Risk factors for discharge to an acute care hospital from inpatient rehabilitation among stroke patients

PM R. 2014 Jan;6(1):50-5; quiz 55. doi: 10.1016/j.pmrj.2013.08.592. Epub 2013 Aug 22.

Abstract

Objective: To identify medical and functional health risk factors for being discharged directly to an acute-care hospital from an inpatient rehabilitation facility among patients who have had a stroke.

Design: Retrospective cohort study.

Setting: Academic medical center.

Participants: A total of 783 patients with a primary diagnosis of stroke seen from 2008 to 2012; 60 were discharged directly to an acute-care hospital and 723 were discharged to other settings, including community and other institutional settings.

Methods or interventions: Logistic regression analysis.

Main outcome measurements: Direct discharge to an acute care hospital compared with other discharge settings from the inpatient rehabilitation unit.

Results: No significant differences in demographic characteristics were found between the 2 groups. The adjusted logistic regression model revealed 2 significant risk factors for being discharged to an acute care hospital: admission motor Functional Independence Measure total score (odds ratio 0.97, 95% confidence interval 0.95-0.99) and enteral feeding at admission (odds ratio 2.87, 95% confidence interval 1.34-6.13). The presence of a Centers for Medicare and Medicaid-tiered comorbidity trended toward significance.

Conclusion: Based on this research, we identified specific medical and functional health risk factors in the stroke population that affect the rate of discharge to an acute-care hospital. With active medical and functional management, early identification of these critical components may lead to the prevention of stroke patients from being discharged to an acute-care hospital from the inpatient rehabilitation setting.

MeSH terms

  • Academic Medical Centers
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Comorbidity
  • Disability Evaluation
  • Enteral Nutrition / statistics & numerical data
  • Female
  • Humans
  • Logistic Models
  • Los Angeles
  • Male
  • Middle Aged
  • Patient Discharge*
  • Rehabilitation Centers
  • Retrospective Studies
  • Risk Factors
  • Stroke Rehabilitation*