{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T10:16:14Z","timestamp":1654596974966},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care structure and organizational factors may influence a clinician\u2019s NRE reporting behavior, their role has not been systematically studied. We conducted a retrospective study relying on NREs and electronic health records to determine if perioperative interaction structures among clinicians are associated with the frequency of NRE reporting in a large academic medical center. The data covers November 1, 2016, to January 31, 2019 and includes 295 perioperative clinicians, 225 neonatal surgical cases, and 543 NREs. Using network analysis, we measured a clinician\u2019s status in interaction structures according to the sociometric factors of degree, betweenness, and eigenvector centrality. We applied a proportional odds model to measure the relationship between each sociometric factor and NRE reporting frequency. Our findings indicate that the centrality of clinicians is directly associated with the quantity of NREs per surgical case.<\/jats:p>","DOI":"10.3233\/shti220096","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:31:43Z","timestamp":1654594303000},"source":"Crossref","is-referenced-by-count":0,"title":["Perioperative Care Structures and Non-Routine Events: Network Analysis"],"prefix":"10.3233","author":[{"given":"You","family":"Chen","sequence":"first","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]},{"given":"Mhd Wael","family":"Alrifai","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]},{"given":"Yang","family":"Gong","sequence":"additional","affiliation":[{"name":"The University of Texas Health Science Center at Houston, TX, USA"}]},{"given":"Rhodes","family":"Evan","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]},{"given":"Jason","family":"Slagle","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]},{"given":"Bradley","family":"Malin","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]},{"given":"Daniel","family":"France","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Nashville, TN, USA"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220096","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:31:44Z","timestamp":1654594304000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220096"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220096","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}