Evidence map›Paper›PMID 30907929›Full record

Trial reportJAMA pediatrics2019

Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder: A Randomized Clinical Trial.

Catalin Voss, Jessey Schwartz, Jena Daniels, Aaron Kline, Nick Haber, Peter Washington, Qandeel Tariq, Thomas N Robinson, Manisha Desai, Jennifer M Phillips and 3 more

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 101 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 21 pooled it
11.4field-weighted citation impact, top 1% 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.

NCT03569176 nacompletednot on this map

Superpower Glass Project: A Mobile At-home Intervention for Children With Autism

TypeinterventionalSponsorDennis Paul WallRan2016 to 2018Enrolled74ConditionsAutism Spectrum DisorderArmsAutism Glass
NCT04418921 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Self-Regulation in Children With Neurodevelopmental Disorders "SR-MRehab: Un Colegio Emocionante": a Protocol Study With Virtual Reality

TypeinterventionalSponsorUniversidad de GranadaRan2022 to 2023Enrolled42ConditionsChild Behavior Disorders, ASD, ADHDArmsSelf-regulation: MRehab - Un colegio emocionante, clinical trial with non-immersive virtual reality, Traditional self-regulation program
3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 21 syntheses or guidelines pooled it, 203 citations in OpenAlex.

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  17. Digital Interventions for Autism Spectrum Disorder: A Meta-analysis.Journal of autism and developmental disorders · 2021
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  19. Guideline
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41 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Catalin VossDepartment of Computer Science, Stanford University, Stanford, California.
Jessey SchwartzDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Jena DanielsDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Aaron KlineDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Nick HaberDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Peter WashingtonDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Qandeel TariqDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Thomas N RobinsonDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Manisha DesaiDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Jennifer M PhillipsDepartments of Pediatrics (Stanford Solutions Science Lab) and Medicine, Stanford University, Stanford, California.
Carl FeinsteinDepartments of Pediatrics (Stanford Solutions Science Lab) and Medicine, Stanford University, Stanford, California.
Terry WinogradDepartment of Computer Science, Stanford University, Stanford, California.
Dennis P WallDepartment of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
Stanford University · US

Funding

Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcareR01LM013083 · NLM · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2019 to 2022
$2.6M
QuBBD: Wearable artificial intelligence for bid data-driven healthcare in child development R01EB025025 · NIBIB · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2017 to 2019
$1.1M
NIBIB NIH HHS R01 EB025025NLM NIH HHS R01 LM013083
6 · The paper itself

Abstract

Importance: Autism behavioral therapy is effective but expensive and difficult to access. While mobile technology-based therapy can alleviate wait-lists and scale for increasing demand, few clinical trials exist to support its use for autism spectrum disorder (ASD) care. Objective: To evaluate the efficacy of Superpower Glass, an artificial intelligence-driven wearable behavioral intervention for improving social outcomes of children with ASD. Design, Setting, and Participants: A randomized clinical trial in which participants received the Superpower Glass intervention plus standard of care applied behavioral analysis therapy and control participants received only applied behavioral analysis therapy. Assessments were completed at the Stanford University Medical School, and enrolled participants used the Superpower Glass intervention in their homes. Children aged 6 to 12 years with a formal ASD diagnosis who were currently receiving applied behavioral analysis therapy were included. Families were recruited between June 2016 and December 2017. The first participant was enrolled on November 1, 2016, and the last appointment was completed on April 11, 2018. Data analysis was conducted between April and October 2018. Interventions: The Superpower Glass intervention, deployed via Google Glass (worn by the child) and a smartphone app, promotes facial engagement and emotion recognition by detecting facial expressions and providing reinforcing social cues. Families were asked to conduct 20-minute sessions at home 4 times per week for 6 weeks. Main Outcomes and Measures: Four socialization measures were assessed using an intention-to-treat analysis with a Bonferroni test correction. Results: Overall, 71 children (63 boys [89%]; mean [SD] age, 8.38 [2.46] years) diagnosed with ASD were enrolled (40 [56.3%] were randomized to treatment, and 31 (43.7%) were randomized to control). Children receiving the intervention showed significant improvements on the Vineland Adaptive Behaviors Scale socialization subscale compared with treatment as usual controls (mean [SD] treatment impact, 4.58 [1.62]; P = .005). Positive mean treatment effects were also found for the other 3 primary measures but not to a significance threshold of P = .0125. Conclusions and Relevance: The observed 4.58-point average gain on the Vineland Adaptive Behaviors Scale socialization subscale is comparable with gains observed with standard of care therapy. To our knowledge, this is the first randomized clinical trial to demonstrate efficacy of a wearable digital intervention to improve social behavior of children with ASD. The intervention reinforces facial engagement and emotion recognition, suggesting either or both could be a mechanism of action driving the observed improvement. This study underscores the potential of digital home therapy to augment the standard of care. Trial Registration: ClinicalTrials.gov identifier: NCT03569176.

Indexed as

SocializationWearable Electronic DevicesArtificial IntelligenceAutism Spectrum DisorderBehavior TherapyChildCombined Modality TherapyFemaleFollow-Up StudiesHumansIntention to Treat AnalysisMaleMobile ApplicationsSmartphoneTreatment Outcome

Identifiers

PMID30907929
PMCPMC6503634
OpenAlexW2925256473

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.