AimTo create and validate a simple clinical score to estimate the probability of admission at the time of triage.MethodsThis was a multicentre, retrospective, cross-sectional study of triage records for all unscheduled adult attendances in North Glasgow over 2 years. Clinical variables that had significant associations with admission on logistic regression were entered into a mixed-effects multiple logistic model. This provided weightings for the score, which was then simplified and tested on a separate validation group by receiving operator characteristic (ROC) analysis and goodness-of-fit tests.Results215 231 presentations were used for model derivation and 107 615 for validation. Variables in the final model showing clinically and statistically significant associations with admission were: triage category, age, National Early Warning Score (NEWS), arrival by ambulance, referral source and admission within the last year. The resulting 6-variable score showed excellent admission/discharge discrimination (area under ROC curve 0.8774, 95% CI 0.8752 to 0.8796). Higher scores also predicted early returns for those who were discharged: the odds of subsequent admission within 28 days doubled for every 7-point increase (log odds=+0.0933 per point, p<0.0001).ConclusionsThis simple, 6-variable score accurately estimates the probability of admission purely from triage information. Most patients could accurately be assigned to ‘admission likely’, ‘admission unlikely’, ‘admission very unlikely’ etc., by setting appropriate cut-offs. This could have uses in patient streaming, bed management and decision support. It also has the potential to control for demographics when comparing performance over time or between departments.

ObjectivesCollaboration between the orthopaedic and emergency medicine (ED) services has resulted in standardised treatment pathways, leaflet supported discharge and a virtual fracture clinic review. Patients with minor, stable fractures are discharged with no further follow-up arranged. We aimed to examine the time taken to assess and treat these patients in the ED along with the rate of unplanned reattendance.DesignA retrospective study was undertaken that covered 1 year before the change and 1 year after. Prospectively collected administrative data from the electronic patient record system were analysed and compared before and after the change.SettingAn ED and orthopaedic unit, serving a population of 300 000, in a publicly funded health system.Participants2840 patients treated with referral to a traditional fracture clinic and 3374 patients managed according to the newly redesigned protocol.Outcome measuresTime for assessment and treatment of patients with orthopaedic injuries not requiring immediate operative management, and 7-day unplanned reattendance.ResultsWhere plaster backslabs were replaced with removable splints, the consultation time was reduced. There was no change in treatment time for other injuries treated by the new discharge protocol. There was no increase in unplanned ED attendance, related to the injury, within 7 days (p=0.149). There was a decrease in patients reattending the ED due to a missed fracture clinic appointment.ConclusionsThis process did not require any new time resources from the ED staff. This process brought significant benefits to the ED as treatment pathways were agreed. The pathway reduced unnecessary reattendance of patients at face-to-face fracture clinics for a review of stable, self-limiting injuries.

Non-technical skills (NTS) are gaining increasing prominence within the field of emergency medicine. Situational awareness (SA), one key component of NTS, is a key skill for emergency physicians (EPs) during initial training and throughout their career. Furthermore, the majority of frameworks used to evaluate clinical performance incorporate SA as one key component. This review seeks to define and explore the concept of SA within the context of emergency medicine. We describe SA at an individual, team and departmental level. Development of this ability enables EPs to function effectively within the challenging environment of the emergency department (ED). Enhancing our understanding of SA may develop the cognitive process that underpins our clinical performance. We propose a model for consideration to support evaluation and training of SA within the ED, linking the model to the novice expert continuum.

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GAPS, a simple clinical score, is a better predictor of admission than triage nurses, unless the nurse is sure about the outcome, in which case their clinical judgement should be respected.