Two point hospital 1.04 update
Each cohort was further analyzed to determine how many readmissions occurred in each group.
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The prediction was then compared to actual discharge disposition. A 75% probability for facility discharge corresponded with a risk score of greater than 9. Validation of the predictive tool was accomplished using the readmission rates. The top five risk scores were admission from a skilled nursing facility, acute heart attack, intracerebral hemorrhage, admission from “other” source, and an age of 75 or older. A predictive tool was created to determine discharge disposition based on risk scores derived from the coefficients of multivariable logistic regression related to an adjusted odds ratio. We used Medicare beneficiary data taken from a subset of base claims in the years of 20 in our analyses. Low readmission rates indicate proper and thorough care with appropriate discharge disposition. In this study, readmission status was used as a measure of the clinical significance and effectiveness of a discharge disposition prediction. Previous attempts to predict discharge disposition outcome after stroke have limited clinical validations.
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Early prediction of discharge destination can optimize poststroke care and improve outcomes. Determining discharge disposition is a complex decision by the healthcare team. The site of postacute care affects overall mortality and functional outcomes. After short-term, acute-care hospitalization for stroke, patients may be discharged home or other facilities for continued medical or rehabilitative management.