Evidence map›Paper›PMID 36961960›Full record

ArticleAmerican journal of speech-language pathology2023

A Qualitative Analysis of Clinician Perspectives of Ultrasound Biofeedback for Speech Sound Disorders.

Sarah Dugan, Sarah M Schwab, Reneé Seward, James Avant, Ting Zhang, Sarah R Li, Kathryn Eary, T Douglas Mast, Michael A Riley, Suzanne Boyce

Open access · greenAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Sarah DuganDepartment of Rehabilitation, Exercise, & Nutrition Sciences, University of Cincinnati, OH.ORCID 0000-0002-1063-7422
Sarah M SchwabDepartment of Rehabilitation, Exercise, & Nutrition Sciences, University of Cincinnati, OH.ORCID 0000-0002-3835-5718
Reneé SewardMyron E. Ullman, Jr. School of Design, University of Cincinnati, OH.ORCID 0000-0002-2503-6996
James AvantMyron E. Ullman, Jr. School of Design, University of Cincinnati, OH.ORCID 0000-0001-9257-2628
Ting ZhangMyron E. Ullman, Jr. School of Design, University of Cincinnati, OH.ORCID 0000-0003-0691-8069
Sarah R LiDepartment of Biomedical Engineering, University of Cincinnati, OH.ORCID 0000-0001-8026-3414
Kathryn EaryDepartment of Biomedical Engineering, University of Cincinnati, OH.
T Douglas MastDepartment of Biomedical Engineering, University of Cincinnati, OH.ORCID 0000-0002-5963-7335
Michael A RileyDepartment of Rehabilitation, Exercise, & Nutrition Sciences, University of Cincinnati, OH.ORCID 0000-0002-3632-204X
Suzanne BoyceDepartment of Communication Sciences & Disorders, University of Cincinnati, OH.ORCID 0000-0003-2105-2486
University of Cincinnati · US

Funding

Simplified Ultrasound Biofeedback for Speech RemediationR01DC017301 · NIDCD · UNIVERSITY OF CINCINNATI · PI BOYCE, SUZANNE ELIZABETH, MAST, T DOUGLAS · 2018 to 2022
$2.6M
NIDCD NIH HHS R01 DC017301
6 · The paper itself

Abstract

purposeUltrasound biofeedback therapy (UBT) is a relatively new type of technology-assisted speech-language therapy and has shown promise in remediating speech sound disorders. However, there is a current lack of understanding of the barriers and benefits that may influence the usage behavior and clinical decision making for the implementation of UBT from a clinician perspective. In this qualitative study, we explore the perspectives of speech-language pathologists (SLPs) who have used ultrasound biofeedback in programs of speech sound therapy using the unified theory of acceptance and use of technology (UTAUT) model.

methodSeven SLPs who had clinical experience treating speech sound disorders with UBT participated. Semistructured in-depth interviews were conducted and video-recorded. Two coders coded and categorized the transcribed data, with consensus established with a third coder. Using thematic analysis, the data were exploratorily grouped into themes along components of the UTAUT model.

resultsThe highest number of codes was sorted into the "effort expectancy" theme, followed by "performance expectancy," "social influence," and "facilitating conditions" themes of the UTAUT model. Clinicians identified multiple perceived barriers and benefits to the use of ultrasound technology. The top identified barrier was limited accessibility, and the top benefit was the ability to visualize a client's articulatory response to cues on a display.

conclusionsClinicians prioritized "effort expectancy" and "performance expectancy" when reflecting on the use of ultrasound biofeedback for speech sound disorders. Clinicians spoke favorably about using UBT for speech sound disorder treatment but acknowledged institutional barriers and limitations at organizational and social levels.

Indexed as

Communication DisordersSpeech-Language PathologySpeech Sound DisorderBiofeedback, PsychologyHumansSpeechSpeech TherapyUltrasonography

Identifiers

PMID36961960
PMCPMC10484626
OpenAlexW4360826433

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.