61 resultados para Economic Benefits

em Deakin Research Online - Australia


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Background: Physical inactivity has major impacts on health and productivity. Our aim was to estimate the health and economic benefits of reducing the prevalence of physical inactivity in the 2008 Australian adult population. The economic benefits were estimated as ‘opportunity cost savings’, which represent resources utilized in the treatment of preventable disease that are potentially available for re-direction to another purpose from fewer incident cases of disease occurring in communities.
Methods: Simulation models were developed to show the effect of a 10% feasible, reduction target for physical inactivity from current Australian levels (70%). Lifetime cohort health benefits were estimated as fewer incident cases of inactivity-related diseases; deaths; and Disability Adjusted Life Years (DALYs) by age and sex. Opportunity costs were estimated as health sector cost impacts, as well as paid and unpaid production gains and leisure impacts from fewer disease events associated with reduced physical inactivity. Workforce production gains were estimated by comparing surveyed participation and absenteeism rates of physically active and inactive adults, and valued using the friction cost approach. The impact of an improvement in health status on unpaid household production and leisure time were modeled from time use survey data, as applied to the exposed and non-exposed population subgroups and valued by suitable proxy. Potential costs associated with interventions to increase physical activity were not included. Multivariable uncertainty analyses and univariate sensitivity analyses were undertaken to provide information on the strength of the conclusions.
Results: A 10% reduction in physical inactivity would result in 6,000 fewer incident cases of disease, 2,000 fewer deaths, 25,000 fewer DALYs and provide gains in working days (114,000), days of home-based production (180,000) while conferring a AUD96 million reduction in health sector costs. Lifetime potential opportunity cost savings in workforce production (AUD12 million), home-based production (AUD71 million) and leisure-based production (AUD79 million) was estimated (total AUD162 million 95% uncertainty interval AUD136 million, AUD196 million).
Conclusions: Opportunity cost savings and health benefits conservatively estimated from a reduction in population-level physical inactivity may be substantial. The largest savings will benefit individuals in the form of unpaid production and leisure gains, followed by the health sector, business and government.

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BACKGROUND: Intimate partner violence (IPV) has important impacts on the health of women in society. Our aim was to estimate the health and economic benefits of reducing the prevalence of IPV in the 2008 Australian female adult population. METHODS: Simulation models were developed to show the effect of a 5 percentage point absolute feasible reduction target in the prevalence of IPV from current Australian levels (27%). IPV is not measured in national surveys. Levels of psychological distress were used as a proxy for exposure to IPV since psychological conditions represent three-quarters of the disease burden from IPV. Lifetime cohort health benefits for females were estimated as fewer incident cases of violence-related disease and injury; deaths; and Disability Adjusted Life Years (DALYs). Opportunity cost savings were estimated for the health sector, paid and unpaid production and leisure from reduced incidence of IPV-related disease and deaths. Workforce production gains were estimated by comparing surveyed participation and absenteeism rates of females with moderate psychological distress (lifetime IPV exposure) against high or very high distress (current IPV exposure), and valued using the friction cost approach (FCA). The impact of improved health status on unpaid household production and leisure time were modelled from time use survey data. Potential costs associated with interventions to reduce IPV were not considered. Multivariable uncertainty analyses and univariable sensitivity analyses were undertaken. RESULTS: A 5 percentage point absolute reduction in the lifetime prevalence of IPV in the 2008 Australian female population was estimated to produce 6000 fewer incident cases of disease/injury, 74 fewer deaths, 5000 fewer DALYs lost and provide gains of 926,000 working days, 371,000 days of home-based production and 428,000 leisure days. Overall, AUD371 million in opportunity cost savings could be achievable. The greatest economic savings would be home-based production (AUD147 million), followed by leisure time (AUD98 million), workforce production (AUD94 million) and reduced health sector costs (AUD38 million). CONCLUSIONS: This study contributes new knowledge about the economic impact of IPV in females. The findings provide evidence of large potential opportunity cost savings from reducing the prevalence of IPV and reinforce the need to reduce IPV in Australia, and elsewhere.

