ArticleScandinavian journal of trauma, resuscitation and emergency medicine2018
Development and implementation of a geographical area categorisation method with targeted performance indicators for nationwide EMS in Finland.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Urban-rural dichotomy of emergency medical service demand: spatiotemporal patterns and heterogeneous driving mechanisms.BMC public health · 2026Article
- A scenario based approach to optimizing cost-effectiveness of physician-staffed Helicopter Emergency Medical Services compared to ground-based Emergency Medical Services in Finland.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024Article
- The recovery processes among paramedics who encountered violence during work-a narrative interview study.Journal of occupational medicine and toxicology (London, England) · 2024Article
- The development of emergency medical services benefit score: a European Delphi study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2021Article
- The selection of an optimal transportation strategy in urgent stroke missions: a simulation study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn Finland, hospital districts (HD) are required by law to determine the level and availability of Emergency Medical Services (EMS) for each 1-km
methodsNational databases of EMS missions, population and buildings were combined with an existing nationwide 1-km
resultsIn total, 87.3% of the population lives and 87.5% of missions took place in core or other urban areas, which covered only 4.7% of the HDs' surface area. Trauma mission incidence per 1000 inhabitants was higher in core urban areas (42.2) than in other urban (24.2) or dispersed settlement areas (24.6). The results were similar for non-trauma missions (134.8, 93.2 and 92.2, respectively). Each cell category had a characteristic mission profile. High-energy trauma missions and cardiac problems were more common in rural and uninhabited cells, while violence, intoxication and non-specific problems dominated in urban areas.
conclusionThe proposed area categories and grid-based data collection appear to be a useful method for evaluating EMS demand and availability in different parts of the country for statistical purposes. Due to a similar rural/urban area definition, the method might also be usable for comparison between the Nordic countries.
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