Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 4 , Pages 622-629 , April 2008

Assessing Self-Care and Social Function Using a Computer Adaptive Testing Version of the Pediatric Evaluation of Disability Inventory

  • Wendy J. Coster, PhD, OTR/L

      Affiliations

    • Department of Occupational Therapy and Rehabilitation Counseling, Boston University Sargent College, Boston, MA
    • Corresponding Author InformationCorrespondence to Wendy J. Coster, PhD, OTR/L, Dept of Occupational Therapy and Rehabilitation Counseling, Boston University Sargent College, 635 Commonwealth Ave, Boston, MA 02215
    • ,
  • Stephen M. Haley, PhD, PT

      Affiliations

    • Health and Disability Research Institute, Boston University School of Public Health, Boston, MA
    • ,
  • Pengsheng Ni, MD, MPH

      Affiliations

    • Health and Disability Research Institute, Boston University School of Public Health, Boston, MA
    • ,
  • Helene M. Dumas, MS, PT

      Affiliations

    • Research Center for Children with Special Health Care Needs, Franciscan Hospital for Children, Boston, MA.
    • ,
  • Maria A. Fragala-Pinkham, MS, PT

      Affiliations

    • Research Center for Children with Special Health Care Needs, Franciscan Hospital for Children, Boston, MA.

