The Effectiveness of Ultrasound Visual Biofeedback in Articulation Therapy for Children and Adolescents With Speech Sound Disorders: A Systematic Review and Meta‐Analysis

What is already known on this subject A 2019 systematic review qualitatively synthesized early evidence for ultrasound visual biofeedback (U-VBF) in speech sound disorders (SSDs), highlighting its promise as an adjunct for persistent errors but limited by small samples, few RCTs and no effect size pooling. Subsequent studies have introduced more robust designs and quantitative data, necessitating an update to quantify U-VBF's impact amid growing clinical interest. What this paper adds to existing knowledge This review updates the evidence with 35 studies (192 unique participants) and a novel meta-analysis of 16 studies, yielding a large pooled effect on articulation accuracy despite high heterogeneity. It identifies SSD subtype-specific variability and intensity influences, revealing reporting gaps that limit subgroup analyses. These findings provide the first quantitative benchmark, enabling future power calculations and stratified research. What are the potential or actual clinical implications of this work? U-VBF offers a viable tool for personalized SSD therapy, with enhanced intensity reporting guiding tailored protocols. Clinicians should integrate U-VBF judiciously, mindful of English-centric evidence and potential bias inflating effects. Future research should prioritize RCTs and non-English trials to refine applicability across diverse populations.

Authors

Institutions

Publication Details

Journal
International Journal of Language & Communication Disorders
Published
2026-02-18
DOI
https://doi.org/10.1111/1460-6984.70209
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effectiveness of Ultrasound Visual Biofeedback in Articulation Therapy for Children and Adolescents With Speech Sound Disorders: A Systematic Review and Meta‐Analysis

Oi Yan Yiu, Wilfred Hing Sang Wong, Winnie W. Y. Tso, P. C. T. Ip et al.
International Journal of Language & Communication Disorders
Phonetics and Phonology Research
article

The Effectiveness of Ultrasound Visual Biofeedback in Articulation Therapy for Children and Adolescents With Speech Sound Disorders: A Systematic Review and Meta‐Analysis

Oi Yan Yiu, Wilfred Hing Sang Wong, Winnie W. Y. Tso, P. C. T. Ip, Felicia Pokta, Agnes Yun Ting Fong
article en

Abstract

What is already known on this subject A 2019 systematic review qualitatively synthesized early evidence for ultrasound visual biofeedback (U-VBF) in speech sound disorders (SSDs), highlighting its promise as an adjunct for persistent errors but limited by small samples, few RCTs and no effect size pooling. Subsequent studies have introduced more robust designs and quantitative data, necessitating an update to quantify U-VBF's impact amid growing clinical interest. What this paper adds to existing knowledge This review updates the evidence with 35 studies (192 unique participants) and a novel meta-analysis of 16 studies, yielding a large pooled effect on articulation accuracy despite high heterogeneity. It identifies SSD subtype-specific variability and intensity influences, revealing reporting gaps that limit subgroup analyses. These findings provide the first quantitative benchmark, enabling future power calculations and stratified research. What are the potential or actual clinical implications of this work? U-VBF offers a viable tool for personalized SSD therapy, with enhanced intensity reporting guiding tailored protocols. Clinicians should integrate U-VBF judiciously, mindful of English-centric evidence and potential bias inflating effects. Future research should prioritize RCTs and non-English trials to refine applicability across diverse populations.

International Journal of Language & Communication DisordersVol. 61(2)
Chinese University of Hong Kong (HK), Saint Francis University (HK), Caritas Medical Centre (CN), Duchess of Kent Children's Hospital (CN), University of Hong Kong (HK)
Quality Education
Openalex Percentile: Top 53%
Phonetics and Phonology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.