Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans.

ABSTRACT:

Background

Although research shows that more depressed patients respond to combined antidepressants (ADM) and psychotherapy than either alone, many patients do not respond even to combined treatment. A reliable prediction model for this could help treatment decision-making. We attempted to create such a model using machine learning methods among patients in the US Veterans Health Administration (VHA).

Methods

A 2018-2020 national sample of VHA patients beginning combined depression treatment completed self-report assessments at baseline and 3 months (n = 658). A learning model was developed using baseline self-report, administrative, and geospatial data to predict 3-month treatment response defined by reductions in the Quick Inventory of Depression Symptomatology Self-Report

SUBMITTER: Bossarte RM 

PROVIDER: S-EPMC9975041 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature