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Clinical Trial 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.


Clinical Trial 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. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05417178
Study type Observational
Source Teladoc Health
Contact Jessica Yu, PhD
Phone 650-804-8434
Email jessica.yu@teladochealth.com
Status Recruiting
Phase
Start date May 1, 2022
Completion date March 31, 2023

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