Variables predictive of poor postdischarge outcomes for hospitalized elders in heart failure.
Heart failure (HF) affects more than one million older Americans. As the population ages, the incidence of HF will increase. The purpose of this study was to identify variables that profile elders hospitalized with HF who are at high risk for poor postdischarge outcomes. A total of 103 patients were enrolled in the study. A low serum sodium and a fair or poor self-reported health status predicted all-cause readmission. A low serum sodium predicted HF-related readmissions. Four or more HF symptoms and index admission to an urban hospital predicted physician office visits. Admission to a community hospital predicted emergency department visits, and the number of coexisting medical conditions indicated an increased risk for an emergency department visit. The findings indicate that it is possible to profile hospitalized elders with HF who are at risk for poor postdischarge outcomes.
Roe-Prior
Paula
P
Department of Nursing, University of Scranton, Pennsylvania, USA.
D000368:Aged; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data*; D006333:Heart Failure / Q000534:rehabilitation*; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D009819:Office Visits / Q000706:statistics & numerical data; D010351:Patient Discharge; D010359:Patient Readmission / Q000706:statistics & numerical data; D012044:Regression Analysis; D012307:Risk Factors; D014481:United States