196 resultados para priority setting


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Interventions to promote mental health in the workplace are rapidly gaining acceptability as a means to prevent, screen, treat and effectively manage the growing disease burden of depression and anxiety among working people. The objective of this study was to identify socio-demographic and work setting correlates of poor mental health to consider alongside other evidence in priority setting for workplace mental health promotion (MHP). Multiple logistic regression was used to model the probability of poor mental health (SF-12) in relation to socio-demographic (gender, age, education, marital status and occupational skill level) and employment factors (workplace size and type, industrial sector, employment arrangement and working hours) in a population-based cross-sectional survey of 1051 working Victorians. As a result, poor mental health was (21% prevalence overall) higher in working females than in males and decreased with increasing age. Only one employment factor was significant in demographically adjusted multivariate analyses, showing an increase in the odds of poor mental health with increasing working hours. It is concluded that based on the prevalence of poor mental health, Victorian work settings with high proportions of younger workers, and younger working women in particular, should be prioritized for workplace MHP. Thus, together with other research demonstrating particularly poor psychosocial working conditions for young working women, sectors with an over-representation of this group (e.g. service sector) could be prioritized for workplace MHP alongside young and blue-collar males (also a priority due to low mental healthcare service use).

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 The study used economic and ethical theory, empirical evidence and local stakeholders views to develop a checklist of features of an ideal approach to priority-setting. This was used to determine the ideal approach for priority-setting for HIV prevention in Uganda. The Assessing Cost-Effectiveness (ACE) approach was determined to be the ideal approach using the checklist developed. A pilot study using the approach determined that in Uganda, blood safety and HIV counselling interventions are the most cost-effective, equitable and acceptable interventions. Mass media interventions were the least cost-effective and affordable, had a weak evidence base but were more acceptable. On the other hand interventions targeting Most-at-risk-populations were cost-effective but least acceptable. The study demonstrates the importance of balancing technical rigor and due process to ensure buy-in by stakeholders.

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Resources for obesity prevention interventions are inevitably limited, necessitating the selection of priority groups to ensure effective and equitable use of funds. This paper aims to review published approaches to selection of priority groups ('target populations') for obesity prevention, and to present the development of a new systematic framework for organizing and assessing evidence for selecting priority groups. A review was conducted of the process and justification described for selecting priority groups in a sample of obesity prevention publications. Using the results of this review and adaptation of theory and frameworks in both the obesity prevention and health promotion priority-setting literature, a framework was developed for assessment of potential priority groups for obesity prevention. The published literature lacks discussion of and explicit processes for selection of priority groups for obesity prevention intervention. The new framework describes specific types of evidence that should be considered in the assessment of a potential priority group for obesity prevention and has applications for funding and implementing community-based or settings-level obesity prevention interventions and research. Application of this framework has the potential to enhance the effective use of limited obesity prevention resources and to identify areas in need of additional research evidence.

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Background: In mental health, policy-makers and planners are increasingly being asked to set priorities. This means that health economists, health services researchers and clinical investigators are being called upon to work together to define and measure costs. Typically, these researchers take available service utilisation data and convert them to costs, using a range of assumptions. There are inefficiencies, as individual groups of researchers frequently repeat essentially similar exercises in achieving this end. There are clearly areas where shared or common investment in the development of statistical software syntax, analytical frameworks and other resources could maximise the use of data.

Aims of the Study: This paper reports on an Australian project in which we calculated unit costs for mental health admissions and community encounters. In reporting on these calculations, our purpose is to make the data and the resources associated with them publicly available to researchers interested in conducting economic analyses, and allow them to copy, distribute and modify them, providing that all copies and modifications are available under the same terms and conditions (i.e., in accordance with the `Copyleft' principle). Within this context, the objectives of the paper are to: (i) introduce the `Copyleft' principle; (ii) provide an overview of the methodology we employed to derive the unit costs; (iii) present the unit costs themselves; and (iv) examine the total and mean costs for a range of single and comorbid conditions, as an example of the kind of question that the unit cost data can be used to address.

Method: We took relevant data from the Australian National Survey of Mental Health and Wellbeing (NSMHWB), and developed a set of unit costs for inpatient and community encounters. We then examined total and mean costs for a range of single and comorbid conditions.

Results: We present the unit costs for mental health admissions and mental health community contacts. Our example, which explored the association between comorbidity and total and mean costs, suggested that comorbidly occurring conditions cost more than conditions which occur on their own.

Discussion: Our unit costs, and the materials associated with them, have been published in a freely available form governed by a provision termed `Copyleft'. They provide a valuable resource for researchers wanting to explore economic questions in mental health.

Implications for Health Policies: Our unit costs provide an important resource to inform economic debate in mental health in Australia, particularly in the area of priority-setting. In the past, such debate has largely been based on opinion. Our unit costs provide the underpinning to strengthen the evidence-base of this debate.

