977 resultados para lost productivity costs


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Objective: To estimate the costs of health care and lost productivity attributable to overweight and obesity in New Zealand (NZ) in 2006.

Methods: A prevalence-based approach to costing was used in which costs were calculated for all cases of disease in the year 2006. Population attributable fractions (PAFs) were calculated based on the relative risks obtained from large cohort studies and the prevalence of overweight and obesity. For each disease, the PAF was multiplied by the total health care cost. The costs of lost productivity associated with premature mortality were estimated using both the Human Capital approach (HCA) and Friction Cost approach (FCA).

Results: Health care costs attributable to overweight and obesity were estimated to be NZ$686m or 4.5% of New Zealand's total health care expenditure in 2006. The costs of lost productivity using the FCA were estimated to be NZ$98m and NZ$225m using the HCA. The combined costs of health care and lost productivity using the FCA were $784m and $911m using the HCA.

Conclusion: The cost burden of overweight and obesity in NZ is considerable.

Implications: Policies and interventions are urgently needed to reduce the prevalence of obesity thereby decreasing these substantial costs.

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The modern consumer has an attitude that food safety is non-negotiable issue – the consumer simply demands food to be safe. Yet, at the same time, the modern consumer has an expectation that the food safety is the responsibility of others – the primary producer, the processing company, the supermarket, commercial food handlers and so on. Given this environment, all food animal industries have little choice but to regard food safety as a key issue. As an example, the chicken meat industry, via the two main industry funding bodies – the Rural Industries Research and Development Corporation (Chicken Meat) and the Poultry CRC – has a comprehensive research program that seeks to focus on reducing the risks of food-borne diseases at all points of the food processing chain – from the farm to the processing plant. The scale of the issue for all industries can be illustrated by an analysis of the problem of campylobacterosis – a major food-borne disease. It has been estimated that there are around 230,000 cases of campylobacterosis per year. In 1995, it was estimated that each case of food-borne campylobacterosis in the USA was costing between $(US) 350-580. Hence, a reasonable conservative estimate is that each Australian case in 2010 would result in a cost of around $500 (this includes hospital, medication and lost productivity costs). Hence, this single food-borne agent could be costing Australian society around $115 million annually. In the light of these types of estimated costs for just one food-borne pathogen, it is easy to understand the importance that all food animal industries place on food safety.

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Estimating the economic burden of injuries is important for setting priorities, allocating scarce health resources and planning cost-effective prevention activities. As a metric of burden, costs account for multiple injury consequences—death, severity, disability, body region, nature of injury—in a single unit of measurement. In a 1989 landmark report to the US Congress, Rice et al1 estimated the lifetime costs of injuries in the USA in 1985. By 2000, the epidemiology and burden of injuries had changed enough that the US Congress mandated an update, resulting in a book on the incidence and economic burden of injury in the USA.2 To make these findings more accessible to the larger realm of scientists and practitioners and to provide a template for conducting the same economic burden analyses in other countries and settings, a summary3 was published in Injury Prevention. Corso et al reported that, between 1985 and 2000, injury rates declined roughly 15%. The estimated lifetime cost of these injuries declined 20%, totalling US$406 billion, including US$80 billion in medical costs and US$326 billion in lost productivity. While incidence reflects problem size, the relative burden of injury is better expressed using costs.

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Respiratory viral infections are one of the next group of diseases likely to be targeted for prevention in childhood by the use of vaccines. To begin collecting necessary epidemiology and cost information about the illnesses caused by these viruses, we conducted a prospective cohort study in 118 Melbourne children between 12 and 71 months of age during winter and spring 2001. We were interested in calculating an average cost per episode of community-managed acute respiratory disease, in identifying the key cost drivers of such illness, and to identify the proportion of costs borne by the patient and family. There were 202 community-managed influenza-like illnesses identified between July and December 2001, generating 89 general practitioner visits, and 42 antibiotic prescriptions. The average cost of community-managed episodes (without hospitalisation) was $241 (95% CI $191 to $291), with the key cost drivers being carer time away from usual activities caring for the ill child (70% of costs), use of non-prescription medications (5.4%), and general practice visits (5.0%). The patient and family met 87per cent of total costs. The lowest average cost occurred in households from the highest income bracket. Acute respiratory illness managed in the community is common, with the responsibility for meeting the cost of episodes predominantly borne by the patient and family in the form of lost productivity. These findings have implications for preventive strategies in children, such as the individual use of, or implementation of public programs using, currently available vaccines against influenza and vaccines under development against other viral respiratory pathogens.

