Content-free Speech Analysis for Measurement of Mental Health

NCT ID: NCT03700008

Last Updated: 2021-08-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

210 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-10-15

Study Completion Date

2020-12-30

Brief Summary

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Trial to prove the functionality and efficacy of a content-free speech analysis tool to detect problematic mental health status or phases of patients with pre known or unknown mental health disorders, focussed on affective disorders or neurodevelopmental disorders. The participants talk in free speech to the tool, this will be analyzed content-free and compared with psychological instruments to detect the mental status in conventional way.

Detailed Description

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Participants with and without pre known mental disorders will be recruited and analyzed with speech analysis and conventional psychological instruments, as primary measurement the SCL-90-Scale, as secondary instruments the PRIME-MD (explicit in use the PHQ-9 for depressive symptoms and the GAD-7 for anxiety), B5T and an ADHD-VAS-Score (t0). Then the investigators check the status of the participants later at t1 (4-6 weeks after t0) and t2 (4-6 weeks after t1).

The speech measuring instruments is the "VoiceSense" digital voice analysis tool, which enables the analysis of 200 specific speech parameters and the assessment of the findings through the use of psychometric instruments and questionnaires.

The hypothesis is that the data of the voicesense analysis tool compared to the psychological instruments provide a good match and the voicesense technique can be used as a predictive and course-description tool in mental illness.

Conditions

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Mental Disorder Conditions Influencing Health Status

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Two randomized groups of participants, blinded to rater in relation of the diagnosis of the individual proband.
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Outcome Assessors
The outcome-assessor or rater did not know which diagnosis the participant has and the participant is informed about the diagnosis after the diagnostic procedure from a physician/ psychotherapist not involved in the study.

Study Groups

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Participants with mental illness

Participant with pre known or actually diagnosed mental disorder, especially affective or neurodevelopmental disorder.

Using the speech analysis tool with 120 seconds of free speech, measure the mental state with SCL-90, PRIME-MD, B5T, ADHD-VAS as conventional psychological measurements.

Group Type OTHER

Speech analysis tool

Intervention Type DIAGNOSTIC_TEST

Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.

Conventional psychological measurements

Intervention Type DIAGNOSTIC_TEST

Using well known and validated psychological measurements to identify the mental state of the participants.

Participants without any mental illness

Participant with never diagnosed mental disorder, in a healthy mental state. Using the speech analysis tool with 120 seconds of free speech, measure the mental state with SCL-90, PRIME-MD, B5T, ADHD-VAS as conventional psychological measurements.

Group Type OTHER

Speech analysis tool

Intervention Type DIAGNOSTIC_TEST

Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.

Conventional psychological measurements

Intervention Type DIAGNOSTIC_TEST

Using well known and validated psychological measurements to identify the mental state of the participants.

Interventions

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Speech analysis tool

Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.

Intervention Type DIAGNOSTIC_TEST

Conventional psychological measurements

Using well known and validated psychological measurements to identify the mental state of the participants.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* being regular outpatient with mental disorder (verum group)
* being voluntary participant without mental disorder (control group)
* native german language speakers
* in good general health (absence of cancer, acute myocardial infarction, unstable angina, severe cardiac arrhythmia, recent cerebrovascular incident, or severe atherosclerosis)

Exclusion Criteria

* schizophrenia
* dementia
* pregnancy or breastfeeding
* current or recent (less than 1 year) history of alcohol and/or drug abuse
* current or recent (less than 1 year) history of suicide attempts
* other significant comorbidities according to the Investigator's clinical assessment (for example, cancer, acute myocardial infarction, unstable angina, severe cardiac arrhythmia, recent cerebrovascular incident, or severe atherosclerosis.
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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VoiceSense Ltd. Herzelba, Israel

UNKNOWN

Sponsor Role collaborator

Neuropsychiatrischen Zentrums Hamburg-Altona

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Peter Tonn, MD

Role: PRINCIPAL_INVESTIGATOR

Director

Locations

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Neuropsychiatric Center of Hamburg

Hamburg, , Germany

Site Status

Countries

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Germany

References

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Tonn P, Seule L, Degani Y, Herzinger S, Klein A, Schulze N. Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study. JMIR Form Res. 2022 Aug 30;6(8):e37061. doi: 10.2196/37061.

Reference Type DERIVED
PMID: 36040767 (View on PubMed)

Tonn P, Degani Y, Hershko S, Klein A, Seule L, Schulze N. Development of a Digital Content-Free Speech Analysis Tool for the Measurement of Mental Health and Follow-Up for Mental Disorders: Protocol for a Case-Control Study. JMIR Res Protoc. 2020 May 14;9(5):e13852. doi: 10.2196/13852.

Reference Type DERIVED
PMID: 32406862 (View on PubMed)

Other Identifiers

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TONN_2018_01

Identifier Type: -

Identifier Source: org_study_id

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