Emergency department crowding and mortality in 14 Swedish emergency departments, a cohort study leveraging the Swedish Emergency Registry (SVAR)
There is evidence that emergency department (ED) crowding is associated with increased mortality, however large multicenter studies of high quality are scarce. In a prior study, we introduced a proxy-measure for crowding that was associated with increased mortality. The national registry SVAR enable...
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description | There is evidence that emergency department (ED) crowding is associated with increased mortality, however large multicenter studies of high quality are scarce. In a prior study, we introduced a proxy-measure for crowding that was associated with increased mortality. The national registry SVAR enables us to study the association in a more heterogenous group of EDs with more recent data. The aim is to investigate the association between ED crowding and mortality.
This was an observational cohort study including visits from 14 EDs in Sweden 2015-2019. Crowding was defined as the mean ED-census divided with expected ED-census during the work-shift that the patient arrived. The crowding exposure was categorized in three groups: low, moderate and high. Hazard ratios (HR) for mortality within 7 and 30 days were estimated with a cox proportional hazards model. The model was adjusted for age, sex, triage priority, arrival hour, weekend, arrival mode and chief complaint. Subgroup analysis by county and for admitted patients by county were performed.
2,440,392 visits from 1,142,631 unique patients were analysed. A significant association was found between crowding and 7-day mortality but not with 30-day mortality. Subgroup analysis also yielded mixed results with a clear association in only one of the three counties. The estimated HR (95% CI) for 30-day mortality for admitted patients in this county was 1.06 (1.01-1.12) in the moderate crowding category, and 1.11 (1.01-1.22) in the high category.
The association between crowding and mortality may not be universal. Factors that influence the association between crowding and mortality at different EDs are still unknown but a high hospital bed occupancy, impacting admitted patients may play a role. |
doi_str_mv | 10.1371/journal.pone.0247881 |
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This was an observational cohort study including visits from 14 EDs in Sweden 2015-2019. Crowding was defined as the mean ED-census divided with expected ED-census during the work-shift that the patient arrived. The crowding exposure was categorized in three groups: low, moderate and high. Hazard ratios (HR) for mortality within 7 and 30 days were estimated with a cox proportional hazards model. The model was adjusted for age, sex, triage priority, arrival hour, weekend, arrival mode and chief complaint. Subgroup analysis by county and for admitted patients by county were performed.
2,440,392 visits from 1,142,631 unique patients were analysed. A significant association was found between crowding and 7-day mortality but not with 30-day mortality. Subgroup analysis also yielded mixed results with a clear association in only one of the three counties. The estimated HR (95% CI) for 30-day mortality for admitted patients in this county was 1.06 (1.01-1.12) in the moderate crowding category, and 1.11 (1.01-1.22) in the high category.
The association between crowding and mortality may not be universal. Factors that influence the association between crowding and mortality at different EDs are still unknown but a high hospital bed occupancy, impacting admitted patients may play a role.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0247881</identifier><identifier>PMID: 33690653</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adverse events ; Anestesi och intensivvård ; Anesthesiology and Intensive Care ; Biology and Life Sciences ; Censuses ; Clinical Medicine ; Cohort analysis ; Complaints ; Crowding ; Drafting software ; Editing ; Emergency medical care ; Emergency medical services ; Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ; Health risks ; Hospital size ; Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi ; Hälsovetenskap ; Influence ; Klinisk medicin ; Mathematical analysis ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Medicine ; Medicine and Health Sciences ; Methodology ; Mortality ; Patients ; People and places ; Research and Analysis Methods ; Risk factors ; Social aspects ; Supervision ; Survival analysis</subject><ispartof>PloS one, 2021-03, Vol.16 (3), p.e0247881-e0247881</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 af Ugglas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 af Ugglas et al 2021 af Ugglas et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c849t-c77de60cc8cdbe12d3c4b836f79241f6ef03f11fceb6590f36615f56769f4d293</citedby><cites>FETCH-LOGICAL-c849t-c77de60cc8cdbe12d3c4b836f79241f6ef03f11fceb6590f36615f56769f4d293</cites><orcidid>0000-0003-2841-0661</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946203/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946203/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33690653$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/583c3c59-e527-4c46-b4ec-f94095c010ac$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:146272397$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Orueta, Juan F.</contributor><creatorcontrib>Af Ugglas, Björn</creatorcontrib><creatorcontrib>Lindmarker, Per</creatorcontrib><creatorcontrib>Ekelund, Ulf</creatorcontrib><creatorcontrib>Djärv, Therese</creatorcontrib><creatorcontrib>Holzmann, Martin J</creatorcontrib><title>Emergency department crowding and mortality in 14 Swedish emergency departments, a cohort study leveraging the Swedish Emergency Registry (SVAR)</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>There is evidence that emergency department (ED) crowding is associated with increased mortality, however large multicenter studies of high quality are scarce. In a prior study, we introduced a proxy-measure for crowding that was associated with increased mortality. The national registry SVAR enables us to study the association in a more heterogenous group of EDs with more recent data. The aim is to investigate the association between ED crowding and mortality.
