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Objective Despite significant workflow reform to comply with the federally mandated National Emergency Access Target ( NEAT), Australian public hospitals continue to face significant barriers in achieving good ED patient flow. This study was undertaken to identify and analyse the impact of individual waypoints on an ED patient's journey and identify which waypoints act as bottlenecks to a hospital's 4 h ED disposition performance. Methods This study involves retrospective analysis and simulation employing 2 years of ED administrative data from a sample of two major and two large metropolitan hospitals in Queensland, Australia. The main outcome measures included waypoint wait times (Treatment Delay and Departure Delay), ED length of stay ( EDLOS) and compliance with the NEAT target, measured for all (overall NEAT) and admitted (Admitted NEAT) patients. Variations in outcome measures were analysed as functions of hour of day, day of week, departure status and triage category. Simulations identified the impact of potential ED workflow changes in the context of NEAT performance. Results Departure Delay accounted for 60 and 20% of EDLOS across large and major metropolitan hospitals, respectively. Higher gains in NEAT compliance are associated with improvements in departure delay rather than treatment delay. Simulation identified that halving Departure Delay improves Admitted NEAT by up to 22 and 4% at large and major metropolitan hospitals, respectively. Conclusions The results reinforces the need for a whole-of-hospital effort to address flow bottlenecks, and identify moving a patient from emergency to inpatient care as the critical bottleneck in ED system performance. [ABSTRACT FROM AUTHOR]

Objective To describe and compare characteristics and outcomes of patients who arrive by ambulance to the ED. We aimed to (i) compare patients with a delayed ambulance offload time ( AOT) >30 min with those who were not delayed; and (ii) identify predictors of an ED length of stay ( LOS) of >4 h for ambulance-arriving patients. Methods A retrospective, multi-site cohort study was undertaken in Australia using 12 months of linked health data ( September 2007-2008). Outcomes of AOT delayed and non-delayed presentations were compared. Logistic regression analysis was undertaken to identify predictors of an ED LOS of >4 h. Results Of the 40 783 linked, analysable ambulance presentations, AOT delay of >30 min was experienced by 15%, and 63% had an ED LOS of >4 h. Patients with an AOT <30 min had better outcomes for: time to triage; ambulance time at hospital; time to see healthcare professional; proportion seen within recommended triage time frame; and ED LOS for both admitted and non-admitted patients. In-hospital mortality did not differ. Strong predictors of an ED LOS >4 h included: hospital admission, older age, triage category, and offload delay >30 min. Conclusion Patients arriving to the ED via ambulance and offloaded within 30 min experience better outcomes than those delayed. Given that offload delay is a modifiable predictor of an ED LOS of >4 h, targeted improvements in the ED arrival process for ambulance patients might be useful. [ABSTRACT FROM AUTHOR]

Objectives The study aims to investigate the effect of time of day and ED occupancy on the ability of EDs to admit or discharge patients within 4 h in accordance with the National Emergency Access Target (NEAT), and to compare this with corresponding levels of access block, the measure for ED performance before NEAT. Methods: This is a retrospective analysis of 5 years of ED data from 30 reporting public hospitals in Queensland, Australia. Relationships between these and variations in time of day and occupancy were explored using a Poisson generalised linear model. The main outcome measures are cases of NEAT non-compliance (ED length of stay >4 h for all patients [i.e. admitted and non-admitted] leaving the ED) and access block (ED length of stay >8 h for admitted patients). Results: NEAT performance is found to be dependent on hospital size, and levels vary significantly for admitted and non-admitted patients. A higher proportion of patients breach NEAT during early mornings and low occupancy periods, a trend not observed with the previous access block metric. NEAT non-compliance is also found to rise between 13.00 hours and 17.00 hours, a period when the proportion of access block cases typically drops. Conclusions: EDs face rising levels of NEAT non-compliance at times when corresponding access block levels have traditionally not been a concern. A higher proportion of patients breach the target during periods that would intuitively not be flagged as flow bottlenecks. The findings support the need for service level analysis and new solutions to guide workflow reform and maximise NEAT compliance. [ABSTRACT FROM AUTHOR]

Objectives To investigate the effect of hospital occupancy levels on inpatient and ED patient flow parameters, and to simulate the impact of shifting discharge timing on occupancy levels. Methods Retrospective analysis of hospital inpatient data and ED data from 23 reporting public hospitals in Queensland, Australia, across 30 months. Relationships between outcome measures were explored through the aggregation of the historic data into 21 912 hourly intervals. Main outcome measures included admission and discharge rates, occupancy levels, length of stay for admitted and emergency patients, and the occurrence of access block. The impact of shifting discharge timing on occupancy levels was quantified using observed and simulated data. Results The study identified three stages of system performance decline, or choke points, as hospital occupancy increased. These choke points were found to be dependent on hospital size, and reflect a system change from 'business-as-usual' to 'crisis'. Effecting early discharge of patients was also found to significantly ( P < 0.001) impact overcrowding levels and improve patient flow. Conclusions Modern hospital systems have the ability to operate efficiently above an often-prescribed 85% occupancy level, with optimal levels varying across hospitals of different size. Operating over these optimal levels leads to performance deterioration defined around occupancy choke points. Understanding these choke points and designing strategies around alleviating these flow bottlenecks would improve capacity management, reduce access block and improve patient outcomes. Effecting early discharge also helps alleviate overcrowding and related stress on the system. [ABSTRACT FROM AUTHOR]

The article assesses the accuracy of linking ambulance, emergency department and hospital admissions data in Queensland. In particular, it reports on the accuracy of manual and deterministic linking of three health information systems. These systems are the Queensland Ambulance Service Electronic Ambulance Report Form (eARF), the Emergency Department Information System (EDIS) and the Hospital Based Corporate Information System (HBCIS). Results show a high sensitivity and slightly lower specificity in the deterministic linking of data.

