Patient flow variability and unplanned readmissions to an intensive care unit.
OBJECTIVE
To determine whether high patient inflow volumes to an intensive care unit are associated with unplanned readmissions to the unit.


METHODS
Retrospective comparative analysis.


METHODS
The setting is a large urban tertiary care academic medical center.


METHODS
Patients (n = 3233) discharged from an adult neurosciences critical care unit to a lower level of care from January 1, 2006 through November 30, 2007.


METHODS
None.


RESULTS
The main outcome variable is unplanned patient readmission to the neurosciences critical care unit within 72 hrs of discharge to a lower level of care. The odds of one or more discharges becoming an unplanned readmission within 72 hrs were nearly two and a half times higher on days when > or =9 patients were admitted to the neurosciences critical care unit (odds ratio, 2.43; 95% confidence interval, 1.39-4.26) compared with days with < or =8 admissions. The odds of readmission were nearly five times higher on days when > or =10 patients were admitted (odds ratio, 4.99; 95% confidence interval, 2.45-10.17) compared with days with < or =9 admissions. Adjusting for patient complexity, the odds of an unplanned readmission were 2.34 times higher for patients discharged to a lower level of care on days with > or =10 admissions to the neurosciences critical care unit (odds ratio, 2.34; 95% confidence interval, 1.27-4.34) compared with similar patients discharged on days of < or =9 admissions.


CONCLUSIONS
Days of high patient inflow volumes to the unit were associated significantly with subsequent unplanned readmissions to the unit. Furthermore, the data indicate a possible dose-response relationship between intensive care unit inflow and patient outcomes. Further research is needed to understand how to defend against this risk for readmission.
Center for Innovation in Quality Patient Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. davebaker@jhmi.edu
David R
DR
Baker
Peter J
PJ
Pronovost
Laura L
LL
Morlock
Romergryko G
RG
Geocadin
Christine G
CG
Holzmueller
D000046:Academic Medical Centers; D000328:Adult; D000368:Aged; D005260:Female; D017722:Hospital Charges / Q000706:statistics & numerical data; D017052:Hospital Mortality; D006801:Humans; D007362:Intensive Care Units; D007902:Length of Stay / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009422:Nervous System Diseases / Q000453:epidemiology; D010343:Patient Admission / Q000706:statistics & numerical data*; D010359:Patient Readmission / Q000706:statistics & numerical data*; D012189:Retrospective Studies