The economic burden of ill health due to diet, physical inactivity, smoking, alcohol and obesity in the UK : an update to 2006-07 NHS costs

Background: Estimates of the economic cost of risk factors for chronic disease to the NHS provide evidence for prioritization of resources for prevention and public health. Previous comparable estimates of the economic costs of poor diet, physical inactivity, smoking, alcohol and overweight/obesity were based on economic data from 1992–93.

Methods: Diseases associated with poor diet, physical inactivity, smoking, alcohol and overweight/obesity were identified. Risk factor-specific population attributable fractions for these diseases were applied to disease-specific estimates of the economic cost to the NHS in the UK in 2006–07.

Results: In 2006–07, poor diet-related ill health cost the NHS in the UK £5.8 billion. The cost of physical inactivity was £0.9 billion. Smoking cost was £3.3 billion, alcohol cost £3.3 billion, overweight and obesity cost £5.1 billion.

Conclusion: The estimates of the economic cost of risk factors for chronic disease presented here are based on recent financial data and are directly comparable. They suggest that poor diet is a behavioural risk factor that has the highest impact on the budget of the NHS, followed by alcohol consumption, smoking and physical inactivity.

Clinical and economic burden of emergency department presentations for neutropenia following outpatient chemotherapy for cancer in Victoria, Australia

Objective. To examine the clinical characteristics and financial charges associated with treating adult cancer patients receiving chemotherapy in outpatient clinics who presented to the emergency department (ED) with neutropenia.
Design and Setting. A retrospective audit was conducted across two health services involving ED episodes and subsequent hospital admissions of patients who received chemotherapy through day oncology from January 1 to December 31, 2007 and presented to the ED with neutropenia. ED data were collected from the Victorian Emergency Minimum Dataset and charges were collected from Health Information Services. Descriptive and bivariate statistics were used to describe the patient and clinical characteristics and financial outcomes, and to explore associations between these factors.
Results. In total, 200 neutropenic episodes in 159 outpatients were seen in the ED over the survey period. The mean patient age was 56.6 years (standard deviation, 13.2 years) and 47.2% were male. Overall, 70.0% of ED episodes were triaged as Australasian Triage Scale 2 (emergency). The median ED wait time was 10 minutes and the median ED length of stay was 6.8 hours. The median charge for each ED episode was $764.08 Australian dollars. The total combined ED and inpatient charge per episode was in the range of $144.27-$174,732.68, with a median charge of $5,640.87.
Conclusions. This study provides important insights into the clinical and economic burden of neutropenia from both the ED and inpatient perspectives. Alternative treatment models, such as outpatient treatment, early discharge programs or prophylactic interventions to reduce the clinical and economic burden of neutropenia on our health system, must be explored.

The burden of smoking related ill health in the UK

Background: Smoking is one of the biggest avoidable causes of morbidity and mortality in the United Kingdom. This paper quantifies the current health and economic burden of smoking in the UK. It provides comparisons with previous studies of the burden of smoking in the UK and with the costs for other chronic disease risk factors.

Methods: A systematic literature review to identify previous estimates of National Health Service costs attributable to smoking was undertaken. Information from the World Health Organization’s Global Burden of Disease Project and routinely collected mortality data were used to calculate mortality due to smoking in the UK. Population-attributable fractions for smoking-related diseases from the Global Burden of Disease Project were applied to NHS cost data to estimate direct financial costs.

Results: Previous studies estimated that smoking costs the NHS about £1.4 billion to £1.7 billion in 1991 and has been responsible for about 100 000 deaths per annum over the past 10 years. This paper estimates that the number of deaths attributable to smoking in 2005 was 109 164 (19% of all deaths, 27% deaths in men and 11% of deaths in women). Smoking was directly responsible for 12% of disability adjusted life years lost in 2002 (15.4% in men; 8.5% in women) and the direct cost to the NHS was £5.2 billion in 2005–6.

Conclusion: Smoking is still a considerable public health burden in the UK. Accurately establishing the burden in terms of death, disability and financial costs is important for informing national public health policy.

The burden of alcohol-related ill health in the United Kingdom

Background Although moderate alcohol consumption has been shown to confer a protective effect for specific diseases, current societal patterns of alcohol use impose a huge health and economic burden on modern society. This study presents a method for estimating the health and economic burden of alcohol consumption to the UK National Health Service (NHS).

Methods Previous estimates of NHS costs attributable to alcohol consumption were identified by systematic literature review. The mortality and morbidity due to alcohol consumption was calculated using information from the World Health Organization Global Burden of Disease Project and routinely collected mortality data. Direct health-care costs were derived using information on population attributable fractions for conditions related to alcohol consumption and NHS cost data.

