• Scand J Trauma Resus · Sep 2018

    Observational Study

    A novel method of non-clinical dispatch is associated with a higher rate of critical Helicopter Emergency Medical Service intervention.

    • Scott Munro, Mark Joy, Richard de Coverly, Mark Salmon, Julia Williams, and Richard M Lyon.
    • School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK.
    • Scand J Trauma Resus. 2018 Sep 25; 26 (1): 84.

    BackgroundHelicopter Emergency Medical Services (HEMS) are a scarce resource that can provide advanced emergency medical care to unwell or injured patients. Accurate tasking of HEMS is required to incidents where advanced pre-hospital clinical care is needed. We sought to evaluate any association between non-clinically trained dispatchers, following a bespoke algorithm, compared with HEMS paramedic dispatchers with respect to incidents requiring a critical HEMS intervention.MethodsRetrospective analysis of prospectively collected data from two 12-month periods was performed (Period one: 1st April 2014 - 1st April 2015; Period two: 1st April 2016 - 1st April 2017). Period 1 was a Paramedic-led dispatch process. Period 2 was a non-clinical HEMS dispatcher assisted by a bespoke algorithm. Kent, Surrey & Sussex HEMS (KSS HEMS) is tasked to approximately 2500 cases annually and operates 24/7 across south-east England. The primary outcome measure was incidence of a HEMS intervention.ResultsA total of 4703 incidents were included; 2510 in period one and 2184 in period two. Variation in tasking was reduced by introducing non-clinical dispatchers. There was no difference in median time from 999 call to HEMS activation between period one and two (period one; median 7 min (IQR 4-17) vs period two; median 7 min (IQR 4-18). Non-clinical dispatch improved accuracy of HEMS tasking to a mission where a critical care intervention was required (OR 1.25, 95% CI 1.04-1.51, p = 0.02).ConclusionThe introduction of non-clinical, HEMS-specific dispatch, aided by a bespoke algorithm improved accuracy of HEMS tasking. Further research is warranted to explore where this model could be effective in other HEMS services.

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