Author(s): Lai B, Milano M, Roberts MW, Hooper SR
Abstract Share this page
Abstract Mail-in pilot-tested questionnaires were sent to a stratified random sample of 1,500 families from the North Carolina Autism Registry. Multivariate logistic regression analysis was used to determine the significance of unmet dental needs and other predictors. Of 568 surveys returned (Response Rate = 38\%), 555 were complete and usable. Sixty-five (12\%) children had unmet dental needs. Of 516 children (93\%) who had been to a dentist, 11\% still reported unmet needs. The main barriers were child's behavior, cost, and lack of insurance. The significant predictor variables of unmet needs were child's behavior (p = 0.01), child's dental health (p < 0.001), and caregiver's last dental visit greater than 6 months (p = 0.002). Type of ASD did not have an effect on having unmet dental needs.
This article was published in J Autism Dev Disord
and referenced in Autism-Open Access