A Concordance Table to Convert FIM Basic Mobility and Self-Care Scale Scores to SCI-FI/AT Scores |
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| Institution: | 1. Biostatistics & Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA;2. Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA;3. Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA;5. Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL;6. Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA;1. From the Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA;2. Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA;3. Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA;4. Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA;5. Division of Physical Medicine and Rehabilitation, Dalhousie University, Halifax, Nova Scotia, Canada;6. Department of Physical Medicine & Rehabilitation, University of Alabama, Birmingham, AL;7. Kessler Foundation, West Orange, NJ;8. Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ;9. Kessler Institute for Rehabilitation, West Orange, NJ;10. Feinberg School of Medicine, Northwestern University, Chicago, IL;11. Shirley Ryan Ability Lab, Chicago, IL;1. Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA;2. Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA;3. Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA;4. Department of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA;5. Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA;6. Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA;7. Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA;1. Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA;2. Departments of Physical Medicine and Rehabilitation;3. Bioengineering;4. Physical Therapy;5. Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA;6. University of Pittsburgh Medical Center Centers for Rehab Services, Pittsburgh, PA;7. Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Champaign, IL;8. Department of Human Performance and Sport Studies, Idaho State University, Pocatello, ID;1. Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh PA;2. Human Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA;3. Departments of Bioengineering;4. Physical Medicine and Rehabilitation;5. Physical Therapy, and;6. Rehabilitation Sciences and Technology, University of Pittsburgh, Pittsburgh, PA;7. Baylor College of Medicine, Houston, TX;8. MetroHealth Medical Center, Cleveland, OH;9. Shirley Ryan AbilityLab and Northwestern University Feinberg School of Medicine, Chicago, IL;1. Research Department, Craig Hospital, Englewood, CO;2. Department of Rehabilitation Medicine, University of Minnesota Medical School, Minneapolis, MN;3. Department of Psychology, University of Colorado, Denver, CO;4. Department of Physical Medicine and Rehabilitation, University of Colorado, Anschutz Medical School, Aurora, CO;5. Rocky Mountain Regional VA Medical Center, Aurora, CO;6. Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA;7. CNS Medical Group, Englewood CO |
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| Abstract: | ObjectiveTo estimate Spinal Cord Injury Functional Index Assistive Technology (SCI-FI/AT) scores from FIM motor items.DesignSecondary data analysis.SettingFourteen Spinal Cord Injury Model Systems (SCIMS) programs.ParticipantsPersons with traumatic spinal cord injury (SCI) discharged from inpatient rehabilitation at 14 SCIMS programs (N=1237).InterventionsNot applicable.Main Outcome MeasuresFIM motor items were matched to SCI-FI/AT domains and summary scores for each measure were developed. The kernel-based method was employed to develop a concordance table to estimate SCI-FI/AT domain summary scores from content-matched FIM motor item summary scores. We conducted analyses to compare agreement between actual SCI-FI/AT summary scores (actual SCI-FI/AT_S) and estimated SCI-FI/AT summary scores (est-SCI-FI/AT_S) for the total sample and for participants with different SCI injury categories.ResultsNine FIM items matched SCI-FI/AT basic mobility and self-care domain content. Pearson correlations for actual and est-SCI-FI/AT_S scores (0.79) were adequate for using concordance linking methods. Intraclass correlation coefficient values (0.79; 95% confidence interval, 0.77-0.81) indicated moderate reliability. t tests revealed no significant differences between actual and est-SCI-FI/AT_S scores in the total sample. For almost 60% of the sample, actual and est-SCI-FI/AT_S score differences were <5 points (half of a SD). Greater differences between actual and est-SCI-FI/AT_S scores were noted for persons with tetraplegia American Spinal Injury Association Impairment Scales (AISs) A, B, and C.ConclusionsDespite differences between the FIM and SCI-FI/AT assessments, we developed a concordance table to estimate self-care and basic mobility SCI-FI/AT scores from content-matched FIM motor item scores. This concordance table allows researchers to merge FIM data with SCI-FI/AT data to analyze SCI functional outcomes at the group level. However, owing to greater differences between actual and estimated scores, the concordance table should be used with caution to interpret scores for those with cervical-level injuries AISs A, B, C. |
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| Keywords: | Functional status |
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