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      Hospital admission on weekends for patients who have surgery and 30-day mortality in Ontario, Canada: A matched cohort study

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          Abstract

          Background

          Healthcare interventions on weekends have been associated with increased mortality and adverse clinical outcomes, but these findings are inconsistent. We hypothesized that patients admitted to hospital on weekends who have surgery have an increased risk of death compared with patients who are admitted and have surgery on weekdays.

          Methods and findings

          This matched cohort study included 318,202 adult patients from Ontario health administrative and demographic databases, admitted to acute care hospitals from 1 January 2005 to 31 December 2015. A total of 159,101 patients who were admitted on weekends and underwent noncardiac surgery were classified by day of surgery (weekend versus weekday) and matched 1:1 to patients who both were admitted and had surgery on a weekday (Tuesday to Thursday); matching was based on age (in years), anesthesia basic unit value for the surgical procedure, median neighborhood household income quintile, resource utilization band (a ranking system of overall morbidity), rurality of home location, year of admission, and urgency of admission. Of weekend admissions, 16.2% (25,872) were elective and 53.9% (85,744) had surgery on the weekend of admission. The primary outcome was all-cause mortality within 30 days of the date of hospital admission. The 30-day all-cause mortality for patients admitted on weekends who had noncardiac surgery was 2.6% (4,211/159,101) versus 2.5% (3,901/159,101) for those who were admitted and had surgery on weekdays (adjusted odds ratio [OR] 1.05; 95% CI 1.00 to 1.11; P = 0.03). However, there was significant heterogeneity in the increased odds of death according to the urgency of admission and when surgery was performed (weekend versus weekday). For urgent admissions on weekends ( n = 133,229), there was no significant increase in odds of mortality when surgery was performed on the weekend (adjusted OR 1.02; 95% CI 0.95 to 1.09; P = 0.7) or on a subsequent weekday (adjusted OR 1.05; 95% CI 0.98 to 1.12; P = 0.2) compared to urgent admissions on weekdays. Elective admissions on weekends ( n = 25,782) had increased risk of death both when surgery was performed on the weekend (adjusted OR 3.30; 95% CI 1.98 to 5.49; P < 0.001) and when surgery was performed on a subsequent weekday (adjusted OR 2.70; 95% CI 1.81 to 4.03; P < 0.001). The main limitations of this study were the lack of data regarding reason for admission and cause of increased time interval from admission to surgery for some cases, the small number of deaths in some subgroups (i.e., elective surgery), and the possibility of residual unmeasured confounding from increased illness severity for weekend admissions.

          Conclusions

          When patients have surgery during their hospitalization, admission on weekends in Ontario, Canada, was associated with a small but significant proportional increase in 30-day all-cause mortality, but there was significant heterogeneity in outcomes depending on the urgency of admission and when surgery was performed. An increased risk of death was found only for elective admissions on weekends; whether this is a function of patient-level factors or represents a true weekend effect needs to be further elucidated. These findings have potential implications for resource allocation in hospitals and the redistribution of elective surgery to weekends.

          Abstract

          In their cohort study, James Daniel O'Leary find that data stratification leads to fuller insight into the 'weekend effect' of increased mortality following hospital admission and surgery.

          Author summary

          Why was this study done?
          • There is ongoing debate about whether a weekend effect found in most observational research studies reflects actual differences in healthcare outcomes on the weekend or is a data artifact from using administrative datasets.

          • The possibility of a weekend effect continues to inform the allocation of hospital resources, healthcare policies, and clinical practices.

          What did the researchers do and find?
          • We used provincial administrative healthcare and demographic databases in Ontario, Canada, from 2005 to 2015 to assemble a cohort of 159,101 adults who were admitted on weekends and had surgery performed during their hospital stay on the same weekend or a subsequent weekday, and who were matched directly to adults with weekday admissions and surgery.

          • We found an increase in the crude mortality rate for all weekend admissions, but there was significant heterogeneity in adjusted outcomes according to the urgency of weekend admission and when surgery was performed (weekend versus weekday).

          • For urgent admissions on weekends, there was no significant increase in the adjusted odds of death. However, elective admissions on weekends were associated with clinically important increases in odds of death compared with weekday admissions.

          What do these findings mean?
          • The proportional increase in the adjusted mortality rate for weekend admissions was lower than that found in most previous observational studies using administrative data.

          • However, stratification of these findings in the current study suggests that only elective admissions on weekends are associated with an increase in odds of death.

          • Whether the increased risk of death found for elective admissions on weekends is a factor of increased illness severity in this population, requiring preoperative optimization, or a true weekend effect needs to be elucidated in further studies.

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          Most cited references23

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          Early mortality after hip fracture: is delay before surgery important?

