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Trial registered on ANZCTR
Registration number
ACTRN12623000219684p
Ethics application status
Not yet submitted
Date submitted
13/02/2023
Date registered
2/03/2023
Date last updated
15/10/2023
Date data sharing statement initially provided
2/03/2023
Type of registration
Prospectively registered
Titles & IDs
Public title
The use of a voice recording app for diagnosis of Parkinson's disease for people living in rural and remote communities. A comparative study between people with early to mid-stage Parkinson's disease and age-matched healthy volunteers.
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Scientific title
A comparative clinical study of a voice recording app for the diagnosis of Parkinson's disease for people living in rural and remote communities. A comparative study between people with early to mid-stage Parkinson's disease and age-matched healthy volunteers.
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Secondary ID [1]
308491
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Nil known
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Parkinson's disease
328301
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Condition category
Condition code
Neurological
325351
325351
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0
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Parkinson's disease
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
Participants are requested to repeat sounds which are recorded on a mobile device (Tablet). Voice sounds include the voicing of the letters "oooooo" "mmmmm", "aaaaaa" "pppppp". The duration of the experiment is less than 5 minutes. The participant's recorded voice sounds are immediately saved electronically along with their #ID and sent directly to RMIT for secure storage and analysis.
Data collection sessions for participants diagnosed with Parkinson's disease will be conducted face-to-face from the participating Neurology clinic in Dandenong as well as Goulburn Valley Health (GVH), Shepparton, Victoria.
All experiments are conducted by the researchers from the School of Engineering, RMIT University or by a Movement disorders Nurse at GVH.
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Intervention code [1]
324935
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Early Detection / Screening
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Intervention code [2]
324936
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Diagnosis / Prognosis
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Comparator / control treatment
Voice recordings of healthy age-matched controls.
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Control group
Active
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Outcomes
Primary outcome [1]
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Analysis of the dynamics of the voice using 2 parameters of measurement in combination - amplitude, and frequency assessed using the app recordings.
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Assessment method [1]
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Timepoint [1]
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Assessed after a single session
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Secondary outcome [1]
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Nil
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Assessment method [1]
416198
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Timepoint [1]
416198
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Nil
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Eligibility
Key inclusion criteria
1.People diagnosed with Parkinson's disease, as evidenced by Unified Parkinson's disease Rating Scale (UPDRS) scores consistent with minimal to moderate disease
2.Healthy age-matched controls
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
For Parkinson''s disease participants - diagnosed with other neurodegenerative diseases or stroke
For healthy controls - diagnosis of any neurodegenerative disease or stroke
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Study design
Purpose
Screening
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Duration
Cross-sectional
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
Sample size is calculated using a large effect size of 0.8 based on previous studies reported in a systematic review reported by our team (1.).
Statistical methods used for evaluation will be based on group differences (Independent-samples-t test / MANOVA or non parametric equivalent as required).
1.Ngo, Q.C., Motin, M.A., Pah, N.D., Drotár, P., Kempster, P. and Kumar, D., 2022. Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Computer Methods and Programs in Biomedicine, p.107133.)
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
13/11/2023
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Actual
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Date of last participant enrolment
Anticipated
20/11/2026
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Actual
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Date of last data collection
Anticipated
20/11/2026
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Actual
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Sample size
Target
60
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
VIC
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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RMIT University
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Address [1]
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GPO Box 2476, Melbourne VIC 3001 Australia
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Country [1]
312733
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Australia
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Primary sponsor type
University
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Name
RMIT University
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Address
RMIT University, GPO Box 2476, Melbourne VIC 3001 Australia
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Country
Australia
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Secondary sponsor category [1]
314352
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None
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Name [1]
314352
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Nil
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Address [1]
314352
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Nil
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Country [1]
314352
0
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Ethics approval
Ethics application status
Not yet submitted
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Ethics committee name [1]
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RMIT HREC
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Ethics committee address [1]
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GPO Box 2476, Melbourne VIC 3001 Australia
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Ethics committee country [1]
312029
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Australia
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Date submitted for ethics approval [1]
312029
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11/10/2023
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Approval date [1]
312029
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Ethics approval number [1]
312029
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Summary
Brief summary
Speech impairment is an early sign of Parkinson’s disease. Analysis of features of voice may be used as a diagnostic tool for the detection of Parkinson’s disease and in the assessment of its severity. In addition, people living in rural and remote communities often have difficulties in accessing specialist physicians for both diagnosis and continued assessment of Parkinson’s disease. The ultimate aim of this work is to develop an automated diagnostic tool for the assessment of speech impairments associated with Parkinson’s disease that may be used remotely. Patients will be able to record their voice on their personal device. Voice recordings will be analysed and the recorded voice and analysis sent to the specialist physician. The aim of this study is to ascertain features of the voice that are most useful in identifying differences in voice features between Parkinson’s disease patients and healthy age-matched controls using a mobile device. The hypothesis is that Parkinson’s disease patients will exhibit significantly different voice features compared with healthy age-matched controls.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Dinesh Kumar
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Address
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RMIT University
GPO Box 2476, Melbourne VIC 3001 Australia
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Country
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Australia
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Phone
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+61 399251954
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
123235
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Dinesh Kumar
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Address
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RMIT University
GPO Box 2476, Melbourne VIC 3001 Australia
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Country
123235
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Australia
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Phone
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+61 399251954
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Fax
123235
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Email
123235
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[email protected]
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Contact person for scientific queries
Name
123236
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Dinesh Kumar
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Address
123236
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RMIT University
GPO Box 2476, Melbourne VIC 3001 Australia
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Country
123236
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Australia
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Phone
123236
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+61 399251954
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Fax
123236
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Email
123236
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
Saved data will not be identifiable except for participant grouping (healthy or Parkinson's disease)
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
18266
Study protocol
Directly from researchers conducting the study
18267
Informed consent form
Directly from researchers conducting the study
18268
Ethical approval
Directly from researchers conducting the study
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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