title: Can nurses tell the future? Creation of a model predictive of 30-day readmissions.
abstract: The estimated cost for hospital readmissions in 2011 was more than $41 billion, but the costs to patients in terms of quality of life are immeasurable. The purpose of this study was to determine if there are variables available to nurses at the time of the patient's admission that could be predictive of a 30-day hospital readmission. Logistic regression was used in a stepwise approach to determine the variable combinations most predictive for 30-day readmission. Thirty-two variables were found to be significantly predictive of 30-day readmissions from the more than 1400 examined.
authors.affiliation: Texas Tech University Health Science Center School of Nursing, Lubbock.
authors.forename: Adonica
authors.initials: A
authors.lastname: Dugger
authors.forename: Susan
authors.initials: S
authors.lastname: McBride
authors.forename: Huaxin
authors.initials: H
authors.lastname: Song
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005544:Forecasting; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009741:Nursing Staff, Hospital / Q000639:trends*; D010359:Patient Readmission / Q000706:statistics & numerical data / Q000639:trends*; D012189:Retrospective Studies; D012307:Risk Factors; D012959:Socioeconomic Factors; D013781:Texas; D014481:United States