Scaling Mental Healthcare in COVID-19 With Voice Biomarkers
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ClinicalTrials.gov Identifier: NCT04510519 |
Recruitment Status :
Not yet recruiting
First Posted : August 12, 2020
Last Update Posted : August 13, 2020
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Condition or disease |
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Major Depressive Disorder Generalized Anxiety |
The anticipated impact of this study is defining voice biomarker features and reward functions for a deep reinforcement learning based system from group interactions that improve depression and anxiety outcomes. The investigators' ability to quantify the real-time impact of human-intervention in scaled group video sessions can be very meaningful for creating best practices in the area where measurement is infrequent.
The investigators' priority is to scale the optimal mix of individuals for group therapy sessions based on reward functions that maximize improvements in depression and anxiety scores. Current group therapy appointments may track little save few who use various group feedback questionnaires (e.g. OQ, GCQ, or GQ). Voice biomarkers can play a key role in the real-time measurement of mental health.
The proposed work is to conduct a feasibility study on creating reward functions that most effectively enable engagement for group sessions as measured by voice biomarkers before, during, and after group video meetings.
Study Type : | Observational |
Estimated Enrollment : | 50 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
Official Title: | Scaling Mental Healthcare in COVID-19 With Voice Biomarkers: An Observational Study |
Estimated Study Start Date : | September 1, 2020 |
Estimated Primary Completion Date : | June 30, 2021 |
Estimated Study Completion Date : | June 30, 2021 |

- Patient Health Questionnaire (PHQ-9) [ Time Frame: March 30, 2021 ]A repeated measures, within-subject design using exploratory techniques will identify the best group session features or combination of features that correlate with or predict change on the PHQ-9.
- Generalized Anxiety Disorder (GAD-7) [ Time Frame: June 20, 2021 ]A repeated measures, within-subject design using exploratory techniques will identify the best group session features or combination of features that correlate with or predict change on the GAD-7.

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Ages Eligible for Study: | 18 Years to 100 Years (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- Ownership of a personal iPhone (version iOS 12.0 or later) and willingness to install and maintain the Kintsugi app for remote participation throughout the study duration
- Able to understand and comply with instructions in English
Exclusion Criteria:
- Has any other clinically significant medical condition or circumstance that, in the opinion of the Investigator, could affect patient safety, preclude evaluation of response, interfere with the ability to comply with study procedures, or prohibit completion of the study
- Has a visual or physical motor impairment that could interfere with study tasks
- Is site personnel directly affiliated with this study
Responsible Party: | Kintsugi Mindful Wellness, Inc. |
ClinicalTrials.gov Identifier: | NCT04510519 |
Other Study ID Numbers: |
COV-1 |
First Posted: | August 12, 2020 Key Record Dates |
Last Update Posted: | August 13, 2020 |
Last Verified: | August 2020 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Depressive Disorder Depressive Disorder, Major Mood Disorders Mental Disorders |