Applying Sydney Triage to Admission Risk Tool (START) to improve patient flow in emergency departments: a multicentre randomised, implementation study.

BACKGROUND: To determine the effectiveness of applying the Sydney Triage to Admission Risk Tool (START) in conjunction with senior early assessment in different Emergency Departments (EDs). METHODS: This multicentre implementation study, conducted in two metropolitan EDs, used a convenience sample of ED patients. Patients who were admitted, after presenting to both EDs, and were assessed using the existing senior ED clinician assessment, were included in the study. Patients in the intervention group were assessed with the assistance of START, while patients in the control group were assessed without the assistance of START. Outcomes measured were ED length of stay and proportion of patients correctly identified as an in-patient admission by START. RESULTS: A total of 773 patients were evaluated using the START tool at triage across both sites (Intervention group n = 355 and control group n = 418 patients). The proportion of patients meeting the 4-hour length of stay thresholds was similar between the intervention and control groups (30.1% vs. 28.2%; p = 0.62). The intervention group was associated with a reduced ED length of stay when compared to the control group (351 min, interquartile range (IQR) 221.0-565.0 min versus 383 min, IQR 229.25-580.0 min; p = 0.85). When stratified into admitted and discharged patients, similar results were seen. CONCLUSION: In this extension of the START model of care implementation study in two metropolitan EDs, START, when used in conjunction with senior early assessment was associated with some reduced ED length of stay.

Clinical and longitudinal patterns of frequent presenters to emergency departments: A multi-centre data linkage analysis.

OBJECTIVE: To describe clinical characteristics and longitudinal patterns of representation in a cohort of patients who frequently present to EDs for care. METHODS: A retrospective data analysis linking routinely collected ED data across three hospitals. The study population consisted of patients who presented to any ED on 10 or more occasions in any continuous 365-day period from 1 July 2015 to 30 June 2021. Presenting complaints were divided into those with any mental health, drug and alcohol, or social presentations (MHDAS group) and those without (non-MHDAS group). Outcomes of interest were number of presentations as well as temporal and facility clustering of presentations. A per patient regression analysis was performed to identify independent risk factors for increased presentations. RESULTS: Presentations by 1640 frequent ED presenters in the study constituted 4.6% of total ED presentations. MHDAS study group were younger, predominantly English speaking, twice as likely to be married, had lower hospital admission rates and almost three times as many of them did not wait for treatment. Statistically significant differences were also found between these groups regarding presentation clustering, facility entropy, each of the four categories of the number of ED presentations, and Index of Relative Socio-Economic Advantage and Disadvantage. CONCLUSION: Representations associated with MHDAS have a different trajectory of representation episodes compared to non-MHDAS group. Escalating number of presentations and clustering are important predictors of future representation numbers. Those 'did not waits' who appear to be representing would be the highest risk of ongoing and persistent representations in the future and should be the target of early interventions to ensure they are accessing appropriate care before this happens.

The Emergency nurse Protocols Initiating Care-Sydney Triage to Admission Risk Tool (EPIC-START) trial: protocol for a stepped wedge implementation trial.

INTRODUCTION: Emergency department (ED) overcrowding is a global problem and a threat to the quality and safety of emergency care. Providing timely and safe emergency care therein is challenging. To address this in New South Wales (NSW), Australia, the Emergency nurse Protocol Initiating Care-Sydney Triage to Admission Risk Tool (EPIC-START) was developed. EPIC-START is a model of care incorporating EPIC protocols, the START patient admission prediction tool, and a clinical deterioration tool to support ED flow, timely care, and patient safety. The aim of this study is to evaluate the impact of EPIC-START implementation across 30 EDs on patient, implementation, and health service outcomes. METHODS AND ANALYSIS: This study protocol adopts an effectiveness-implementation hybrid design (Med Care 50: 217-226, 2012) and uses a stepped-wedge cluster randomised control trial of EPIC-START, including uptake and sustainability, within 30 EDs across four NSW local health districts spanning rural, regional, and metropolitan settings. Each cluster will be randomised independently of the research team to 1 of 4 dates until all EDs have been exposed to the intervention. Quantitative and qualitative evaluations will be conducted on data from medical records and routinely collected data, and patient, nursing, and medical staff pre- and post-surveys. ETHICS AND DISSEMINATION: Ethical approval for the research was received from the Sydney Local Health District Research Ethics Committee (Reference Number 2022/ETH01940) on 14 December 2022. TRIAL REGISTRATION: Australian and New Zealand Clinical trial, ACTRN12622001480774p. Registered on 27 October 2022.

