{"id":10603,"date":"2021-12-15T17:21:54","date_gmt":"2021-12-15T17:21:54","guid":{"rendered":"https:\/\/research.christianacare.org\/publications\/2021\/12\/15\/analysis-of-factors-associated-with-length-of-stay-of-opioid-related-emergency-department-visits\/"},"modified":"2021-12-15T17:21:54","modified_gmt":"2021-12-15T17:21:54","slug":"analysis-of-factors-associated-with-length-of-stay-of-opioid-related-emergency-department-visits","status":"publish","type":"post","link":"https:\/\/research.christianacare.org\/publications\/2021\/12\/15\/analysis-of-factors-associated-with-length-of-stay-of-opioid-related-emergency-department-visits\/","title":{"rendered":"Analysis of Factors Associated With Length of Stay of Opioid-Related Emergency Department Visits"},"content":{"rendered":"<p>Subedi K<\/p>\n<p>Cureus 2021 Jul;13(7):e16213<\/p>\n<p>PMID: <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/34367814\" title=\"\">34367814<\/a><\/p>\n<h2>Abstract<\/h2>\n<p><p><strong>INTRODUCTION AND OBJECTIVE:<\/strong> \u00a0Emergency department (ED) length of stay (LOS) is an important indicator of the quality of care in ED and is associated with patients&#8217; outcomes and healthcare costs. However, there is limited data on how the patient characteristics affect the ED LOS of opioid-related visits. This study aims to\u00a0identify and quantify the effect of patient-related characteristics on LOS of opioid-related ED visits.<\/p>\n<p><strong>METHODS:<\/strong> \u00a0This is a retrospective analysis of electronic health records (EHR) of patients with diagnoses of opioid abuse. The study included patients with a diagnosis of opioid abuse who visited the ED at Christiana Care Hospital from January 1, 2017, to December 31, 2018 (N=5,661). The opioid-related visits were identified using ICD-10 diagnosis codes. We used accelerated failure time (AFT) models, a time-to-event analysis approach to evaluate the relationships of different patient characteristics with ED LOS.<\/p>\n<p><strong>RESULTS:<\/strong> \u00a0The mean age of the study population was 39 years. The study population had 40% female, 20% Black\/African American, and 5% Hispanic or Latino. The prevalence of co-use of cocaine and co-use of alcohol was 11%, and 9%, respectively. Also, 58% had mental health comorbidity, and 1% were homeless. The distribution of ED LOS was right-skewed with a median of 4.3 (IQR: 2.6, 6.8). Co-use of alcohol (time ratio, TR: 1.31, CI: 1.23-1.40), co-use of cocaine (TR: 1.18, CI: 1.11-1.25), the presence of mental health comorbidity (TR: 1.05, CI 1.01-1.09), and homelessness (TR: 1.57, CI: 1.32-1.86) were associated with increased ED LOS.<\/p>\n<p><strong>CONCLUSIONS:<\/strong> Co-use of alcohol, co-use of cocaine, homelessness, and mental health comorbidity are associated with the longer LOS of opioid-related ED visits.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Subedi K Cureus 2021 Jul;13(7):e16213 PMID: 34367814 Abstract INTRODUCTION AND OBJECTIVE: \u00a0Emergency department (ED) length of stay (LOS) is an important indicator of the quality of care in ED and is associated with patients&#8217; outcomes and healthcare costs. However, there is limited data on how the patient characteristics affect the ED LOS of opioid-related visits.<\/p>\n<p><a class=\"more-link\" href=\"https:\/\/research.christianacare.org\/publications\/2021\/12\/15\/analysis-of-factors-associated-with-length-of-stay-of-opioid-related-emergency-department-visits\/\">Continue reading <span class=\"screen-reader-text\">Analysis of Factors Associated With Length of Stay of Opioid-Related Emergency Department Visits<\/span><\/a><\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[41],"tags":[],"class_list":["post-10603","post","type-post","status-publish","format-standard","hentry","category-ireach"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/10603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/comments?post=10603"}],"version-history":[{"count":0,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/10603\/revisions"}],"wp:attachment":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/media?parent=10603"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/categories?post=10603"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/tags?post=10603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}