Open AccessPersonalized prescriptions of therapeutic skills from patient characteristics: An ecological momentary assessment approach.
Author(s) -
Christian A. Webb,
Marie Forgeard,
E. Israel,
Nathaniel Lovell-Smith,
Courtney Beard,
Thröstur Björgvinsson
Publication year - 2022
Publication title -
journal of consulting and clinical psychology
Language(s) - English
Resource type - Journals
eISSN - 1939-2117
pISSN - 0022-006X
DOI - 10.1037/ccp0000555
Subject(s) - psychology , mood , clinical psychology , anxiety , social skills , medical prescription , medicine , psychiatry , pharmacology
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.