Evidence map›Paper›PMID 39019642›Full record

ArticleBMJ open2024

How do different navigation systems affect emergency response time? A prospective simulation study.

Anke van Mark, Tim Hallstein, Fabian Holzgreve, David A Groneberg, Daniela Ohlendorf

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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.

Anke van MarkInstitute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany.
Tim HallsteinInstitute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany.
Fabian HolzgreveInstitute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany.ORCID 0000-0002-1115-131X
David A GronebergInstitute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany.
Daniela OhlendorfInstitute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany ohlendorf@med.uni-frankfurt.de.ORCID 0000-0002-2281-9880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere has not been a theoretical test run in Germany that compares different navigation systems with an industry solution (MapTrip112). The aim of this study was to compare navigation systems to elucidate whether the emergency response time (ERT) was reduced and, consequently, whether the adherence to the travel time improved.

designProspective, simulation study, cross-sectional study.

settingOffices of the Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt (60 590 Frankfurt am Main, Germany). The situation-adaptable industry navigation solution MapTrip112 was tested in its 'Lights and Siren(s) (L&S)' mode in comparison to the TomTom and Google Maps navigation systems. MapTrip112 was set to calculate a route that takes special emergency rights of way into account. OUTCOME MEASURES: All three navigation systems simultaneously calculated the distances and durations of fictitious routes. Three scenarios were tested: the University Hospital Frankfurt (60 596 Frankfurt am Main, Germany) and the Central Fire Station 1 (60435 Frankfurt am Main, Germany) served as the starting points for the urban routes, while the Odenwald Health Centre (64 711 Erbach, Germany) served as the starting point for rural routes. The routes' endpoints were arbitrarily chosen locations inside the customary operational radius. The routes were selected for short and long distances as well as for different periods, including weekdays, weekends and evening rush hour (4-7 pm), in the German cities of Frankfurt am Main and Odenwaldkreis (Southern Hesse).

resultsThe time and distance were calculated for a total of 4650 trips. When comparing travel times and distances between rural and urban areas as well as between weekdays and weekends, statistically significant results were obtained (p<0.001). With time advantages ranging from 23.5 s to 300.5 s (4.75% to 50% of the travel time) on weekdays and weekends, MapTrip112 consistently outperformed both TomTom and Google Maps. For city missions, MapTrip112 achieved time gains of up to 50% over its competitors, with significant advantages during the rush hours and around specific locations such as the University Hospital Frankfurt and Fire Station 1.

conclusionMapTrip112 always achieved the fastest routes although these were not always accompanied by a shortened distance. These findings underscore MapTrip112's superiority in providing efficient routing solutions across various scenarios. For this reason, the use of this software should be considered in practice and investigated in real-world conditions in further studies.

Indexed as

Computer SimulationCross-Sectional StudiesEmergency Medical ServicesGermanyHumansProspective StudiesTime Factorshealth services accessibilityoccupational & industrial medicineorganisation of health servicespublic hospitals

Identifiers

PMID39019642
PMCPMC11256065

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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.