- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05563818
Using Speech to Monitor Symptom Severity in Arabic Speaking Patients With Schizophrenia
Monitoring Symptoms Severity in Arabic Speaking Schizophrenic Patients Using Mobile Phone Speech Analysis: A Proof-of-Concept Study
Brief Summary:
Definition: A short description of the clinical study, including a brief statement of the clinical study's hypothesis, written in language intended for the lay public.
Limit: 5000 characters. The purpose of this study is to investigate the relationship between speech features and severity of positive and negative clinical symptoms in Arabic speaking patients with schizophrenia. Individuals will be invited to participate in this study because (1) they have a confirmed clinical diagnosis of schizophrenia; (2) they plan to receive routine clinical care for schizophrenia at one of the four participating sites; (3) they speak Arabic as a first language.
Participants must be between the ages of 18-65 years. Participation will involve seven visits consisting of one baseline visit and six monthly follow-up visits. All participants will continue to receive routine clinical care.
Participation in this research will involve providing speech samples using standardized tasks collected using an electronic device. Additionally, study team members will assess positive and negative symptoms of schizophrenia using validated questionnaires.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Speech disorganization is a key feature of schizophrenia. The development of computerized tools to assess speech disorganization is rapidly growing in schizophrenia research. Several early studies showed that changes in speech distinguish schizophrenia patients from healthy controls and assist in differential diagnostics and relapse prevention (1). The Winterlight app can be used for speech collection and assessment and uses speech-based artificial intelligence to identify vocal biomarkers capable of detecting changes in cognitive/clinical symptoms.
Symptom rating scales remain the primary mode of assessing the nature and severity of schizophrenia and the magnitude of any change over time. The Positive and Negative Symptom Scale (PANSS) is a 30-item rating scale that was developed to measure the symptom severity of patients with schizophrenia and assess their dimensions (2). It has been widely used in clinical trials of schizophrenia and is considered as the "gold standard" for the assessment of antipsychotic treatment efficacy.
The goal of this study is to test the hypothesis that quantitative measures derived from speech samples acquired using the Winterlight application will be associated with positive and negative symptom subscores as assessed by the PANSS.
The investigators will use speech-based artificial intelligence methods to identify aspects of voice and language that are related to schizophrenia symptoms in Arabic-speaking patients.
Data collected may be used to evaluate:
- The relationship between speech measures and PANSS subscores at baseline.
- The relationship between changes in speech measures and changes in positive symptoms over time.
- The relationship between changes in speech measures and changes in negative symptoms over time.
- The ability for speech measures to be used to predict psychotic relapse in individuals with schizophrenia.
- The feasibility of predicting relapse based on speech and sociodemographic variables.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Contact
- Name: Ruba Jaber
- Phone Number: 11663 009625805430
- Email: rjaber@hikma.com
Study Contact Backup
- Name: Amal Al-Tabba
- Phone Number: 11661 009625805430
- Email: aaltabba@hikma.com
Study Locations
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Algiers, Algeria
- Mustapha University Hospital
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Cairo, Egypt
- Ain Shams Hospital
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Amman, Jordan
- Mental Health Hub
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Jeddah, Saudi Arabia
- Jeddah Psychiatry Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Aged 18 - 65 years
- Confirmed clinical diagnosis of schizophrenia as per the DSM-5 criteria, at any stage of disease.
- Planned to receive routine clinical care for schizophrenia in the study site for the next 6 months.
- Arabic is first language
Exclusion Criteria:
- Illiterate.
- Catatonic schizophrenia subtype.
- Neurological disorder or major health problem.
- Severe substance use disorder using DSM-5 criteria.
- Risk to self or others.
- Patient with any speech disorder or treated/planned to be treated with any medication known to impact speech (e.g. first-generation antipsychotics)
- Patient or family member is unable to provide consent to participate in the study.
- Participation in another clinical study.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Arabic-speaking individuals with schizophrenia
Approximately 56-60 Arabic-speaking individuals with a DSM-5 diagnosis of schizophrenia
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N/A- observational study
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Speech features derived from the Winterlight Assessment (WLA).
Time Frame: up to month 6
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Acoustic and linguistic measures of speech acquired using the Winterlight Application
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up to month 6
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Positive and Negative Syndrome Scale (PANSS) including total score, positive subscore, negative subscore and psychopathology subscore.
Time Frame: up to month 6
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30-item clinical scale to assess positive and negative symptoms severity in people with schizophrenia.
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up to month 6
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in speech features derived from the Winterlight Assessment (WLA).
Time Frame: Change from baseline to month 6
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Baseline to endpoint (6 month) change on acoustic and linguistic measures of speech computed based on the WLA.
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Change from baseline to month 6
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Change in Positive and Negative Syndrome Scale (PANSS) including total score, positive subscore, negative subscore and psychopathology subscore. score measured by the PANSS positive sub-score
Time Frame: Change from baseline to month 6
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Baseline to endpoint (6 month) change on 30-item clinical scale to assess positive and negative symptoms severity in people with schizophrenia
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Change from baseline to month 6
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Incidence of psychotic relapse
Time Frame: Change from baseline to month 6
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Psychotic relapse is defined as: hospitalization, suicidal/homicidal ideation, violent behavior, a 25% increase in the PANSS total score, or a significant increase in at least one of several pre-specified PANSS items.
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Change from baseline to month 6
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Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
General Publications
- Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;13(2):261-76. doi: 10.1093/schbul/13.2.261.
- de Boer JN, Brederoo SG, Voppel AE, Sommer IEC. Anomalies in language as a biomarker for schizophrenia. Curr Opin Psychiatry. 2020 May;33(3):212-218. doi: 10.1097/YCO.0000000000000595.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- HIK-WL-SCZ-2021-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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