Assistive technology costs and outcomes

Assistive technologies (AT or aids and equipment) are a key intervention used by occupational therapists and others to minimise the impact of disability or the effects of ageing upon life participation. Our capacity to provide optimal AT is however subject to pragmatic factors such as the availability of public funding and the complexities of government policy and service provision. The Equipping Inclusion Studies conducted in Victoria between 2008 and 2010 were designed to encompass both health sector and individual perspectives on the effectiveness of AT as it is currently delivered, compared with optimal delivery.

Costs of psychosis in 2010: findings from the second Australian national survey of psychosis

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.

Assistive technology costs and outcomes

Assistive technologies (AT or aids and equipment) are a key intervention used by occupational therapists and others to minimise the impact of disability or the effects of ageing upon life participation. Our capacity to provide optimal AT is however subject to pragmatic factors such as the availability of public funding and the complexities of government policy and service provision. The Equipping Inclusion Studies conducted in Victoria between 2008 and 2010 were designed to encompass both health sector and individual perspectives on the effectiveness of AT as it is currently delivered, compared with optimal delivery.

Get fact: were there really 50,000 boat arrivals a year under Labor?

Tony Abbott has claimed that before he “stopped the boats”, they were coming in at a rate of 50,000 a year. Is that true? David Tittensor, a research fellow to the UNESCO Chair, with Deakin’s Centre for Citizenship and Globalisation, checks the claim.

Working hours in supply chain Chinese and Thai factories: evidence from the fair labor association's 'soccer project'

This article examines the determinants of working excessive hours, defined as working in excess of 60 hours per week or for more than six consecutive days, in Chinese and Thai supply chain factories. We use a matched employer-employee dataset collected from 15 Chinese and Thai footwear and sporting apparel supply chain factories, which supply international brands. Matched employer-employee data allow us to examine the effect of worker and firm characteristics on hours worked. We find that in addition to the demographic and human capital characteristics of workers, firm-level characteristics and worker awareness of how to refuse overtime are important in explaining variation in hours worked. © John Wiley & Sons Ltd/London School of Economics 2011.