The elderly population had the highest rate of ED attendances. The use of diverse diagnosis classifications and source information systems may present problems with further analysis. Patterns and characteristics of ED presentations in NSW were broadly consistent with those reported in other states in Australia.

BackgroundDisposition decisions are critical to the functioning of Emergency Departments. The objectives of the present study were to derive and internally validate a prediction model for inpatient admission from the Emergency Department to assist with triage, patient flow and clinical decision making.MethodsThis was a retrospective analysis of State-wide Emergency Department data in New South Wales, Australia. Adult patients (age ≥ 16 years) were included if they presented to a Level five or six (tertiary level) Emergency Department in New South Wales, Australia between 2013 and 2014. The outcome of interest was in-patient admission from the Emergency Department. This included all admissions to short stay and medical assessment units and being transferred out to another hospital. Analyses were performed using logistic regression. Discrimination was assessed using area under curve and derived risk scores were plotted to assess calibration.Results1,721,294 presentations from twenty three Level five or six hospitals were analysed. Of these 49.38% were male and the mean (sd) age was 49.85 years (22.13). Level 6 hospitals accounted for 47.70% of cases and 40.74% of cases were classified as an in-patient admission based on their mode of separation. The final multivariable model including age, arrival by ambulance, triage category, previous admission and presenting problem had an AUC of 0.82 (95% CI 0.81, 0.82).ConclusionBy deriving and internally validating a risk score model to predict the need for in-patient admission based on basic demographic and triage characteristics, patient flow in ED, clinical decision making and overall quality of care may be improved. Further studies are now required to establish clinical effectiveness of this risk score model.

Objective We aimed to translate and evaluate a model of mental health liaison nursing (MHLN) care that was embedded within EDs. Methods The 12 month mixed‐methods translational research study incorporated descriptive data on ED presentations, waiting times for MHLN intervention, time spent in ED and discharge arrangements across three EDs in New South Wales. The study involved an inner‐city ED (where the model was first established) and two rural sites. Surveys were conducted on a subset of ED patients (n = 58), and emergency and psychiatry staff (n = 52). Results Triage category 3 presentations accounted for 49% of the MHLN team workload. Response times and ED length of stay varied between city and rural sites, with rural sites demonstrating prompt response times and reduced ED length of stay. The model was strongly endorsed by patients and staff, with 95% of staff and 85% of patients across the three sites recommending the model be implemented in other emergency settings. The need for adequate resources to maintain designated levels of staffing and sustain this model of care was highlighted. Conclusion Findings from the present study indicate that a model of ED‐based MHLN care developed in a metropolitan setting was successfully translated to two rural sites. However, the model needs to adhere to certain key principles, and be adequately resourced in order to be sustainable and improve outcomes for ED patients and access to community care.