Association between ambulance dispatch priority and patient condition

© 2016 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.Objective: To compare chief complaints of the Medical Priority Dispatch System in terms of the match between dispatch priority and patient condition. Methods: This was a retrospective whole-of-populati...

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Bibliographic Details
Main Authors: Ball, Stephen, Williams, Teresa, Smith, K., Cameron, P., Fatovich, D., O'Halloran, Kay, Hendrie, Delia, Whiteside, A., Inoue, Madoka, Brink, D., Langridge, I., Pereira, Gavin, Tohira, Hideo, Chinnery, S., Bray, Janet, Bailey, P., Finn, Judith
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/33740
Description
Summary:© 2016 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.Objective: To compare chief complaints of the Medical Priority Dispatch System in terms of the match between dispatch priority and patient condition. Methods: This was a retrospective whole-of-population study of emergency ambulance dispatch in Perth, Western Australia, 1 January 2014 to 30 June 2015. Dispatch priority was categorised as either Priority 1 (high priority), or Priority 2 or 3. Patient condition was categorised as time-critical for patient(s) transported as Priority 1 to hospital or who died (and resuscitation was attempted by paramedics); else, patient condition was categorised as less time-critical. The ?2 statistic was used to compare chief complaints by false omission rate (percentage of Priority 2 or 3 dispatches that were time-critical) and positive predictive value (percentage of Priority 1 dispatches that were time-critical). We also reported sensitivity and specificity. Results: There were 211473 cases of dispatch. Of 99988 cases with Priority 2 or 3 dispatch, 467 (0.5%) were time-critical. Convulsions/seizures and breathing problems were highlighted as having more false negatives (time-critical despite Priority 2 or 3 dispatch) than expected from the overall false omission rate. Of 111485 cases with Priority 1 dispatch, 6520 (5.8%) were time-critical. Our analysis highlighted chest pain, heart problems/automatic implanted cardiac defibrillator, unknown problem/collapse, and headache as having fewer true positives (time-critical and Priority 1 dispatch) than expected from the overall positive predictive value. Conclusion: Scope for reducing under-triage and over-triage of ambulance dispatch varies between chief complaints of the Medical Priority Dispatch System. The highlighted chief complaints should be considered for future research into improving ambulance dispatch system performance.