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Objectives
To estimate the annual costs of psychosis in Australia from societal and government perspectives and assess whether average costs per person differ by principal service provider at time of census.

Methods
Costs of psychosis encompassing health sector costs, other sector costs, and productivity losses were assessed for 2010 using a prevalence-based, bottom-up approach. Resource use data were obtained from the second Australian National Survey of Psychosis and unit costs were from government and non-government organization (NGO) sources. Costs to society were assessed by principal service provider at census: public specialized mental health services (PSMHS) and NGOs during the census month (current clients), and PSMHS in the 11 months preceding census (recent clients), and any differences were ascertained.

Results
The average annual costs of psychosis to society are estimated at $77,297 per affected individual, comprising $40,941 in lost productivity, $21,714 in health sector costs, and $14,642 in other sector costs. Health sector costs are 3.9-times higher than those for the average Australian. Psychosis costs Australian society $4.91 billion per annum, and the Australian government almost $3.52 billion per annum. There are significant differences between principal service providers for each cost category. Current PSMHS clients had the highest health sector costs overall, and the highest mental health ambulatory, inpatient, and antipsychotic medication costs specifically. NGO clients had the highest other sector costs overall and the highest NGO assistance, supported employment, and supported accommodation costs. Recent PSMHS clients had the lowest productivity losses for reduced participation and the highest costs for absenteeism and presenteeism.

Conclusions
The costs of psychosis are broad ranging and very high. Development and implementation of cost-effective prevention, treatment, and support strategies is critical to maximizing the efficiency of service delivery. A needs-based framework based on principal service provider and recency of contact may facilitate this process.

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OBJECTIVE: To estimate the costs incurred by patients during the intensive and continuation phases of the current 6-month tuberculosis (TB) regimen in Bangladesh and Tanzania, and thus identify potential benefits to patients of a shorter, 4-month treatment regimen. DESIGN: The validated Stop TB patient cost questionnaire was adapted and used in interviews with 190 patients in the continuation phase of treatment with current regimens. RESULTS: In both countries, overall patient costs were lower during 2 months of the continuation phase (US$74 in Tanzania and US$56 in Bangladesh) than during the 2 months of the intensive phase of treatment (US$150 and US$111, respectively). However, continuation phase patient costs still represented 89% and 77% of the 2-month average national income in the respective countries. Direct travel costs in some settings were kept low by local delivery system features such as community treatment observation. Lost productivity and costs for supplementary foods remained significant. CONCLUSIONS: Although it is not a straightforward exercise to determine the exact magnitude of likely savings, a shorter regimen would reduce out-of-pocket expenses incurred by patients in the most recent 2 months of the continuation phase and allow an earlier return to productive activities. © 2014 The Union.

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BACKGROUND: Trauma care is expensive. However, reliable data on the exact lifelong costs incurred by a major trauma patient are lacking. Discussion usually focuses on direct medical costs--underestimating consequential costs resulting from absence from work and permanent disability. METHODS: Direct medical costs and consequential costs of 63 major trauma survivors (ISS >13) at a Swiss trauma center from 1995 to 1996 were assessed 5 years posttrauma. The following cost evaluation methods were used: correction cost method (direct cost of restoring an original state), human capital method (indirect cost of lost productivity), contingent valuation method (human cost as the lost quality of life), and macroeconomic estimates. RESULTS: Mean ISS (Injury Severity Score) was 26.8 +/- 9.5 (mean +/- SD). In all, 22 patients (35%) were disabled, causing discounted average lifelong total costs of USD 1,293,800, compared with 41 patients (65%) who recovered without any disabilities with incurred costs of USD 147,200 (average of both groups USD 547,800). Two thirds of these costs were attributable to a loss of production whereas only one third was a result of the cost of correction. Primary hospital treatment (USD 27,800 +/- 37,800) was only a minor fraction of the total cost--less than the estimated cost of police and the judiciary. Loss of quality of life led to considerable intangible human costs similar to real costs. CONCLUSIONS: Trauma costs are commonly underestimated. Direct medical costs make up only a small part of the total costs. Consequential costs, such as lost productivity, are well in excess of the usual medical costs. Mere cost averages give a false estimate of the costs incurred by patients with/without disabilities.