Implications for Further Research: We would encourage other Australian researchers to make use of our unit costs in order to foster comparability across studies. We would also encourage Australian and international researchers to adopt the `Copyleft' principle in equivalent circumstances. Furthermore, we suggest that the provision of `Copyleft'-contingent funding to support the development of enabling resources for researchers should be considered in the planning of future large-scale collaborative survey work, both in Australia and overseas.

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The relationship between emerging trends in healthcare systems and the consequent research priorities will be explored.

Governments and policy makers in developed countries are increasingly focused on the management of chronic disease, reflecting demographic changes and shifts in the burden of disease. Systems of quality improvement and reward are increasingly based on performance in chronic disease management. There is some evidence that countries with well-developed systems of primary care, such as Australia, achieve better health outcomes at less cost. In the past 15 years, almost all developed countries have undergone some type of health care reform. There has been a major focus on reducing costs; often involving shifting services from secondary to primary care. While there are few international comparisons, most suggest a complex relationship between the strength of primary care within the overall health services system and good performance, particularly with regard to lower costs of care and particularly relevant measures of health.

Aims for 21st century health systems
What, then, are the issues which are shaping contemporary general practice in developed countries? There are several imperatives: Safety, effectiveness, patient-centredness, timeliness, efficiency and equity. A study by the Nuffield Trust (Dargie, 1999) projected the shape of healthcare for the first fifteen years of this century. The study identified six issues that need to be addressed in the process of formulating health systems policies:

• Peoples’ expectations and financial sustainability
• Demography and ageing
• Information and knowledge management
• Scientific advance and new technology
• Workforce education and training
• Systems performance and quality (efficiency, effectiveness, economy
and equity)

Each of these six issues requires innovative thinking and priority setting on the part of the health sector, such as the delivery of health services in new and creative ways. Furthermore, there is a clear need for a finely tuned research, development and evaluation strategies to match these goals.

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The Victorian Marine Mapping Project will improve knowledge on the location, spatial distribution, condition and extent of marine habitats and associated biodiversity in Victorian State waters. This information will guide informed decision making, enable priority setting, and assist in targeted natural resource management planning. This project entails benthic habitat mapping over 500 square kilometers of Victorian State waters using multibeam sonar, towed video and image classification techniques. Information collected includes seafloor topography, seafloor softness and hardness (reflectivity), and information on geology and benthic flora and fauna assemblages collectively comprising habitat. Computerized semi-automated classification techniques are also being developed to provide a cost effective approach to rapid mapping and assessment of coastal habitats.

Habitat mapping is important for understanding and communicating the distribution of natural values within the marine environment. The coastal fringe of Victoria encompasses a rich and diverse ecosystem representative of coastal waters of South-east Australia. To date, extensive knowledge of these systems is limited due to the lack of available data. Knowledge of the distribution and extent of habitat is required to target management activities most effectively, and provide the basis to monitor and report on their status in the future.

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Background : The aim of the ACE-Obesity study was to determine the economic credentials of interventions which aim to prevent unhealthy weight gain in children and adolescents. We have reported elsewhere on the modelled effectiveness of 13 obesity prevention interventions in children. In this paper, we report on the cost results and associated methods together with the innovative approach to priority setting that underpins the ACE-Obesity study.

Methods : The Assessing Cost-Effectiveness (ACE) approach combines technical rigour with 'due process' to facilitate evidence-based policy analysis. Technical rigour was achieved through use of standardised evaluation methods, a research team that assembles best available evidence and extensive uncertainty analysis. Cost estimates were based on pathway analysis, with resource usage estimated for the interventions and their 'current practice' comparator, as well as associated cost offsets. Due process was achieved through involvement of stakeholders, consensus decisions informed by briefing papers and 2nd stage filter analysis that captures broader factors that influence policy judgements in addition to cost-effectiveness results. The 2nd stage filters agreed by stakeholders were 'equity', 'strength of the evidence', 'feasibility of implementation', 'acceptability to stakeholders', 'sustainability' and 'potential for side-effects'.

Results :
The intervention costs varied considerably, both in absolute terms (from cost saving [6 interventions] to in excess of AUD50m per annum) and when expressed as a 'cost per child' estimate (from <AUD1.0 [reduction of TV advertising of high fat foods/high sugar drinks] to >AUD31,000 [laparoscopic adjustable gastric banding for morbidly obese adolescents]). High costs per child reflected cost structure, target population and/or under-utilisation.

Conclusions : The use of consistent methods enables valid comparison of potential intervention costs and cost-offsets for each of the interventions. ACE-Obesity informs policy-makers about cost-effectiveness, health impact, affordability and 2nd stage filters for important options for preventing unhealthy weight gain in children. In related articles cost-effectiveness results and second stage filter considerations for each intervention assessed will be presented and analysed.

