MétaCan
Menu
Back to cohort
Record W4284975401 · doi:10.2196/39423

Comparison of the Effects of Movement-Based Interventions Delivered Face-to-face Versus Via Telehealth on Restricted and Repetitive Behaviors of Children With Autism Spectrum Disorder

2022· article· en· W4284975401 on OpenAlexvenueno aff
Avadhut Khade, Megan Shuguli, Wan-Chun Su, Corina Cleffi, Anjana Bhat, Sudha Srinivasan

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutism spectrum disorderNonverbal communicationAutismPsychological interventionIntervention (counseling)Gross motor skillTelehealthRandomized controlled trialPervasive developmental disorderMedicinePsychologyClinical psychologyAudiologyPhysical therapyPhysical medicine and rehabilitationMotor skillTelemedicinePsychiatryDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

Background Autism spectrum disorder (ASD) is the most common pediatric neurodevelopmental disorder with a prevalence of 1 in every 44 children. Children with ASD exhibit social communication and behavioral impairments including poor verbal and nonverbal communication and heightened frequencies of repetitive and maladaptive behaviors (RBs). Objective Our randomized controlled trial compares face-to-face (F2F) versus telehealth-based intervention delivery for three types of interventions: two whole-body gross motor interventions and a conventional seated play (SP) intervention on RBs in children with ASD. Methods A total of 45 children with a confirmed diagnosis of ASD (aged 5-14 years) were recruited, matched on age bands and level of functioning, and randomly assigned to 1 of the 3 intervention groups, creative movement (CM), general movement (GM), or SP. Sessions were 1 to 1.5 hours long and were conducted with the child twice a week over 8 weeks by an expert clinician, adult confederate, and the caregiver. We coded videos of early and late training sessions for 3 types of RBs: sensory, stereotyped, and negative. Frequencies per standard time were calculated for RBs across early and late sessions. Results Data from a subset of 39 children suggest that there was a significant reduction in total RBs from an early to a late session in the CM group (early: mean 34.8, SE 5.0; late: mean 24.7, SE 3.9; P=.01) but not in the GM (early: mean 34.8, SE 5.0; late: mean 24.7, SE 3.9; P=.01) and SP groups (early: mean 14.6, SE 3.1; late: mean 15.2, SE 4.0; P=.79). The reduction in total RBs in the CM group did not differ significantly between children seen F2F (mean 14.2, SE 4.4) versus via telehealth (mean 5.3, SE 3.8; P=.20). The CM group specifically reduced frequencies of sensory (early: mean 10.7, SE 1.8; late: mean 6.2, SE 1.9; P=.03) and negative (early: mean 10.7, SE 2.6; late: mean 7.4, SE 2.3; P=.01) behaviors. Similar to the trends reported above, the reductions were not significantly different for children seen F2F and via telehealth (sensory F2F: mean 5.1, SE 1.8; sensory telehealth: mean 4.7, SE 3.7; P=.92; negative F2F: mean 2.6, SE 1.3; negative telehealth mean 3.7, SE 2.1; P=.66). Conclusions CM activities involving music and movement are novel contexts and lead to higher frequencies of RBs at baseline compared to conventional SP activities in children with ASD. However, training children reduced the frequencies of RBs, especially negative and sensory behaviors. No improvements were found in the GM or SP groups. Although our sample size was limited, preliminary data suggests similar trends for improvement in children seen F2F versus via telehealth. Telehealth-based training seems to be a viable mode of intervention delivery for families with difficulties accessing in-person care. Conflicts of Interest None declared.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.318
Teacher spread0.296 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueIproceedingsSame topicAutism Spectrum Disorder ResearchFrench-language works237,207