Evidence map›Paper›PMID 35050705›Full record

ArticleLanguage, speech, and hearing services in schools2022

Telepractice Treatment of Residual Rhotic Errors Using App-Based Biofeedback: A Pilot Study.

Laura Peterson, Christian Savarese, Twylah Campbell, Zhigong Ma, Kenneth O Simpson, Tara McAllister

2 registry-linked trialsAbstract read
In one paragraph

Article in Language, speech, and hearing services in schools, 2022. 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 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.

NCT06517225 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Visual-acoustic Intervention With Service Delivery In-person and Via Telepractice (VISIT) Non-Inferiority Trial

TypeinterventionalSponsorNew York UniversityRan2024 to 2028Enrolled76ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback
NCT06884943 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Randomized Trial of AI-Enhanced Maintenance Training With Visual-Acoustic Biofeedback

TypeinterventionalSponsorNew York UniversityRan2024 to 2029Enrolled76ConditionsSpeech Sound DisorderArmsAI-guided maintenance training with visual-acoustic biofeedback, Treatment as Usual (TAU)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Tutorial: Using Visual-Acoustic Biofeedback for Speech Sound Training.American journal of speech-language pathology · 2023
    Review
  6. Article
  7. Article
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.

Laura PetersonDepartment of Speech-Language Pathology, Rocky Mountain University of Health Professions, Provo, UT.
Christian SavareseDepartment of Linguistics, Harvard University, Cambridge, MA.
Twylah CampbellDepartment of Communicative Sciences and Disorders, New York University, NY.
Zhigong MaDepartment of Communicative Sciences and Disorders, New York University, NY.
Kenneth O SimpsonDepartment of Speech-Language Pathology, Rocky Mountain University of Health Professions, Provo, UT.
Tara McAllisterDepartment of Communicative Sciences and Disorders, New York University, NY.ORCID 0000-0003-2230-2897

Funding

Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor SubtypesR01DC017476 · NIDCD · NEW YORK UNIVERSITY · PI Tara McAllister · 2019 to 2026
$5.3M
staRt: Enhancing speech treatment with smartphone-delivered biofeedbackR41DC016778 · NIDCD · GIRLFRIENDS LABS, LLC · PI MCALLISTER, TARA · 2018 to 2018
$223k
NIDCD NIH HHS R01 DC017476NIDCD NIH HHS R41 DC016778
6 · The paper itself

Abstract

purposeAlthough mobile apps are used extensively by speech-language pathologists, evidence for app-based treatments remains limited in quantity and quality. This study investigated the efficacy of app-based visual-acoustic biofeedback relative to nonbiofeedback treatment using a single-case randomization design. Because of COVID-19, all intervention was delivered via telepractice.

methodParticipants were four children aged 9-10 years with residual errors affecting American English /ɹ/. Using a randomization design, individual sessions were randomly assigned to feature practice with or without biofeedback, all delivered using the speech app

resultsAll participants showed a clinically significant response to the overall treatment package, with effect sizes ranging from moderate to very large. One participant showed a significant advantage for biofeedback over nonbiofeedback treatment, although the order of treatment delivery poses a potential confound for interpretation in this case.

conclusionsWhile larger scale studies are needed, these results suggest that app-based treatment for residual errors can be effective when delivered via telepractice. These results are compatible with previous findings in the motor learning literature regarding the importance of treatment dose and the timing of feedback conditions. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.18461576.

Indexed as

COVID-19Mobile ApplicationsBiofeedback, PsychologyChildHumansPilot ProjectsSpeech Therapy

Identifiers

PMID35050705
PMCPMC9549922

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.