Cultural diversity and mental health : the relationship between leisure experiences and wellbeing in an ageing Italian community in Australia

One of the population health implications for Australia&rsquo;s ageing population is that a larger proportion of the Australian community will be retired and have more time for leisure pursuits. Meaningful leisure activities for this group are thought to be a factor in promoting positive mental health. However, a search of health literature revealed a paucity of research on how older adults make use of their leisure time, what meaning these pursuits have to them, and whether their chosen leisure activities are health enhancing and promote wellbeing. Australia&rsquo;s population is diverse with many cultures represented. As the population ages, mental health workers will be called upon to provide culturally-appropriate mental health services to clients from a range of ethnic groups. Literature on how people of culturally diverse backgrounds understand leisure activities is also limited. This paper reports on a study carried out in an Italian community in a large regional centre. The participants were selected based on the following criteria; aged 65 years and over, born in Italy, independently living in the community, ambulant, and retired from paid workforce. This study explored how a well-elderly group from an ethnic community derived meaning from their leisure activities and how this impacted on their mental health. Establishing the relationship between leisure and mental health in an ageing ethnic community is important because it sheds light on potential intervention strategies that can be used to maintain the mental health of people living independently in the community. Participants were interviewed using semi-structured questions about their perceptions of leisure, the meanings they derived from these activities, and their perceived impact of these activities on their health. Participant observation was also used to add trustworthiness to the data. Themes arising from the interviews and participant observation will be related to the participants&rsquo; sense of health. Results also revealed how older Italians engaged in leisure activities. Implications of the research findings will be directed towards mental health practice with older ethnic clients in community settings. The promotion of healthy lifestyles and positive mental health for Australia&rsquo;s ageing population will also be discussed.<br /

Estimating the Expected Value of Partial Perfect Information in Health Economic Evaluations using Integrated Nested Laplace Approximation

The Expected Value of Perfect Partial Information (EVPPI) is a decision-theoretic measure of the "cost" of parametric uncertainty in decision making used principally in health economic decision making. Despite this decision-theoretic grounding, the uptake of EVPPI calculations in practice has been slow. This is in part due to the prohibitive computational time required to estimate the EVPPI via Monte Carlo simulations. However, recent developments have demonstrated that the EVPPI can be estimated by non-parametric regression methods, which have significantly decreased the computation time required to approximate the EVPPI. Under certain circumstances, high-dimensional Gaussian Process regression is suggested, but this can still be prohibitively expensive. Applying fast computation methods developed in spatial statistics using Integrated Nested Laplace Approximations (INLA) and projecting from a high-dimensional into a low-dimensional input space allows us to decrease the computation time for fitting these high-dimensional Gaussian Processes, often substantially. We demonstrate that the EVPPI calculated using our method for Gaussian Process regression is in line with the standard Gaussian Process regression method and that despite the apparent methodological complexity of this new method, R functions are available in the package BCEA to implement it simply and efficiently