Quality of Life Research

, 15:1023

Associations between a functional independence measure (WeeFIM) and the pediatric quality of life inventory (PedsQL4.0) in young children with physical disabilities

Authors

    • Université de Montréal, École de réadaptation
    • Centre de recherche interdisciplinaire en réadaptation (CRIR)
    • Physiotherapy DepartmentMcGill University Health Centre, Montreal Children’s Hospital
  • Debbie Ehrmann Feldman
    • Université de Montréal, École de réadaptation
    • Centre de recherche interdisciplinaire en réadaptation (CRIR)
    • Physiotherapy DepartmentMcGill University Health Centre, Montreal Children’s Hospital
    • Groupe de recherche interdisciplinaire en santé (GRIS)Université de Montréal
  • Annette Majnemer
    • Physiotherapy DepartmentMcGill University Health Centre, Montreal Children’s Hospital
    • School of Physical and Occupational TherapyMcGill University
  • Melanie Couture
    • Université de Montréal, École de réadaptation
    • Centre de recherche Hôpital Sainte-Justine
  • Laurent Azoulay
    • Université de Montréal, École de réadaptation
    • Centre de recherche Hôpital Sainte-Justine
  • Bonnie Swaine
    • Université de Montréal, École de réadaptation
    • Centre de recherche interdisciplinaire en réadaptation (CRIR)
Article

DOI: 10.1007/s11136-006-0041-9

Cite this article as:
Grilli, L., Feldman, D.E., Majnemer, A. et al. Qual Life Res (2006) 15: 1023. doi:10.1007/s11136-006-0041-9
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Abstract

Objectives: To determine the association between functional status, measured by the WeeFIM and health-related quality of life (HRQL), measured by the PedsQL4.0 for children with physical disabilities. To explore child, parent and service-related factors associated with each of these measures. Patients: Parents of 115 children (2–5 years) with physical disabilities who were referred to occupational (OT) or physical therapy (PT). Mean age of the children was 3 years 7 months (±10 months), 79 were boys and 67 were diagnosed with global developmental delay. Results: Children had more difficulties with self-care tasks and cognitive abilities, as compared to mobility activities on the WeeFIM. The correlation between total WeeFIM and total PedsQL4.0 was r = 0.39. WeeFIM mobility and self-care quotients were each fairly correlated with PedsQL-Physical Health Summary Score (rs = 0.29 and rs = 0.28 respectively). There was no significant association between WeeFIM cognition quotient and each of PedsQL scores (rs = 0.03–0.05). The receipt of PT services was highly associated (p<0.001) with lower scores on the PedsQL-Physical Health Summary score, PedsQL-Total score, and WeeFIM mobility quotient. Conclusion: The WeeFIM and the PedsQL4.0 appear to assess related but different constructs, supporting the need to incorporate complementary measures when measuring general health of children with disabilities.

Keywords

Children with physical disabilitiesHealth outcomesPediatric functional measurePediatric health-related quality of life measure
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Copyright information

© Springer 2006