24 hours - Life in the E.R.: A state-wide data linkage analysis of in-patients with prolonged emergency department length of stay in New South Wales, Australia.

OBJECTIVE: Describe the characteristics and predictors of mortality for patients who spend more than 24 h in the ED waiting for an in-patient bed and compare baseline clinical and demographic characteristics between tertiary and non-tertiary hospitals. METHODS: This was a state-wide analysis data linkage analysis of adult (age >16 years) ED presentations across New South Wales from 2019 to 2020. Cases were included if their mode of separation from ED indicated admission to an in-patient unit including critical care ward and their ED length of stay was greater than or equal to 24 h. Cases were categorised by service-related groups based on principle diagnosis. RESULTS: A total of 26 854 eligible cases were identified. The most common diagnosis groups were psychiatry, cardiology and respiratory. The odds ratio (OR) for 30-day all-cause mortality in admitted patients with an ED length of stay greater than 24 h were highest in those aged >75 years (OR 15.18, 95% confidence interval [CI] 9.99-23.07, P < 0.001), oncology (OR 10.45, 95% CI 7.93-13.77, P < 0.001) and haematology patients (OR 2.95, 95% CI 2.01-4.33, P < 0.001). CONCLUSION: Interventions and models of care to address ED access block need to focus on mental health patients, older patients particularly those with cardiorespiratory illness and oncology and haematology patients for whom risk of mortality is disproportionately higher.

Patterns of emergency department use in rural and metropolitan New South Wales by socioeconomic status: A population-based study.

OBJECTIVE: To investigate the patterns of ED use in metropolitan and rural New South Wales (NSW) by socioeconomic status (SES). METHODS: We undertook a retrospective, population-based study of de-identified data from the NSW Emergency Department Data Collection (EDDC). The study population comprised of NSW residents who presented to an NSW public hospital ED in 2013-2019 and were registered in the NSW EDDC. Total ED presentations, negative binomial regression modelled annual changes in ED presentations over 2013-2019, and age- and sex-standardised rates of ED presentations in 2019 were assessed. RESULTS: Overall, between 2013 and 2019, ED presentations increased in metropolitan and rural NSW, with mean annual percentage increases of 3.1% (95% confidence interval [CI] 2.8-3.5) and 2.5% (95% CI 2.0-2.9), respectively. This growth varied by SES, with larger increases observed in higher SES groups. The bulk of presentations in rural NSW were from individuals living in disadvantaged areas. Standardised rates of ED presentations were highest in the most disadvantaged quintiles (SES 1) and progressively decreased with increasing SES in both rural and metropolitan NSW (negative gradients). Rates were higher in rural NSW compared to metropolitan NSW across all SES quintiles for total, low acuity and non-low acuity presentations. CONCLUSIONS: Negative gradients in rates of ED presentations with increasing SES were observed in both metropolitan and rural NSW. At each SES quintile, rates of ED presentations were higher in rural compared to metropolitan areas. Further research exploring the underlying causal mechanisms leading to increased ED demand in rural NSW and socioeconomically disadvantaged populations is warranted.

Predictors of mortality in older patients with isolated severe head injury: a data linkage study from New South Wales, Australia.

