. They will be able to make choices about the supports that are “reasonable and necessary” to meet their needs. While there is some work currently being undertaken to prepare staff in the sector for the change, until now there have been few projects focused on the implications of the NDIS from the perspective of people with psychosocial disability.
In response Mind Australia has funded an innovative research project that has sought to:
• provide the CMMHSS and other stakeholders with an understanding of support needs and preferences of people with psychosocial disability and the types of changes needed to develop more responsive services in the transition to NDIS.
• give people with psychosocial disability the opportunity to have a voice in stating their preferences for support.

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Objective : To explore associations among quality indicators (QI; e.g. pressure ulcers, falls and/or fractures, physical restraint, use of multiple medications, unplanned weight loss) of the Victorian Public Sector Residential Aged Care Services (VPSRACS) with other demographic and health-related factors.

Methods : Data for 380 residents over a 3-month period were extracted retrospectively from client databases at four VPSRAC facilities.

Results : Four significant logistic regression models were developed. The strongest models related to falls and polypharmacy. Significant associations for these models included the following: (1) residents with a higher body mass index were 6% less likely (95% confidence interval (CI) 1%–11%) to fall, whereas high levels of cognitive impairment increased the risk of falling by 8% (95% CI 2%–14%); (2) being ambulant with a gait aid more than doubled the risk of falling compared with non-ambulant residents (95% CI 19%–546%); and (3) higher cognitive impairment was associated with a 6% (95% CI 1%–11%) reduction in the likelihood of polypharmacy.

Conclusions :
Identification of significant relationships between the VPSRACS QI and other demographic and health-related factors is a preliminary step towards a more in-depth understanding of the factors that influence the QI and predict adverse events.

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Objective: The aim of this study was to assess re-hospitalization rates of individuals with psychosis and bipolar disorder and to study determinants of readmission. Methods: Prospective observational study, conducted in Sao Paulo, Brazil. One hundred-sixty-nine individuals with bipolar and psychotic disorder in need of hospitalization in the public mental health system were followed for 12 months after discharge. Their families were contacted by telephone and interviews were conducted at 1, 2, 6 and 12 months post-discharge to evaluate readmission rates and factors related. Results: One-year re-hospitalization rate was of 42.6%. Physical restraint during hospital stay was a risk factor (OR = 5.4-10.5) for readmission in most models. Not attending consultations after discharge was related to the 12-month point readmission (OR = 8.5, 95% CI 2.3-31.2) and to the survival model (OR = 3.2, 95% CI 1.5-7.2). Number of previous admissions was a risk factor for the survival model (OR = 6.6-11.9). Family's agreement with permanent hospitalization of individuals with mental illness was the predictor associated to readmission in all models (OR = 3.5-10.9) and resulted in shorter survival time to readmission; those readmitted were stereotyped as dangerous and unhealthy. Conclusions: Family's stigma towards mental illness might contribute to the increase in readmission rates of their relatives with psychiatric disorders. More studies should be conducted to depict mechanisms by which stigma increases re-hospitalization rates.

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Focuses on the emergence of public health crisis in the U.S. in connection with the projected increase in the number of older adults with mental disorders. Disorders which are commonly associated with older adults; Sources of mental health services for older adults; Factors that contribute to high levels of psychopathology; Impact of the economic costs of mental disorders on direct and indirect costs for healthcare; Recommendations for the expected crisis in geriatric mental health.

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Mode of access: Internet.

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The purpose of this paper is to demonstrate that, although there are some unique features associated with mental illness, such special features do not preclude economic analysis. As a mechanism for understanding how individual economic studies fit into the mental health sector, a conceptual framework of the components of mental health service provision is outlined. Emphasis is placed on, not simply institutional and market resources, but also on the services provided by relatives, self-help groups, etc. Australian data on parts of the mental health sector are employed to illustrate that some (and different) economic analyses can be undertaken in mental health. First, time-series data on public psychiatric hospitals are employed to demonstrate trends associated with deinstitutionalisation. Other data (for Queensland alone) indicate that there are state-based differences in the provision of such services. Second, attention is then directed to the analysis of time-series data on private fee-for-service psychiatric services. Various concepts and measures from industrial economics are applied to analyse the relative size of this service industry, the pricing behaviour of the profession, the service-mix of "the psychiatry firms" operating in Australia.

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BACKGROUND: As the changes underpinning the Coordinated Care Trials in South Australia have become more apparent, similarities have emerged between the rationalisation of public schooling in the mid 1980s and the transformation of public health in the 1990s.

OBJECTIVE: This article aims to discuss the evolution of health services in South Australia and help us answer the question of how best to manage our public and private health infrastructure in a changing economic and social context.

DISCUSSION: Both strategies in education and health share common elements of cost cutting, attempts at improving efficiencies, a flirting with the private sector and the attendant risk of reduced quality of services to the public. This situation in both sectors is indicative of a shift in public policy and a growth in the belief that private management of public sector infrastructure can help resolve the funding crises around our education and health systems.

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The purpose of this evaluation is to assess the performance of Iowa's mental health system in relation to current standards, benchmarks and best practices found in public health systems in the United States.

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We investigated the temporal relationship between lifestyle and mental health among 564 midlife women. The mental health measured included anxiety, depression, and mental well-being; the lifestyle measures included body mass index (BMI), exercise, smoking, alcohol use, and caffeine consumption. We found that BMI was positively related with mental well-being (r = .316, p = .009); smokers had lower mental well-being than nonsmokers (β = 6.725, p = .006), and noncaffeine drinkers had higher mental well-being (β = 5, p = .023). Past alcohol-drinkers had less anxiety than nondrinkers (β = 1.135, p = .04). Therefore, lifestyle is predictive of mental health among midlife and older women.