{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T22:43:01Z","timestamp":1791931381426,"version":"4.3.4"},"reference-count":33,"publisher":"BMJ","issue":"9","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2019,8,16]]},"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Rising emergency medical services (EMS) utilisation increases transport to hospital emergency departments (ED). However, some patients receive outpatient treatment (discharged) while others are hospitalised (admitted). The aims of this analysis were to compare admitted and discharged cases, to assess whether cases that were discharged from the ED could be identified using dispatch data and to compare dispatch keyword categories and hospital diagnoses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Retrospective observational study using linked secondary data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting and participants<\/jats:title>\n                    <jats:p>78 303 cases brought to 1 of 14 ED in the city of Munich, Germany, by EMS between 1 July 2013 and 30 June 2014.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Main outcome measures<\/jats:title>\n                    <jats:p>Characteristics of admitted and discharged cases were assessed. Logistic regression was used to estimate the association between discharge and age, sex, time of day, ambulance type and dispatch keyword category. Keyword categories were compared to hospital diagnoses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>39.4% of cases were discharged. They were especially likely to be young (OR 10.53 (CI 9.31 to 11.92), comparing &lt;15-year-olds to &gt;70-year-olds) and to fall under the categories \u2018accidents\/trauma\u2019 (OR 2.87 (CI 2.74 to 3.01)) or \u2018other emergencies (unspecified)\u2019 (OR 1.23 (CI 1.12 to 1.34) (compared with \u2018cardiovascular\u2019). Most frequent diagnoses came from chapter \u2018injury and poisoning\u2019 (30.1%) of the 10th revision of the international statistical classification of disease and related health problems (ICD-10), yet these diagnoses were more frequent at discharge (42.7 vs 22.0%) whereas circulatory system disease was less frequent (2.6 vs 21.8%). Except for accidents\/trauma and intoxication\/poisoning many underlying diagnoses were observed for the same dispatch keyword.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Young age and dispatch for accidents or trauma were the strongest predictors of discharge. Even within the same dispatch keyword category the distribution of diagnoses differed between admitted and discharged cases. Discharge from the ED does not indicate that urgent response was unnecessary. However, these cases could be suitable for allocation to hospitals with low inpatient bed capacities and are of particular interest for future studies regarding the urgency of their condition.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2019-030636","type":"journal-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T14:05:30Z","timestamp":1569593130000},"page":"e030636","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":22,"title":["Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport"],"prefix":"10.1136","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1820-5947","authenticated-orcid":false,"given":"Kathrin","family":"Hegenberg","sequence":"first","affiliation":[{"name":"Institut f\u00fcr Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat M\u00fcnchen, Klinikum der Universit\u00e4t M\u00fcnchen, Munchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6395-6873","authenticated-orcid":false,"given":"Heiko","family":"Trentzsch","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat M\u00fcnchen, Klinikum der Universit\u00e4t M\u00fcnchen, Munchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5128-7625","authenticated-orcid":false,"given":"Stephan","family":"Pr\u00fcckner","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat M\u00fcnchen, Klinikum der Universit\u00e4t M\u00fcnchen, Munchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2019,9,27]]},"reference":[{"key":"2025121401284953000_9.9.e030636.1","unstructured":"Sachverst\u00e4ndigendrat zur Begutachtung der Entwicklung im Gesundheitswesen . 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