Skip to content

CAMPUS Expanded Classification and Assessment of Mental Health Performance Using Semantics Expanded

CAMPUS Expanded Classification and Assessment of Mental Health Performance Using Semantics Expanded

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04493736
Acronym
CAMPUS-E
Enrollment
2000
Registered
2020-07-30
Start date
2020-06-01
Completion date
2024-09-01
Last updated
2024-02-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aggression, Anxiety, Depression, Suicidal, Suicidal Ideation, Suicide, Suicide, Attempted, Trauma, Psychological

Brief summary

Open enrollment study to collect data for the optimization of machine learning models for use in an app for the early detection of mental health and suicidal risk.

Interventions

BEHAVIORALMHSAFE app recording

Participants are asked a series of questions to elicit their feelings and emotions as part of an audio recorded interview along with their normal therapy session.

Sponsors

Clarigent Health
Lead SponsorINDUSTRY

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
8 Years to 75 Years

Inclusion criteria

* Currently a client receiving services from a MHP at a school or outpatient setting, or at a college/university counseling center * Age ≥ 8 years old * Able to provide informed consent, parental permission or assent * English as a primary language

Exclusion criteria

* Participants with communication disorders (linguistic or articulation) * Any minor participants for whom parental or legal guardian consent cannot be obtained. * Any adult participant for whom Legal Authorized Representative (LAR) consent cannot be obtained. * History of any other serious medical or psychiatric condition that would interfere with the ability of the patient to complete the study or would make it ethically unfeasible to enroll them * Participants with an intellectual and / or neurocognitive disability that the MHP deems a barrier to participation * Any participant, who at the discretion of the MHP, should not be enrolled

Design outcomes

Primary

MeasureTime frameDescription
Detection of Mental Health State1 yearOptimize machine learning models will detect the presence of a mental state as evidenced by scores on standardized tests and clinical assessment.

Secondary

MeasureTime frameDescription
Demonstrate the Usability of the platform1 yearDemonstrate the usability of the MHSAFE recording platform and the dashboard output in different settings, including outpatient community mental health settings, schools (K-12), colleges/universities, and residential mental health facilities.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026