Preventive healthcare practice by allied health professionals: Results from a cross-sectional survey in rural and regional Victoria.

Objectives: To describe the frequency of preventive healthcare practice (assess, advice, refer for support) provided by allied health professionals (AHPs) practicing in regional and rural healthcare settings to address smoking, diet and physical inactivity. To identify factors that influence the delivery of preventive healthcare practice.

Methods: AHPs working in public healthcare services in the Loddon Mallee region of Victoria were surveyed.

Health and Wellbeing of Regional and Rural Australian Healthcare Workers during the COVID-19 Pandemic: Baseline Cross-Sectional Findings from the Loddon Mallee Healthcare Worker COVID-19 Study-A Prospective Cohort Study.

Background: 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.

The moderating role of psychological resilience in the relationship between fear of COVID-19 and psychological distress, in a cohort of rural and regional healthcare workers. During major lockdowns in Victoria, Australia 2020-2021.

The emergence of the COVID-19 pandemic resulted in substantial pressures for healthcare workers across the world. The association between fear of COVID-19 and psychological distress, and the role of psychological resilience have gained research interest. The current study aimed to investigate the cross-sectional association between fear of COVID-19 and psychological distress, in Australian rural/regional healthcare workers and determine whether resilience modifies this association.

Understanding the research capacity and culture of a regional allied health workforce.

The aim of this study was to understand the research capacity and culture of a regional allied health workforce over time. A cross-sectional study design was used, with data collected using the validated Research Capacity and Culture (RCC) tool. The results were compared with an earlier administration of the RCC survey.

Managing chronic conditions care across primary care and hospital systems: lessons from an Australian Hospital Avoidance Risk Program using the Flinders Chronic Condition Management Program.

Objective The study aimed to determine the impact of the Flinders Chronic Condition Management Program for chronic condition self-management care planning and how to improve its use with Bendigo Health's Hospital Admission Risk Program (HARP). Methods A retrospective analysis of hospital admission data collected by Bendigo Health from July 2012 to September 2013 was undertaken. Length of stay during admission and total contacts post-discharge by hospital staff for 253 patients with 644 admissions were considered as outcome variables.

Correlation of MAPT scores with clinical and radiographic assessment of patients awaiting THR/TKR.

Background: The Multi-attribute Arthritis Prioritisation Tool (MAPT) score is used as a tool to prioritize referrals to specialist clinics and care given to patients with hip and knee problems. Our pilot study aimed to determine the extent of any relationship between the MAPT scores and the clinician's assessment of severity of disease in terms of surgical waiting list (SWL) categories and radiological assessment.

Methods: This is a retrospective study of patients with symptomatic hip or knee osteoarthritis (OA) that were referred via the orthopaedic waiting list project between January and July 2009 to the Bendigo Health's orthopaedic outpatients clinic and were waitlisted for a total hip replacement (THR)/total knee replacement (TKR).

Mapping patient flow in a regional Australian emergency department: a model driven approach.

Unified Modelling Language (UML) models of the patient journey in a regional Australian emergency department (ED) were used to develop an accurate, complete representation of ED processes and drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for hospital service planning. The focus was to identify bottle-necks that contribute to over-crowding. Data was collected entirely independently of the routine hospital data collection system.

Planning for transition care.

The Australian Government introduced the National Transition Care Program in the 2004-2005 Federal Budget. This program is designed to assist elderly patients who have completed a stay in hospital to move from the hospital to their homes or other suitable accommodation. In planning for transition care services, managers are faced with the question, "How many places should be allocated to transition care in our facility?" This case study offers an approach to this question based on queueing theory.

Assessing the impact of streaming in a regional emergency department.

Objective: To evaluate the impact of a streaming model, previously validated in metropolitan EDs, on selected performance indicators in a regional ED.

Method: Multiple linear regression models were applied to monthly time series data from 43 months prior to the intervention and 15 months following the intervention to measure the impact of the streaming model on the following performance indicators: (i) percentage of emergency patients admitted to an inpatient bed within 8 h; (ii) percentage of non-admitted emergency patients with a length of stay of less than 4 h; and (iii) percentage of emergency patients who left without being seen by a doctor or nurse practitioner.

Setting: Bendigo Health ED in regional Victoria.

Forecasting emergency department presentations.

Objective: To forecast the number of patients who will present each month at the emergency department of a hospital in regional Victoria.

Methods: The data on which the forecasts are based are the number of presentations in the emergency department for each month from 2000 to 2005. The statistical forecasting methods used are exponential smoothing and Box-Jenkins methods as implemented in the software package SPSS version 14.