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Record W2912388145 · doi:10.1177/2396941518824497

Developmental social pragmatic interventions for preschoolers with autism spectrum disorder: A systematic review

2019· review· en· W2912388145 on OpenAlexaff
Amanda Binns, Janis Oram Cardy

Bibliographic record

VenueAutism & Developmental Language Impairments · 2019
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychological interventionPsychologyAutism spectrum disorderAutismDevelopmental psychologySocial skillsLanguage developmentPsychiatry

Abstract

fetched live from OpenAlex

Background and aims Developmental social pragmatic interventions are one treatment option for supporting the social communication and language skills of preschool children with autism spectrum disorder. Our first aim was to differentiate interventions using a developmental social pragmatic model from other developmental or naturalistic behavioral approaches. We applied explicit criteria outlining core features of developmental social pragmatic interventions to identify programs that use these core features. We then systematically reviewed studies examining the impact of developmental social pragmatic interventions in supporting (a) foundational social communication and language skills of preschool children with autism spectrum disorder and (b) caregiver interaction style. Additionally, we reviewed results exploring mediators and potential factors influencing children’s response to developmental social pragmatic interventions. Methods A multistep comprehensive search strategy was used to identify developmental social pragmatic treatments and studies examining their effectiveness for preschool children with autism spectrum disorder. The characteristics of each study and their outcomes were then reviewed, and a modified Critical Appraisal Skills Programme tool was used to evaluate rigor. Main contribution/Results Six interventions that met criteria to be classified as developmental social pragmatic are examined within this review. Ten studies of varying methodological rigor met criteria for inclusion and collectively reported on the outcomes of 716 preschool-aged children with autism spectrum disorder. All of the studies examined foundational communication outcomes and all but one reported positive outcomes for at least one of the measures. Seven studies examined language outcomes. While results were positive for language use within natural contexts, they were mixed for overall, receptive, and expressive language. Parents’ interaction styles significantly changed postintervention, namely in terms of increased responsiveness, synchronous behavior, use of affect, and decreased directiveness. Only two studies conducted formal mediation analysis and found that parent responsiveness and synchronous behavior were related to children’s positive response to treatment. Conclusions This review suggests that developmental social pragmatic treatments positively impact children’s foundational communication capacities (i.e. attention, social referencing, joint attention, initiation, reciprocity). Positive findings were not consistently found for supporting children’s language. Further, methodologically rigorous studies are needed to draw definitive conclusions. Additional research exploring components of developmental social pragmatic treatments that might mediate response to treatment is needed. Implications This review provides synthesized information for clinicians, families, and researchers on the effectiveness of developmental social pragmatic interventions for improving children’s foundational communication. It also suggests directions for future research and provides ideas for enhancing methodological rigor and promoting more homogeneity among treatment implementation and outcome assessments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0100.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.363
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2019
Admission routes1
Has abstractyes

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