Predicting wellness among rural older Australians: a cross- sectional study.

INTRODUCTION: Prior research on older people's wellbeing and quality of life has lacked clarity and consistency. Research examining older people's health has tended to use these different terms and measurement tools interchangeably, which might explain why the evidence is somewhat mixed. There is a paucity of research that uses the multi-dimensional construct of wellness in rural older people. Addressing both limitations, this study seeks to make a unique contribution to knowledge testing an ecological model of wellness that includes intrapersonal factors, interpersonal processes, institutional factors, community factors and public policy. METHODS: Six rural case study sites were chosen across two Australian sites, the states of Queensland and Victoria. A community saturation recruitment strategy was utilised. Telephone surveys were conducted with community-dwelling rural older people (n=266) aged ≥65 years across the sites. The central variable of the study was wellness as measured by the Perceived Wellness Survey. The ecological model developed included the following intrapersonal factors: physical and mental health, loneliness and social demographic characteristics (age, sex, marital status and financial capability). Interpersonal factors included a measure of social and community group participation, social network size and support provided. Institutional factors were measured by series of questions devised around the resource base environment and access to amenities and services. RESULTS: A hierarchical regression analysis was conducted to determine which variables in the model predict wellness. The results showed that a combination of intrapersonal factors (physical health, mental health, loneliness and financial capability) and interpersonal factors (size of social network and community participation) predicted wellness. However, institutional factors, the resource base environment, and access to amenities and services, contributed only marginally to the model. Community factors, including the personal and physical characteristics of community, also only made a marginal contribution. CONCLUSIONS: The study identified the usefulness of using an integrated model of measurement in wellness. This model recognised the interrelated physical, social and economic influences that impact on rural older people throughout their life course. The study found that physical health made the greatest contribution to perceived wellness, followed by mental health. These findings support a body of research that has found that rural older people experience poorer health outcomes than those in urban areas. Lower levels of loneliness were also a strong predictor of perceived wellness, thus supporting research that has examined the impact of loneliness on physical and mental health. The presence of social capital, as measured by social network size, and the degree of community participation, were also predictors of perceived wellness. Overall, the findings of the present study implications for policy as well as subsequent strategies designed to increase the capacity of wellness in rural older people. Such strategies need to consider the contribution of a range of factors.

Extrinsic and intrinsic factors impacting on the retention of older rural healthcare workers in the north Victorian public sector: a qualitative study.

INTRODUCTION: Workforce shortages in Australia's healthcare system, particularly across rural areas, are well documented. Future projections suggest that as the healthcare workforce ages and retires, there is an urgent need for strategies to retain older skilled employees. Very few qualitative studies, with theoretical underpinning, have focused on the retention of older rural nurses and allied healthcare workers. This study aimed to address these gaps in research knowledge. METHODS: This qualitative study is phase 2 of a large mixed-methods study to determine the factors that impact on the retention of older rural healthcare workers across northern Victoria, Australia. The initial phase, drawing on the effort-reward imbalance model found high levels of imbalance across a large sample of this population. The present study builds on these findings to explore in more depth the organisational (extrinsic) and individual/social (intrinsic) factors associated with retention. A purposeful stratified sample was drawn from participants at the survey phase (phase 1) and invited to take part in a semistructured telephone interview. A diverse group of 17 rural healthcare workers (nurses and allied health) aged 55 years or more, employed in the north Victorian public sector, were interviewed. The data were transcribed and later analysed thematically and inductively. RESULTS: Data were categorised into extrinsic and intrinsic factors that influenced their decisions to remain in their roles or leave employment. The main extrinsic factors included feeling valued by the organisation, workload pressures, feeling valued by clients, collegial support, work flexibility, and a lack of options. The main intrinsic factors included intention to retire, family influences, work enjoyment, financial influences, health, sense of self, and social input. Given the noted imbalance between (high) effort and (low) reward among participants overall, strategies were identified for improving this balance, and in turn, the retention of older rural healthcare workers. CONCLUSIONS: Study outcomes provide important insight into factors that impact on the retention of older rural healthcare workers, and, importantly, the imbalance in effort and reward participants experience in their current workplace. Use of a theoretical approach, and a two-stage methodology, enables a deeper understanding of these factors and the strategies needed to address them. Further research is now needed to test the effectiveness of these strategies in the older rural healthcare workforce.