Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Outcomes are Worse in US Patients Undergoing Surgery on Weekends Compared With Weekdays

Bibliographic Data

ID9099575
AuthorsLaurent G Glance (0000-0003-3381-699X, Department of Anesthesiology, University of Rochester School of Medicine, Rochester, NY, corresponding author), Turner Osler (University of Vermont), Yue Li (0009-0004-9365-9070, Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY), Stewart J Lustik (0000-0001-5368-5355, Department of Anesthesiology, University of Rochester School of Medicine, Rochester, NY, corresponding author), Michael P Eaton (0000-0002-3705-9933, Department of Anesthesiology, University of Rochester School of Medicine, Rochester, NY, corresponding author), Richard P Dutton (0000-0002-9523-9078, US Anesthesia Partners, Dallas, TX), Andrew W Dick (RAND Health, RAND, Boston, MA)
Year2016
Volume54
Issue6
Pages608-615
Publication date2016-06-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000532
PMID27111750
OpenAlexW2338842605
LanguageEN
Citations received1
References cited24

BACKGROUND: Increasing surgical access to previously underserved populations in the United States may require a major expansion of the use of operating rooms on weekends to take advantage of unused capacity. Although the so-called weekend effect for surgery has been described in other countries, it is unknown whether US patients undergoing moderate-to-high risk surgery on weekends are more likely to experience worse outcomes than patients undergoing surgery on weekdays. OBJECTIVE: The aim of this study was to determine whether patients undergoing surgery on weekends are more likely to die or experience a major complication compared with patients undergoing surgery on a weekday. RESEARCH DESIGN: Using all-payer data, we conducted a retrospective cohort study of 305,853 patients undergoing isolated coronary artery bypass graft surgery, colorectal surgery, open repair of abdominal aortic aneurysm, endovascular repair of abdominal aortic aneurysm, and lower extremity revascularization. We compared in-hospital mortality and major complications for weekday versus weekend surgery using multivariable logistic regression analysis. RESULTS: After controlling for patient risk and surgery type, weekend elective surgery [adjusted odds ratio (AOR)=3.18; 95% confidence interval (CI), 2.26-4.49; P<0.001] and weekend urgent surgery (AOR=2.11; 95% CI, 1.68-2.66; P<0.001) were associated with a higher risk of death compared with weekday surgery. Weekend elective (AOR=1.58; 95% CI, 1.29-1.93; P<0.001) and weekend urgent surgery (AOR=1.61; 95% CI, 1.42-1.82; P<0.001) were also associated with a higher risk of major complications compared with weekday surgery. CONCLUSIONS: Patients undergoing nonemergent major cardiac and noncardiac surgery on the weekends have a clinically significantly increased risk of death and major complications compared with patients undergoing surgery on weekdays. These findings should prompt decision makers to seek to better understand factors, such physician and nurse staffing, which may contribute to the weekend effect

Abdominal aortic aneurysm · Abdominal surgery · Aneurysm · Cardiac surgery · Confidence interval · Elective surgery · Logistic regression · Myocardial infarction · Odds ratio · Retrospective cohort study · Revascularization · Vascular surgery · Weekend effect · Emergency Medicine · Enhanced Recovery After Surgery · Healthcare Operations and Scheduling Optimization · Hospital Admissions and Outcomes · Internal Medicine · Medicine · Surgery

  • Weekend Surgical Care and Postoperative Mortality

    Open Access•Stephen A Smith, Jennifer M Yamamoto et al.•Medical Care•2018

  • Elective, Major Noncardiac Surgery on the Weekend

    Daniel I McIsaac, Gregory L Bryson et al.•Medical Care•2014

  • The Association of Registered Nurse Staffing Levels and Patient Outcomes

    Robert L Kane, Tatyana A Shamliyan et al.•Medical Care•2007

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

Citations per year0.13
Citation span2018 - 2018 (1)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae