NCT03700008|Completed
Content-free Speech Analysis for Measurement of Mental Health
Development of a Digital Content-free Speech Analysis for the Measurement of Mental Health and Follow-up of Mental Disorders
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Development of a Digital Content-free Speech Analysis for the Measurement of Mental Health and Follow-up of Mental Disorders
Sponsor study identifier
interventional
210
1 country
1
Study Start
October 15, 2018
Actual (reported)Primary Completion
October 31, 2020
Actual (reported)Study Completion
December 30, 2020
Actual (reported)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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 30, 2020
Actual (reported)Click on a node to explore related trials.
Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
October 4, 2018
Actual (reported)October 9, 2018
Actual (reported)October 15, 2018
Actual (reported)October 31, 2020
Actual (reported)December 30, 2020
Actual (reported)Global scores of Symptom-Checklist 90 (SCL-90)
The SCL-90 evaluates the psychological distress during the past seven days using nine scales for primary symptom dimensions and three scores among global distress indices. The basic psychological distress is determined by the GSI (Global Severity Index), the intensity of the responses by the PSDI (Positive Symptom Distress Index) and by the PST (Positive Symptom Total). The global scales provide an overview of the severity of the psychological distress. The scores ranged from 0.0 to 2.9 (GSI), 0-90 (PSI) and 0.0-2.9 (PSDI), all were calculated in T-values, so no cut-off but reliable T-values are published.
score at the date of start of participation (day 1)
Global score of depression measured with the "Patients-Health-Questionnaire 9" (PHQ9)
score at the date of start of participation (day 1)
Global score of anxiety, measured with the "Generalized Anxiety Disorder 7" GAD-7
score at the date of start of participation (day 1)
Personality disorders and states, measured with the Big five personality test (B5T)
score at the date of start of participation (day 1)
Visuel analogue scale Attention-Deficit-Hyperactivity-Disorder (ADHD-VAS)
score at the date of start of participation ("day 1")
Changes of global scores of Symptom-Checklist 90 (SCL-90)
scores an average 5 weeks after day 1 and changes compared to scores at day 1
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.
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.
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.
Using well known and validated psychological measurements to identify the mental state of the participants.
Neuropsychiatric Center of Hamburg
Hamburg, 22769, Germany
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.
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.
Peter Tonn, MD
Director
210 participants (actual enrollment reported by the registry).
First Submitted
October 4, 2018
First Posted
October 9, 2018
The Effectiveness of a Recovery Program for People With Mental Illness.
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
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Study Start
October 15, 2018
Actual (reported)Primary Completion
October 31, 2020
Actual (reported)Study Completion
December 30, 2020
Actual (reported)Last Updated
August 20, 2021
Record last verified: 2021-08
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Source: ClinicalTrials.gov.
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