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.
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.
Authors: John C Bucuvalas; Maria Britto; Susan Krug; Frederick C Ryckman; Harry Atherton; Maria P Alonso; William F Balistreri; Uma Kotagal Journal: Liver Transpl Date: 2003-01 Impact factor: 5.799
Authors: M E Msall; K DiGaudio; B T Rogers; S LaForest; N L Catanzaro; J Campbell; F Wilczenski; L C Duffy Journal: Clin Pediatr (Phila) Date: 1994-07 Impact factor: 1.168