Evidence map›Paper›PMID 38123903›Full record

ArticleInternal and emergency medicine2024

Effect of urgency level on prehospital emergency transport times: a natural experiment.

Jan Brink Valentin, Nanna Høgh Hansen, Anne Brink Behrndtz, Ulla Væggemose, Martin Faurholdt Gude

Abstract read
In one paragraph

Article in Internal and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Jan Brink Valentin *Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. jvalentin@dcm.aau.dk.ORCID 0000-0002-8205-7179
Nanna Høgh Hansen *Department of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark.
Anne Brink BehrndtzDepartment of Neurology, Aarhus University Hospital, Aarhus, Denmark.
Ulla VæggemoseDepartment of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark.
Martin Faurholdt GudeDepartment of Research and Development, Prehospital Emergency Medical Services, Central Denmark Region, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estimation of ambulance transport time from the scene of incident to arrival at the emergency department (ED) is important for effective resource management and emergency care system planning. Further, differences in transport times between different urgency levels highlight the benefits of ambulance transports with highest urgency level in a setting where ambulances are allowed to not follow standard traffic rules. The objective of the study is to compare ambulance urgency level on the differences in estimates of ambulance transport times generated by Google Maps and the observed transport times in a prehospital setting where emergency vehicles have their own traffic laws. The study was designed as a natural experiment and register study. Ambulance transports dispatched with different levels of urgency (Level A and B) were included in the Central Denmark Region (a mixed urban and rural area) from March 10 to June 11, 2021. Ambulance transports for highest urgency level were compared to lowest urgency level with Google Maps estimated transport times as reference. We analyzed 1981 highest urgency level and 8.958 lowest urgency level ambulance transports. Google Maps significantly overestimated the duration of transports operating at highest level of urgency (Level A) by 1.9 min/10 km (95% CI 1.8; 2.0) in average and 4.8 min/10 km (95% CI 3.9; 5.6) for the first driven 10 km. Contrary, Google Maps significantly underestimated the duration of transports operating at lowest level of urgency (Level B) by -1.8 min/10 km (95% CI -2.1; -1.5) in average and -4.4 min/10 km (95% CI -5.4; -3.5) for the first driven 10 km. Google Maps systematically overestimates transport times of ambulance transports driven with Level A, the highest level of urgency in a setting where ambulances are allowed to not follow standard traffic rules. The results highlight the benefit of using urgency Level A and provide valuable information for emergency care management.

Indexed as

Emergency Medical ServicesAmbulancesEmergency Service, HospitalHumansAmbulancesEmergency medical servicesEmergency servicesEMSEstimated time of arrivalGeographical information systemsGoogle MapsPrehospitalPrehospital emergency careTransportation of patients

Identifiers

PMID38123903
PMCPMC10954969

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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.