          Hip fracture is associated with high mortality among the elderly. Most patients require surgery, but the timing of the operation remains controversial. Surgery within twenty-four hours after admission has been recommended, but evidence supporting this approach is lacking. The objective of this study was to determine whether a delay in surgery for hip fractures affects postoperative mortality among elderly patients. We conducted a prospective, observational study of 2660 patients who underwent surgical treatment of a hip fracture at one university hospital. We measured mortality rates following the surgery in relation to the delay in the surgery and the acute medical comorbidities on admission. The mortality following the hip fracture surgery was 9% (246 of 2660) at thirty days, 19% at ninety days, and 30% at twelve months. Of the patients who had been declared fit for surgery, those operated on without delay had a thirty-day mortality of 8.7% and those for whom the surgery had been delayed between one and four days had a thirty-day mortality of 7.3%. This difference was not significant (p = 0.51). The thirty-day mortality for patients for whom the surgery had been delayed for more than four days was 10.7%, and this small group had significantly increased mortality at ninety days (hazard ratio = 2.25; p = 0.001) and one year (hazard ratio = 2.4; p = 0.001). Patients who had been admitted with an acute medical comorbidity that required treatment prior to the surgery had a thirty-day mortality of 17%, which was nearly 2.5 times greater than that for patients who had been initially considered fit for surgery (hazard ratio = 2.3, 95% confidence interval = 1.6 to 3.3; p < 0.001). The thirty-day mortality following surgery for a hip fracture was 9%. Patients with medical comorbidities that delayed surgery had 2.5 times the risk of death within thirty days after the surgery compared with patients without comorbidities that delayed surgery. Mortality was not increased when the surgery was delayed up to four days for patients who were otherwise fit for hip fracture surgery. However, a delay of more than four days significantly increased mortality.
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            Day of week of procedure and 30 day mortality for elective surgery: retrospective analysis of hospital episode statistics

            Objectives To assess the association between mortality and the day of elective surgical procedure. Design Retrospective analysis of national hospital administrative data. Setting All acute and specialist English hospitals carrying out elective surgery over three financial years, from 2008-09 to 2010-11. Participants Patients undergoing elective surgery in English public hospitals. Main outcome measure Death in or out of hospital within 30 days of the procedure. Results There were 27 582 deaths within 30 days after 4 133 346 inpatient admissions for elective operating room procedures (overall crude mortality rate 6.7 per 1000). The number of weekday and weekend procedures decreased over the three years (by 4.5% and 26.8%, respectively). The adjusted odds of death were 44% and 82% higher, respectively, if the procedures were carried out on Friday (odds ratio 1.44, 95% confidence interval 1.39 to 1.50) or a weekend (1.82, 1.71 to 1.94) compared with Monday. Conclusions The study suggests a higher risk of death for patients who have elective surgical procedures carried out later in the working week and at the weekend.
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              Mortality associated with delay in operation after hip fracture: observational study.

              To estimate the number of deaths and readmissions associated with delay in operation after femoral fracture. Analysis of inpatient hospital episode statistics. NHS hospital trusts in England with at least 100 admissions for fractured neck of femur during the study period. Patients People aged > or = 65 admitted from home with fractured neck of femur and discharged between April 2001 and March 2004. In hospital mortality and emergency readmission within 28 days. There were 129,522 admissions for fractured neck of femur in 151 trusts with 18,508 deaths in hospital (14.3%). Delay in operation was associated with an increased risk of death in hospital, which was reduced but persisted after adjustment for comorbidity. For all deaths in hospital, the odds ratio for more than one day's delay relative to one day or less was 1.27 (95% confidence interval 1.23 to 1.32) after adjustment for comorbidity. The proportion with more than two days' delay ranged from 1.1% to 62.4% between trusts. If death rates in patients with at most one day's delay had been repeated throughout all 151 trusts in this study, there would have been an average of 581 (478 to 683) fewer total deaths per year (9.4% of the total). There was little evidence of an association between delay and emergency readmission. Delay in operation is associated with an increased risk of death but not readmission after a fractured neck of femur, even with adjustment for comorbidity, and there is wide variation between trusts.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                29 January 2019
                January 2019
                : 16
                : 1
                : e1002731
                Affiliations
                [1 ] Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
                [2 ] Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
                [3 ] Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
                [4 ] Department of Critical Care Medicine, Sunnybrook Health Sciences, Toronto, Ontario, Canada
                Massachusetts General Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-9801-5312
                http://orcid.org/0000-0001-6576-5299
                http://orcid.org/0000-0001-5404-9828
                Article
                PMEDICINE-D-18-01384
                10.1371/journal.pmed.1002731
                6350956
                30695035
                5be80e9a-2dc5-4a18-bd9e-99a2667abd90
                © 2019 O’Leary et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 April 2018
                : 19 December 2018
                Page count
                Figures: 0, Tables: 2, Pages: 14
                Funding
                Funded by: The Curtis Joseph and Harold Groves Chair in Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto
                Award Recipient :
                This study is supported by The Curtis Joseph and Harold Groves Chair in Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, held by MWC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
                Categories
                Research Article
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Obstetric Procedures
                People and places
                Geographical locations
                North America
                Canada
                Ontario
                Medicine and Health Sciences
                Anesthesiology
                Anesthesia
                Medicine and Health Sciences
                Pharmaceutics
                Drug Therapy
                Anesthesia
                Medicine and Health Sciences
                Health Care
                Health Statistics
                Morbidity
                People and places
                Geographical locations
                North America
                Canada
                Custom metadata
                The de-identified dataset from this study is held securely at the ICES Data Repository. Datasets provided by ICES were linked using unique encoded identifiers and analyzed at ICES. While data sharing agreements prohibit ICES from making the dataset publicly available, access may be granted to those who meet pre-specified criteria for confidential access, available at www.ices.on.ca/DAS. The dataset creation plan and analytic plan have been made available with this manuscript.

                Medicine
                Medicine

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