The article discusses the approaches to predicting future influenza epidemics in Queensland based on emergency department data collected from 2005 to the 2009 influenza season. These models include surveillance monitoring of influenza presentations using adaptive cumulative sum (CUSUM) plan analysis, historical data forecasts and use of Internet search data. It concludes that a combination of routine forecasting methods and an adaptive CUSUM methodology can determine unusual events and predict expected presentation rates.

Introduction: Funding bodies have traditionally used attendance figures as a way of determining the allocation of funding for resources in the EDs. Using attendance figures only might not accurately reflect the funding and resources required. The need to create an easily implemented tool to compare workload and resources required was identified. Using the Australasian Triage Scale, a tool was developed to estimate staffing requirements and resource use within each ED. This, although currently not validated, provides a promising start in finding a way to accurately determine ED workload. Methods: Existing data on patient acuity, disposition, numbers of patients and the individual costing of each presentation was used to estimate and define the workload of an ED in emergency care workload units (ECWU). The tool is applied to six de-identified hospitals within Queensland to demonstrate its potential use for equitable budget and staffing allocation. Results: The tool was applied to a selection of de-identified EDs within Queensland hospitals. An increased number of ECWU is generated for a patient with a more urgent triage category reflecting a higher resource consumption and workload. Discussion: Although a few studies have been completed in Canada linking workload, resource consumption and cost to triage category, this tool will need to be validated before its use can be fully appreciated. Conclusion: This tool provides a simple method to calculate equitable distribution of staffing and budget allocation based on workload across the different EDs within Australia. [ABSTRACT FROM AUTHOR]

The article presents a study which examines the ability of Australian tertiary hospital doctors to calculate drug doses and their workplace prescribing and calculation habits. Conducted at a 570-bed teaching hospital in February 2007, the study showed that senior doctors and those in critical care medicine achieved significantly higher actual scores than junior doctors. Furthermore, physicians expect their colleagues to perform significantly better in a drug-dose calculation test than they expect to.

Objective: To estimate the expected staff absentee rates and work attitudes in an Australian tertiary hospital workforce in two hypothetical scenarios: (i) a single admission of avian influenza; and (ii) multiple admissions of human pandemic influenza. Methods: A survey conducted at hospital staff meetings between May and August 2006. Results: Out of 570 questionnaires distributed, 560 were completed. For scenario one, 72 (13%) indicated that they would not attend work, and an additional 136 (25%) would only work provided that immunizations and/or antiviral medications were immediately available, so that up to 208 (38%) would not attend work. For scenario two, 196 (36%) would not attend work, and an additional 95 (17%) would work only if immunizations and/or antiviral medications were immediately available, so that up to 291 (53%) staff would not attend work. Staff whose work required them to be in the ED (odds ratios 2.2 and 1.6 for each scenario respectively) or on acute medical wards (odds ratios 2.2 and 2.0 respectively) were more likely to work. Conclusion: High absenteeism among hospital staff should be anticipated if patients are admitted with either avian or pandemic influenza, particularly if specific antiviral preventative measures are not immediately available. Measures to maximize the safety of staff and their families would be important incentives to attend work. Education on realistic level of risk from avian and pandemic influenza, as well as the effectiveness of basic infection control procedures and personal protective equipment, would be useful in improving willingness to work. [ABSTRACT FROM AUTHOR]

Objective: We explored the relationship between the National Emergency Access Target (NEAT) compliance rate, defined as the proportion of patients admitted or discharged from emergency departments (EDs) within 4 hours of presentation, and the risk-adjusted in-hospital mortality of patients admitted to hospital acutely from EDs.Design, Setting and Participants: Retrospective observational study of all de-identified episodes of care involving patients who presented acutely to the EDs of 59 Australian hospitals between 1 July 2010 and 30 June 2014.Main Outcome Measure: The relationship between the risk-adjusted mortality of inpatients admitted acutely from EDs (the emergency hospital standardised mortality ratio [eHSMR]: the ratio of the numbers of observed to expected deaths) and NEAT compliance rates for all presenting patients (total NEAT) and admitted patients (admitted NEAT).Results: ED and inpatient data were aggregated for 12.5 million ED episodes of care and 11.6 million inpatient episodes of care. A highly significant (P < 0.001) linear, inverse relationship between eHSMR and each of total and admitted NEAT compliance rates was found; eHSMR declined to a nadir of 73 as total and admitted NEAT compliance rates rose to about 83% and 65% respectively. Sensitivity analyses found no confounding by the inclusion of palliative care and/or short-stay patients.Conclusion: As NEAT compliance rates increased, in-hospital mortality of emergency admissions declined, although this direct inverse relationship is lost once total and admitted NEAT compliance rates exceed certain levels. This inverse association between NEAT compliance rates and in-hospital mortality should be considered when formulating targets for access to emergency care. [ABSTRACT FROM AUTHOR]

The article focuses on the National Emergency Access Target (NEAT) introduced by the government in Australia to urge measurable systemic change in patient discharge from emergency departments (EDs). It states that NEAT aims to depart 90% of all ED patients within 4 hours after admission by 2015 to avoid overcrowding. Moreover, it mentions the efforts of researchers from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in meeting the NEAT requirements.