Evidence map›Paper›PMID 40996067›Full record

ArticleEpidemiology (Cambridge, Mass.)2025

Does Delayed Response Due to Busy Ambulances Impact Risk of Death and Hospital Service Use?: A Cohort Study of 240,000 Medical Emergencies.

Andreas Asheim, Lars Eide Næss, Andreas Krüger, Oddvar Uleberg, Jostein Dale, Helge Haugland, Ole Erik Ulvin, Sara Marie Nilsen, Gudrun Maria Waaler Bjørnelv, Jon-Ola Wattø and 1 more

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

11 authors.

Andreas AsheimFrom the Centre for Health Care Improvement, St. Olav's University Hospital, Trondheim, Norway.ORCID 0000-0001-7682-6958
Lars Eide NæssDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.ORCID 0000-0002-5779-7271
Andreas KrügerDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.ORCID 0000-0002-6232-6327
Oddvar UlebergDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.ORCID 0000-0002-7913-5957
Jostein DaleDepartment of Emergency Medicine and Prehospital Services, St. Olav's University Hospital, Trondheim, Norway.ORCID 0000-0001-7685-0122
Helge HauglandDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.ORCID 0000-0002-5869-6675
Ole Erik UlvinDepartment of Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway.ORCID 0000-0002-8721-4217
Sara Marie NilsenFrom the Centre for Health Care Improvement, St. Olav's University Hospital, Trondheim, Norway.ORCID 0000-0001-6762-9645
Gudrun Maria Waaler BjørnelvDepartment of Health Management and Health Economics, University of Oslo, Oslo, Norway.
Jon-Ola WattøDepartment of Emergency Medicine and Prehospital Services, St. Olav's University Hospital, Trondheim, Norway.
Johan Håkon BjørngaardDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2646-2954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWhen ground ambulances are busy with any task, delays are likely for concurrent emergencies. Whereas time-critical conditions are affected by delays, general impacts remain unclear. We aimed to assess how delayed ambulance response due to busy ambulances affects risk of death and use of hospital services.

methodsWe studied individuals with out-of-hospital emergencies that precipitated a call to the medical emergency number in Central Norway from 2013 to 2022. Emergency service and hospital data were linked to assess subsequent death and hospitalizations. We addressed potential bias by multivariable adjustment and a natural experiment: For emergencies that occurred in the same area at similar times, we compared outcomes for patients with differences in busy ambulances to analyze delays in response that were arguably unrelated to prioritization due to the patient severity.

resultsAmong 239,320 acute emergencies, 4.1% of patients died within 7 days. An interquartile range of variation in the probability a busy ambulance was associated with a 2.9-minute delay (95% confidence interval [CI] = 2.8, 3.0). Overall, a 5-minute delay was associated with a risk difference of 0.10 percentage points in the risk of death (95% CI = -0.17, 0.36) and 1.24 for hospitalization (95% CI = 0.59, 1.94). The cost of hospital treatment within 1 year increased by 616 euros (95% CI = 183, 1069).

conclusionWhile we found no substantial increase in the overall risk of death associated with delayed ambulance response, the observed rise in hospital costs suggests a potential increase in morbidity.

Indexed as

AmbulancesEmergenciesEmergency Medical ServicesEmergency Service, HospitalHospitalizationAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedNorwayTime FactorsYoung AdultAmbulance response timeBusy ambulanceEmergency medical dispatchEmergency medical servicesHospital costsMortality

Identifiers

PMID40996067
PMCPMC12459146

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.