Evidence map›Paper›PMID 34748134›Full record

ArticleJournal of autism and developmental disorders2022

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

Hannah Waddington, Daniel Shepherd, Larah van der Meer, Naomi Powell-Hector, Eleanor Wilson, Josephine Barbaro

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hannah WaddingtonSchool of Education, Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand. hannah.waddington@vuw.ac.nz.ORCID http://orcid.org/0000-0003-3787-0301
Daniel ShepherdDepartment of Psychology, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
Larah van der MeerSchool of Education, Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand.
Naomi Powell-HectorSchool of Education, Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand.
Eleanor WilsonSchool of Education, Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand.
Josephine BarbaroOlga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Kingsbury Drive, Bundoora, Melbourne, VIC, 3086, Australia.

Funding

victoria university of wellington 222692
6 · The paper itself

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.

Indexed as

Autism Spectrum DisorderAutistic DisorderAttentionClinical CompetenceCommunicationHumansNew ZealandAutism spectrum disorderDevelopmental surveillanceEarly detectionEarly identificationKnowledgeNew Zealand

Identifiers

PMID34748134
PMCPMC8574927

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.