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

Christian A. Webb | Zendy; Marie Forgeard | Zendy; E. Israel | Zendy; Nathaniel Lovell-Smith | Zendy; Courtney Beard | Zendy; Þröstur Björgvinsson | Zendy

Open Access

Personalized 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,

Þröstur Björgvinsson

Publication year - 2021

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 , medical prescription , social skills , 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.

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