Objective This study aimed to identify factors associated with 90-day mortality in older patients with a severe head injury. Methods A data linkage study was performed with the New South Wales Trauma Registry, Admitted Patient Data Collection and Registry of Births Deaths and Marriages to identify patients aged ≥75 years with isolated severe head injury presenting to trauma hospitals between 2012 and 2016. The primary outcome was all-cause mortality at 90 days. Results In all, 2045 patients were included in the analysis. The mean (±s.d.) age was 84.5 ± 5.6 years. Falls accounted for 93.7% of this cohort. In-hospital mortality was 28.2% and 90-day mortality was 60.7%. Clinical variables associated with increased 90-day mortality were a Glasgow Coma Scale (GCS) score P = 0.03) and systolic blood pressure ≥180 mmHg on arrival (aOR 1.39; 95%CI 1.05-1.83; P = 0.02). The most important predictor of 90-day mortality was the presence of severe intracranial injury based on computed tomography (CT) imaging. Increasing age and comorbidities were not associated with increased mortality in this cohort. Conclusions A GCS score What is known about the topic? Older adults with severe injury generally have higher mortality, worse functional outcomes and a greater need for prolonged rehabilitation than younger people. What does this paper add? Reduced GCS score, severe hypertension on arrival and severe intracranial injury on CT were predictive of mortality after isolated severe head injury in patients aged ≥75 years. There was no association between increasing age or comorbidities and mortality in this cohort. What are the implications for practitioners? CT scan results and initial observations should play a role in discussions around prognosis and appropriateness of care in older patients with isolated severe head injury.

Safety, Efficacy of an Accelerated Regimen of Low-Dose Recombinant Tissue-Type Plasminogen Activator for Reperfusion Therapy of Acute Pulmonary Embolism.

Controversy persists regarding the safety and efficacy of an accelerated low-dose recombinant tissue-type plasminogen activator (rt-PA) regimen for reperfusion therapy in acute pulmonary embolism. This study describes the outcomes of an accelerated low-dose rt-PA regimen for the treatment of acute pulmonary embolism in Vietnamese patients. This was a case series from October 2014 to October 2020 from 9 hospitals across Vietnam. Patients presenting with acute pulmonary embolism with high to intermediate mortality risk were administered alteplase 0.6 mg per kilogram (maximum of 50 mg) over 15 min. The main outcomes were the proportion who survived to hospital discharge and at 3 months as well as in-hospital hemorrhage (major and minor according to International Society of Thrombosis and Hemhorrage definitions). A total of 80 patients were enrolled: 48 (60%) with high risk for mortality and 32 patients (40%) with intermediate risk for mortality. A total of 7 (8.8%) died in hospital. All deaths occurred in the high-risk mortality group. The 73 patients who were discharged alive remained alive at 3 months follow up. During hospitalization, 1 patient (1.3%) suffered major bleeding, and 7 (8.8%) had minor bleeding. An accelerated thrombolytic regimen with alteplase 0.6 mg/kg (maximum of 50 mg) over 15 min for acute pulmonary embolism appeared be effective and safe in a case series of Vietnamese patients.

Outcomes for out-of-hospital cardiac arrest transported to emergency departments in Hanoi, Vietnam: A multi-centre observational study.

OBJECTIVE: To describe the outcomes of patients with out-of-hospital cardiac arrest (OHCA) transported to hospital in Hanoi, Vietnam. METHODS: This was a multi-centre observational study of patients presenting with OHCA to one of five tertiary care hospital EDs in Hanoi from 2017 to 2019. RESULTS: We analysed data from 239 OHCA cases of which 70.7% were witnessed, and 8.4% received bystander cardiopulmonary resuscitation (CPR). The emergency medical services (EMS) transported 20.5% of cases to hospital with the remaining being transported by private vehicle. No patients received external defibrillation before arriving to hospital. Return of spontaneous circulation in hospital was 33.1%, with 3.8% of patients survived to hospital discharge and only one patient (0.4%) discharged from hospital with a favourable neurological outcome. CONCLUSIONS: In cases of OHCA in Hanoi, both the proportion of cases receiving bystander CPR and EMS transportation were small. Urgent investments in pre-hospital capacity, training and capabilities are required to improve outcomes for OHCA in Hanoi.

Does volume or occupancy influence emergency access block? A multivariate time series analysis from a single emergency department in Sydney, Australia during the COVID-19 pandemic.

