Advertisement
Original research| Volume 100, ISSUE 10, P1924-1931, October 2019

Tracking Spinal Cord Injury Functional Outcomes Across the Lifespan: Validation of Linking Coefficients

      Abstract

      Objective

      Validation of linking coefficients to transform Pediatric Spinal Cord Injury Activity Measure (PEDI-SCI/AM) scores to adult Spinal Cord Injury-Functional Index (SCI-FI) scores.

      Design

      This cross-sectional study administered PEDI-SCI/AM and SCI-FI computerized adaptive tests (CATs) and short forms (SFs) to children with SCI and parents or caregivers.

      Setting

      Hospitals, university, and rehabilitation institute.

      Participants

      About 107 children with SCI and 96 parent or caregivers.

      Interventions

      Not applicable.

      Main Outcome Measures

      Linking coefficients estimated SCI-FI (est-SCI-FI) scores from PEDI-SCI/AM scores for matched domains. Correlations between est-SCI-FI and actual SCI-FI scores were calculated. If correlations exceeded the criterion linking (0.866), the following analyses to compare est-SCI-FI and actual SCI-FI scores were conducted: paired t tests, intraclass correlation coefficients (ICCs 3, 1), percent of cases with absolute score differences at different thresholds.

      Results

      Two matched domains, PEDI-SCI/AM Daily Routine/SCI-FI Self-Care and PEDI-SCI/AM General Mobility/SCI-FI Basic Mobility, met the linking criterion for both respondent-types (parent and child) and administration modes (CAT and SF). PEDI-SCI/AM Daily Routine and SCI-FI Fine Motor Function did not meet linking criterion for respondent type or mode. The linking criterion was met for wheelchair domains (child SF and CAT) and ambulation domains (child SF only). Significant differences between est-SCI-FI and actual SCI-FI scores were noted for all matched domains except Daily Routine/Self-Care (child SF only; parent SF and CAT). ICC values showed excellent agreement (range=0.75-0.89). Absolute differences between est-SCI-FI and actual SCI-FI scores were less than 1 standard deviation (except wheelchair CAT child).

      Conclusions

      Linking coefficients applied to PEDI-SCI/AM scores can provide valid SCI-FI estimates that vary by domain, mode, and respondent type.

      Keywords

      List of abbreviations:

      CAT (computerized adaptive test), est-SCI-FI (estimated Spinal Cord Injury-Functional Index), ICC (intraclass correlation coefficient), MWC (manual wheelchair), PEDI-SCI/AM (Pediatric Spinal Cord Injury Activity Measure), PROM (patient-reported outcome measure), PWC (power wheelchair), SCI (spinal cord injury), SCI-FI (Spinal Cord Injury-Functional Index), SF (short form)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Tulsky D.S.
        • Kisala P.A.
        • Boulton A.J.
        • et al.
        Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures.
        Qual Life Res. 2019; 28: 1217-1229
        • Reeve B.B.
        • Thissen D.
        • DeWalt D.A.
        • et al.
        Linkage between the PROMIS® pediatric and adult emotional distress measures.
        Qual Life Res. 2016; 25: 823-833
        • Kolen M.J.
        • Brennan R.L.
        Test equating, scaling, and linking: methods and practices.
        2nd ed. Springer-Verlag, New York2004: 372
        • Slavin M.
        • Mulcahey M.J.
        • Vogel L.
        • Calhoun C.
        • Jette A.
        Development and validation of short forms of activity for youth with.
        SCI. Spinal Cord. 2016; 54: 546-552
        • Slavin M.
        • Kisala P.
        • Jette A.
        • Tulsky D.
        Developing a contemporary functional outcome measure for spinal cord injury research.
        Spinal Cord. 2010; 48: 262-267
        • Tian F.
        • Ni P.
        • Mulcahey M.J.
        • Hambleton R.K.
        • Tulsky D.
        • Haley S.M.
        • Jette A.M.
        Tracking functional status across the spinal cord injury lifespan: linking pediatric and adult patient-reported outcome scores.
        Arch Phys Med Rehabil. 2014; 95: 2078-2085
        • Jette A.
        • Tulsky D.
        • Ni P.
        • et al.
        Development and initial evaluation of the spinal cord injury-functional index.
        Arch Phys Med Rehabil. 2012; 93: 1733-1750
        • Han K.T.
        IRTEQ: Windows application that implements item response theory scaling and equating.
        Appl Psychol Meas. 2010; 33: 491-493
        • Dorans N.J.
        Equating, concordance, and expectation.
        App Psychol Meas. 2004; 28: 227-246
        • Dorans N.J.
        • Walker M.E.
        Sizing up linkages.
        in: Dorans N.J. Pommerich M. Hollands P.W. Linking and aligning scores and scales. Springer, New York2007: 179-198
        • Mukaka M.
        Statistics corner: a guide to appropriate use of correlation coefficient in medical research.
        Malar Med J. 2012; 24: 69-71
        • Wang Y.C.
        • Byers K.L.
        • Velozo C.A.
        Validation of FIM™-MDS crosswalk conversion algorithm.
        J Rehabil Res Dev. 2008; 45: 1065-1076
        • Klooster P.
        • Oude Voshaar M.
        • Gandek B.
        • et al.
        Development and PROM evaluation of a crosswalk between the SF-36 physical functioning scale and Health Assessment Questionnaire disability index in rheumatoid arthritis.
        Health Qual Life Outcomes. 2013; 11: 199
        • Pieper P.
        • Garvan C.
        Concordance of child and parent reports of health-related quality of life in children with mild traumatic brain or non-brain injuries and in uninjured children: longitudinal evaluation.
        J Pediatr Health Care. 2015; 29: 343-351
        • Blades M.
        • Eiser C.
        • Cremeens J.
        Factors influencing agreement between child self-report and parent proxy-reports on the Pediatric Quality of Life Inventory™ 4.0 (PedsQL™) generic core scales.
        Health Qual Life Outcomes. 2006; 4: 58
        • House L.A.
        • Russell H.F.
        • Kelly E.H.
        • et al.
        Rehabilitation and future participation of youth following spinal cord injury: caregiver perspectives.
        Spinal Cord. 2009; 47: 882-886
        • Gorzkowski J.
        • Kelly E.H.
        • Klaas S.J.
        • Vogel L.C.
        Obstacles to community participation among youth with spinal cord injury.
        J Spinal Cord Med. 2011; 34: 576-585
        • Kelly E.H.
        • Riordan A.L.
        • Zebracki K.
        • et al.
        Relationships between caregiver characteristics and health-related quality of life among youth with spinal cord injury.
        Top Spinal Cord Inj Rehabil. 2016; 22: 149-157
        • Kelly E.H.
        • Mulcahey M.J.
        • Klaas S.
        • et al.
        Psychosocial outcomes among youth with spinal cord injury and their primary caregivers.
        Top Spinal Cord Inj Rehabil. 2012; 18: 67-72