Trials / Unknown
UnknownNCT05417178
Validation of myStrength's Macropersonalization Engine
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- Teladoc Health · Industry
- Sex
- All
- Age
- 18 Years – 85 Years
- Healthy volunteers
- Not accepted
Summary
This is a study to validate myStrength's macropersonalization algorithm. Specifically, the study seeks to answer: Does myStrength's macropersonalization algorithm match what a clinician would offer as a diagnosis following an expert assessment? Participants will be treatment-seeking adults, ages 18 to 65, recruited from an evidence-based group psychotherapy practice. Participants will be asked to complete myStrength onboarding and a clinician-conducted initial assessment. Inter-rater reliability will be assessed to determine the consistency between myStrength and clinician in primary focus area of digital program.
Detailed description
Rationale and Background: Macropersonalization refers to the rules applied to a member's onboarding data that dictate their primary clinical focus and available interventions that will be recommended. Macropersonalization is a new myStrength feature that is meant to enable myStrength's ability to deliver evidence-based stepped care. Research Questions: To examine the inter-rater reliability between myStrength's macropersonalization engine and expert clinical recommendations for members' primary clinical focus. Study Design: This is a one-arm, prospective study. Population: Study participants will be adults, ages 18 to 65, seeking therapy at an evidence-based psychotherapy group practice. Data Sources: Anticipated data sources include members myStrength onboarding data, macropersonalization outputs, and clinician-administered clinical assessments. Data Analysis: A Cohen's kappa will be generated for agreement between myStrength macro-personalization primary focus area and clinician diagnosis to fulfill the primary objective. Conditional kappas based on stratification, as well as a logistic regression, will be used to determine whether demographics or treatment history are associated with concordance, and qualitative analyes will be used to describe sub-clinical or secondary focus areas associated with clinician diagnoses.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | myStrength Macropersonalization Enginge | An onboarding process that utilizes the PHQ-9, GAD-7, and WHO-5 that leads to a user of the digital program's clinical focus and primary, secondary, and tertiary intervention recommendations. |
Timeline
- Start date
- 2022-05-01
- Primary completion
- 2022-12-31
- Completion
- 2023-03-31
- First posted
- 2022-06-14
- Last updated
- 2022-06-14
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT05417178. Inclusion in this directory is not an endorsement.