How much do operational processes affect hospital inpatient discharge rates?

Background The objective of this study is to determine the effect of day of the week, holiday, team admission and rotation schedules, individual attending physicians and their length of coverage on daily team discharge rates. Methods We conducted a retrospective analysis of the General Internal Medi...

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Bibliographic Details
Published in:Journal of public health (Oxford, England) England), 2009-12, Vol.31 (4), p.546-553
Main Authors: Wong, Hannah, Wu, Robert C., Tomlinson, George, Caesar, Michael, Abrams, Howard, Carter, Michael W., Morra, Dante
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Coverage
day of the week
discharge rate
Doctors
Female
Healthy Service Quality
holiday
Holidays
Hospital Administration
Hospitalization
Hospitals
Hospitals, General
Humans
Internal Medicine
Male
Middle Aged
Multivariate Analysis
Ontario
operational efficiency
Patient Discharge - trends
Retrospective Studies
scheduling
Teams
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Summary:Background The objective of this study is to determine the effect of day of the week, holiday, team admission and rotation schedules, individual attending physicians and their length of coverage on daily team discharge rates. Methods We conducted a retrospective analysis of the General Internal Medicine (GIM) inpatient service at our institution for years 2005 and 2006, which included 5088 patients under GIM care. Results Weekend discharge rate was more than 50% lower compared with reference rates whereas Friday rates were 24% higher. Holiday Monday discharge rates were 65% lower than regular Mondays, with an increase in pre-holiday discharge rates. Teams that were on-call or that were on call the next day had 15% higher discharge rates compared with reference whereas teams that were post-call had 20% lower rates. Individual attending physicians and length of attending coverage contributed small variations in discharge rates. Resident scheduling was not a significant predictor of discharge rates. Conclusions Day of the week and holidays followed by team organization and scheduling are significant predictors of daily variation in discharge rates. Introducing greater holiday and weekend capacity as well as reorganizing internal processes such as admitting and attending schedules may potentially optimize discharge rates.
ISSN:1741-3842
1741-3850
DOI:10.1093/pubmed/fdp044