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Community-based interventions are an important component of obesity prevention efforts. The literature provides little guidance on priority-setting for obesity prevention in communities, especially for socially and culturally diverse populations. This paper reports on the process of developing prioritized, community-participatory action plans for obesity prevention projects in children and adolescents using the ANGELO (Analysis Grid for Elements Linked to Obesity) Framework. We combined stakeholder engagement processes, the ANGELO Framework (scans for environmental barriers, targeted behaviours, gaps in skills and knowledge) and workshops with key stakeholders to create action plans for six diverse obesity prevention projects in Australia (n = 3), New Zealand, Fiji and Tonga from 2002 to 2005. Some sites included sociocultural contextual analyses in the environmental scans. Target groups were under-5-year-olds (Australia), 4–12-year-olds (Australia) and 13–18-year-olds (all four countries). Over 120 potential behavioural, knowledge, skill and environmental elements were identified for prioritization leading into each 2-day workshop. Many elements were common across the diverse cultural communities; however, several unique sociocultural elements emerged in some cultural groups which informed their action plans. Youth were actively engaged in adolescent projects, allowing their needs to be incorporated into the action plans initiating the process of ownership. A common structure for the action plan promoted efficiencies in the process while allowing for community creativity and innovation. The ANGELO is a flexible and efficient way of achieving an agreed plan for obesity prevention with diverse communities. It is responsive to community needs, combines local and international knowledge and creates stakeholder ownership of the action plan.

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Abstract This thesis set out to achieve the following objectives: (1) To identify the priorities and expectations that the Geelong community has of its public health care system. (2) To determine if there is a common view on the attributes of a just health system. (3) To consider a method of utilising the data in the determination of health care priority setting in Barwon Health. (4) To determine a model of community participation which enables ongoing input into the decision making processes of Barwon Health. The methodology involved a combination of qualitative and quantitative research. The qualitative work involved the use of focus groups that were conducted with 64 members of the Geelong community. The issues raised informed the development of the interview schedule that was the basis of the quantitative study, which surveyed a representative sample of 400 members of the Geelong community. Prior to reporting on this work, the areas of distributive justice, scarcity and community participation in health care were considered. The research found that timely access to public hospitals, emergency care and aged care services were the major priorities; for many people, the cost was less relevant than a quality service. Shorter waiting times and increased staffing levels were strongly supported. Increased taxes were nominated as the best means of financing the health system they sought. Community based services were less relevant than hospital services but health education was supported. An egalitarian approach to resource distribution was favoured although the community was prepared to discriminate in favour of younger people and against older people. There was strong support for the community to be involved in decision making in the public health care system through surveys or focus groups but very little support was given to priorities being determined by politicians, administrators and to a lesser extent, medical professionals.

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♦ The comparison of disparate interventions for the prevention and management of osteoarthritis (OA) is limited by the quality and quantity of published efficacy studies and the use of disparate measures for reporting clinical trial outcomes.

♦ The “transfer to utility” technique was used to translate published trial outcomes into a health-related quality-of-life (utility) scale, creating a common metric which supported comparisons between disparate interventions.

♦ Total hip replacement (THR) and total knee replacement (TKR) surgery were the most effective treatments and also highly cost-effective, at estimated cost per quality-adjusted life-year (QALY) of $7500 for THR and $10 000 for TKR (best estimate).

♦ Other apparently highly cost-effective interventions were exercise and strength training for knee OA (< $5000/QALY), knee bracing, and use of capsaicin or glucosamine sulfate (< $10 000/QALY).

♦ The cost per QALY estimates of non-specific and COX-2 inhibitor non-steroidal anti-inflammatory drugs were affected by treatment-related deaths and highly sensitive to the discounting of life-years lost.

♦ OA interventions that have been shown to be ineffective (eg, arthroscopy) are targets for redistribution of healthcare resources.

♦ OA interventions which lack efficacy studies (eg, prevention programs) require further research to assist priority setting.

♦ The application of the Health-sector Wide model to OA demonstrates its role as an evidence-based model that can be successfully applied to identify marginal interventions — those to be expanded and contracted to reduce the expected burden of disease, within current healthcare resources.

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This article introduces the role economics can play in deciding whether programs designed to prevent mental disorders, which carry large disease and economic burdens, are a worthwhile use of limited healthcare resources. Fortunately, preventive interventions for mental disorders exist; however, which interventions should be financed is a common issue facing decision makers, and economic evaluation can provide answers. Unfortunately, existing economic evaluations of preventive interventions have limited applicability to local healthcare contexts. An approach to priority setting largely based on economic techniques— Assessing Cost-Effectiveness (ACE)—has been developed and used in Australia to answer questions regarding the economic credentials of competing interventions. Eleven preventive interventions for mental disorders and suicide, mostly psychological in nature, have been evaluated using this approach, with many meeting the criteria of good value for money. Interventions targeting the prevention of suicide, adult and childhood depression, childhood anxiety, and early psychosis have particular merit.