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

Roberts, Pamela S. PhD, OTR/L, SCFES, FAOTA, CPHQ, FNAP; Mix, Jacqueline PhD, MPH; Rupp, Kelsey BA; Younan, Christina BS; Mui, WenLi BS; Riggs, Richard V. MD; Niewczyk, Paulette PhD

American Journal of Physical Medicine & Rehabilitation: June 2016 - Volume 95 - Issue 6 - p 416–424
doi: 10.1097/PHM.0000000000000412
Original Research Articles

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.

From the Department of Physical Medicine and Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, California (PSR, KR, CY, WM, RVR); Uniform Data System for Medical Rehabilitation, Amherst, New York (JM, PN); and Daemen College, Health Care Studies Department, Amherst, New York (PN).

Financial disclosure statements have been obtained, and no conflicts of interest have been reported by the authors or by any individuals in control of the content of this article.

All correspondence and requests for reprints should be addressed to: Pamela S. Roberts, PhD, OTR/L, SCFES, FAOTA, CPHQ, FNAP, Department of Physical Medicine and Rehabilitation, Cedars-Sinai Medical Center, 8631 West Third Street, Suite 915 East, Los Angeles, CA 90048.

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