Evidence map›Paper›PMID 35413859›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2022

Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses.

Miretta Tommila, Jukka Pappinen, Lasse Raatiniemi, Anssi Saviluoto, Tuukka Toivonen, Johannes Björkman, Jouni Nurmi

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2022. 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

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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
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

7 authors.

Miretta TommilaDepartment of Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland.
Jukka PappinenFinnHEMS Ltd, HEMS Operations, Vantaa, Finland.
Lasse RaatiniemiCentre for Prehospital Emergency Care, Oulu, Finland.
Anssi SaviluotoFinnHEMS Ltd, HEMS Operations, Vantaa, Finland.
Tuukka ToivonenFinnHEMS Ltd, HEMS Operations, Vantaa, Finland.
Johannes BjörkmanFinnHEMS Ltd, HEMS Operations, Vantaa, Finland.
Jouni NurmiFinnHEMS Ltd, HEMS Operations, Vantaa, Finland. jouni.nurmi@hus.fi.ORCID http://orcid.org/0000-0002-1920-4869

Funding

Helsinki University Hospital state fundingHelsinki University Hospital VTR TYH2019243
6 · The paper itself

Abstract

backgroundPrehospital medical problem reporting is essential in the management of helicopter emergency medical services (HEMS) operations. The consensus-based template for reporting and documenting in physician-staffed prehospital services exists and the classification of medical problems presented in the template is widely used in research and quality improvement. However, validation of the reported prehospital medical problem is lacking. This study aimed to describe the in-hospital diagnoses, patient characteristics and medical interventions in different categories of medical problems.

methodsThis retrospective, observational registry study examined the 10 most common in-hospital International Statistical Classification of Disease (ICD-10) diagnoseswithin different prehospital medical problem categories, defined by the HEMS physician/paramedic immediately after the mission was completed. Data were gathered from a national HEMS quality registry and a national hospital discharge registry. Patient characteristics and medical interventions related to different medical problem categories are also described.

resultsA total of 33,844 patients were included in the analyses. All the medical problem categories included a broad spectrum of ICD-10 diagnoses (the number of diagnosis classes per medical problem category ranged from 73 to 403). The most frequent diagnoses were mainly consistent with the reported medical problems. Overlapping of ICD-10 diagnoses was mostly seen in two medical problem categories: stroke and acute neurology excluding stroke. Additionally, typical patient characteristics and disturbances in vital signs were related to adequate medical problem categories.

conclusionsMedical problems reported by HEMS personnel have adequate correspondence to hospital discharge diagnoses. However, the classification of cerebrovascular accidents remains challenging.

Indexed as

Air AmbulancesEmergency Medical ServicesStrokeCritical CareHumansPatient DischargeRegistriesRetrospective StudiesAir ambulancesCritical careDocumentingEmergency medical servicesMedical problem reportingPrehospital

Identifiers

PMID35413859
PMCPMC9006464

What OpenQuestion holds

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Registered trials

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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.