Int J Environ Res Public Health
September 2024
Potentially Preventable Hospitalisations (PPH) is a widely used indicator of the effectiveness of non-hospital care. Specified using the International Classification of Diseases (ICD) coding, PPH comprises a suite of health conditions that could have potentially been prevented with appropriate care. The most recent edition of the documents the health conditions of interest to providers of primary care, many of which are not represented in PPH.
View Article and Find Full Text PDFBackground: Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers.
Methods: Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included.
Background: Workplace aggression is becoming increasingly prevalent in health care, with serious consequences for both individuals and organisations. Research and development of organisational interventions to prevent and minimise workplace aggression has also increased. However, it is not known if interventions prevent or reduce occupational violence directed towards healthcare workers.
View Article and Find Full Text PDFAust Health Rev
February 2014
Objective: To explore the likely impact of future trajectories of morbidity and mortality in Australia.
Methods: Estimates of mortality and morbidity were obtained from a previous assessment of Australia's health from 1993 to 2003, including projections to 2023. Outcomes of interest were the difference between life expectancy (LE0) and health-adjusted life expectancy (i.
Aust N Z J Public Health
December 2009
Objective: To analyse the implications of using different methods to predict diabetes prevalence for the future.
Approach: Different methods used to predict diabetes were compared and recommendations are made.
Conclusion: We recommend that all projections take a conservative approach to diabetes prevalence prediction and present a 'base case' using the most robust, contemporary data available.
Objective: To describe the magnitude and distribution of health problems in Australia, in order to identify key opportunities for health gain.
Design: Descriptive epidemiological models for a comprehensive set of diseases and injuries of public health importance in Australia were developed using a range of data sources, methods and assumptions. Health loss associated with each condition was derived using normative techniques and quantified for various subpopulations, risks to health, and points in time.