References 

  1. Msall M. Tools for measuring daily activities in children: promoting independence and developing a language for child disability. Pediatrics. 2002;109:317–319
  2. Lollar D, Simeonsson R, Nanda U. Measures of outcome in children and youth. Arch Phys Med Rehabil. 2000;81(12 Suppl 2):S46–S52
  3. Butler C. Outcomes that matter [editorial]. Dev Med Child Neurol. 1995;37:753–754
  4. Nordmark E, Jarnlo GG, Hägglund G. Comparison of the Gross Motor Function Measure and Paediatric Evaluation of Disability Inventory in assessing motor function in children undergoing selective dorsal rhizotomy. Dev Med Child Neurol. 2000;42:245–252
  5. Hays R, Morales L, Reise S. Item response theory and health outcomes measurement in the 21st century. Med Care. 2000;38(9 Suppl):II28–II42
  6. Ware J, Bjorner J, Kosinski M. Practical implications of item response theory and computerized adaptive testing. Med Care. 2000;38:II73–II82
  7. Wainer H, Dorans N, Flaugher R. Computerized adaptive testing: a primer. 2nd ed.. Mahwah: Erlbaum; 2000;
  8. Revicki DA, Cella DF. Health status assessment for the twenty-first century: item response theory, item banking and computer adaptive testing. Qual Life Res. 1997;6:595–600
  9. Dijkers M. A computer adaptive testing simulation applied to the FIM instrument motor component. Arch Phys Med Rehabil. 2003;84:384–393
  10. Haley SM, Raczek AE, Coster WJ, Dumas HM, Fragala-Pinkham MA. Assessing mobility in children using a computer adaptive testing version of the pediatric evaluation of disability inventory. Arch Phys Med Rehabil. 2005;86:932–939
  11. Haley SM, Coster WJ, Ludlow LH. Pediatric evaluation of disability inventory: development, standardization and administration manual. Boston: Trustees of Boston University; 1992;
  12. Embretson SE, Reise SP. Item response theory for psychologists. Mahwah: Lawrence Erlbaum; 2000;
  13. Wright FV, Boschen KA. The Pediatric Evaluation of Disability Inventory (PEDI): validation of a new functional assessment outcome instrument. Can J Rehabil. 1993;7:41–42
  14. Nichols DS, Case-Smith J. Reliability and validity of the pediatric evaluation of disability inventory. Pediatr Phys Ther. 1996;8:15–24
  15. Feldman AB, Haley SM, Coryell J. Concurrent and construct validity of the Pediatric Evaluation of Disability Inventory. Phys Ther. 1990;70:602–610
  16. Fragala MA, Haley SM, Dumas HM, Rabin JP. Classifying mobility recovery in children and youth with brain injury during hospital-based rehabilitation. Brain Inj. 2002;16:149–160
  17. Dumas HM, Haley SM, Ludlow LH, Rabin JP. Functional recovery in pediatric brain injury during inpatient rehabilitation. Am J Phys Med Rehabil. 2002;81:661–669
  18. Ostensjo S, Strinnholm M, Carlsson M, Dahl M. Everyday functioning in young children with cerebral palsy: functional skills, caregiver assistance, and modifications of the environment. Dev Med Child Neurol. 2003;45:603–612
  19. Ketelaar M, Vermeer A, Hart H, van Petegem-van Beek E, Helders PJ. Effects of a functional therapy program on motor abilities of children with cerebral palsy. Phys Ther. 2001;81:1534–1545
  20. Norrlin S, Strinnholm M, Carlsson M, Dahl M. Factors of significance for mobility in children with myelomeningocele. Acta Paediatr. 2003;92:204–210
  21. Tsai PY, Yang TF, Chan RC, Huang PH, Wong TT. Functional investigation in children with spina bifida-measured by the Pediatric Evaluation of Disability Inventory (PEDI). Childs Nerv Syst. 2002;18:48–53
  22. Engelbert RH, Custers JW, van der Net J, et al. Functional outcome in osteogenesis imperfecta: disability profiles using the PEDI. Pediatr Phys Ther. 1997;9:18–22
  23. Haley SM, Dumas HM, Ludlow LH. Mobility outcomes of children and adolescents in an inpatient rehabilitation program: variation by diagnostic and practice pattern groups. Phys Ther. 2001;81:1425–1436
  24. Kothari DH, Haley SM, Gill-Body KM, Dumas HM. Measuring functional change in children with acquired brain injury: comparison of normative and disease-specific scoring models using the Pediatric Evaluation of Disability Inventory (PEDI). Phys Ther. 2003;83:776–785
  25. Dumas H, Haley S, Rabin J. Short term durability and improvement of function in traumatic brain injury: a pilot study using the Paediatric Evaluation of Disability Inventory (PEDI) classification levels. Brain Inj. 2001;15:891–902
  26. Dumas HM, Haley SM, Bedell GM, Hull EM. Social function changes in children and adolescents with acquired brain injury during inpatient rehabilitation. Pediatr Rehabil. 2001;4:177–185
  27. Dumas HM, Haley SM, Fragala MA, Steva BJ. Self-care recovery of children with brain injury: descriptive analysis using the Pediatric Evaluation of Disability Inventory (PEDI) functional classification levels. Phys Occup Ther Pediatr. 2001;21:17–27
  28. Iyer LV, Haley SM, Watkins MP, Dumas HM. Establishing minimal clinically important differences for scores on the Pediatric Evaluation of Disability Inventory for inpatient rehabilitation. Phys Ther. 2003;83:888–898
  29. Ludlow L, Haley S. New directions in pediatric rehabilitation measurement: the growing challenge. J Outcome Meas. 2000;4:482–490
  30. Ludlow L, Haley S. Effect of context in rating of mobility activities in children with disabilities: an assessment using the Pediatric Evaluation of Disability Inventory. Educ Psychol Meas. 1996;56:122–129
  31. Haley SM, Ludlow LH, Coster WJ. Pediatric Evaluation of Disability Inventory: clinical interpretation of summary scores using Rasch rating scale methodology. Phys Med Rehabil Clin N Am. 1993;4:529–540
  32. Hambleton RK, Swaminathan H, Rogers HJ. Fundamentals of item response theory. Newbury Park: Sage; 1991;
  33. Van der Linden W, Hambleton R. Handbook of modern item response theory. Berlin: Springer; 1997;
  34. Mislevy RJ. Recent developments in the factor analysis of categorical variables. J Educ Stat. 1986;11:3–31
  35. Muthen B, Muthen L. MPlus user’s guide. Los Angeles: Muthen & Muthen; 1998;
  36. Beauducel A, Herzberg PY. On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Struct Equat Model. 2006;13:186–203
  37. Tjur T. A connection between Rasch’s item analysis model and a multiplicative Poisson model. Scand J Stat. 1982;9:23–30
  38. Fischer G, Molenaar I. Rasch models: foundations, recent developments, and applications. Berlin: Springer-Verlag; 1995;
  39. Andrich D. Rasch models for measurement. Beverly Hills: Sage; 1998;
  40. Masters GN. A Rasch model for partial credit scoring. Psychometrika. 1982;47:149–174
  41. Wu ML, Adams RJ. ConQuest [computer software and manual]. Melbourne: Australian Council for Educational Research; 1998;
  42. Warm TA. Weighted likelihood estimation of ability in item response theory. Psychometrika. 1989;54:427–450
  43. Hariharan S, Rogers HJ. Detecting differential item functioning using logistic regression procedures. J Educ Meas. 1990;27:361–370
  44. McHorney CA, Ware JE, Lu JF, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): III (Tests of data quality, scaling assumptions and reliability across diverse patient groups). Med Care. 1994;32:40–66
  45. Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consul Clin Psychol. 1991;59:12–19

 Supported by the National Center on Medical Rehabilitation Research, National Institute of Child Health and Human Development, National Institutes of Health (grant nos. R43 HD42388-01, K02 HD45354-01A1).

 A commercial party having a direct financial interest in the results of the research supporting this article has conferred or will confer a financial benefit upon 1 or more of the authors. Haley has stock interest in CRE Care LLC, which distributes the Pediatric Evaluation of Disability Inventory (PEDI) products. Coster and Haley have a financial interest in the distribution of PEDI products.

 Reprints are not available from the authors.

PII: S0003-9993(08)00033-6

doi: 10.1016/j.apmr.2007.09.053

Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 4 , Pages 622-629 , April 2008

Article Tools

* Image Usage & Resolution