Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning.

ABSTRACT:

Importance

Compared with the treatment of physical conditions, the quality of care of mental health disorders remains poor and the rate of improvement in treatment is slow, a primary reason being the lack of objective and systematic methods for measuring the delivery of psychotherapy.

Objective

To use a deep learning model applied to a large-scale clinical data set of cognitive behavioral therapy (CBT) session transcripts to generate a quantifiable measure of treatment delivered and to determine the association between the quantity of each aspect of therapy delivered and clinical outcomes.

Design, setting, and participants

All data were obtained from patients receiving internet-enabled CBT for the treatment of a mental health disorder between June 2012 and March 2018

SUBMITTER: Ewbank MP 

PROVIDER: S-EPMC6707006 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature