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Clairity in a University Mental Health Clinic

Feasibility and Effectiveness of the Clairity Tool in a University Mental Health Clinic

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05513963
Acronym
FECU
Enrollment
100
Registered
2022-08-24
Start date
2021-11-04
Completion date
2023-11-03
Last updated
2022-08-26

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

Conditions

Anxiety, Depression, Mental Health Issue, Suicide

Brief summary

This is a clinical trial to evaluate the effectiveness of the Clairity tool within the university setting for students who are being seen by a mental health provider.

Detailed description

In this study, the investigators plan to evaluate the effect of the Clairity process in a university setting. The Clairity process will be implemented as a 15-20 minute between-the-visit mental health check-in between a patient and clinical staff. Clairity will record and analyze patient speech using artificial intelligence algorithms developed for early detection and monitoring of mental health and suicidal risk. This study will be the first to return Clairity results real time to the clinician. The study employs a mixed-methods design, using rolling recruitment of clients of the Xavier University Psychological services clinic (XUPS) during the 2022-2023 school year. Study-trained clinical research coordinators will begin enrolling participants after completing the online protocol training and brief human subject's protection training.

Interventions

BEHAVIORALClairity

Treatment group participants will complete study session using the Clairity tool in between regularly scheduled therapy visits.

Sponsors

Xavier University of Louisiana.
CollaboratorOTHER
Clarigent Health
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Intervention model description

Randomized-Control Trial

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 18 years old * Currently a client receiving services from XUPS * Able to provide informed consent * Speaks and understands English fluently * Willing to abide by all research procedures

Exclusion criteria

* Participants with communication disorders (linguistic or articulation) or who cannot articulate clearly in English. * Participants with an intellectual and/or neurocognitive disability that the study staff deems a barrier to participation. * 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. * Any participant, who at the discretion of the study staff, should not be enrolled.

Design outcomes

Primary

MeasureTime frameDescription
Clairity Dashboard12 monthA clinical dashboard (Clairity) where consolidated results of standardized instruments and language-based machine learning models can more fully inform and expedite the clinical decision-making process. This type of dashboard can provide the clinician a time-based snapshot of the current mental state of the client and can inform the clinician of whether treatment methods are making an impact. The addition of an unbiased, innovative measure derived from vocal biomarkers may bring objectivity to the current methods. Multiple data points for a client's session displayed in the Clairity dashboard will support the clinician's ability to reliably monitor clients' progress and make more informed and reliable clinical decisions.
Identify Mental States with Area Under the AUC metric12 monthThe area under the receiver operating characteristic (AUC) metric is popular when evaluating machine learning models because it does not impose arbitrary thresholds for classification, as is required for other metrics, such as sensitivity and specificity. An AUC of 0.5 is a model that predicts as well as random chance, and an AUC of 1.0 is a perfect model. In the social sciences, an AUC ≥ 0.8 is considered excellent. An AUC ≥ 0.8 for suicidal risk and depression will be the target. To meet this target with tolerances for type I (α) and type II (β) errors at 0.01 and 0.95 respectively, and an allocation ratio of 1 (number of controls/number of cases), a sample size analysis determines 25 cases and 25 controls for each condition. While many of the conditions of interest exist as comorbidities, historical data at the XUPS clinic supports a sample of 50 clients measured over four interactions will meet the required case-control numbers for each condition.
Outcome Measure Comparison12 monthTo measure the potential impact of the Clairity process, clients will complete their treatment as usual, which includes the Outcome Questionnaire-45 (OQ-45) prior to therapy sessions. The OQ-45 is a quantitative self-report inventory used to assess therapy progress. A repeated measures ANOVA will be used to compare scores on the OQ-45 for control and treatment participants enrolled in the study over an eight-week treatment period. Additionally, changes to treatment plans and therapy attendance between the two groups will be examined.
Clinical Utility Treatment Outcomes12 monthAdditional mental health data collected through Clairity, delivered via a dashboard, will provide value to clinicians that may influence therapy, such as altering treatment plans or creating safety plans. Qualitative survey data will be collected to understand how clinicians use and value this information. An evaluation of the change in clients' scores over time on the Outcome Questionnaire-45 for those in the control and treatment groups will also occur. This will allow the investigators to estimate the effect, if any, the Clairity process has on clients' mental health.

Countries

United States

Outcome results

None listed

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