To know whether android-based speech therapy program can be implemented to train naming difficulties in people with speech-language problems after stroke.
- Conditions
- Health Condition 1: R470- Dysphasia and aphasia
- Registration Number
- CTRI/2020/06/026028
- Lead Sponsor
- Mr Rajath Shenoy
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 6
1.Persons with aphasia or caregivers who have access to smartphone.
2.Aged 18-75 years.
3.Handedness (pre-morbid) – Right.
4.Diagnosis of stroke.
5.Time post-onset of stroke – at least 6 months.
6.Diagnosis of aphasia by a trained speech-language therapist
7.Severity of aphasia: Mild to moderately severe aphasia using Western aphasia battery-Kannada
8.Naming impairment – Based on Boston Naming test - Kannada
9.Readiness to accept the technology.
1.Individuals with severe apraxia and dysarthria
2.Persons with poor visual acuity and visual neglect
3.Currently enrolled for speech-language therapy.
4.Individuals with poor cognitive skills based on Raven’s progressive matrices (Raven, 2000).
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Change in the accuracy of picture naming compared across time points.Timepoint: Two time points: <br/ ><br> <br/ ><br>1. At Pre-post treatment A - 20th session. <br/ ><br> <br/ ><br>2. Every 5th consecutive session (5th,10th,15th) <br/ ><br> <br/ ><br>3. Pre-post treatment B-20session.
- Secondary Outcome Measures
Name Time Method Pre-post standardized measure using Western aphasia battery, Boston naming test-kannada. <br/ ><br>Quality of life will be compared across baselines except on probe sessions. <br/ ><br>Timepoint: Pre-Post