OBJECTIVES: We aimed to identify the frequency and costs of, and the disease predictors and inpatient process issues that may predispose to, 30-day readmission for an inflammatory bowel disease (IBD) patient. METHODS: IBD patients admitted to an inpatient gastroenterology service were followed for a time-to-readmission analysis assessing factors associated with readmission within 30 days. RESULTS: Index admissions were more costly among those readmitted than among those not readmitted. Patients admitted with evidence of increased inflammation, infection, or obstruction or for dehydration or pain control had a higher risk of readmission. Patients treated with opioid analgesia during index admission were no less likely to be readmitted, and there was a 2.2-fold increase in readmissions when patients were discharged with no opioid analgesia. Scheduling variability and outpatient follow-up compliance were associated with readmission. CONCLUSIONS: Predicting readmission is complex. A predictive model developed to be used at discharge yielded an area under the curve of 0.757.
OBJECTIVES: We aimed to identify the frequency and costs of, and the disease predictors and inpatient process issues that may predispose to, 30-day readmission for an inflammatory bowel disease (IBD) patient. METHODS: IBD patients admitted to an inpatient gastroenterology service were followed for a time-to-readmission analysis assessing factors associated with readmission within 30 days. RESULTS: Index admissions were more costly among those readmitted than among those not readmitted. Patients admitted with evidence of increased inflammation, infection, or obstruction or for dehydration or pain control had a higher risk of readmission. Patients treated with opioid analgesia during index admission were no less likely to be readmitted, and there was a 2.2-fold increase in readmissions when patients were discharged with no opioid analgesia. Scheduling variability and outpatient follow-up compliance were associated with readmission. CONCLUSIONS: Predicting readmission is complex. A predictive model developed to be used at discharge yielded an area under the curve of 0.757.
Authors: Edward L Barnes; Bharati Kochar; Millie D Long; Michael D Kappelman; Christopher F Martin; Joshua R Korzenik; Seth D Crockett Journal: Inflamm Bowel Dis Date: 2017-06 Impact factor: 5.325
Authors: Neil Sengupta; Elliot B Tapper; Vilas R Patwardhan; Gyanprakash A Ketwaroo; Adarsh M Thaker; Daniel A Leffler; Joseph D Feuerstein Journal: Mayo Clin Proc Date: 2015-07-02 Impact factor: 7.616
Authors: Jonas Zeitz; Melike Ak; Séverine Müller-Mottet; Sylvie Scharl; Luc Biedermann; Nicolas Fournier; Pascal Frei; Valerie Pittet; Michael Scharl; Michael Fried; Gerhard Rogler; Stephan Vavricka Journal: PLoS One Date: 2016-06-22 Impact factor: 3.240