OBJECTIVE: The study aims to determine whether ED presentation volume or hospital occupancy had a greater impact on ED performance before and during the COVID-19 health response at a tertiary referral hospital in Sydney, Australia. METHODS: Single centre time series analysis using routinely collected hospital and ED data from January 2019 to September 2020. The primary outcome was ED access block measured by emergency treatment performance (ETP; i.e. percentage of patients who were discharged or transferred to a ward from ED within 4 h of ED arrival time). Secondary outcomes were hospital occupancy, elective theatre cases and ambulance ramping. Multivariate time series analysis was performed using vector autoregression, to model effects of changes in various endogenous and correlated variables on ETP. RESULTS: There was an increase in ETP, drop in ED presentations and decrease in hospital occupancy between April and June 2020. Elective surgery and hospital occupancy had significant effects up to 2 days prior on ETP, while there were no significant effects of either ED or ambulance presentations on ETP. Hospital occupancy itself increased with ED presentations after 2-4 days and decreased with elective surgery after 1 day. Shocks (a one standard deviation increase) in hospital occupancy had a peak impact nearly two times greater compared to ED presentations (-1.43, 95% confidence interval -1.92, -0.93 vs -0.73, 95% confidence interval -1.21, -0.25). CONCLUSION: The main determinants of the reduction of ED overcrowding and access block during the pandemic were associated with reductions in hospital occupancy and elective surgery levels, and more research is required to assess more complex associations beyond the scope of this manuscript.

Patterns of emergency department use in rural and metropolitan New South Wales from 2012 to 2018.

OBJECTIVE: To explore the patterns of and investigate the factors associated with rises in emergency department presentations in rural and metropolitan New South Wales from 2012 to 2018. DESIGN: A retrospective descriptive study of de-identified data from the New South Wales Emergency Department Data Collection. SETTING: New South Wales, Australia. PARTICIPANTS: All individuals presenting to 99 New South Wales emergency departments, which continuously reported to the Emergency Department Data Collection between 2012 and 2018. A total of 2 166 449 presentations recorded throughout New South Wales in 2012 (rural 786 278; metropolitan 1 380 171) and 2 477 192 in 2018 (rural 861 761; metropolitan 1 615 431). MAIN OUTCOME MEASURES: Total emergency department presentations, plus Poisson regression modelled annual changes in emergency department presentations over the period 2012-2018. RESULTS: Growth in emergency department presentations outpaced population growth in both rural and metropolitan New South Wales between 2012 and 2018. The patterns of age-standardised rates of presentations were broadly similar between rural and metropolitan areas, with highest rates observed in the youngest (0-4 years) and oldest (85+ years) cohorts. The rural sample also displayed a distinct third peak in ages 15-39 years, and rates were higher across all age groups. Rural New South Wales displayed disproportionately higher emergency department presentations in the two most deprived socio-economic status quintiles. While rural New South Wales displayed significant reductions in triage category 5 (non-urgent cases) over time, the relative proportion remained approximately double that of metropolitan sites. CONCLUSIONS: There are differences between rural and metropolitan emergency department presentations relating to demographic factors, triage levels, acuity and admissions. Detailed local investigations are required to determine specific contextual issues that impact on emergency department demand.

Incidence and outcomes of aortic dissection for emergency departments in New South Wales, Australia 2017-2018: A data linkage study.

OBJECTIVE: The aims of the present study were to describe the age-specific incidence and 30-day mortality of aortic dissection patients presenting to the EDs in New South Wales (NSW). METHODS: This was a data linkage study involving emergency, inpatient and death registry administrative data from NSW. RESULTS: The present study found 273 instances of aortic dissection in NSW from July 2017 to July 2018. Calculated incidence was 3.47 per 100 000. Incidence increased exponentially with age. The 30-day mortality rate among this cohort was 35.53% (n = 97). Mortality was significantly associated with age and pre-existing comorbidity burden, but was not associated with gender, level of hospital or time of presentation. CONCLUSIONS: The present study found the incidence of aortic dissection within the NSW population to be 3.4 per 100 000. The incidence of aortic dissection in our population increased from 8.6 per 100 000 for people aged between 60 and 80 years to 32 per 100 000 for those aged over 80 years.