Results We estimate that alcohol consumption was responsible for 31 000 deaths in the UK in 2005 and that alcohol consumption cost the UK NHS £3.0 billion in 2005–06. Alcohol consumption was responsible for 10% of all disability adjusted life years in 2002 (male: 15%; female: 4%) in the UK.

Conclusions Alcohol consumption is a considerable public health burden in the UK. The comparison of the health and economic burden of various lifestyle factors is essential in prioritizing and resourcing public health action.

Osteo-cise : Strong bones for life': protocol for a community-based randomised controlled trial of a multi-modal exercise and osteoporosis education program for older adults at risk of falls and fractures

Background : Osteoporosis affects over 220 million people worldwide, and currently there is no 'cure' for the disease. Thus, there is a need to develop evidence-based, safe and acceptable prevention strategies at the population level that target multiple risk factors for fragility fractures to reduce the health and economic burden of the condition.

Methods : The 'Osteo-cise: Strong Bones for Life' study will investigate the effectiveness and feasibility of a multi-component targeted exercise, osteoporosis education/awareness and behavioural change program for improving bone health and muscle function, and reducing falls risk in community-dwelling older adults at an increased risk of fracture. Men and women aged 60 years or above will participate in an 18-month randomised controlled trial comprising a 12-month structured and supervised community-based program and a 6-month 'research to practise' translational phase. Participants will be randomly assigned to either the 'Osteo-cise' intervention or a self-management control group. The intervention will comprise a multi-modal exercise program incorporating high velocity progressive resistance training, moderate impact weight-bearing exercise and high challenging balance exercises performed three times weekly at local community-based fitness centres. A behavioural change program will be used to enhance exercise adoption and adherence to the program. Community-based osteoporosis education seminars will be conducted to improve participant knowledge and understanding of the risk factors and preventative measures for osteoporosis, falls and fractures. The primary outcomes measures, to be collected at baseline, 6, 12, and 18 months, will include DXA-derived hip and spine bone mineral density measurements and functional muscle power (timed stair-climb test). Secondary outcomes measures include: MRI-assessed distal femur and proximal tibia trabecular bone micro-architecture, lower limb and back maximal muscle strength, balance and function (four square step test, functional reach test, timed up-and-go test and 30-second sit-to-stand), falls incidence and health-related quality of life. Cost-effectiveness will also be assessed.

Discussion : The findings from the Osteo-cise: Strong Bones for Life study will provide new information on the efficacy of a targeted multi-modal community-based exercise program incorporating high velocity resistance training, together with an osteoporosis education and behavioural change program for improving multiple risk factors for falls and fracture in older adults at risk of fragility fracture. Trial Registration: Australian New Zealand Clinical Trials Registry reference ACTRN12609000100291

A randomised, controlled trial of a dietary intervention for adults with major depression (the "SMILES" trial): study protocol

Despite increased investment in its recognition and treatment, depression remains a substantial health and economic burden worldwide. Current treatment strategies generally focus on biological and psychological pathways, largely neglecting the role of lifestyle. There is emerging evidence to suggest that diet and nutrition play an important role in the risk, and the genesis, of depression. However, there are limited data regarding the therapeutic impact of dietary changes on existing mental illness. Using a randomised controlled trial design, we aim to investigate the efficacy and cost-efficacy of a dietary program for the treatment of Major Depressive Episodes.

Can social dancing prevent falls in older adults? a protocol of the Dance, Aging, Cognition,Economics (DAnCE) fall prevention randomised controlled trial

Background:  Falls are one of the most common health problems among older people and pose a major economic burden on health care systems. Exercise is an accepted stand-alone fall prevention strategy particularly if it is balance training or regular participation in Tai chi. Dance shares the ‘holistic’ approach of practices such as Tai chi. It is a complex sensorimotor rhythmic activity integrating multiple physical, cognitive and social elements. Small-scale randomised controlled trials have indicated that diverse dance styles can improve measures of balance and mobility in older people, but none of these studies has examined the effect of dance on falls or cognition. This study aims to determine whether participation in social dancing: i) reduces the number of falls; and ii) improves cognitive functions associated with fall risk in older people.

Methods/design: A single-blind, cluster randomised controlled trial of 12 months duration will be conducted. Approximately 450 participants will be recruited from 24 self-care retirement villages that house at least 60 residents each in Sydney, Australia. Village residents without cognitive impairment and obtain medical clearance will be eligible. After comprehensive baseline measurements including physiological and cognitive tests and self-completed questionnaires, villages will be randomised to intervention sites (ballroom or folk dance) or to a wait-listed control using a computer randomisation method that minimises imbalances between villages based on two baseline fall risk measures. Main outcome measures are falls, prospectively measured, and the Trail Making cognitive function test. Cost-effectiveness and cost-utility analyses will be performed.

