Lynne Moore1,2, Henry Thomas Stelfox3, David Evans4, Sayed Morad Hameed4, Natalie L Yanchar5, Richard Simons4, John Kortbeek6, Gilles Bourgeois7, Julien Clément8, François Lauzier2,9, Alexis F Turgeon2,9. 1. Department of Social and Preventative Medicine, Université Laval, Québec, Canada. 2. Axe Santé des Populations et Pratiques Optimales en Santé (Population Health and Optimal Health Practices Research Unit), Traumatologie-Urgence-Soins intensifs (Trauma-Emergency-Critical Care Medicine), Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec, Canada. 3. Department of Critical Care Medicine, Medicine and Community Health Sciences (HTS), Institute for Public Health, University of Calgary, Calgary, Alberta, Canada. 4. Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada. 5. Department of Surgery, Dalhousie University, Halifax, Nova Scotia, Canada. 6. Department of Surgery, Division of General Surgery and Division of Critical Care, University of Calgary, Calgary, Alberta, Canada. 7. Institut national d'excellence en santé et en services sociaux (INESSS), Québec, Canada. 8. Department of Surgery, Université Laval, Québec, Canada. 9. Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec, Canada.
Abstract
OBJECTIVE: To assess the variation in hospital and intensive care unit (ICU) length of stay (LOS) for injury admissions across Canadian provinces and to evaluate the relative contribution of patient case mix and treatment-related factors (intensity of care, complications, and discharge delays) to explaining observed variations. BACKGROUND: Identifying unjustified interprovider variations in resource use and the determinants of such variations is an important step towards optimizing health care. METHODS: We conducted a multicenter, retrospective cohort study on admissions for major trauma (injury severity score >12) to level I and II trauma centers across Canada (2006-2012). We used data from the Canadian National Trauma Registry linked to hospital discharge data to compare risk-adjusted hospital and ICU LOS across provinces. RESULTS: Risk-adjusted hospital LOS was shortest in Ontario (10.0 days) and longest in Newfoundland and Labrador (16.1 days; P < 0.001). Risk-adjusted ICU LOS was shortest in Québec (4.4 days) and longest in Alberta (6.1 days; P < 0.001). Patient case-mix explained 32% and 8% of interhospital variations in hospital and ICU LOS, respectively, whereas treatment-related factors explained 63% and 22%. CONCLUSIONS: We observed significant variation in risk-adjusted hospital and ICU LOS across trauma systems in Canada. Provider ranks on hospital LOS were not related to those observed for ICU LOS. Treatment-related factors explained more interhospital variation in LOS than patient case-mix. Results suggest that interventions targeting reductions in low-value procedures, prevention of adverse events, and better discharge planning may be most effective for optimizing LOS for injury admissions.
OBJECTIVE: To assess the variation in hospital and intensive care unit (ICU) length of stay (LOS) for injury admissions across Canadian provinces and to evaluate the relative contribution of patient case mix and treatment-related factors (intensity of care, complications, and discharge delays) to explaining observed variations. BACKGROUND: Identifying unjustified interprovider variations in resource use and the determinants of such variations is an important step towards optimizing health care. METHODS: We conducted a multicenter, retrospective cohort study on admissions for major trauma (injury severity score >12) to level I and II trauma centers across Canada (2006-2012). We used data from the Canadian National Trauma Registry linked to hospital discharge data to compare risk-adjusted hospital and ICU LOS across provinces. RESULTS: Risk-adjusted hospital LOS was shortest in Ontario (10.0 days) and longest in Newfoundland and Labrador (16.1 days; P < 0.001). Risk-adjusted ICU LOS was shortest in Québec (4.4 days) and longest in Alberta (6.1 days; P < 0.001). Patient case-mix explained 32% and 8% of interhospital variations in hospital and ICU LOS, respectively, whereas treatment-related factors explained 63% and 22%. CONCLUSIONS: We observed significant variation in risk-adjusted hospital and ICU LOS across trauma systems in Canada. Provider ranks on hospital LOS were not related to those observed for ICU LOS. Treatment-related factors explained more interhospital variation in LOS than patient case-mix. Results suggest that interventions targeting reductions in low-value procedures, prevention of adverse events, and better discharge planning may be most effective for optimizing LOS for injury admissions.
Authors: Lynne Moore; Howard Champion; Pier-Alexandre Tardif; Brice-Lionel Kuimi; Gerard O'Reilly; Ari Leppaniemi; Peter Cameron; Cameron S Palmer; Fikri M Abu-Zidan; Belinda Gabbe; Christine Gaarder; Natalie Yanchar; Henry Thomas Stelfox; Raul Coimbra; John Kortbeek; Vanessa K Noonan; Amy Gunning; Malcolm Gordon; Monty Khajanchi; Teegwendé V Porgo; Alexis F Turgeon; Luke Leenen Journal: World J Surg Date: 2018-05 Impact factor: 3.352
Authors: Jeroen T J M van Dijck; Mark D Dijkman; Robbin H Ophuis; Godard C W de Ruiter; Wilco C Peul; Suzanne Polinder Journal: PLoS One Date: 2019-05-09 Impact factor: 3.240
Authors: Aleksandar R Zivkovic; Karsten Schmidt; Thomas Stein; Matthias Münzberg; Thorsten Brenner; Markus A Weigand; Stefan Kleinschmidt; Stefan Hofer Journal: Sci Rep Date: 2019-07-18 Impact factor: 4.379
Authors: Jeroen T J M van Dijck; Cassidy Q B Mostert; Alexander P A Greeven; Erwin J O Kompanje; Wilco C Peul; Godard C W de Ruiter; Suzanne Polinder Journal: Acta Neurochir (Wien) Date: 2020-05-14 Impact factor: 2.216