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The quality of office indoor environments is considered to consist of those factors that impact the occupants according to their health and well-being and (by consequence) their productivity. Indoor Environment Quality (IEQ) can be characterized by four indicators: • Indoor air quality indicators • Thermal comfort indicators • Lighting indicators • Noise indicators. Within each indicator, there are specific metrics that can be utilized in determining an acceptable quality of an indoor environment based on existing knowledge and best practice. Examples of these metrics are: indoor air levels of pollutants or odorants; operative temperature and its control; radiant asymmetry; task lighting; glare; ambient noise. The way in which these metrics impact occupants is not fully understood, especially when multiple metrics may interact in their impacts. It can be estimated that the potential cost of lost productivity from poor IEQ may be much in excess of other operating costs of a building. However, the relative productivity impacts of each of the four indicators is largely unknown. The CRC Project ‘Regenerating Construction to Enhance Sustainability’ has a focus on IEQ impacts before and after building refurbishment. This paper provides an overview of IEQ impacts and criteria and the implementation of a CRC project that is currently researching these factors during the refurbishment of a Melbourne office building. IEQ measurements and their impacts will be reported in a future paper

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The quality of office indoor environments is considered to consist of those factors that impact occupants according to their health and well-being and (by consequence) their productivity. Indoor Environment Quality (IEQ) can be characterized by four indicators: • Indoor air quality indicators • Thermal comfort indicators • Lighting indicators • Noise indicators. Within each indicator, there are specific metrics that can be utilized in determining an acceptable quality of an indoor environment based on existing knowledge and best practice. Examples of these metrics are: indoor air levels of pollutants or odorants; operative temperature and its control; radiant asymmetry; task lighting; glare; ambient noise. The way in which these metrics impact occupants is not fully understood, especially when multiple metrics may interact in their impacts. While the potential cost of lost productivity from poor IEQ has been estimated to exceed building operation costs, the level of impact and the relative significance of the above four indicators are largely unknown. However, they are key factors in the sustainable operation or refurbishment of office buildings. This paper presents a methodology for assessing indoor environment quality (IEQ) in office buildings, and indicators with related metrics for high performance and occupant comfort. These are intended for integration into the specification of sustainable office buildings as key factors to ensure a high degree of occupant habitability, without this being impaired by other sustainability factors. The assessment methodology was applied in a case study on IEQ in Australia’s first ‘six star’ sustainable office building, Council House 2 (CH2), located in the centre of Melbourne. The CH2 building was designed and built with specific focus on sustainability and the provision of a high quality indoor environment for occupants. Actual IEQ performance was assessed in this study by field assessment after construction and occupancy. For comparison, the methodology was applied to a 30 year old conventional building adjacent to CH2 which housed the same or similar occupants and activities. The impact of IEQ on occupant productivity will be reported in a separate future paper

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Low back pain is an increasing problem in industrialised countries and although it is a major socio-economic problem in terms of medical costs and lost productivity, relatively little is known about the processes underlying the development of the condition. This is in part due to the complex interactions between bone, muscle, nerves and other soft tissues of the spine, and the fact that direct observation and/or measurement of the human spine is not possible using non-invasive techniques. Biomechanical models have been used extensively to estimate the forces and moments experienced by the spine. These models provide a means of estimating the internal parameters which can not be measured directly. However, application of most of the models currently available is restricted to tasks resembling those for which the model was designed due to the simplified representation of the anatomy. The aim of this research was to develop a biomechanical model to investigate the changes in forces and moments which are induced by muscle injury. In order to accurately simulate muscle injuries a detailed quasi-static three dimensional model representing the anatomy of the lumbar spine was developed. This model includes the nine major force generating muscles of the region (erector spinae, comprising the longissimus thoracis and iliocostalis lumborum; multifidus; quadratus lumborum; latissimus dorsi; transverse abdominis; internal oblique and external oblique), as well as the thoracolumbar fascia through which the transverse abdominis and parts of the internal oblique and latissimus dorsi muscles attach to the spine. The muscles included in the model have been represented using 170 muscle fascicles each having their own force generating characteristics and lines of action. Particular attention has been paid to ensuring the muscle lines of action are anatomically realistic, particularly for muscles which have broad attachments (e.g. internal and external obliques), muscles which attach to the spine via the thoracolumbar fascia (e.g. transverse abdominis), and muscles whose paths are altered by bony constraints such as the rib cage (e.g. iliocostalis lumborum pars thoracis and parts of the longissimus thoracis pars thoracis). In this endeavour, a separate sub-model which accounts for the shape of the torso by modelling it as a series of ellipses has been developed to model the lines of action of the oblique muscles. Likewise, a separate sub-model of the thoracolumbar fascia has also been developed which accounts for the middle and posterior layers of the fascia, and ensures that the line of action of the posterior layer is related to the size and shape of the erector spinae muscle. Published muscle activation data are used to enable the model to predict the maximum forces and moments that may be generated by the muscles. These predictions are validated against published experimental studies reporting maximum isometric moments for a variety of exertions. The model performs well for fiexion, extension and lateral bend exertions, but underpredicts the axial twist moments that may be developed. This discrepancy is most likely the result of differences between the experimental methodology and the modelled task. The application of the model is illustrated using examples of muscle injuries created by surgical procedures. The three examples used represent a posterior surgical approach to the spine, an anterior approach to the spine and uni-lateral total hip replacement surgery. Although the three examples simulate different muscle injuries, all demonstrate the production of significant asymmetrical moments and/or reduced joint compression following surgical intervention. This result has implications for patient rehabilitation and the potential for further injury to the spine. The development and application of the model has highlighted a number of areas where current knowledge is deficient. These include muscle activation levels for tasks in postures other than upright standing, changes in spinal kinematics following surgical procedures such as spinal fusion or fixation, and a general lack of understanding of how the body adjusts to muscle injuries with respect to muscle activation patterns and levels, rate of recovery from temporary injuries and compensatory actions by other muscles. Thus the comprehensive and innovative anatomical model which has been developed not only provides a tool to predict the forces and moments experienced by the intervertebral joints of the spine, but also highlights areas where further clinical research is required.

