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.
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.