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The common starling (Sturnus vulgaris) has a proven invasion history in many countries, and at a continental scale in North America and Australasia. In Australia, starlings are firmly established throughout the eastern states and Tasmania. Incursions of starlings into Western Australia (WA) represent a significant threat to this State’s agricultural, public amenity and biodiversity assets. We present models of starling population dynamics that incorporate environmental and control effort variability. We incorporate knowledge of starling ecology with economic data to assess the potential economic cost of starlings establishing in WA, evaluating the cost–benefits for each management scenario. We calculated starling population size will approach carrying capacity in WA within as little as 30 years if left unchecked. A population of this size could cost the WA economy up to $43.7 million annually in 2011/2012 dollars. Over a 50 year horizon, the conservative benefit–cost ratio for ongoing detection and control at the current level of expenditure is 6.03:1. However, even under current levels of control, starling numbers are projected to increase to almost 11 million by 2061. Further improvements in the efficiency of starling detection and control and/or an increased level of expenditure on detection and control are required.

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Background
A large proportion of disease burden is attributed to behavioural risk factors. However, funding for public health programs in Australia remains limited. Government and non-government organisations are interested in the productivity effects on society from reducing chronic diseases. We aimed to estimate the potential health status and economic benefits to society following a feasible reduction in the prevalence of six behavioural risk factors: tobacco smoking; inadequate fruit and vegetable consumption; high risk alcohol consumption; high body mass index; physical inactivity; and intimate partner violence.
Methods
Simulation models were developed for the 2008 Australian population. A realistic reduction in current risk factor prevalence using best available evidence with expert consensus was determined. Avoidable disease, deaths, Disability Adjusted Life Years (DALYs) and health sector costs were estimated. Productivity gains included workforce (friction cost method), household production and leisure time. Multivariable uncertainty analyses and correction for the joint effects of risk factors on health status were undertaken. Consistent methods and data sources were used.
Results
Over the lifetime of the 2008 Australian adult population, total opportunity cost savings of AUD2,334 million (95% Uncertainty Interval AUD1,395 to AUD3,347; 64% in the health sector) were found if feasible reductions in the risk factors were achieved. There would be 95,000 fewer DALYs (a reduction of about 3.6% in total DALYs for Australia); 161,000 less new cases of disease; 6,000 fewer deaths; a reduction of 5 million days in workforce absenteeism; and 529,000 increased days of leisure time.
Conclusions
Reductions in common behavioural risk factors may provide substantial benefits to society. For example, the total potential annual cost savings in the health sector represent approximately 2% of total annual health expenditure in Australia. Our findings contribute important new knowledge about productivity effects, including the potential for increased household and leisure activities, associated with chronic disease prevention. The selection of targets for risk factor prevalence reduction is an important policy decision and a useful approach for future analyses. Similar approaches could be applied in other countries if the data are available.

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Objectives:
To report if there is a difference in costs from a societal perspective between adults receiving rehabilitation in an inpatient rehabilitation setting versus an alternative setting. If there are cost differences, to report whether opting for the least expensive program setting adversely affects patient outcomes.

Data Sources:
Electronic databases from the earliest possible date until May 2011. All languages were included.

Study Selection
Multiple reviewers identified randomized controlled trials with a full economic evaluation that compared adult inpatient rehabilitation with an alternative. There were 29 included trials with 6746 participants.

Data Extraction
Multiple observers extracted data independently. Trial appraisal included a risk of bias assessment and a checklist to report the strength of the economic evaluation.

Data Synthesis:
Results were synthesized using standardized mean differences (SMDs) and meta-analyses for the primary outcome of cost. The Grading of Recommendations Assessment, Development, and Evaluation was applied to assess for risk of bias across studies for meta-analyses. There was high-quality evidence that cost was significantly reduced for rehabilitation in the home versus inpatient rehabilitation in a meta-analysis of 732 patients poststroke (pooled SMD [δ]=−.28; 95% confidence interval [CI], −.47 to −.09), without compromise to patient outcomes. Results of individual trials in other patient groups (orthopedic, rheumatoid arthritis, and geriatric) receiving rehabilitation in the home or community were generally consistent with the meta-analysis. There was moderate quality evidence that cost was significantly reduced for inpatient rehabilitation (stroke unit) versus general acute care in a meta-analysis of 463 patients poststroke (δ=.31; 95% CI, .15–.48), with improvement to patient outcomes. These results were not replicated in 2 individual trials with a geriatric and a mixed cohort, where costs did not differ between general acute care and inpatient rehabilitation. Three of the 4 individual trials, inclusive of a stroke or orthopedic population, reported less cost for an intensive inpatient rehabilitation program compared with usual inpatient rehabilitation. Sensitivity analysis included a health service perspective and varied inflation rates with no change to the significant findings of the meta-analyses.

