Evidence map›Paper›PMID 41327930›Full record

ArticleInternational journal of language & communication disorders

Self-Supervised App-Based Speech Training for Children With Speech Sound Disorder-A Single-Case Experimental Design Study.

Sofia Strömbergsson, Ella Edlund, Magdalena Pettersson, Nhan Phan, Mikko Kurimo

Abstract read
In one paragraph

Article in International journal of language & communication disorders. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

5 authors.

Sofia StrömbergssonDivision of Speech and Language Pathology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4745-3456
Ella EdlundDepartment of Neurology, Division of Speech and Language Pathology, Danderyd Hospital, Stockholm, Sweden.
Magdalena PetterssonDepartment of Neurology, Division of Speech and Language Pathology, Danderyd Hospital, Stockholm, Sweden.
Nhan PhanDepartment of Information and Communications Engineering, Aalto University, Espoo, Finland.ORCID https://orcid.org/0000-0003-2040-9834
Mikko KurimoDepartment of Information and Communications Engineering, Aalto University, Espoo, Finland.ORCID https://orcid.org/0000-0001-5278-7974

Funding

103893NordForsk
6 · The paper itself

Abstract

backgroundFor children with speech sound disorder (SSD), speech intervention often involves a considerable amount of home-training, to achieve high-enough training frequency to promote speech change. A digital speech-training app has been developed that could serve as a cost-effective means of providing accessible intervention to children with SSD.

aimsTo evaluate whether self-supervised home-training with the app Pop2TalkNordic can expedite more target-like speech for children with SSD and to explore children's experiences of using the app. METHODS AND PROCEDURES: Four 4-6-year-old Swedish children with SSD participated in a single-case experimental design study, with a multiple-baseline across-subjects design. The children's production of target error patterns was monitored during baseline and intervention phases, for trained and untrained stimulus words. Three weeks of self-supervised training with the app, with an aspired frequency of 5 days a week, in 15-min training sessions, served as the intervention. The children's app usage was tracked, and their production of target word stimuli was recorded via the app. OUTCOMES AND

resultsNone of the children reached more target-like production of targeted consonants as a result of the intervention. For two participants, slight improvement was observed on trained, but not untrained, word stimuli. In terms of user experiences, the children varied from liking the game a lot and finding it easy, to not liking the game much at all and finding it difficult. CONCLUSIONS AND IMPLICATIONS: In its current form, and when delivered as a self-supervised training-activity over three weeks, training with Pop2TalkNordic is not sufficient to expedite more target-like speech in children with SSD. More parental engagement in the children's training with the app, and changes in game design (e.g., highlighting phonological contrast and allowing playback of multiple exemplars of target word items), are suggested routes to achieve better outcomes. WHAT THIS PAPER ADDS: What is already known on this subject To achieve high-enough intervention dose, home-training is often an important part of intervention for speech sound disorder (SSD). This is not always easy for families to attain, however, and digital speech training games may offer an attractive alternative or complement. What this paper adds to existing knowledge By tracking four children's usage and speech production over three weeks of playing a speech training game at home, the paper shows that the current version of the game and the implemented intervention delivery are not sufficient to promote more accurate production of targeted speech sounds. What are the potential or actual clinical implications of this work? Before recommending the speech training game for children with SSD, changes are recommended both with regard to the design of the game itself (e.g., refining the feedback provided in the game) and to the intervention delivery (e.g., increasing parental involvement).

Indexed as

Mobile ApplicationsSpeech Sound DisorderSpeech TherapyChildChild, PreschoolFemaleHumansMaleSingle-Case Studies as TopicSwedeninterventionspeech sound disorderspeech technology

Identifiers

PMID41327930
PMCPMC12670065

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LicenceCC BY
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Registered trials

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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.