Evidence map›Paper›PMID 28655050›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2017

Enhancing Intervention for Residual Rhotic Errors Via App-Delivered Biofeedback: A Case Study.

Tara McAllister Byun, Heather Campbell, Helen Carey, Wendy Liang, Tae Hong Park, Mario Svirsky

Registry-linked trialAbstract readCase Reports
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04858022 (Online Assessment and Enhancement of Auditory Perception for Speech Sound Errors), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT04858022 phase2completednot on this mapstarted 2022, after this paper: background citation

Online Assessment and Enhancement of Auditory Perception for Speech Sound Errors: Visual Acoustic Biofeedback for RSE Via Telepractice

TypeinterventionalSponsorMontclair State UniversityRan2022 to 2024Enrolled40ConditionsSpeech Sound DisorderArmsVisual-Acoustic Biofeedback Treatment, No Treatment
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Tutorial: Using Visual-Acoustic Biofeedback for Speech Sound Training.American journal of speech-language pathology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Tara McAllister ByunSteinhardt School of Culture, Education, and Human Development, New York University.
Heather CampbellSteinhardt School of Culture, Education, and Human Development, New York University.
Helen CareyTandon School of Engineering, New York University.
Wendy LiangSteinhardt School of Culture, Education, and Human Development, New York University.
Tae Hong ParkSteinhardt School of Culture, Education, and Human Development, New York University.
Mario SvirskyLangone Medical Center, New York University.

Funding

Understanding and eliminating residual speech errors with acoustic biofeedbackR03DC012883 · NIDCD · NEW YORK UNIVERSITY · PI MCALLISTER, TARA · 2013 to 2015
$458k
NIDCD NIH HHS R03 DC012883
6 · The paper itself

Abstract

Purpose: Recent research suggests that visual-acoustic biofeedback can be an effective treatment for residual speech errors, but adoption remains limited due to barriers including high cost and lack of familiarity with the technology. This case study reports results from the first participant to complete a course of visual-acoustic biofeedback using a not-for-profit iOS app, Speech Therapist's App for /r/ Treatment. Method: App-based biofeedback treatment for rhotic misarticulation was provided in weekly 30-min sessions for 20 weeks. Within-treatment progress was documented using clinician perceptual ratings and acoustic measures. Generalization gains were assessed using acoustic measures of word probes elicited during baseline, treatment, and maintenance sessions. Results: Both clinician ratings and acoustic measures indicated that the participant significantly improved her rhotic production accuracy in trials elicited during treatment sessions. However, these gains did not transfer to generalization probes. Conclusions: This study provides a proof-of-concept demonstration that app-based biofeedback is a viable alternative to costlier dedicated systems. Generalization of gains to contexts without biofeedback remains a challenge that requires further study. App-delivered biofeedback could enable clinician-research partnerships that would strengthen the evidence base while providing enhanced treatment for children with residual rhotic errors. Supplemental Material: https://doi.org/10.23641/asha.5116318.

Indexed as

Biofeedback, PsychologyMobile ApplicationsSpeech TherapyTherapy, Computer-AssistedAdolescentArticulation DisordersFemaleGeneralization, PsychologicalHumansPhoneticsProof of Concept StudySpeech AcousticsTreatment Outcome

Identifiers

PMID28655050
PMCPMC5544407

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.