Conclusions:
Based on this systematic review and meta-analyses, a single rehabilitation service may not provide health economic benefits for all patient groups and situations. For some patients, inpatient rehabilitation may be the most cost-effective method of providing rehabilitation; yet, for other patients, rehabilitation in the home or community may be the most cost-effective model of care. To achieve cost-effective outcomes, the ideal combination of rehabilitation services and patient inclusion criteria, as well as further data for nonstroke populations, warrants further research.

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Using the known health impacts of physical activity (PA), levels of incidental PA in Melbourne were analysed, and after determining key behavioural associations, economic modelling estimated potential long-term health and economic benefits of changes in active transport (AT) patterns.

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The assessment of the economic benefits of cultural events is necessary to inform decision-making. In many cases cultural events are designed to attract tourists and the injection of tourist spending to a local economy is one of the drivers for hosting events. From an economic perspective, the impact of staging an event can be measured using either an expenditure multiplier or a cost benefit analysis (CBA) approach. One of the difficulties with CBA is the data required to estimate the relevant benefit function. This paper addresses this limitation by illustrating how benefit functions can be parameterised with minimal data, thereby enhancing the possibility of using CBA. Our approach is illustrated with a case study of an exhibition held by a regional community in Australia. The case study compares economic impact assessments and finds using benefit estimates as we propose provides a useful method of estimating benefits with limited data.

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Education and training institutions from schools through to universities have a vital role in supporting development in regional Australia. The interaction between these institutions and their rural communities influences the social capital of the community and the extent to which the community is a learning community, willing and able to manage change to the community’s advantage.

There are benefits to be had from a collaborative approach to planning and delivering training. This approach is consistent with theories of social capital that emphasise the crucial part played by networks, values and trust in generating superior outcomes for individuals, communities and regions. Research has found that education and training is most effective in building social capital and learning communities were there is attention to customising or targeting education and training provision to local needs. The key to matching provision with local needs, particularly in the more rural and remote areas, is collaboration and partnerships. Partners can be regional organisations, other educational institutions, businesses and government. The factors that enhance the effectiveness of the collaborations and partnerships are the elements of social capital: networks, shared values and trust, and enabling leadership.

Networks are most effective where there were opportunities and structures for interaction, which can be termed interactional infrastructure, that foster networks within the region, and networks that extended outside the region. Interactional infrastructure includes regional forums, committee structures, consultative processes and opportunities for informal discussion addressing the issues of education, training and employment in a community or region. Better outcomes are evident when there is an interactional infrastructure that is resourced with financial, physical and human resources of sufficient quantity and quality. Collaborations provide access to a greater range of external resources through extended external networks. Effective networks and shared visions, values and trust among the partners in a collaboration, are fostered by enabling leaders. Educational institutions are well placed to supply the ‘human infrastructure’ that makes collaborations and partnerships work, including enabling leadership.

Attention to factors associated with the quality of social capital, especially interactional infrastructure including leadership, shared vision and values and networks within and external to the community, can be expected to improve the effectiveness of education and training outcomes. More importantly, a collaborative approach to planning for education and training in rural regions will build the capacity of regions and their constituent communities to develop and change by building social capital resources. Leadership is an important driver of processes that build community and regional capacity and ultimately produce social and economic benefits through regional development. Educational providers in rural regions are well placed to act as enabling leaders.

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The word ‘asset’ was originally taken into the English language, from the Latin ‘ad satis’ and French ‘asez’, as a term used at law meaning sufficient estate or effects to discharge debts. It later came to be used in the sense of property available for the payment of debts. Assets were understood to be property (objects owned and rights of ownership) that could be exchanged for cash. The importance of factual knowledge of the money equivalents of property and debts, in managing mercantile affairs, was emphasised in accounting manuals during the eighteenth and nineteenth centuries. The rights of investors and creditors to factual up-to-date information about the financial state of affairs of companies, given the advent of limited liability, underscored the early company legislation that required the preparation and auditing of statements of property and debts. During the latter part of the nineteenth century the emphasis in accounting moved away from assets as exchangeable property to assets as deferred costs. Expectations took the place of observables. The abstract (expectational) notion of assets as ‘future economic benefits’ was embraced by accountants in the absence of rigorous definitions of the elements and functions of dated statements of financial position and performance. Assets are quantified financially by a heterogeneous mass of potentially inconsistent rules that, by and large, have no regard for the empirical nature of measurement. Consequently, accountants have failed to provide the community with up-to-date factual information about the financial state of affairs and performance of business entities - and, hence, with an informative basis for financial action.