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

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Waddington, H., Shepherd, D., van der Meer, L., Powell-Hector, N., Wilson, E., & Barbaro, J. (2021). Brief Report: Training New Zealand Well Child/Tamariki Ora Nurses on Early Autism Signs Using the Social Attention and Communication Surveillance-Revised. Journal of Autism and Developmental Disorders, 52(11), 5050-5057. https://doi.org/10.1007/s10803-021-05344-7

Publication date: 8 Nov 2021 Added to AutiHub: 7 Sep 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
6
Publication authors identified as autistic
1 / 6 (16.7%)

Abstract

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.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 12 Sep 2026 18:18.

Cited references
27
With a DOI
27
Without a DOI, from raw bibliography text
0
10 / 27 (37.0%) cited references include at least one author identified as autistic.
References with data to complete
0 / 27 (0.0%)
References with detected author names
27 / 27 (100.0%)
Without detected author names
0
Without a structured title
0
Without a stable identifier
0
References with raw author names still to review
0
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
207
From DOI or external metadata
207
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
74 / 207 (35.7%) names are linked to an author already present in AutiHub. 133 / 207 (64.3%) names are not yet linked.
Names linked to a person identified as autistic
10 / 207 (4.8%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 10 / 74 (13.5%). Distinct people identified as autistic: 1 / 147 (0.7%).
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