This was an observational cohort study including visits from 14 EDs in Sweden 2015-2019. Crowding was defined as the mean ED-census divided with expected ED-census during the work-shift that the patient arrived. The crowding exposure was categorized in three groups: low, moderate and high. Hazard ratios (HR) for mortality within 7 and 30 days were estimated with a cox proportional hazards model. The model was adjusted for age, sex, triage priority, arrival hour, weekend, arrival mode and chief complaint. Subgroup analysis by county and for admitted patients by county were performed.
2,440,392 visits from 1,142,631 unique patients were analysed. A significant association was found between crowding and 7-day mortality but not with 30-day mortality. Subgroup analysis also yielded mixed results with a clear association in only one of the three counties. The estimated HR (95% CI) for 30-day mortality for admitted patients in this county was 1.06 (1.01-1.12) in the moderate crowding category, and 1.11 (1.01-1.22) in the high category.
The association between crowding and mortality may not be universal. 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Björn</au><au>Lindmarker, Per</au><au>Ekelund, Ulf</au><au>Djärv, Therese</au><au>Holzmann, Martin J</au><au>Orueta, Juan F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Emergency department crowding and mortality in 14 Swedish emergency departments, a cohort study leveraging the Swedish Emergency Registry (SVAR)</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-03-10</date><risdate>2021</risdate><volume>16</volume><issue>3</issue><spage>e0247881</spage><epage>e0247881</epage><pages>e0247881-e0247881</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>There is evidence that emergency department (ED) crowding is associated with increased mortality, however large multicenter studies of high quality are scarce. In a prior study, we introduced a proxy-measure for crowding that was associated with increased mortality. The national registry SVAR enables us to study the association in a more heterogenous group of EDs with more recent data. The aim is to investigate the association between ED crowding and mortality.
This was an observational cohort study including visits from 14 EDs in Sweden 2015-2019. Crowding was defined as the mean ED-census divided with expected ED-census during the work-shift that the patient arrived. The crowding exposure was categorized in three groups: low, moderate and high. Hazard ratios (HR) for mortality within 7 and 30 days were estimated with a cox proportional hazards model. The model was adjusted for age, sex, triage priority, arrival hour, weekend, arrival mode and chief complaint. Subgroup analysis by county and for admitted patients by county were performed.
2,440,392 visits from 1,142,631 unique patients were analysed. A significant association was found between crowding and 7-day mortality but not with 30-day mortality. Subgroup analysis also yielded mixed results with a clear association in only one of the three counties. The estimated HR (95% CI) for 30-day mortality for admitted patients in this county was 1.06 (1.01-1.12) in the moderate crowding category, and 1.11 (1.01-1.22) in the high category.
The association between crowding and mortality may not be universal. Factors that influence the association between crowding and mortality at different EDs are still unknown but a high hospital bed occupancy, impacting admitted patients may play a role.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33690653</pmid><doi>10.1371/journal.pone.0247881</doi><tpages>e0247881</tpages><orcidid>https://orcid.org/0000-0003-2841-0661</orcidid><oa>free_for_read</oa></addata></record> |
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source | Directory of Open Access Journals; SWEPUB Freely available online; Public Library of Science (PLoS) Journals Open Access; Free E-Journal (出版社公開部分のみ); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adverse events Anestesi och intensivvård Anesthesiology and Intensive Care Biology and Life Sciences Censuses Clinical Medicine Cohort analysis Complaints Crowding Drafting software Editing Emergency medical care Emergency medical services Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi Health risks Hospital size Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi Hälsovetenskap Influence Klinisk medicin Mathematical analysis Medical and Health Sciences Medicin och hälsovetenskap Medicine Medicine and Health Sciences Methodology Mortality Patients People and places Research and Analysis Methods Risk factors Social aspects Supervision Survival analysis |
title | Emergency department crowding and mortality in 14 Swedish emergency departments, a cohort study leveraging the Swedish Emergency Registry (SVAR) |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A16%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Emergency%20department%20crowding%20and%20mortality%20in%2014%20Swedish%20emergency%20departments,%20a%20cohort%20study%20leveraging%20the%20Swedish%20Emergency%20Registry%20(SVAR)&rft.jtitle=PloS%20one&rft.au=Af%20Ugglas,%20Bj%C3%B6rn&rft.date=2021-03-10&rft.volume=16&rft.issue=3&rft.spage=e0247881&rft.epage=e0247881&rft.pages=e0247881-e0247881&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0247881&rft_dat=%3Cgale_plos_%3EA654518941%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2499870312&rft_id=info:pmid/33690653&rft_galeid=A654518941&rft_doaj_id=oai_doaj_org_article_b28546ec6d514c56b3a58f099c5d06df&rfr_iscdi=true |