5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies.

          Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. 18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the Web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association.

            Despite the global impact and advances in understanding the pathophysiology of cerebrovascular diseases, the term "stroke" is not consistently defined in clinical practice, in clinical research, or in assessments of the public health. The classic definition is mainly clinical and does not account for advances in science and technology. The Stroke Council of the American Heart Association/American Stroke Association convened a writing group to develop an expert consensus document for an updated definition of stroke for the 21st century. Central nervous system infarction is defined as brain, spinal cord, or retinal cell death attributable to ischemia, based on neuropathological, neuroimaging, and/or clinical evidence of permanent injury. Central nervous system infarction occurs over a clinical spectrum: Ischemic stroke specifically refers to central nervous system infarction accompanied by overt symptoms, while silent infarction by definition causes no known symptoms. Stroke also broadly includes intracerebral hemorrhage and subarachnoid hemorrhage. The updated definition of stroke incorporates clinical and tissue criteria and can be incorporated into practice, research, and assessments of the public health.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Quality of the Finnish Hospital Discharge Register: a systematic review.

              Reijo Sund (2012)
              The Finnish Hospital Discharge Register (FHDR) is one of the oldest individual level hospital discharge registers and has been intensively used for research purposes. The aim of this study was to gather information concerning the quality of FHDR into one place in terms of a systematic review of validation studies that compare data to external information. Several reference databases were searched for validity articles published until January 2012. For each included study, focus of validation, register years examined, number of compared observations, external source(s) of data, summary of validation results, and conclusions concerning the validity of FHDR were extracted. In total, 32 different studies comparing FHDR data to external information were identified. Most of the studies examined validity in the case of vascular disease, mental disorders or injuries. More than 95% of discharges could be identified from the register. Positive predictive value (PPV) for common diagnoses was between 75 and 99%. Completeness and accuracy in the register seem to vary from satisfactory to very good in the register as long as the recognised limitations are taking into account. Poor recording of subsidiary diagnoses and secondary operations and other rarely used items are the most obvious limitations in validity, but do not compromise the value of data in FHDR in being used in studies that are not feasible to conduct otherwise.
                Bookmark

                Author and article information

                Contributors
                jouni.nurmi@hus.fi
                Journal
                Scand J Trauma Resusc Emerg Med
                Scand J Trauma Resusc Emerg Med
                Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
                BioMed Central (London )
                1757-7241
                12 April 2022
                12 April 2022
                2022
                : 30
                : 26
                Affiliations
                [1 ]GRID grid.410552.7, ISNI 0000 0004 0628 215X, Department of Perioperative Services, Intensive Care Medicine and Pain Management, , Turku University Hospital and University of Turku, ; Turku, Finland
                [2 ]FinnHEMS Ltd, HEMS Operations, Vantaa, Finland
                [3 ]Centre for Prehospital Emergency Care, Oulu, Finland
                [4 ]GRID grid.10858.34, ISNI 0000 0001 0941 4873, Research Group of Surgery, Anaesthesiology and Intensive Care, Division of Anesthesiology Oulu University Hospital, Medical Research Centre, , University of Oulu, ; Oulu, Finland
                [5 ]GRID grid.9668.1, ISNI 0000 0001 0726 2490, University of Eastern Finland, ; Kuopio, Finland
                [6 ]GRID grid.15485.3d, ISNI 0000 0000 9950 5666, Emergency Medicine and Services, , Helsinki University Hospital and University of Helsinki, ; FinnHEMS 10, Vesikuja 9, 01530 Vantaa, Finland
                Author information
                http://orcid.org/0000-0002-1920-4869
                Article
                1013
                10.1186/s13049-022-01013-5
                9006464
                35413859
                6c057307-239d-424e-9196-d541881fb09e
                © The Author(s) 2022

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 13 December 2021
                : 31 March 2022
                Funding
                Funded by: FinnHEMS Research and Development Unit
                Funded by: Helsinki University Hospital
                Award ID: state funding
                Award ID: VTR TYH2019243
                Categories
                Original Research
                Custom metadata
                © The Author(s) 2022

                Emergency medicine & Trauma
                air ambulances,emergency medical services,critical care,medical problem reporting,prehospital,documenting

                Comments

                Comment on this article