Objective
To determine post-stroke 30-day readmission rate, its predictors, its impact on mortality, and to identify potentially preventable causes of post-stroke 30-day readmission in a population-based study.
Patients and Methods
We identified all acute ischemic strokes (AIS) using the ICD-9 codes (433.x1, 434.xx, and 436) via the Rochester Epidemiology Project (REP) between January 2007 and December 2011. Acute stroke care in Olmsted County is provided by two medical centers, Saint Marys Hospital (SMH), and Olmsted Medical Center Hospital (OMCH). All readmissions to these two hospitals were accounted for this study. Thirty-day readmission data was abstracted through manual chart review. The REP linkage database was used to identify the status (living/dead) of all patients at last follow up.
Results
Forty one (7.6%, 95% CI 5.7%-10.2%) of total 537 AIS patients were readmitted 30 days post-stroke. In a multivariable logistic regression model, discharge to nursing home following index stroke (OR: 0.29, 95% CI 0.08-0.84) was an independent negative predictor of unplanned 30-day readmission. In a subgroup of patients with dementia, being married at time of index stroke was found to be a negative predictor of readmission (OR 0.10, 95% CI 0.005-0.58). Only 2.8% of the patients had potentially preventable readmissions. Hospital readmission had no significant impact on patient's short (3 months) or long term (1 or 2 years) mortality (p>0.05).
Conclusion
Post-stroke 30-days readmission rate is low in AIS patients from Olmsted County. Further research is needed in regarding discharge checklists, protocols, and stroke transitional programs to reduce potentially preventable readmissions.