PAG-Macro: Validation of myStrength's Macropersonalization Engine
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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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.
Study Design
Outcome Measures
Primary Outcome Measures
- 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
Eligibility Criteria
Criteria
Inclusion Criteria:
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Aged 18 to 85, inclusive
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Able to read, write, and speak in English
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Has access to the Internet to complete study procedures
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Currently engaged in therapy or has schedule an initial appointment with the Pacific Anxiety Group
Exclusion Criteria:
- None
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Pacific Anxiety Group | Menlo Park | California | United States | 94025 |
Sponsors and Collaborators
- Teladoc Health
Investigators
- Study Director: Bobbie James, MStat, Teladoc Health
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- PAG_Macro 2022