Accuracy of rapid disposition by emergency clinicians.

Objectives Rapid disposition protocols are increasingly being considered for implementation in emergency departments (EDs). Among patients presenting to an adult tertiary referral hospital, this study aimed to compare prediction accuracy of a rapid disposition decision at the conclusion of history and examination, compared with disposition following standard assessment. Methods Prospective observational data were collected for 1 month between October and November 2012. Emergency clinicians (including physicians, registrars, hospital medical officers, interns and nurse practitioners) filled out a questionnaire within 5min of obtaining a history and clinical examination for eligible patients. Predicted patient disposition (representing 'rapid disposition') was compared with final disposition (determined by 'standard assessment'). Results There were 301 patient episodes included in the study. Predicted disposition was correct in 249 (82.7%, 95% confidence interval (CI) 78.0-86.8) cases. Accuracy of predicting discharge to home appeared highest among emergency physicians at 95.8% (95% CI 78.9-99.9). Overall accuracy at predicting admission was 79.7% (95% CI 67.2-89.0). The remaining 20.3% (95% CI 11.0-32.8) were not admitted following standard assessment. Conclusion Rapid disposition by ED clinicians can predict patient destination accurately but was associated with a potential increase in admission rates. Any model of care using rapid disposition decision making should involve establishment of inpatient systems for further assessment, and a culture of timely inpatient team transfer of patients to the most appropriate treating team for ongoing patient management. What is known about the topic? In response to the National Emergency Access Targets, there has been widespread adoption of rapid-disposition-themed care models across Australia. Although there is emerging data that clinicians can predict disposition accurately, this data is currently limited. What does this paper add? Results of this study support the previously limited evidence that ED practitioners can accurately predict disposition early in the patient journey through ED, and that accuracy is similar across clinician groups. In addition to overall prediction accuracy, admission, discharge and treating team predictions were separately measured. These additional outcomes lend insight into safety and performance aspects relating to a rapid disposition model of care. What are the implications for practitioners? This study offers practical insights that could aid safe and efficient implementation of a rapid disposition model of care.

"After-hours" staffing of trauma centres and outcomes among patients presenting with acute traumatic coagulopathy.

OBJECTIVE: To examine the effect of the "after-hours" (18:00-07:00) model of trauma care on a high-risk subgroup - patients presenting with acute traumatic coagulopathy (ATC). DESIGN, PARTICIPANTS AND SETTING: Retrospective analysis of data from the Alfred Trauma Registry for patients with ATC presenting between 1 January 2006 and 31 December 2011. MAIN OUTCOME MEASURE: Mortality at hospital discharge, adjusted for potential confounders, describing the association between after-hours presentation and mortality. RESULTS: There were 398 patients with ATC identified during the study period, of whom 197 (49.5%) presented after hours. Mortality among patients presenting after hours was 43.1%, significantly higher than among those presenting in hours (33.1%; P = 0.04). Following adjustment for possible confounding variables of age, presenting Glasgow Coma Scale score, urgent surgery or angiography and initial base deficit, after-hours presentation was significantly associated with higher mortality at hospital discharge (adjusted odds ratio, 1.77; 95% CI, 1.10-2.87). CONCLUSION: The after-hours model of care was associated with worse outcomes among some of the most critically ill trauma patients. Standardising patient reception at major trauma centres to ensure a consistent level of care across all hours of the day may improve outcomes among patients who have had a severe injury.

Streamlining elective surgery care in a public hospital: the Alfred experience.

OBJECTIVE: To evaluate the effectiveness of redesigning and streamlining perioperative services. DESIGN: A before-and-after evaluation, with retrospective analysis of de-identified administrative data. SETTING: A major tertiary hospital, Melbourne, Australia. PARTICIPANTS: Patients undergoing elective surgery, February 2005 - February 2010. INTERVENTION: Implementing a process redesign to streamline clinical pathways for elective surgery, with a focus on the patient journey from referral to discharge, and establishing a separate, dedicated elective surgery facility. MAIN OUTCOME MEASURES: Numbers of patients waiting beyond national recommended waiting times for elective surgery; hospital-initiated postponement (HIP) rates for elective surgery; and lengths of stay (LOS), both combined and for specific diagnostic-related groups. RESULTS: The clinical process redesign resulted in a sustained downward trend in the number of elective surgery patients waiting longer than national recommended maximum waiting times. HIP rates were reduced to 1% in the dedicated elective surgery facility, and there was a significant reduction in the combined LOS, as well as the LOS for the most common surgical procedures (P < 0.001). CONCLUSIONS: Clinical process redesign of perioperative services and collocation of a separate elective surgery centre improved (i) timeliness of care for elective surgery patients and (ii) key indicators (LOS and HIP rates) for planned elective admissions.

Redesigning emergency patient flow with timely quality care at the Alfred.

OBJECTIVES: The 4 h National Emergency Access Target was introduced in 2011. The Alfred Hospital in Melbourne implemented a hospital-wide clinical service framework, Timely Quality Care (TQC), to enhance patient experience and care quality by improving timeliness of interventions and investigations through the emergency episode and admission to discharge in 2012. We evaluated TQC's effect on achieving the National Emergency Access Target and associated safety and quality indicators. METHODS: Retrospective analysis with piecewise regression of 215 125 ED attendances before/after implementation, November 2009 to August 2013; with comparison of proportions of patients discharged, admitted or transferred from ED within 4 h of arrival; left at risk; unplanned ED re-attendances up to 28 days; ED length of stay; and in-hospital mortality. RESULTS: The percentage of patients admitted, discharged or transferred within 4 h rose from 60% in 2010, to 74% in 2013. Median ED length of stay decreased significantly. Rate of unplanned ED re-presentations decreased by 27%, 22% and 17% within 24 h, 48 h and 7 days, respectively; and patient numbers leaving at risk halved from 8% to 4%. Mortality for admitted patients declined from 3.5% to 2.2%. All results were statistically significant. CONCLUSIONS AND FUTURE DIRECTIONS: TQC resulted in improvement in timeliness of care for emergency patients without compromising safety and quality. Success is attributed to effective engagement of stakeholders with a hospital-wide approach to redesigning the care pathway and establishing a new set of principles that underpin care from the time of ED arrival.