Using Functional Status in the Acute Hospital to Predict Discharge Destination for Stroke Patients

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Abstract

Objective

The aim of this study was to determine whether functional status, as measured by the AcuteFIM instrument, can be used to predict discharge destination of stroke patients from the acute hospital setting.

Design

A retrospective cohort study was carried out in an urban academic medical center. Data were collected on 481 new-onset stroke patients 18 yrs or older in an acute hospital between January 1 and September 30, 2013. Functional Independence Measure (FIM) instrument data were linked to a subset of 54 patients who received additional services at an inpatient rehabilitation facility. A receiver operator characteristic curve was constructed to validate the predictive ability of the AcuteFIM instrument and to determine the optimal cutoff score associated with discharge to a community setting.

Results

All AcuteFIM items in stroke patients at admission demonstrated strong interitem correlation coefficients (all above 0.6) and high internal consistency (Cronbach α = 0.94). The AcuteFIM total score was positively associated with discharge to the community from the acute hospital (odds ratio, 1.06; 95% confidence interval, 1.05–1.07). Receiver operator characteristic curve analysis generated a c statistic of 0.89 (95% confidence interval, 0.87–0.92), indicating that the AcuteFIM instrument is predictive of patient discharge to the community setting.

Conclusion

This study suggests that the AcuteFIM instrument is a reliable tool that can be used to predict discharge destination from the acute hospital among stroke patients.

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