Individual and national financial impacts of informal caring for people with mental illness in Australia, projected to 2030.

BACKGROUND: Mental illness has a significant impact not only on patients, but also on their carers' capacity to work. AIMS: To estimate the costs associated with lost labour force participation due to the provision of informal care for people with mental illness in Australia, such as income loss for carers and lost tax revenue and increased welfare payments for government, from 2015 to 2030. METHOD: The output data of a microsimulation model Care&WorkMOD were analysed to project the financial costs of informal care for people with mental illness, from 2015 to 2030. Care&WorkMOD is a population-representative microsimulation model of the Australian population aged between 15 and 64 years, built using the Australian Bureau of Statistics Surveys of Disability, Ageing and Carers data and the data from other population-representative microsimulation models. RESULTS: The total annual national loss of income for all carers due to caring for someone with mental illness was projected to rise from AU$451 million (£219.6 million) in 2015 to AU$645 million (£314 million) in 2030 in real terms. For the government, the total annual lost tax revenue was projected to rise from AU$121 million (£58.9 million) in 2015 to AU$170 million (£82.8 million) in 2030 and welfare payments to increase from AU$170 million (£82.8 million) to AU$220 million (£107 million) in 2030. CONCLUSIONS: The costs associated with lost labour force participation due to the provision of informal care for people with mental illness are projected to increase for both carers and government, with a widening income gap between informal carers and employed non-carers, putting carers at risk of increased inequality.

Informal caring for back pain: overlooked costs of back pain and projections to 2030.

This study models the economic costs of informal caring for people with back pain, using a microsimulation model, Care&WorkMOD, from 2015 to 2030. Care&WorkMOD was based on 3 national Australian Surveys of Disability, Ageing and Carers (2003, 2009, 2012) data sets for individuals aged 15 to 64 years. Estimated national income loss due to caring for people with back pain was AU$258 million in 2015, increasing to $398 million in 2030 (54% increase). Lost income tax revenue to the Australian government due to informal care of people with back pain was estimated to be AU$78 million in 2015, increasing to AU$118 million in 2030 (50% increase), and additional welfare payments were estimated to rise from $132 million in 2015 to AU$180 in 2030 (36% increase). Larger growth in lost income, compared with the increase in welfare payments, means that there would be an increasing income gap between those out of the labour force providing informal care and noncarers who are in the labour force, leading to increased inequality. Informal carers are defined as providers of informal, unpaid assistance to someone with a health condition, for at least 6 months. Informal carers of people with back pain who are out of the labour force incur substantial economic costs. Furthermore, back pain is a large economic burden on national governments. Policies addressing back pain prevention and treatment, and supporting carers, may offset government welfare expenditure, while improving the socioeconomic well-being of carers and patients.

Prevalence and characteristics of energy intake under-reporting among Australian adults in 1995 and 2011 to 2012.

AIM: Misreporting of energy intake is a common source of measurement error found in dietary surveys, resulting in biased estimates and a reduction in statistical power. The present study aims to refine the conventional cut-off methods and to examine the extent to which Australian adults misreport their energy intake, and the characteristics of under-reporters between two time points. METHODS: A revised Goldberg cut-off approach was used to identify those who reported implausible intake amounts in a secondary analysis of two large cross-sectional surveys. Identified low energy reporters were then used as the outcome variable in Poisson regressions to examine association with sex, age, body mass index (BMI), weight perceptions, education, relative household income, geographic remoteness and relative socioeconomic disadvantage. RESULTS: The prevalence of under-reporting increased from 32% in 1995 to 41% in 2012, most of which can be attributed to an increase in men. Under-reporting has a positive association with BMI and relative socioeconomic disadvantage, but an inverse association with age, education, relative household income and residence in inner regional areas. CONCLUSIONS: Under-reporting of energy intake is high in Australian adults, and appears have worsened over time in men, which could be partly explained by the upward trend in obesity. The use of conventional Goldberg method to identify under-reporters can greatly underestimate the prevalence of under-reporting, future studies should consider selecting a lower critical value to improve accuracy.

Economic costs of informal care for people with chronic diseases in the community: Lost income, extra welfare payments, and reduced taxes in Australia in 2015-2030.

