Evidence map›Paper›PMID 38509662›Full record

Trial reportJournal of medical Internet research2024

Smartphone-Based Speech Therapy for Poststroke Dysarthria: Pilot Randomized Controlled Trial Evaluating Efficacy and Feasibility.

Yuyoung Kim, Minjung Kim, Jinwoo Kim, Tae-Jin Song

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05146765 (Efficacy of a Digital Therapeutic for People With Dysarthria After Stroke; Pilot Trial), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.9field-weighted citation impact, top 6% 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.

NCT05146765 nacompletednot on this map

Efficacy of a Digital Therapeutic for People With Dysarthria After Stroke; Pilot Trial

TypeinterventionalSponsorEwha Womans University Seoul HospitalRan2022 to 2022Enrolled40ConditionsDysarthria as Late Effect of StrokeArmsMobile application, Treatment as usual
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Stroke-associated dysarthria.Frontiers in neurology · 2025
    Review
  4. Artificial Intelligence in Communication Sciences and Disorders: Introduction to the Forum.Journal of speech, language, and hearing research : JSLHR · 2024
    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

4 authors at 3 institutions in 3 countries.

Yuyoung KimHuman Computer Interaction Lab, Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0003-2309-8058
Minjung KimHuman Computer Interaction Lab, Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea.ORCID 0009-0007-9727-9376
Jinwoo KimHuman Computer Interaction Lab, Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-0162-5446
Tae-Jin SongDepartment of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-9937-762X
Ai Corporation (United Kingdom) · GBEwha Womans University · KRHuman Computer Interaction (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysarthria is a common poststroke speech disorder affecting communication and psychological well-being. Traditional speech therapy is effective but often poses challenges in terms of accessibility and patient adherence. Emerging smartphone-based therapies may offer promising alternatives for the treatment of poststroke dysarthria.

objectiveThis study aimed to assess the efficacy and feasibility of smartphone-based speech therapy for improving speech intelligibility in patients with acute and early subacute poststroke dysarthria. This study also explored the impact of the intervention on psychological well-being, user experience, and overall feasibility in a clinical setting.

methodsParticipants were divided into 2 groups for this randomized, evaluator-blinded trial. The intervention group used a smartphone-based speech therapy app for 1 hour per day, 5 days per week, for 4 weeks, with guideline-based standard stroke care. The control group received standard guideline-based stroke care and rehabilitation. Speech intelligibility, psychological well-being, quality of life, and user acceptance were assessed using repeated measures ANOVA.

resultsIn this study, 40 patients with poststroke dysarthria were enrolled, 32 of whom completed the trial (16 in each group). The intervention group showed significant improvements in speech intelligibility compared with the control group. This was evidenced by improvements from baseline (F

conclusionsThe smartphone-based speech therapy app significantly improved speech intelligibility, articulation, and quality of life in patients with poststroke dysarthria. These findings indicate that smartphone-based speech therapy can be a useful assistant device in the management of poststroke dysarthria, particularly in the acute and early subacute stroke stages.

trial registrationClinicalTrials.gov NCT05146765; https://clinicaltrials.gov/ct2/show/NCT05146765.

Indexed as

DysarthriaFeasibility StudiesSmartphoneSpeech TherapyStrokeAgedFemaleHumansMaleMiddle AgedMobile ApplicationsPilot ProjectsQuality of LifeStroke RehabilitationTreatment Outcomeacute and early subacuteappdysarthriafeasibilitymobile phonesmartphonespeech therapystroke

Identifiers

PMID38509662
PMCPMC11082729
OpenAlexW4393052886

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.