Evidence map›Paper›PMID 26191488›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health

The demographic impact on the demand for emergency medical services in the urban and rural regions of Bavaria, 2012-2032.

Alexander Veser, Florian Sieber, Stefan Groß, Stephan Prückner

Abstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Observational
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  12. Apart from the Medical Complaints, Why do Patients Use Emergency Medical Services? Results of a Patient Survey.Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2022
    Article
  13. Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Coverage versus response time objectives in ambulance location.International journal of health geographics · 2021
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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

4 authors.

Alexander VeserInstitute for Emergency Medicine and Management in Medicine - INM, Klinikum der Universität München, Schillerstr. 53, 80336 Munich, Germany.
Florian SieberInstitute for Emergency Medicine and Management in Medicine - INM, Klinikum der Universität München, Schillerstr. 53, 80336 Munich, Germany.
Stefan GroßInstitute for Emergency Medicine and Management in Medicine - INM, Klinikum der Universität München, Schillerstr. 53, 80336 Munich, Germany.
Stephan PrücknerInstitute for Emergency Medicine and Management in Medicine - INM, Klinikum der Universität München, Schillerstr. 53, 80336 Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIn most regions of the world, the proportion of older people in the population has increased during the last decades. As this entails major consequences for the healthcare sector, this study isolates and quantifies the impact of an aging population on the demand for emergency medical services in different types of regions in Bavaria between 2012 and 2032.

methodsDispatch data of the emergency medical services were combined with population data and forecasts. Age-specific rates of emergency ambulance dispatches were calculated and used for a 20-year-projection for all 71 rural and 25 urban districts of Bavaria. Tests for differences between these two types of regions were applied.

resultsPer capita rates of emergency ambulance dispatches in urban regions tend to be higher and there is an urban-rural distinction in the rates of specific age groups. The projection predicted an overall increase in emergency ambulance dispatches by 21 % in Bavaria within 20 years, solely due to demographic effects. At the regional level, this demographic impact ranged from about -3 % to +41 %. There is a clear urban-rural distinction and the 28 regions with the strongest increase are all rural regions.

conclusionThe substantial demographic impact in combination with strong urban-rural variations should be accounted for in regional long-term planning as well as age-group specific innovation in the emergency medical services. As demography is not the only significant demand factor, the identification and quantification of other factors remains a challenge for further research.

Indexed as

Demand trendsDemographyEmergency medical servicesRegional health planningSocioeconomic factorsUrban–rural differences

Identifiers

PMID26191488
PMCPMC4502287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.