{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:32:35Z","timestamp":1787319155985,"version":"build-2736575974"},"reference-count":50,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,5,24]],"date-time":"2018-05-24T00:00:00Z","timestamp":1527120000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Anaesthesiol Scand"],"published-print":{"date-parts":[[2018,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      The wide disparity in the methodology of preventable death analysis has created a lack of comparability among previous studies. The guidelines for the peer review (\n                      <jats:styled-content style=\"fixed-case\">PR<\/jats:styled-content>\n                      ) procedure suggest the inclusion of risk\u2010adjustment methods to identify patients to review, that is, exclude non\u2010preventable deaths (probability of survival [Ps]\u00a0&lt;\u00a025%) or focus on preventable deaths (Ps\u00a0&gt;\u00a050%). We aimed to, through\n                      <jats:styled-content style=\"fixed-case\">PR<\/jats:styled-content>\n                      process, (1) identify preventable death and errors committed in a level\u2010I trauma centre, and (2) explore the use of different risk\u2010adjustment methods as a complement.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A multidisciplinary committee reviewed all trauma patients, which died a trauma\u2010related death, within 30\u00a0days of admission to Karolinska University Hospital, Stockholm, in the period of 2012\u20102016. Ps was calculated according to\n                      <jats:styled-content style=\"fixed-case\">TRISS<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">NORMIT<\/jats:styled-content>\n                      and their accuracy where compared.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Two hundred and ninety\u2010eight deaths were identified and 252 were reviewed. The majority of deaths occurred between 1 and 7\u00a0days. Ten deaths (4.0%) were classified as preventable. Sixty\u2010seven errors were identified in 53 (21.0%) deaths. The most common error was inappropriate treatment in all deaths (21 of 67) and in preventable deaths (5 of 13). Median Ps in non\u2010preventable deaths was higher than the cut\u2010off (&lt;25%) and Ps\u2010\n                      <jats:styled-content style=\"fixed-case\">TRISS<\/jats:styled-content>\n                      was almost twice as high as Ps\u2010\n                      <jats:styled-content style=\"fixed-case\">NORMIT<\/jats:styled-content>\n                      (65% vs 33%,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a0.001). Two clinically judged preventable deaths with Ps &lt;25% would have been missed with both models. Median Ps in preventable deaths was above the cut\u2010off (&gt;50%) and higher with Ps\u2010\n                      <jats:styled-content style=\"fixed-case\">TRISS<\/jats:styled-content>\n                      vs Ps\u2010\n                      <jats:styled-content style=\"fixed-case\">NORMIT<\/jats:styled-content>\n                      (75% vs 58%,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a0.001). Three and 4 clinically judged preventable deaths would have been missed, respectively, for\n                      <jats:styled-content style=\"fixed-case\">TRISS<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">NORMIT<\/jats:styled-content>\n                      , if using this cut\u2010off.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Preventable deaths were commonly caused by clinical judgment errors in the early phases but death occurred late. Ps calculated with\n                      <jats:styled-content style=\"fixed-case\">NORMIT<\/jats:styled-content>\n                      was more accurate than\n                      <jats:styled-content style=\"fixed-case\">TRISS<\/jats:styled-content>\n                      in predicting mortality, but both perform poorly in identifying preventable and non\u2010preventable deaths when applying the cut\u2010offs.\n                      <jats:styled-content style=\"fixed-case\">PR<\/jats:styled-content>\n                      of all trauma death is still the golden standard in preventability analysis.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aas.13151","type":"journal-article","created":{"date-parts":[[2018,5,24]],"date-time":"2018-05-24T23:14:27Z","timestamp":1527203667000},"page":"1146-1153","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Analysis of preventable deaths and errors in trauma care in a Scandinavian trauma level\u2010I centre"],"prefix":"10.1111","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2102-7168","authenticated-orcid":false,"given":"P.","family":"Ghorbani","sequence":"first","affiliation":[{"name":"Division of Surgery Department of Clinical Science, Intervention and Technology (CLINTEC) Karolinska Institute Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Str\u00f6mmer","sequence":"additional","affiliation":[{"name":"Division of Surgery Department of Clinical Science, Intervention and Technology (CLINTEC) Karolinska Institute Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,5,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9610(80)90431-6"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9610(82)90558-X"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/TA.0b013e31815078ae"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/PTS.0000000000000053"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0b013e31828df98e"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005373-198306000-00011"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1985.03360080071032"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1097\/00000658-199110000-00015"},{"key":"e_1_2_9_10_1","unstructured":"World Health Organization (WHO).Guidelines for trauma quality improvement programmes.http:\/\/www.who.int\/violence_injury_prevention\/publications\/services\/guidelines_traumacare\/en\/. 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