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Objectives The increasing prevalence of overweight and obesity worldwide continues to compromise population health and creates a wider societal cost in terms of productivity loss and premature mortality. Despite extensive international literature on the cost of overweight and obesity, findings are inconsistent between Europe and the USA, and particularly within Europe. Studies vary on issues of focus, specific costs and methods. This study aims to estimate the healthcare and productivity costs of overweight and obesity for the island of Ireland in 2009, using both top-down and bottom-up approaches.

Methods Costs were estimated across four categories: healthcare utilisation, drug costs, work absenteeism and premature mortality. Healthcare costs were estimated using Population Attributable Fractions (PAFs). PAFs were applied to national cost data for hospital care and drug prescribing. PAFs were also applied to social welfare and national mortality data to estimate productivity costs due to absenteeism and premature mortality.

Results The healthcare costs of overweight and obesity in 2009 were estimated at €437 million for the Republic of Ireland (ROI) and €127.41 million for NI. Productivity loss due to overweight and obesity was up to €865 million for ROI and €362 million for NI. The main drivers of healthcare costs are cardiovascular disease, type II diabetes, colon cancer, stroke and gallbladder disease. In terms of absenteeism, low back pain is the main driver in both jurisdictions, and for productivity loss due to premature mortality the primary driver of cost is coronary heart disease.

Conclusions The costs are substantial, and urgent public health action is required in Ireland to address the problem of increasing prevalence of overweight and obesity, which if left unchecked will lead to unsustainable cost escalation within the health service and unacceptable societal costs.

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RESUMO - A morbilidade associada às lesões músculoesqueléticas ligadas ao trabalho (LMELT) origina uma elevada perda de produtividade (absentismo e presentismo) em organizações de saúde, o que induz um substantivo impacto (custo) económico. Nesse contexto, os profissionais de saúde, como grupo vulnerável à ocorrência de LMELT, nomeadamente aqueles que mobilizam os doentes diariamente, apresentam elevadas taxas de acidentes de trabalho com absentismo. Considerando a importância do capital humano em saúde e tendo em conta o contexto actual de contenção da despesa no sector da saúde português, o despiste de situações de perda de produtividade e seu impacto económico em instituições de saúde, assume um papel fundamental na gestão dessas organizações. O presente estudo teve como objetivo avaliar o impacto (custo) das LMELT por acidente de trabalho em enfermeiros e assistentes operacionais do CMRA durante o período de 2009 a 2013. Partindo da identificação dos acidentes de trabalho (AT) ocorridos nestes grupos profissionais entre 2009 e 2013, da lesão musculoesquelética resultante e do absentismo registado os participantes no estudo responderam aos itens da escala WQL-8 e SPS-6, para se determinar também os níveis de presentismo. Este estudo adotou a metodologia do capital humano para estimar os custos indiretos ou perda de produtividade das LMELT. Constatou-se que são as transferências a maior causa das LMELT, com uma sintomatologia mais prevalente na região lombar. Existe perda de produtividade nesta instituição entre 2009 e 2013 com um custo total estimado em 222.015,98€, absentismo e presentismo, sendo a Distração Evitada a dimensão que apresenta maiores valores.