Predictors and in-hospital mortality associated with prolonged emergency department length of stay in New South Wales tertiary hospitals from 2017 to 2018.

OBJECTIVE: To determine specific patient, clinical and service factors associated with increased ED length of stay and investigate whether prolonged ED length of stay, as measured by emergency treatment performance (ETP) non-compliance, is an independent predictor of all cause 30-day mortality for patients presenting to, and admitted from ED. METHODS: This was a retrospective analysis of linked state-wide emergency, inpatient and death data from New South Wales. All patients who presented to a tertiary level public hospital (level 5 or 6) ED and admitted to an in-patient unit were included. Outcomes were the proportion of admitted patients who met ETP targets, and 30-day all-cause mortality. RESULTS: A total of 697 600 eligible cases were identified and analysed. The odds of meeting ETP benchmarks were 62% lower in those with complex or multiple medical comorbidities (odds ratio 0.38, 95% confidence interval 0.37-0.40, P < 0.001) compared with patients with no medical comorbidities. Admission under psychiatry, surgical and oncology service-related groups were associated with decreased ETP. The hazard ratio for 30-day all-cause mortality over time was 28% higher in those not meeting ETP benchmarks after adjusting for age, triage category, comorbidities, ICU and service-related group (hazard ratio 1.28, 95% confidence interval 1.26-1.30, P < 0.001). CONCLUSION: Patients with complex and multiple medical comorbidities, and those admitted under certain service-related groups such as psychiatry, surgery and oncology were found to have poorer ETP performance. Overall, failure to meet ETP was associated with increased mortality after adjusting for age, case-mix, comorbidities and acuity.

Correlating injury severity scores and major trauma volume using a state-wide in-patient administrative dataset linked to trauma registry data-A retrospective analysis from New South Wales Australia.

INTRODUCTION: Trauma registries are used to analyse and report activity and benchmark quality of care at designated facilities within a trauma system. These capabilities may be enhanced with the incorporation of administrative and electronic medical record datasets, but are currently limited by the use of different injury coding systems between trauma and administrative datasets. OBJECTIVES: Use an Abbreviated Injury Scale to International Classification of Disease (AIS-ICD) mapping tool to correlate estimated injury severity scores and major trauma volume based on administrative data collections with trauma registry data. METHODS: Adult trauma cases were identified from the New South Wales Trauma Registry between 2012 and 2016 and linked probabilistically using age, facility and date of facility arrival to the Admitted Patient Data Collection (APDC). Estimated Injury Severity Scores (ISS) were derived using the AIS-ICD mapping tool applied to diagnoses contained in the APDC. RESULTS: A total of eligible 13,439 cases were analysed. The overall correlation between trauma registry ISS and ISS estimated from APDC using the AIS-ICD mapping tool was low to moderate (Spearman Rho 0.41 95%CI 0.40, 0.43). Based on an estimated ISS cut-off value of 8, there was high correlation between estimated trauma volume and the number of major trauma cases at each facility (Spearman Rho 0.98, 95%CI 0.95, 0.99). Trauma Revised Injury Severity Score (TRISS) was associated with only slightly higher mortality prediction performance compared to estimated ISS (AUROC 0.76 95%CI 0.75, 0.78 versus AUROC 0.74 95%CI 0.73, 0.76). CONCLUSION: A low to moderate correlation exists between individual patient ISS scores based on AIS to ICD mapping of in-patient data collection, but a high correlation for overall major trauma volume using the AIS-ICD mapping at facility level with comparable TRISS mortality prediction.

The Sydney triage to admission risk tool (START) to improve patient flow in an emergency department: a model of care implementation pilot study.

