Evidence map›Paper›PMID 37267425›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2023

A Comparison of Maternal and Clinician Perception of Communication in Autistic Toddlers.

Yael S Stern, Jordan Lee, Rachel Levy, Alana Glickman, Jeffrey Grauzer, Aaron J Kaat, Megan Y Roberts

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Yael S SternRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.ORCID 0000-0002-8041-3985
Jordan LeeRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.ORCID 0000-0002-2428-7523
Rachel LevyRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.
Alana GlickmanRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.
Jeffrey GrauzerRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.ORCID 0000-0001-6202-9851
Aaron J KaatDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0001-8147-1899
Megan Y RobertsRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.ORCID 0000-0002-4699-0236
Northwestern University · US

Funding

Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
The role of parent phenotype in parent-mediated language interventions for autismR01DC014709 · NIDCD · NORTHWESTERN UNIVERSITY · PI ROBERTS, MEGAN Y · 2015 to 2019
$3.7M
NIA NIH HHS P30 AG066462NIDCD NIH HHS R01 DC014709
6 · The paper itself

Abstract

purposeParent instruction in communication facilitation strategies for autistic toddlers relies on assumptions that parents interpret child behaviors in alignment with clinician definitions of communication. The purpose of this study was to identify features of child behaviors that are predictive of alignment in identification of child communication between clinical researchers and mothers of young autistic children.

methodParticipants were 33 mothers and their autistic children between 18 and 48 months of age. Mothers' and clinical researchers' perceptions of child communication were assessed using a procedure in which mothers and clinical researchers each independently identified child communication in the same ten 1-min video clips of each mother's child. Endorsed communicative acts were coded for the presence of conventional forms (e.g., vocalization) and potentially communicative forms (e.g., body movement). Multilevel binomial regressions, fit with Bayesian inference, were conducted to predict classification of maternal endorsements of child communication based on the presence of conventional and potentially communicative forms as either an aligned act (i.e., act endorsed by mother and clinical researcher as communicative) or a unique maternal endorsement (i.e., act endorsed by mother but not clinical researcher).

resultsThe presence of vocalization, verbalization, and gesture each significantly predicted increased likelihood of alignment; the presence of eye contact did not. Although repetitive and sensory behaviors significantly increased the likelihood of unique maternal endorsement, affect shifts and body movements each significantly reduced the likelihood of unique maternal endorsement, and hand activity was not significantly predictive of unique maternal endorsement.

conclusionsMisalignment in mothers' and clinical researchers' identification of communication may be in part due to mothers' endorsement of behavioral forms that are not traditionally classified as part of a child's communication repertoire. Findings emphasize the need to work toward designing communication interventions that consider the ways in which clinicians and parents of autistic children each bring their own interpretive frameworks to the early intervention experience.

Indexed as

Autistic DisorderMother-Child RelationsBayes TheoremChild, PreschoolCommunicationFemaleHumansMothersPerception

Identifiers

PMID37267425
PMCPMC10465156
OpenAlexW4379117508

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.