Can emergency medical service staff predict the disposition of patients they are transporting?. Issue 10 (8th October 2008)

• Record Type: Journal Article
• Authors: Clesham, K; Mason, S; Gray, J; Walters, S; Cooke, V
• Is Part Of: Emergency medicine journal. Volume 25:Issue 10(2008)
• Page Start: 691
• Page End: 694
• Publication Date: 2008-10-08
• Subjects: Emergency medicine -- Periodicals; 616.02505
• DOI: 10.1136/emj.2007.054924
• Languages: English
• ISSNs: 1472-0205

Abstract

Abstract : Background: Emergency medical service (EMS) staff in the UK routinely transport all emergency responses to the nearest emergency department (ED). Proposed reforms in the ambulance service mean that EMS staff will transport patients not necessarily to the nearest hospital, but to one providing facilities that the patient is judged to require. No previous UK studies have evaluated how accurately EMS staff can predict which transported patients will require admission to hospital. Objectives: To survey EMS staff regarding the appropriate use of their service and determine whether they can predict which patients will require hospital admission. Methods: A prospective ''service evaluation'' of EMS staff transporting patients to an adult ED in the UK. Staff were asked to state whether ED attendance by emergency ambulance was appropriate and whether transported patients would be admitted or discharged from the ED. Results: During the study period, there were 2553 emergency transports to the ED and questionnaires were completed in 396 cases (15.5%). EMS staff predicted that 182 (46.0%) would be admitted to hospital and 214 (54.0%) would be discharged. Actual dispositions were 187 (47.2%) versus 209 (52.8%) respectively. Sensitivity of predicting admission was 71.7% (95% CI 65 to 78) and specificity was 77.0% (95% CI 71 to 81). EMS staff were significantly better at predicting admission in non-trauma cases than trauma cases (75.9% vs 57.1%, 95% CI 2.2 to 35.4). Conclusion: Staff in one UK ambulance service showed reasonable accuracy when predicting the likelihood of admission of patients they transport. They correctly identified most patients who would be able to leave. Further work is needed to support these findings and ensure that EMS staff safely triage patients to alternative destinations of care.