BACKGROUND: The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed to estimate the probability of in-patient admission based on Emergency Department triage characteristics. METHODS: This was a single centre pilot implementation study using a matched case control sample of patients assessed at ED triage. Patients in the intervention group were identified at triage by the START tool as likely requiring in-patient admission and briefly assessed by an ED Consultant. Bed management were notified of these patients and their likely admitting team based on senior early assessment. Matched controls were identified on the same day of presentation if they were admitted to the same in-patient teams as patients in the intervention group and same START score category. Outcomes were ED length of stay and proportion of patients correctly classified as an in-patient admission by the START tool. RESULTS: One hundred and thirteen patients were assessed using the START-based model of care. When compared with matched control patients, this intervention model of care was associated with a significant reduction in ED length of stay [301 min (IQR 225-397) versus 423 min (IQR 297-587) p < 0.001] and proportion of patients meeting 4 h length of stay thresholds increased from 24 to 45% (p < 0.001). CONCLUSION: In this small pilot implementation study, the START tool, when used in conjunction with senior early assessment was associated with a reduction in ED length of stay. Further controlled studies are now underway to further examine its utility across other ED settings.

Diagnoses, damned diagnoses and statistics: Dealing with disparate diagnostic coding systems within the New South Wales Emergency Department Data Collection.

OBJECTIVES: The aims of the present study were to describe the distribution of Systematised Nomenclature of Medicine - Clinical Terms (SNOMED-CT) codes used in the current New South Wales Emergency Department Data Collection (NSW EDDC) and classify duplicate and redundant terms into clinically meaningful sub-groups for future analyses. METHODS: This was an analysis of ED diagnosis codes using a large state-wide administrative ED dataset between 2015 and 2018. RESULTS: A total of 7.4 million (77%) of ED episode diagnoses were coded with SNOMED-CT. Of those coded with SNOMED-CT, 12 152 unique codes were identified. Around 1000 of the most frequently used codes accounted for 90% of the presentations coded with SNOMED-CT and 5000 codes accounted for 99.8% of these. Around 7000 codes were deemed to be redundant, and duplication in terms exists across all sub-groups. CONCLUSION: The use of SNOMED-CT in the NSW EDDC has resulted in substantial use of non-specific, duplicate and redundant codes, limiting the capacity of the NSW EDDC to be used for effective data analysis.

Impact of acutely behavioural disturbed patients in the emergency department: A prospective observational study.

OBJECTIVE: The present study describes patients with acute behavioural disturbance presenting to the ED, the impact they have on the department and any complications that occur. METHODS: We performed a prospective observational study of adult patients (>17 years old) requiring parenteral sedation for acute behavioural disturbance over a 13 month period. Demographic data, mode of arrival, indication, drug type and dosing used for sedation were collected. Departmental data were recorded including the staff type and numbers involved and the condition of the department. The main outcomes were complications from sedative medication and injury sustained to patients or staff. RESULTS: Over the study period 173 patients met inclusion criteria, the majority (n = 104, 60%) were men with a mean age of 38.5 years (standard deviation 14.4); 51% of patients had more than one indication for sedation (n = 89), the commonest being mental health related plus drug intoxication (n = 30, 33.7%). Intoxication was frequently from either alcohol (n = 62, 47%) or methamphetamine (n = 41, 31%). The median number of staff involved was 10 (interquartile range 8-12). Staff members received an injury in 12% (n = 20) of sedations, with only 1% (n = 2) of patients receiving any physical injury; 12% (n = 20) had a minor complication from the sedation medication. No patient had any major complication (apnoea, intubation, arrhythmias or cardiac arrest). CONCLUSION: Patients with acute behavioural disturbance often have a history of mental illnesses and are commonly intoxicated. These patients have impacts on healthcare resources and pose risks to staff safety, but significant complications to patients do not occur frequently.

