21 research outputs found

    National Study of Occupational Health and Safety in Australian Residential Aged Care Services

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    1 page(s

    Cultural impact on access to elder care

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    11 page(s

    Ownership of residential aged care facilities in Australia

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    Market failure exists in the provision of residential aged care services in Australia due to imperfection of competition that arises out of government actions. The Commonwealth Government has the exclusive right to grant provider rights and control over the number of beds that will be funded to suppliers. This results in making competition in the provision of the service less than perfect. Further imperfection occurs, with the regulation of pricing with the government providing most of the revenue for the provision of services. This paper uses primary national data collected for residential aged care facilities in late 2004 to test the significance of ownership in the design and implementation of occupational health and safety management systems. As part of this paper, the importance of other factors in determining the implementation of these systems was also examined. This study finds that ownership is significant using logistic regression. The results from logistic regression were broadly consistent with those from preliminary analyses. Relatively fewer for-profit facilities operated in less than highly accessible regions and were more likely in larger sized compared to those not-forprofit. This is going to have important future impact on the availability of facilities in rural and remote regions. Increasingly not-for-profit operators are closing their facilities or moving away from the provision of aged care and they may not be necessarily replaced with for-profit providers.24 page(s

    Significance of ownership of aged care facilities in Australia

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    13 page(s

    Socio-demographic predictors of residential fire and unwillingness to call the fire service in New South Wales

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    In most industrialised countries, the majority of fire-related deaths and injuries occur in the home. Australia has implemented fire prevention programs and strategies, including the use of smoke alarms, to minimise this burden. The number of reported house fires has declined over the past decade. However, there is a growing recognition that unreported fires are important in the estimation of total fire hazards and their associated injuries. This current study used data from the 2014 New South Wales (NSW) Population Health Survey, a yearly telephone survey, consisting of 14,732 survey respondents. Univariate and multiple binary logistic regression models were conducted to examine predictors of residential fire and (un)willingness to call the fire service in the event of a residential fire. The proportion of respondents who experienced residential fires in NSW was 10% (95% confidence interval [CI]: 9.3, 10.8). The proportion of respondents who were willing to call the fire service was 3.1% (95% CI: 2.7%, 3.6%) and that of respondents unwilling to call was 6.9% (95% CI: 6.3%, 7.6%). Multivariate analyses revealed that respondents spoke another language in addition to English were significantly less likely to have experienced a home fire (odds ratio [OR] = 0.46; 95% CI: 0.32, 0.65, p < 0.001) and significantly less likely to call the fire service (OR = 0.34; 95% CI: 0.21, 0.54, p < 0.001), compared with those who only spoke English at home. The results in this study will inform Fire & Rescue NSW's ongoing development of appropriate interventions and awareness-raising programs about residential fire prevention

    Factors Associated with Home Fire Escape Plans in New South Wales: Multinomial Analysis of High-Risk Individuals and New South Wales Population

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    The preparation and practice of home-escape plans are important strategies for individuals and families seeking to reduce and/or prevent fire-related injury or death. The aim of this study was to assess the prevalence of and factors associated with, home-escape plans in the state of New South Wales (NSW), Australia. The study used data from two surveys&#8212;a 2016 fire safety attitudes and behaviour survey administered to high-risk individuals (n = 296) and a 2013 NSW health survey covering 13,027 adults aged 16 years and above. It applied multinomial logistic regression analyses to these data to identify factors associated with having a written home-fire escape plan, having an unwritten home-fire escape plan and not having any home-fire escape plan. The prevalence of written home-escape plans was only 4.3% (95% CI: 2.5, 7.5) for the high-risk individuals and 7.9% (95% confidence interval [CI]: 7.3, 8.6) for the entire NSW population. The prevalence of unwritten escape plans was 44.6% (95% CI: 38.8, 50.5) for the high-risk individuals and 26.2% (95% CI: 25.1, 27.2) for the NSW population. The prevalence of no-escape plan at all was 51.1% (95% CI: 45.2, 56.9) for the high-risk individuals and 65.9% (95% CI: 64.8, 67.1) for the NSW population. After adjusting for other covariates, the following factors were found to be significantly associated with unwritten-escape plan and no-escape plan prevalence: speaking only the English language at home, practicing home-fire escape plans infrequently, being married, being female and testing smoke alarms less often. Future fire interventions should target people who speak only English at home and people who test their smoke alarms infrequently. These interventions should be accompanied by research aimed at reversing the trend toward use of more flammable materials in homes

    Factors Influencing the Incidence of Obesity in Australia: A Generalized Ordered Probit Model

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    The increasing health costs of and the risks factors associated with obesity are well documented. From this perspective, it is important that the propensity of individuals towards obesity is analyzed. This paper uses longitudinal data from the Household Income and Labour Dynamics in Australia (HILDA) Survey for 2005 to 2010 to model those variables which condition the probability of being obese. The model estimated is a random effects generalized ordered probit, which exploits two sources of heterogeneity; the individual heterogeneity of panel data models and heterogeneity across body mass index (BMI) categories. The latter is associated with non-parallel thresholds in the generalized ordered model, where the thresholds are functions of the conditioning variables, which comprise economic, social, and demographic and lifestyle variables. To control for potential predisposition to obesity, personality traits augment the empirical model. The results support the view that the probability of obesity is significantly determined by the conditioning variables. Particularly, personality is found to be important and these outcomes reinforce other work examining personality and obesity

    Modelling Gender Differences in the Economic and Social Influences of Obesity in Australian Young People

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    In Australia, as in many other developed economies, the prevalence of obesity has risen significantly in all age groups and especially in young males and females over the past decade. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this paper investigates the influence of economic, personality and social factor demographics on the incidence of obesity in Australian youths. The study uses two random parameters logit models, including one that allows for gender-specific differences in the conditioning variables. The models reveal notable differences between the most important variables affecting the incidence of obesity amongst females compared to males. These differences are notable to consider for policy and intervention programs aimed at reducing the problem of obesity
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