Evidence map›Paper›PMID 26530307›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2015

Why and when citizens call for emergency help: an observational study of 211,193 medical emergency calls.

Thea Palsgaard Møller, Annette Kjær Ersbøll, Janne Schurmann Tolstrup, Doris Østergaard, Søren Viereck, Jerry Overton, Fredrik Folke, Freddy Lippert

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Trial
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  4. Do callers to out-of-hours care misuse an option to jump the phone queue?Scandinavian journal of primary health care · 2019
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  18. Emergency call utilization over a 10-years period: an observational study in Region Zealand, Denmark, 2013-2022.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Observational
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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

8 authors.

Thea Palsgaard MøllerEmergency Medical Services Copenhagen, University of Copenhagen, Copenhagen, Denmark. thea.palsgaard.moeller@regionh.dk.
Annette Kjær ErsbøllNational Institute of Public health, University of Southern Denmark, Copenhagen, Denmark. ake@si-folkesundhed.dk.
Janne Schurmann TolstrupNational Institute of Public health, University of Southern Denmark, Copenhagen, Denmark. jst@si-folkesundhed.dk.
Doris ØstergaardDanish Institute for Medical Simulation, University of Copenhagen, Copenhagen, Denmark. doris.OEstergaard@regionh.dk.
Søren ViereckEmergency Medical Services Copenhagen, University of Copenhagen, Copenhagen, Denmark. soeren.viereck@regionh.dk.
Jerry OvertonInternational Academies of Emergency Dispatch, Salt Lake City, Utah, USA. Jerry.Overton@emergencydispatch.org.
Fredrik FolkeEmergency Medical Services Copenhagen, University of Copenhagen, Copenhagen, Denmark. ff@heart.dk.
Freddy LippertEmergency Medical Services Copenhagen, University of Copenhagen, Copenhagen, Denmark. freddy.lippert@regionh.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA medical emergency call is citizens' access to pre-hospital emergency care and ambulance services. Emergency medical dispatchers are gatekeepers to provision of pre-hospital resources and possibly hospital admissions. We explored causes for access, emergency priority levels, and temporal variation within seasons, weekdays, and time of day for emergency calls to the emergency medical dispatch center in Copenhagen in a two-year study period (December 1(st), 2011 to November 30(th), 2013).

methodsDescriptive analysis was performed for causes for access and emergency priority levels. A Poisson regression model was used to calculate adjusted ratio estimates for the association between seasons, weekdays, and time of day overall and stratified by emergency priority levels.

resultsWe analyzed 211,193 emergency calls for temporal variation. Of those, 167,635 calls were eligible for analysis of causes and emergency priority level. "Unclear problem" was the most frequent category (19%). The five most common causes with known origin were categorized as "Wounds, fractures, minor injuries" (13%), "Chest pain/heart disease" (11%), "Accidents" (9%), "Intoxication, poisoning, drug overdose" (8%), and "Breathing difficulties" (7%). The highest emergency priority levels (Emergency priority level A and B) were assigned in 81% of calls. In the analysis of temporal variation, the total number of calls peaked at wintertime (26%), Saturdays (16%), and during daytime (39%).

conclusionThe pattern of citizens' contact causes fell into four overall categories: unclear problems, medical problems, intoxication and accidents. The majority of calls were urgent. The magnitude of unclear problems represents a modifiable factor and highlights the potential for further improvement of supportive dispatch priority tools or educational interventions at dispatch centers. Temporal variation was identified within seasons, weekdays and time of day and reflects both system load and disease occurrence. Data on contact patterns could be utilized in a public health perspective, benchmarking of EMS systems, and ultimately development of best practice in the area of emergency medicine.

Indexed as

EmergenciesAmbulancesDatabases, FactualDenmarkEmergency Medical Service Communication SystemsEmergency Medical ServicesFemaleHumansIncidenceMalePoisson DistributionQuality ControlRetrospective StudiesRisk FactorsSeasonsTime Factors

Identifiers

PMID26530307
PMCPMC4632270

What OpenQuestion holds

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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.