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Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses
BACKGROUND: Prehospital 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 presente...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006464/ https://www.ncbi.nlm.nih.gov/pubmed/35413859 http://dx.doi.org/10.1186/s13049-022-01013-5 |
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author | Tommila, Miretta Pappinen, Jukka Raatiniemi, Lasse Saviluoto, Anssi Toivonen, Tuukka Björkman, Johannes Nurmi, Jouni |
author_facet | Tommila, Miretta Pappinen, Jukka Raatiniemi, Lasse Saviluoto, Anssi Toivonen, Tuukka Björkman, Johannes Nurmi, Jouni |
author_sort | Tommila, Miretta |
collection | PubMed |
description | BACKGROUND: Prehospital 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. METHODS: This 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. RESULTS: A 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. CONCLUSIONS: Medical problems reported by HEMS personnel have adequate correspondence to hospital discharge diagnoses. However, the classification of cerebrovascular accidents remains challenging. |
format | Online Article Text |
id | pubmed-9006464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90064642022-04-14 Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses Tommila, Miretta Pappinen, Jukka Raatiniemi, Lasse Saviluoto, Anssi Toivonen, Tuukka Björkman, Johannes Nurmi, Jouni Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Prehospital 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. METHODS: This 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. RESULTS: A 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. CONCLUSIONS: Medical problems reported by HEMS personnel have adequate correspondence to hospital discharge diagnoses. However, the classification of cerebrovascular accidents remains challenging. BioMed Central 2022-04-12 /pmc/articles/PMC9006464/ /pubmed/35413859 http://dx.doi.org/10.1186/s13049-022-01013-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Original Research Tommila, Miretta Pappinen, Jukka Raatiniemi, Lasse Saviluoto, Anssi Toivonen, Tuukka Björkman, Johannes Nurmi, Jouni Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title | Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title_full | Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title_fullStr | Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title_full_unstemmed | Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title_short | Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
title_sort | standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006464/ https://www.ncbi.nlm.nih.gov/pubmed/35413859 http://dx.doi.org/10.1186/s13049-022-01013-5 |
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