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Brief Report: Training New Zealand Well Child/Tamariki Ora Nurses on Early Autism Signs Using the Social Attention and Communication Surveillance-Revised.

Hannah WaddingtonDaniel ShepherdLarah van der MeerNaomi Powell-HectorEleanor WilsonJosephine Barbaro
Published in: Journal of autism and developmental disorders (2021)
Universal developmental surveillance is considered best practice for early identification of autism. We analysed data from 175 New Zealand Well-Child/Tamariki Ora nurses who attended a 1-day training in developmental surveillance for autism using the social attention and communication surveillance-revised (SACS-R) tool. We used a survey to measure nurses' knowledge of typical development, knowledge of early signs of autism, general autism knowledge, and confidence in identifying and discussing early signs, prior to the workshop, after the workshop, and at follow-up. We measured perceived acceptability of the SACS-R after the workshop and at follow-up. Nurses showed improvements on all measures from pre-workshop to post-workshop and pre-workshop to follow-up. Implementation of the SACS-R across different contexts appears feasible and acceptable.
Keyphrases
  • healthcare
  • mental health
  • autism spectrum disorder
  • intellectual disability
  • public health
  • primary care
  • depressive symptoms
  • machine learning
  • big data
  • quality improvement
  • deep learning
  • artificial intelligence