The timing of patient interventions can significantly affect outcomes. A study in the United Kingdom showed that patients discharged from intensive care units at night had a higher hospital mortality than those discharged during the day.1 In a study of acute care admissions from emergency departments in Ontario, patients with some serious medical conditions were more likely to die in hospital if they were admitted on a weekend than if they were admitted on a weekday.2
Do patients discharged on Fridays have worse outcomes than those discharged on other days? Friday is the most common hospital discharge day.3 More discharges could result in patients receiving fewer discharge instructions from hospital staff.4 Perhaps because of decreased staffing on weekends5 and physician cross-coverage, patients may be preferentially discharged on Fridays rather than on subsequent weekend days. Some patients discharged on Fridays could therefore leave hospital before they are fully stable. Also, new home health and social support services for weekend discharges often are not initiated until the following Monday. Such a delay may result in poor outcomes for patients discharged on Fridays who need these services initiated immediately.
For this study we used anonymous data from population-based administrative databases for Ontario. Data for all adults discharged from hospital to the community between Mar. 1, 1990, and Mar. 1, 2000, were extracted from the Discharge Abstract Database (DAD), which records all discharges from Ontario hospitals. For patients with 2 or more admissions, we randomly chose 1 admission for each patient using a random-number generator. Only nonelective admissions were included in the study.
We used proportional hazards modelling to determine the association between discharge day and nonelective readmission to hospital (measured using the DAD) or death (measured using the Registered Patient Database) within 30 days after discharge while controlling for potential confounders. These confounders were determined from the DAD and included age, sex, comorbidities (measured using the Charlson–Deyo score6), nonelective hospital admission during the 6 months before the index admission, length of stay, whether a procedure was performed and whether a complication occurred. In the proportional hazards model, patients were observed for 30 days after discharge or until the occurrence of an event (nonelective readmission or death). Databases were linked using common patient identifiers. The study was approved by the Sunnybrook & Women's College Health Sciences Centre Research Ethics Board.
A total of 2 403 181 patients met our inclusion criteria. Friday was the most common discharge day (Fig. 1). Overall, 7.1% of the patients had an event (5.4% were readmitted, 1.7% died) in the 30 days following discharge. Compared with the reference group (people discharged on Wednesdays), those discharged on Fridays were significantly more likely to have an event (hazard ratio 1.04, 95% confidence interval 1.02–1.05) (Fig. 1). This effect was independent of patient and hospital admission factors (Table 1).
Table 1.
Fig. 1: Risk of death or nonelective hospital readmission within 30 days after discharge from hospital, by day of discharge. Bars represent proportion of discharges by day of the week. Hazard ratios (HRs) of death or readmission within 30 days (diamonds) and 95% confidence intervals (error bars) are relative to Wednesday discharges. The HRs are independent of patient factors (e.g., age, sex, comorbidities and previous hospital admission) and hospital admission factors (e.g., length of stay, presence of complication or procedure, and teaching status of hospital) but are not independent of the volume of discharges on that day.
Patients discharged from hospital on Fridays had an increased independent risk of death or nonelective hospital readmission within 30 days after discharge. This may have been because these patients were less medically stable than those discharged on other days or because the discharge preparation was incomplete owing to competing demands on clinicians' and hospital staff's time from multiple discharges on Fridays. It could also be due to a delay in implementing social services. Until further research clarifies why Friday discharges are associated with worse outcomes than are discharges on other days, we suggest that clinicians keep this observation in mind if they consider pushing to get patients home for the weekend.
Footnotes
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This article has been peer reviewed.
Contributors: Both authors contributed to the study concept and design, the analysis and interpretation of data, the drafting and revising of the manuscript and the approval of the final version.
Acknowledgements: Dr. van Walraven is an Ontario Ministry of Health Career Scientist. Dr. Bell is the recipient of Clinician-Scientist Awards from the Canadian Institutes of Health Research and the Department of Medicine, University of Toronto.
Competing interests: None declared.