Discussion: This study offers a novel approach to balance training for older people. As a community-based approach to fall prevention, dance offers older people an opportunity for greater social engagement, thereby making a major contribution to healthy ageing. Providing diversity in exercise programs targeting seniors recognises the heterogeneity of multicultural populations and may further increase the number of taking part in exercise.

In-hospital falls and fall-related injuries: a protocol for a cost of fall study

Background:
In-hospital falls are common and pose significant economic burden on the healthcare system. To date, few studies have quantified the additional cost of hospitalisation associated with an in-hospital fall or fall-related injury. The aim of this study is to determine  the additional length of stay and hospitalisation costs associated with in-hospital falls and fall-related injuries, from the acute hospital perspective.

Methods and design: 
A multisite prospective study will be conducted as part of a larger falls-prevention clinical trial—the 6-PACK project. This study will involve 12 acute medical and surgical wards from six hospitals across Australia. Patient and admission characteristics, outcome and hospitalisation cost data will be prospectively collected on approximately 15 000 patients during the 15-month study period. A review of all inhospital fall events will be conducted using a multimodal method (medical record review and daily verbal report from the nurse unit manager, triangulated with falls recorded in the hospital incident reporting and administrative database), to ensure complete case ascertainment. Hospital clinical costing data will be used to calculate patient-level hospitalisation costs incurred by a patient during their inpatient stay. Additional hospital and hospital resource utilisation costs attributable to inhospital falls and fall-related injuries will be calculated using linear regression modelling, adjusting for a prioridefined potential confounding factors.

Discussion:
This protocol provides the detailed statement of the planned analysis. The results from this study will be used to support healthcare planning, policy making and allocation of funding relating to falls prevention within acute hospitals.

Adherence to therapeutic guidelines for patients with community-acquired pneumonia in Australian hospitals

Community-acquired pneumonia (CAP) is a significant cause of morbidity and mortality, particularly in elderly patients, and is associated with a considerable economic burden on the healthcare system. The combination of high incidence and substantial financial costs necessitate accurate diagnosis and appropriate management of patients admitted with CAP. This article will discuss the rates of adherence to clinical guidelines, the use of severity scoring tools and the appropriateness of antimicrobial prescribing for patients diagnosed with CAP. The authors maintain that awareness of national and hospital guidelines is imperative to complement the physicians' clinical judgment with evidence-based recommendations. Increased use of pneumonia severity assessment tools and greater adherence to therapeutic guidelines will enhance concordant antimicrobial prescribing for patients with CAP. A robust and multifaceted educational intervention, in combination with antimicrobial stewardship programs, may enhance compliance of CAP guidelines in clinical practice in Australia.

Consensus guidelines for implementation of quality processes to prevent invasive fungal disease and enhanced surveillance measures during hospital building works, 2014

Healthcare-associated fungal outbreaks impose a substantial economic burden on the health system and typically result in high patient morbidity and mortality, particularly in the immunocompromised host. As the population at risk of invasive fungal infection continues to grow due to the increased burden of cancer and related factors, the need for hospitals to employ preventative measures has become increasingly important. These guidelines outline the standard quality processes hospitals need to accommodate into everyday practice and at times of healthcare-associated outbreak, including the role of antifungal stewardship programmes and best practice environmental sampling. Specific recommendations are also provided to help guide the planning and implementation of quality processes and enhanced surveillance before, during and after high-risk activities, such as hospital building works. Areas in which information is still lacking and further research is required are also highlighted.

Using Twitter to learn about the autism community

Considering the raising socio-economic burden of autism spectrum disorder (ASD), timely and evidence-driven public policy decision-making and communication of the latest guidelines pertaining to the treatment and management of the disorder is crucial. Yet evidence suggests that policy makers and medical practitioners do not always have a good understanding of the practices and relevant beliefs of ASD-afflicted individuals’ carers who often follow questionable recommendations and adopt advice poorly supported by scientific data. The key goal of the present work is to explore the idea that Twitter, as a highly popular platform for information exchange, could be used as a data-mining source to learn about the population affected by ASD—their behaviour, concerns, needs, etc. To this end, using a large data set of over 11 million harvested tweets as the basis for our investigation, we describe a series of experiments which examine a range of linguistic and semantic aspects of messages posted by individuals interested in ASD. Our findings, the first of their nature in the published scientific literature, strongly motivate additional research on this topic and present a methodological basis for further work.

