title: Probability of severe adverse events as a function of hospital occupancy.
abstract: A unique application of regression modeling is described to compare hospital bed occupancy with reported severe adverse events amongst inpatients. The probabilities of the occurrence of adverse events as a function of hospital occupancy are calculated using logistic and multinomial regression models. All models indicate that higher occupancy rates lead to an increase in adverse events. The analysis identified that at an occupancy level of 100%, there is a 22% chance of one severe event occurring and a 28% chance of at least one severe event occurring. This modeling contributes evidence toward the management of hospital occupancy to benefit patient outcomes.
authors.forename: Justin
authors.initials: J
authors.lastname: Boyle
authors.forename: Kathryn
authors.initials: K
authors.lastname: Zeitz
authors.forename: Richard
authors.initials: R
authors.lastname: Hoffman
authors.forename: Sankalp
authors.initials: S
authors.lastname: Khanna
authors.forename: John
authors.initials: J
authors.lastname: Beltrame
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data; D000465:Algorithms; D001509:Bed Occupancy / Q000706:statistics & numerical data*; D006801:Humans; D008490:Medical Informatics / Q000379:methods*; D008508:Medication Errors / Q000706:statistics & numerical data; D015233:Models, Statistical; D061214:Patient Safety / Q000706:statistics & numerical data*; D003668:Pressure Ulcer; D012044:Regression Analysis