Depression, Anxiety, Trauma
Conditions
Keywords
Sleep, Digital Therapy
Brief 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.
Interventions
OTHERmyStrength 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.
Sponsors
Teladoc Health
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No
Inclusion criteria
* Aged 18 to 85, inclusive * Able to read, write, and speak in English * Has access to the Internet to complete study procedures * Currently engaged in therapy or has schedule an initial appointment with the Pacific Anxiety Group
Exclusion criteria
* None
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Inter-rater reliability on primary focus area | Upon completion of initial assessments by subject and clinician within 30 days of signing informed consent. | Inter-rater reliability between myStrength macropersonalization engine and expert clinical recommendation for an individual's primary focus |
Countries
United States
Contacts
Primary ContactJessica Yu, PhD
Backup ContactSravanthi Dama, MD, MPH
Outcome results
None listed