Literature DB >> 10754896

Using the Functional Independence Measure instrument to predict stroke rehabilitation outcomes.

T M Black1, T Soltis, C Bartlett.   

Abstract

The purpose of the study described in this article was to identify the factors that have an impact on stroke patients' discharge destination. Two hundred thirty-four stroke patients admitted to a rehabilitation facility over a 2-year period were examined. Functional Independence Measure (FIM) data were used to examine functional status, demographic characteristics, and the discharge destination of patients admitted to the facility's program. The relationship between patients' FIM scores at discharge and their discharge locations was analyzed using the chi-square statistic. The results showed that a discharge FIM score of 80 or above had a high specificity and sensitivity with patients' discharge to their homes. In addition, outliers were analyzed, and the results showed that family members of only 20% of the patients who were discharged to their homes were working, in contrast to 65% of the family members of patients who were discharged to a skilled nursing facility. The availability of a nonworking family member and the ability of a family to provide supervision and physical assistance were more likely to be factors related to discharge of patients to their homes. Ninety percent of the families of patients discharged to their homes were able to provide supervision and to provide physical assistance. Thus, both functional status and social factors, such as family availability and support, are critical elements in predicting the discharge destination of this patient population.

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Year:  1999        PMID: 10754896     DOI: 10.1002/j.2048-7940.1999.tb02151.x

Source DB:  PubMed          Journal:  Rehabil Nurs        ISSN: 0278-4807            Impact factor:   1.625


  8 in total

1.  Utility of functional status for classifying community versus institutional discharges after inpatient rehabilitation for stroke.

Authors:  Timothy A Reistetter; James E Graham; Anne Deutsch; Carl V Granger; Samuel Markello; Kenneth J Ottenbacher
Journal:  Arch Phys Med Rehabil       Date:  2010-03       Impact factor: 3.966

2.  Depression and Functional Status Among African American Stroke Survivors in Inpatient Rehabilitation.

Authors:  Gabrielle M Harris; Janice Collins-McNeil; Qing Yang; Vu Q C Nguyen; Mark A Hirsch; Charles F Rhoads; Tami Guerrier; J George Thomas; Terrence M Pugh; Deanna Hamm; Carol Pereira; Janet Prvu Bettger
Journal:  J Stroke Cerebrovasc Dis       Date:  2016-10-06       Impact factor: 2.136

3.  Medications, comorbidities, and medical complications in stroke survivors: the CAReS study.

Authors:  Sharon K Ostwald; Joan Wasserman; Sally Davis
Journal:  Rehabil Nurs       Date:  2006 Jan-Feb       Impact factor: 1.625

4.  Stress experienced by stroke survivors and spousal caregivers during the first year after discharge from inpatient rehabilitation.

Authors:  Sharon K Ostwald; Maria P Bernal; Stanley G Cron; Kyler M Godwin
Journal:  Top Stroke Rehabil       Date:  2009 Mar-Apr       Impact factor: 2.119

5.  Predicting institutionalization after traumatic brain injury inpatient rehabilitation.

Authors:  Regina S Eum; Ronald T Seel; Richard Goldstein; Allen W Brown; Thomas K Watanabe; Nathan D Zasler; Elliot J Roth; Ross D Zafonte; Mel B Glenn
Journal:  J Neurotrauma       Date:  2014-12-05       Impact factor: 5.269

6.  Correlates of rehabilitation hospital length of stay among older African-American patients.

Authors:  Terry L Mills; Peter A Lichtenberg; Melanie A Wakeman; Hellena Scott-Okafor
Journal:  J Natl Med Assoc       Date:  2002-09       Impact factor: 1.798

Review 7.  Comparing the functional independence measure and the interRAI/MDS for use in the functional assessment of older adults: a review of the literature.

Authors:  Christine Glenny; Paul Stolee
Journal:  BMC Geriatr       Date:  2009-11-29       Impact factor: 3.921

8.  Falls among community-residing stroke survivors following inpatient rehabilitation: a descriptive analysis of longitudinal data.

Authors:  Laura M Wagner; Victoria L Phillips; Amanda E Hunsaker; Pamela G Forducey
Journal:  BMC Geriatr       Date:  2009-10-14       Impact factor: 3.921

  8 in total

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