title: Risk Factors Associated with Unplanned Hospital Readmissions in Adults with Cancer.
abstract: OBJECTIVE
  To identify risk factors associated with 30-day unplanned hospital readmissions in adults with cancer.
  
  
  METHODS
  Case-control study.
  
  
  METHODS
  A teaching hospital in an urban center in the Mid-Atlantic region of the United States.
  
  
  METHODS
  302 adults with solid tumors.
  
  
  METHODS
  The Conceptual Model of Re-Hospitalization was used as a theoretic framework. Univariate logistic regression and multivariate logistic regression were conducted to identify risk factors for hospital readmission.
  
  
  METHODS
  Risk factors included patient, clinical, hospitalization, and discharge-planning characteristics.
  
  
  RESULTS
  From November 2011 to November 2012, 29% of patients were readmitted within 30 days after discharge, and a higher percentage of those readmissions occurred within the first week of discharge. Several predictors for hospital readmission were identified in the univariate logistic analysis, but the most relevant in the final multivariate logistic model were moderate to high risk for falls and advanced stage disease (metastatic).
  
  
  CONCLUSIONS
  Hospital readmission is an indicator of quality care. Learning about risk factors allows opportunities to prevent hospital readmission by identifying those at high risk and implementing optimal discharge-planning systems and early referrals to palliative care.
  
  
  CONCLUSIONS
  Oncology nurses are best positioned to develop strategic plans aimed at improving discharge planning and transitions of care that will decrease unplanned hospital readmissions.
authors.affiliation: Abramson Cancer Center at Pennsylvania Hospital in Philadelphia.
authors.forename: Clara
authors.initials: C
authors.lastname: Granda-Cameron
authors.forename: Maryam
authors.initials: M
authors.lastname: Behta
authors.forename: Mary
authors.initials: M
authors.lastname: Hovinga
authors.forename: Al
authors.initials: A
authors.lastname: Rundio
authors.forename: David
authors.initials: D
authors.lastname: Mintzer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D005260:Female; D006784:Hospitals, Teaching / Q000706:statistics & numerical data; D006786:Hospitals, Urban / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000451:nursing*; D009859:Oncology Nursing / Q000379:methods*; D010351:Patient Discharge; D010359:Patient Readmission / Q000706:statistics & numerical data*; D015143:Philadelphia; D012307:Risk Factors
keywords: cancer; discharge planning; hospital readmissions; risk factors