DeepCare: a deep dynamic memory model for predictive medicine

Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, recorded in electronic medical records, are episodic and irregular in time. We introduce DeepCare, an end-to-end deep dynamic neural network that reads medical records, stores previous illness history, infers current illness states and predicts future medical outcomes. At the data level, DeepCare represents care episodes as vectors in space, models patient health state trajectories through explicit memory of historical records. Built on Long Short-Term Memory (LSTM), DeepCare introduces time parameterizations to handle irregular timed events by moderating the forgetting and consolidation of memory cells. DeepCare also incorporates medical interventions that change the course of illness and shape future medical risk. Moving up to the health state level, historical and present health states are then aggregated through multiscale temporal pooling, before passing through a neural network that estimates future outcomes. We demonstrate the efficacy of DeepCare for disease progression modeling, intervention recommendation, and future risk prediction. On two important cohorts with heavy social and economic burden -- diabetes and mental health -- the results show improved modeling and risk prediction accuracy.

Molecular pathogenesis of H5 highly pathogenic avian influenza: the role of the haemagglutinin cleavage site motif

The emergence of H5N1 highly pathogenic avian influenza has caused a heavy socio-economic burden through culling of poultry to minimise human and livestock infection. Although human infections with H5N1 have to date been limited, concerns for the pandemic potential of this zoonotic virus have been greatly intensified following experimental evidence of aerosol transmission of H5N1 viruses in a mammalian infection model. In this review, we discuss the dominance of the haemagglutinin cleavage site motif as a pathogenicity determinant, the host-pathogen molecular interactions driving cleavage activation, reverse genetics manipulations and identification of residues key to haemagglutinin cleavage site functionality and the mechanisms of cell and tissue damage during H5N1 infection. We specifically focus on the disease in chickens, as it is in this species that high pathogenicity frequently evolves and from which transmission to the human population occurs. With >75% of emerging infectious diseases being of zoonotic origin, it is necessary to understand pathogenesis in the primary host to explain spillover events into the human population.

Can the direct medical cost of chronic disease be transferred across different countries? Using cost-of-illness studies on type 2 diabetes, epilepsy and schizophrenia as examples

OBJECTIVES: To systematically review cost of illness studies for schizophrenia (SC), epilepsy (EP) and type 2 diabetes mellitus (T2DM) and explore the transferability of direct medical cost across countries.

METHODS: A comprehensive literature search was performed to yield studies that estimated direct medical costs. A generalized linear model (GLM) with gamma distribution and log link was utilized to explore the variation in costs that accounted by the included factors. Both parametric (Random-effects model) and non-parametric (Boot-strapping) meta-analyses were performed to pool the converted raw cost data (expressed as percentage of GDP/capita of the country where the study was conducted).

RESULTS: In total, 93 articles were included (40 studies were for T2DM, 34 studies for EP and 19 studies for SC). Significant variances were detected inter- and intra-disease classes for the direct medical costs. Multivariate analysis identified that GDP/capita (p<0.05) was a significant factor contributing to the large variance in the cost results. Bootstrapping meta-analysis generated more conservative estimations with slightly wider 95% confidence intervals (CI) than the parametric meta-analysis, yielding a mean (95%CI) of 16.43% (11.32, 21.54) for T2DM, 36.17% (22.34, 50.00) for SC and 10.49% (7.86, 13.41) for EP.

CONCLUSIONS: Converting the raw cost data into percentage of GDP/capita of individual country was demonstrated to be a feasible approach to transfer the direct medical cost across countries. The approach from our study to obtain an estimated direct cost value along with the size of specific disease population from each jurisdiction could be used for a quick check on the economic burden of particular disease for countries without such data.

Adherence to a Mediterranean-style diet and effects on cognition in adults: a qualitative evaluation and systematic review of longitudinal and prospective trials

The Mediterranean-style diet (MedDiet) involves substantial intake of fruits, vegetables, and fish, and a lower consumption of dairy, red meat, and sugars. Over the past 15 years, much empirical evidence supports the suggestion that a MedDiet may be beneficial with respect to reducing the incidence of cardiovascular disease, cancer, metabolic syndrome, and dementia. A number of cross-sectional studies that have examined the impact of MedDiet on cognition have yielded largely positive results. The objective of this review is to evaluate longitudinal and prospective trials to gain an understanding of how a MedDiet may impact cognitive processes over time. The included studies were aimed at improving cognition or minimizing of cognitive decline. Studies reviewed included assessments of dietary status using either a food frequency questionnaire or a food diary assessment. Eighteen articles meeting our inclusion criteria were subjected to systematic review. These revealed that higher adherence to a MedDiet is associated with slower rates of cognitive decline, reduced conversion to Alzheimer's disease, and improvements in cognitive function. The specific cognitive domains that were found to benefit with improved Mediterranean Diet Score were memory (delayed recognition, long-term, and working memory), executive function, and visual constructs. The current review has also considered a number of methodological issues in making recommendations for future research. The utilization of a dietary pattern, such as the MedDiet, will be essential as part of the armamentarium to maintain quality of life and reduce the potential social and economic burden of dementia.