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques. METHODS: This was a retrospective analysis of state-wide ED data from New South Wales, Australia. Six classification algorithms (Bayesian networks, decision trees, logistic regression, naïve Bayes, neural networks and nearest neighbour) and five feature selection techniques (none, manual, correlation-based, information gain and wrapper) were examined. Presenting problem was categorised using broad (n = 20) and specific (n = 100) representations. Models were evaluated based on Area Under the Curve (AUC) and accuracy. The results were compared with the Sydney Triage to Admission Risk Tool (START), which uses logistic regression and six manually selected features. RESULTS: Sixty admission prediction models were trained and validated using data from 1 721 294 patients. Under the broad representation of presenting problem, the nearest neighbour algorithm with manual feature selection had the best AUC of 0.8206 (95% CI ±0.0006), while the decision tree with no feature selection had the best accuracy of 74.83% (95% CI ±0.065). Under the specific representation, almost all models improved; the nearest neighbour with information gain feature selection had the best AUC of 0.8267 (95% CI ±0.0006), while the decision tree with wrapper or no feature selection had the best accuracy of 75.24% (95% CI ±0.064). Eleven of the machine learning models had slightly better AUC than the START model. CONCLUSION: Machine learning methods demonstrate similar performance to logistic regression for ED disposition prediction models using basic triage information. This should be investigated further, especially for larger data sets with more complex clinical information.

Extending the Sydney Triage to Admission Risk Tool (START+) to predict discharges and short stay admissions.

OBJECTIVE: This study aims to validate previously reported triage tool titled Sydney Triage to Admission Risk Tool (START+) and investigate whether an extended version of the tool could be used to identify and stream appropriate short stay admissions to ED observation units or specialised short stay inpatient wards. METHODS: This was a prospective study at two metropolitan EDs in Sydney, Australia. Consecutive triage encounters were observed by a trained researcher and START scores calculated. The primary outcome was length of stay <48 hours. Multivariable logistic regression was used to estimate area under curve of receiver operator characteristic (AUROC) for START scores. The original START tool was then extended to include frailty and multiple or major comorbidities as additional variables to assess for further predictive accuracy. RESULTS: There were 894 patients analysed during the study period. Of the 894 patients, there were 732 patients who were either discharged from ED or admitted for <2 days. The AUROC for the original START+ tool was 0.80 (95% CI 0.77 to 0.83). The presence of frailty was found to add a further five points and multiple comorbidities added another four points on top of the START score, and the AUROC for the extended START score 0.84 (95% CI 0.81 to 0.88). CONCLUSION: The overall performance of the extended ED disposition prediction tool that included frailty and multiple medical comorbidities significantly improved the ability of the START tool to identify patients likely to be discharged from ED or require short stay admission <2 days. TRIAL REGISTRATION NUMBER: ACTRN12618000426280.

Presentations to NSW emergency departments with self-harm, suicidal ideation, or intentional poisoning, 2010-2014.

OBJECTIVE: To evaluate population trends in presentations for mental health problems presenting to emergency departments (EDs) in New South Wales during 2010-2014, particularly patients presenting with suicidal ideation, self-harm, or intentional poisoning. DESIGN, SETTING AND PARTICIPANTS: This was a retrospective, descriptive analysis of linked Emergency Department Data Collection registry data for presentations to NSW public hospital EDs over five calendar years, 2010-2014. Patients were included if they had presented to an ED and a mental health-related diagnosis was recorded as the principal diagnosis. MAIN OUTCOME MEASURES: Rates of mental health-related presentations to EDs by age group and calendar year, both overall and for the subgroups of self-harm, suicidal ideation and behaviour, and intentional poisoning presentations. RESULTS: 331 493 mental health-related presentations to 115 NSW EDs during 2010-2014 were analysed. The presentation rate was highest for 15-19-year-old patients (2014: 2167 per 100 000 population), but had grown most rapidly for 10-14-year-old children (13.8% per year). The combined number of presentations for suicidal ideation, self-harm, or intentional poisoning increased in all age groups, other than those aged 0-9 years; the greatest increase was for the 10-19-year-old age group (27% per year). CONCLUSIONS: The rate of mental health presentations to EDs increased significantly in NSW between 2010 and 2014, particularly presentations by adolescents. Urgent action is needed to provide better access to adolescent mental health services in the community and to enhance ED models of mental health care. The underlying drivers of this trend should be investigated to improve mental health care.