Evidence map›Paper›PMID 37308937›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2023

Nine golden codes: improving the accuracy of Helicopter Emergency Medical Services (HEMS) dispatch-a retrospective, multi-organisational study in the East of England.

Christopher T Edmunds, Kate Lachowycz, Sarah McLachlan, Andrew Downes, Andrew Smith, Rob Major, Edward B G Barnard

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Prehospital critical care dispatch: a scoping review (PHASE).Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Christopher T EdmundsDepartment of Research, Audit, Innovation, and Development, East Anglian Air Ambulance, Gambling Close, Norwich Airport, Norwich, NR6 6EG, UK. toby.edmunds@eaaa.org.uk.ORCID http://orcid.org/0000-0001-9754-6971
Kate LachowyczDepartment of Research, Audit, Innovation, and Development, East Anglian Air Ambulance, Gambling Close, Norwich Airport, Norwich, NR6 6EG, UK.
Sarah McLachlanEssex & Herts Air Ambulance Trust, Colchester, Essex, UK.
Andrew DownesDepartment of Research, Audit, Innovation, and Development, East Anglian Air Ambulance, Gambling Close, Norwich Airport, Norwich, NR6 6EG, UK.
Andrew SmithMagpas Air Ambulance, Huntingdon, UK.
Rob MajorDepartment of Research, Audit, Innovation, and Development, East Anglian Air Ambulance, Gambling Close, Norwich Airport, Norwich, NR6 6EG, UK.
Edward B G BarnardDepartment of Research, Audit, Innovation, and Development, East Anglian Air Ambulance, Gambling Close, Norwich Airport, Norwich, NR6 6EG, UK.ORCID http://orcid.org/0000-0002-5187-1952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHelicopter Emergency Medical Services (HEMS) are a limited and expensive resource, and should be intelligently tasked. HEMS dispatch was identified as a key research priority in 2011, with a call to identify a 'general set of criteria with the highest discriminating potential'. However, there have been no published data analyses in the past decade that specifically address this priority, and this priority has been reaffirmed in 2023. The objective of this study was to define the dispatch criteria available at the time of the initial emergency call with the greatest HEMS utility using a large, regional, multi-organizational dataset in the UK.

methodsThis retrospective observational study utilized dispatch data from a regional emergency medical service (EMS) and three HEMS organisations in the East of England, 2016-2019. In a logistic regression model, Advanced Medical Priority Dispatch System (AMPDS) codes with ≥ 50 HEMS dispatches in the study period were compared with the remainder to identify codes with high-levels of HEMS patient contact and HEMS-level intervention/drug/diagnostic (HLIDD). The primary outcome was to identify AMPDS codes with a > 10% HEMS dispatch rate of all EMS taskings that would result in 10-20 high-utility HEMS dispatches per 24-h period in the East of England. Data were analysed in R, and are reported as number (percentage); significance was p < 0.05.

resultsThere were n = 25,491 HEMS dispatches (6400 per year), of which n = 23,030 (90.3%) had an associated AMPDS code. n = 13,778 (59.8%) of HEMS dispatches resulted in patient contact, and n = 8437 (36.6%) had an HLIDD. 43 AMPDS codes had significantly greater rates of patient contact and/or HLIDD compared to the reference group. In an exploratory analysis, a cut-off of ≥ 70% patient contact rate and/or ≥ 70% HLIDD (with a > 10% HEMS dispatch of all EMS taskings) resulted in 17 taskings per 24-h period. This definition derived nine AMPDS codes with high HEMS utility.

conclusionWe have identified nine 'golden' AMPDS codes, available at the time of initial emergency call, that are associated with high-levels of whole-system and HEMS utility in the East of England. We propose that UK EMS should consider immediate HEMS dispatch to these codes.

Indexed as

Emergency Medical DispatchEmergency Medical ServicesAircraftEnglandHumansRetrospective StudiesAir ambulancesEmergency medical dispatchEmergency medical servicesPrehospital emergency care

Identifiers

PMID37308937
PMCPMC10258975

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.