Personalized prescriptions of therapeutic skills from patient characteristics: An ecological momentary assessment approach.

ABSTRACT:

Objective

Rather than relying on a single psychotherapeutic orientation, most clinicians draw from a range of therapeutic approaches to treat their clients. To date, no data-driven approach exists for personalized predictions of which skill domain would be most therapeutically beneficial for a given patient. The present study combined ecological momentary assessment (EMA) and machine learning to test a data-driven approach for predicting patient-specific skill-outcome associations.

Method

Fifty (M_age = 37 years old, 54% female, 84% White) adults received training in behavioral therapy (BT) and dialectical behavior therapy (DBT) skills within a behavioral health partial hospital program (PHP). Following discharge, patients received four EMA surveys per day f

SUBMITTER: Webb CA 

PROVIDER: S-EPMC8497649 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature