PURPOSE: To identify and describe selected key characteristics of children with neurodevelopmental disorders and disabilities (NDD/D) in a national disability survey database. METHOD: Secondary analysis of data on children aged 5-14 years in the Canadian Participation and Activity Limitation Survey (PALS). Children with NDD/D were ascertained from ICD-10 diagnoses "fine-tuned" with functional limitation information, and classified into six predetermined NDD/D subtypes by independent expert evaluators. RESULTS: Children with NDD/D accounted for 73.5% of children with disabilities. Amongst children with a single NDD/D type, 28.8% were in the Cognition-Learning subgroup, 22.2% Psychological, 19.9% Social interactive, 13.3% Sensory, 10.6% Motor and 5.2% Speech-Language disorders/disabilities. Complexity, both diagnostic (more than one ICD-10 diagnosis) and functional (more than one parent-identified functional limitation), was encountered frequently though variably across NDD/D subtypes. In aligning parent-identified functional limitation information with researcher-ascertained assignment of children to NDD/D subgroups, matching with additional limitations (61.3% of children) occurred far more commonly than simple 1:1 matches (14.0%) or non-matching (24.7%). CONCLUSIONS: Conceptual, definitional and terminology issues affect population-based research on children with NDD/D. Ascertainment methods can use diagnostic as well as functional information. Diagnostic information alone is likely to under-represent the complexity and needs of children with NDD/D and their families.
PURPOSE: To identify and describe selected key characteristics of children with neurodevelopmental disorders and disabilities (NDD/D) in a national disability survey database. METHOD: Secondary analysis of data on children aged 5-14 years in the Canadian Participation and Activity Limitation Survey (PALS). Children with NDD/D were ascertained from ICD-10 diagnoses "fine-tuned" with functional limitation information, and classified into six predetermined NDD/D subtypes by independent expert evaluators. RESULTS:Children with NDD/D accounted for 73.5% of children with disabilities. Amongst children with a single NDD/D type, 28.8% were in the Cognition-Learning subgroup, 22.2% Psychological, 19.9% Social interactive, 13.3% Sensory, 10.6% Motor and 5.2% Speech-Language disorders/disabilities. Complexity, both diagnostic (more than one ICD-10 diagnosis) and functional (more than one parent-identified functional limitation), was encountered frequently though variably across NDD/D subtypes. In aligning parent-identified functional limitation information with researcher-ascertained assignment of children to NDD/D subgroups, matching with additional limitations (61.3% of children) occurred far more commonly than simple 1:1 matches (14.0%) or non-matching (24.7%). CONCLUSIONS: Conceptual, definitional and terminology issues affect population-based research on children with NDD/D. Ascertainment methods can use diagnostic as well as functional information. Diagnostic information alone is likely to under-represent the complexity and needs of children with NDD/D and their families.
Authors: Matthew J Russell; Shainur Premji; Sheila Mcdonald; Jennifer D Zwicker; Suzanne Tough Journal: Dev Med Child Neurol Date: 2019-08-30 Impact factor: 5.449
Authors: Louise C Mâsse; Teresia M O'Connor; Yingyi Lin; Nicole S Carbert; Sheryl O Hughes; Tom Baranowski; Mark R Beauchamp Journal: Int J Behav Nutr Phys Act Date: 2020-11-04 Impact factor: 6.457