ReaDySpeech for people with dysarthria after stroke: protocol for a feasibility randomised controlled trial

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

BACKGROUND

Dysarthria 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.

OBJECTIVE

This 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.

METHODS

Participants 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.

RESULTS

In 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 (F1,30=34.35; P<.001), between-group differences (F1,30=6.18; P=.02), and notable time-by-group interactions (F1,30=6.91; P=.01). Regarding secondary outcomes, the intervention led to improvements in the percentage of correct consonants over time (F1,30=5.57; P=.03). In addition, significant reductions were noted in the severity of dysarthria in the intervention group over time (F1,30=21.18; P<.001), with a pronounced group effect (F1,30=5.52; P=.03) and time-by-group interaction (F1,30=5.29; P=.03). Regarding quality of life, significant improvements were observed as measured by the EQ-5D-3L questionnaire (F1,30=13.25; P<.001) and EQ-VAS (F1,30=7.74; P=.009) over time. The adherence rate to the smartphone-based app was 64%, with over half of the participants completing all the sessions. The usability of the app was rated high (system usability score 80.78). In addition, the intervention group reported increased self-efficacy in using the app compared with the control group (F1,30=10.81; P=.003).

CONCLUSIONS

The 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 REGISTRATION

ClinicalTrials.gov NCT05146765; https://clinicaltrials.gov/ct2/show/NCT05146765.

Speech rehabilitation in dysarthria after stroke: a systematic review of the studies

INTRODUCTION

Speech difficulties such as dysarthria or aphasia are frequently seen, in addition to motor impairments, in subjects after stroke.

EVIDENCE ACQUISITION

Literature searches with the keywords: "stroke" AND "dysarthria" AND "speech therapy" OR "language therapy" were conducted in PubMed, EMBASE, Cochrane Library and Web of Science to perform the systematic review about the several strategies used to treat dysarthria in subjects after stroke. The search was performed independently by two authors (CR and VM) from December 15th 2019 to January 15th 2020, using the PICOS criteria: participants were aging adults (>18 years old) affected by stroke; intervention was based on rehabilitation speech therapy; comparator was any comparator (all logopedic and speech rehabilitation tools); outcomes included clinical assessments, diagnostic scales and acoustic analysis of voice; and study design was RCTs, case series and case report, observational studies. The research identified a total of 94 articles for the first search and 56 for the second search. Sixty selected articles were analyzed by the reviewers. Twenty-five publications met the inclusion criteria and were included in the systematic review. Thirty-three articles were excluded for the following reasons: 12 involved individuals with aphasia or other speech problems different from dysarthria, 10 examined the clinical features of dysarthria, 3 treated on the impact of dysarthria on social participation following stroke, 8 did not include cases after stroke.

EVIDENCE SYNTHESIS

A systematic review was performed to identify the main used speech rehabilitation treatments for dysarthria after stroke. We defined the several techniques to better guide the physician to delineate a speech rehabilitation protocol adopting the better strategies described in the current literature.

CONCLUSIONS

This systematic review tried to provide to the reader a complete overview of the literature of all possible different speech treatments for dysarthria after stroke. A correct protocol could permit to improve the communication and the quality of life of these subjects.

Acupuncture combined with speech rehabilitation training for post-stroke dysarthria: A systematic review and meta-analysis of randomized controlled trials

Background

The evidence of Acupuncture combined with speech rehabilitation training for post-stroke dysarthria is insufficient and there is no consensus on its efficacy.

Methods

We searched seven Chinese and English medicine databases for randomized controlled trials (RCTs) from their inception to November 2019. The primary outcome measure was the clinical response rate, assessed with the Frenchay Dysarthria Assessment (FDA) tool. We assessed risk of bias using the Cochrane risk-of-bias tool. We used GRADE to assess the certainty of evidence (CoE).

Results

Thirty studies were included in this systematic review, 23 of which were pooled in meta-analysis. Acupuncture combined with speech rehabilitation training is likely beneficial for was response rate (n = 1685; RR = 1.37; 95% CI [1.29, 1.46], P < 0.01, I² = 34%; 17 studies, low CoE) compared to speech rehabilitation treatment alone.

Conclusion

The combination of acupuncture and speech rehabilitation training may improve total response rate of stroke patients with dysarthria. However, more RCTs with rigorous study design and validated outcome measures are needed to confirm the evidence.

Dysarthria and stroke. The effectiveness of speech rehabilitation. A systematic review and meta-analysis of the studies

INTRODUCTION

Speech difficulties, such as dysarthria or aphasia, in addition to motor impairments are frequently seen in post-stroke patients.

EVIDENCE ACQUISITION

Literature searches with the keywords: "stroke" and "dysarthria" and "diagnosis" and "stroke" and "dysarthria" and "assessment" were conducted using PubMed, EMBASE, Cochrane Library, and Web of Science databases to perform the systematic review about the methods used to measure the severity of dysarthria in subjects post-stroke. The search was performed by two authors from 15 January to 22 February 2020. The research identified a total of 402 articles for the search using the keywords "stroke" and "dysarthria," and "diagnosis" and 84 references for the search using the keywords "stroke" and "dysarthria" and "assessment." Sixty-nine selected articles were analyzed by the reviewers. Thirty-seven publications met the inclusion criteria and were included in the systematic review. Thirty-two articles were excluded for several reasons: 1) 12 involved individuals with aphasia or other speech problems different from dysarthria; 2) 12 examined different topics from our aim; and 3) eight did not include post-stroke cases.

EVIDENCE SYNTHESIS

The systematic review identified methods for measuring the severity of post-stroke dysarthria. The meta-analysis showed the acoustic parameters affected in dysarthria secondary to stroke and the differences in these parameters after speech therapy.

CONCLUSIONS

The alternating and sequential motion rate (AMR- Pə, AMR-Tə, AMR-Kə, and SMR-PəTəKə) and maximum phonation time were significantly improved after speech rehabilitation.

A feasibility randomized controlled trial of ReaDySpeech for people with dysarthria after stroke

Objective:

To evaluate the feasibility of a multicentre randomized controlled trial of ReaDySpeech, an online speech therapy programme for people with dysarthria.

Design:

Feasibility randomized controlled trial, 2:1 minimization procedure.

Setting:

Four UK NHS services across hospital and community.

Participants:

Forty participants with dysarthria at least one week post-stroke.

Interventions/comparator:

ReaDySpeech with usual care (n = 26) versus usual care only (n = 14).

Main outcomes:

Feasibility measures included the following: recruitment and retention rate, time taken to carry out assessments, success of outcome assessor blinding, fidelity and adherence. Participant baseline and outcome measures collected before and after 8–10 weeks of intervention were the Frenchay Dysarthria Assessment II, Therapy Outcome Measure, Communication Outcomes After Stroke Scale, EQ-5D-5L and Dysarthria Impact Profile.

Results:

Recruited 40 participants out of 74 eligible people, 1–13 weeks post stroke and mean age 69 years (37–99). Retention was very high (92%). Assessor blinding was not achieved with intervention allocation correctly guessed for 70% of participants (26/37). Time to carry out assessments was acceptable to participants. ReaDySpeech was delivered to 16 of 26 allocated participants, who completed 55% of prescribed activities, but both interventions were delivered at low intensity (mean 6.6 face-to-face sessions of 40-minute duration).

Conclusion:

Recruitment and retention in this randomized controlled trial of computerized therapy for dysarthria is feasible for acute stroke. However, further feasibility work is needed to evaluate whether it is possible to recruit chronic stroke; increase intervention delivery, intensity and adherence; achieve outcome assessor blinding by video-recording and to determine sample size for a larger trial of effectiveness.