Social disadvantage and developmental diagnosis in pre-schoolers.

AIM: To explore the association between social disadvantage and developmental diagnoses in pre-school children. METHODS: Between 2012 and 2015, 845 pre-school children were assessed by the Child Assessment Team at Campbelltown Hospital. A social worker interviewed 469 families and these children were eligible for inclusion in the study. Autism spectrum disorder (ASD) was confirmed in 290 children. Of those without ASD, 72 did not have global developmental delay (GDD) and were excluded from the study. The remaining 107 children with GDD were used as the comparison group. Social risk factors in the two groups were compared using χ 2 tests. Variables with statistical significance were then entered into a logistic regression. RESULTS: After logistic regression, children with ASD were more likely to be male (odds ratio (OR) 3.1, 95% CI 0.195-0.529; P < 0.001) and their parents were more likely to have a clinically significant stress score (OR 1.3, 95% CI 0.334-0.992; P = 0.047). Children with GDD were more likely to live in a disadvantaged suburb (OR 1.7, 95% CI 1.042-2.940; P = 0.034), more likely to have a sole parent (OR 1.8, 95% CI 1.062-3.082; P = 0.029) and much more likely to have had involvement with child protection services (OR 3.9, 95% CI 2.044-7.416; P < 0.001). CONCLUSIONS: Children with GDD without autism were more likely to be disadvantaged and to have had contact with child protection services than children with ASD. This has implications for the assessment, early intervention and support services for children with disabilities and their families.

Determinants of developmental progress in pre-schoolers referred for neuro-developmental diagnosis.

AIM: To determine factors associated with change in developmental progress in pre-schoolers referred to a developmental clinic. METHODS: Of 360 pre-schoolers referred to a Child Assessment clinic for neuro-developmental diagnosis before 3.6 years, 190 (53%) were reassessed prior to school entry and recruited to this study. They were assessed with the Bayley Scales of Infant and Toddler Development (3rd edn) before 3.5 years and the Griffiths Mental Development Scales before school entry. The influence of medical and environmental variables on improvement or deterioration in scores (±0.5 SD) was examined using logistic regression. RESULTS: Consistent scores were present in 51.6% of children, and associated with environmental variables. Children with stable scores were more likely to live in a suburb of social advantage (OR = 3.2; 95%CI = 1.37-7.64, P = 0.008) or to come from families dependent on welfare or public housing (OR=4.8; 95%CI = 2.19-10.49, P < 0.001). Improvement was seen in 18.1% of children; they were more likely to have commenced therapy after the first assessment (OR = 2.4; 95%CI = 1.05-5.58, P = 0.038). Deterioration of scores was seen in 30% of children. Children with a mild delay on initial assessment were less likely to deteriorate (OR = 2.9; 95%CI = 1.16-7.04, P = 0.022), while lower scores were more likely in children with neuro-motor disabilities (OR = 10.8; 95%CI = 2.64-44.58, P < 0.001), and chromosomal variations of both known and unknown significance (OR = 4.4; 95%CI = 1.54-12.76, P = 0.006). CONCLUSIONS: Socio-economic advantage and disadvantage are associated with stable scores, but introducing intervention is associated with improved scores. Deterioration is most likely in children with chromosomal variations or neuro-motor disabilities, and regular reassessment of these children is recommended.

Families referred to a Child Assessment Team: the Campbelltown experience.

AIM: To study the socio-demographic and psychosocial risk factors of families presenting with their children for a diagnostic developmental assessment. METHODS: Socio-demographic details of children who had a multidisciplinary developmental assessment with the Child Assessment Team at Campbelltown Hospital between January 2009 and December 2010 were collated and compared with census data. RESULTS: In 2009 and 2010, 277 families were seen by the Child Assessment Team. A detailed socio-demographic profile was available for 251 (91%) families. Parents seen in the clinic were more likely to be younger, single, born overseas, have less post-school education, identify as Aboriginal and/or live in public housing compared with the district rates. CONCLUSIONS: Families presenting to the developmental clinic have more socio-economic disadvantage compared with the referring district. This has implications for service delivery and clinical presentation, and highlights the importance of the social worker's role in a developmental diagnostic team.