We estimated the economic costs of informal care in the community from 2015 to 2030, using an Australian microsimulation model, Care&WorkMOD. The model was based on data from three Surveys of Disability, Ageing, and Carers (SDACs) for the Australian population aged 15-64 years old. Estimated national income lost was AU$3.58 billion in 2015, increasing to $5.33 billion in 2030 (49% increase). Lost tax payments were estimated at AU$0.99 billion in 2015, increasing to AU$1.44 billion in 2030 (45% increase), and additional welfare payments were expected to rise from $1.45 billion in 2015 to AU$1.94 in 2030 (34% increase). There are substantial economic costs both to informal carers and the government due to carers being out of the labour-force to provide informal care for people with chronic diseases. Health and social policies supporting carers to remain in the labour force may allow governments to make substantial savings, while improving the economic situation of carers.

Cost-effectiveness of interventions for reducing road traffic injuries related to driving under the influence of alcohol.

OBJECTIVE: To determine the cost-effectiveness of interventions to reduce road traffic injuries caused by driving under the influence of alcohol in Thailand. METHODS: We used generalized cost-effectiveness analysis and included costs from a health sector perspective. The model considered road traffic crash victims who were injured, disabled, or died. We obtained proportions of alcohol-related crashes from the Thai Injury Surveillance system. Intervention effectiveness was derived from published reviews and a study in one province of Thailand. Random breath testing, selective breath testing, and mass media campaigns, both current and intervention scenarios, were compared with a "do-nothing" scenario. We calculated intervention costs and cost offsets of prevented treatment costs in 2004 Thai baht (US $1 = 41 baht) and measured benefits in terms of disability-adjusted life-years averted. Interventions with incremental cost-effectiveness ratios below 110,000 Thai baht (1×gross domestic product per capita) per disability-adjusted life-year (US $2,680) were considered very cost-effective. RESULTS: Compared with doing nothing, mass media campaigns, random breath testing, and selective breath testing are all cost saving. When averted treatment costs are ignored and only intervention costs are included, all three interventions are very cost-effective, with incremental cost-effectiveness ratios of 10,300, 14,300 and 13,000 baht/disability-adjusted life-year, respectively. The current mix of mass media campaigns and sobriety checkpoints is therefore also cost-effective, but underinvestment in checkpoints limits its overall effect. CONCLUSIONS: A greater intensity of conducting sobriety checkpoints in Thailand is recommended to complement the investment in mass media campaigns. Together these interventions have the potential to reduce the burden of alcohol-related road traffic injuries by 24%.

Cost-effectiveness of a telephone-delivered intervention for physical activity and diet.

BACKGROUND: Given escalating rates of chronic disease, broad-reach and cost-effective interventions to increase physical activity and improve dietary intake are needed. The cost-effectiveness of a Telephone Counselling intervention to improve physical activity and diet, targeting adults with established chronic diseases in a low socio-economic area of a major Australian city was examined. METHODOLOGY/PRINCIPAL FINDINGS: A cost-effectiveness modelling study using data collected between February 2005 and November 2007 from a cluster-randomised trial that compared Telephone Counselling with a "Usual Care" (brief intervention) alternative. Economic outcomes were assessed using a state-transition Markov model, which predicted the progress of participants through five health states relating to physical activity and dietary improvement, for ten years after recruitment. The costs and health benefits of Telephone Counselling, Usual Care and an existing practice (Real Control) group were compared. Telephone Counselling compared to Usual Care was not cost-effective ($78,489 per quality adjusted life year gained). However, the Usual Care group did not represent existing practice and is not a useful comparator for decision making. Comparing Telephone Counselling outcomes to existing practice (Real Control), the intervention was found to be cost-effective ($29,375 per quality adjusted life year gained). Usual Care (brief intervention) compared to existing practice (Real Control) was also cost-effective ($12,153 per quality adjusted life year gained). CONCLUSIONS/SIGNIFICANCE: This modelling study shows that a decision to adopt a Telephone Counselling program over existing practice (Real Control) is likely to be cost-effective. Choosing the 'Usual Care' brief intervention over existing practice (Real Control) shows a lower cost per quality adjusted life year, but the lack of supporting evidence for efficacy or sustainability is an important consideration for decision makers. The economics of behavioural approaches to improving health must be made explicit if decision makers are to be convinced that allocating resources toward such programs is worthwhile. TRIAL REGISTRATION: This paper uses data collected in a previous clinical trial registered at the Australian Clinical Trials Registry, Australian New Zealand Clinical Trials Registry: Anzcrt.org.au ACTRN012607000195459.