How much do operational processes affect hospital inpatient discharge rates?

被引:35
作者
Wong, Hannah [3 ,4 ,5 ]
Wu, Robert C. [1 ,2 ]
Tomlinson, George [1 ,6 ]
Caesar, Michael [1 ,3 ]
Abrams, Howard [1 ,2 ,7 ]
Carter, Michael W. [4 ,5 ]
Morra, Dante [1 ,2 ]
机构
[1] Univ Hlth Network, Toronto Gen Hosp, Ctr Innovat Complex Care, Toronto, ON, Canada
[2] Univ Toronto, Dept Med, Toronto, ON, Canada
[3] Univ Hlth Network, Shared Informat Management Serv, Toronto, ON, Canada
[4] Univ Toronto, Ctr Res Hlth Care Engn, Toronto, ON, Canada
[5] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON, Canada
[6] Univ Toronto, Dept Publ Hlth Sci, Toronto, ON, Canada
[7] Univ Toronto, Dept Hlth Policy Management & Evaluat, Toronto, ON, Canada
关键词
day of the week; discharge rate; holiday; operational efficiency; scheduling; LENGTH-OF-STAY; MYOCARDIAL-INFARCTION; WEEKEND SERVICE; HEART-FAILURE; CARE; ADMISSION; ORGANIZATION; WORKLOAD; OUTCOMES; QUALITY;
D O I
10.1093/pubmed/fdp044
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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. 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. 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. 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.
引用
收藏
页码:546 / 553
页数:8
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