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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006048naa a2200625 4500
001oai:gup.ub.gu.se/321293
003SwePub
008240528s2022 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:150751163
009oai:DiVA.org:liu-189072
024a https://gup.ub.gu.se/publication/3212932 URI
024a https://doi.org/10.1007/s00068-022-02081-z2 DOI
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1507511632 URI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1890722 URI
040 a (SwePub)gud (SwePub)kid (SwePub)liu
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Montán, Kristina Lennquistu Linköpings universitet,Karolinska Inst, Sweden4 aut0 (Swepub:liu)n/a
2451 0a A method for detailed determination of hospital surge capacity: a prerequisite for optimal preparedness for mass-casualty incidents
264 c 2022-09-26
264 1b Springer Science and Business Media LLC,c 2022
500 a Funding Agencies|Karolinska Institute; Swedish Civil Contingencies Agency (Myndigheten for samhallsskydd och beredskap) [2015-6984]
520 a Background Defined goals for hospitals' ability to handle mass-casualty incidents (MCI) are a prerequisite for optimal planning as well as training, and also as base for quality assurance and improvement. This requires methods to test individual hospitals in sufficient detail to numerically determine surge capacity for different components of the hospitals. Few such methods have so far been available. The aim of the present study was with the use of a simulation model well proven and validated for training to determine capacity-limiting factors in a number of hospitals, identify how these factors were related to each other and also possible measures for improvement of capacity. Materials and methods As simulation tool was used the MACSIM (R) system, since many years used for training in the international MRMI courses and also successfully used in a pilot study of surge capacity in a major hospital. This study included 6 tests in three different hospitals, in some before and after re-organisation, and in some both during office- and non-office hours. Results The primary capacity-limiting factor in all hospitals was the capacity to handle severely injured patients (major trauma) in the emergency department. The load of such patients followed in all the tests a characteristic pattern with "peaks" corresponding to ambulances return after re-loading. Already the first peak exceeded the hospitals capacity for major trauma, and the following peaks caused waiting times for such patients leading to preventable mortality according to the patient-data provided by the system. This emphasises the need of an immediate and efficient coordination of the distribution of casualties between hospitals. The load on surgery came in all tests later, permitting either clearing of occupied theatres (office hours) or mobilising staff (non-office hours) sufficient for all casualties requiring immediate surgery. The final capacity-limiting factors in all tests was the access to intensive care, which also limited the capacity for surgery. On a scale 1-10, participating staff evaluated the accuracy of the methodology for test of surge capacity to MD 8 (IQR 2), for improvement of disaster plans to MD 9 (IQR 2) and for simultaneous training to MD 9 (IQR 3). Conclusions With a simulation system including patient data with a sufficient degree of detail, it was possible to identify and also numerically determine the critical capacity-limiting factors in the different phases of the hospital response to MCI, to serve as a base for planning, training, quality control and also necessary improvement to rise surge capacity of the individual hospital.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicin0 (SwePub)3022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicine0 (SwePub)3022 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kirurgi0 (SwePub)302122 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Surgery0 (SwePub)302122 hsv//eng
653 a Major incident
653 a Mass casualty incident
653 a Disaster
653 a Surge capacity
653 a Hospital capacity
653 a Simulation
653 a Training
653 a Hospital preparedness
653 a Hospital
653 a contingency
653 a disaster
653 a system
653 a Emergency Medicine
653 a Major incident; Mass casualty incident; Disaster; Surge capacity; Hospital capacity; Simulation; Training; Hospital preparedness; Hospital contingency
700a Örtenwall, Per,d 1951u Linköpings universitet,Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för kirurgi,Institute of Clinical Sciences, Department of Surgery,Univ Gothenburg, Sweden4 aut0 (Swepub:liu)n/a
700a Blimark, Magnusu Linköpings universitet,Swedish Armed Forces, Sweden4 aut0 (Swepub:liu)n/a
700a Montán, Carlu Linköpings universitet,Swedish Armed Forces, Sweden4 aut0 (Swepub:liu)n/a
700a Lennquist, Stenu Linköpings universitet,Karolinska Inst, Sweden4 aut0 (Swepub:liu)stele69
710a Linköpings universitetb Karolinska Inst, Sweden4 org
773t European Journal of Trauma and Emergency Surgeryd : Springer Science and Business Media LLCx 1863-9933x 1863-9941
856u http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191371y Correction
856u https://liu.diva-portal.org/smash/get/diva2:1702483/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://gup.ub.gu.se/publication/321293
8564 8u https://doi.org/10.1007/s00068-022-02081-z
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:150751163
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189072

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