Predictors of treatment dropout in patients with posttraumatic stress disorder due to childhood abuse.

ABSTRACT:

Background

Knowledge about patient characteristics predicting treatment dropout for post-traumatic stress disorder (PTSD) is scarce, whereas more understanding about this topic may give direction to address this important issue.

Method

Data were obtained from a randomized controlled trial in which a phase-based treatment condition (Eye Movement Desensitization and Reprocessing [EMDR] therapy preceded by Skills Training in Affect and Interpersonal Regulation [STAIR]; n = 57) was compared with a direct trauma-focused treatment (EMDR therapy only; n = 64) in people with a PTSD due to childhood abuse. All pre-treatment variables included in the trial were examined as possible predictors for dropout using machine learning techniques.

Results

For the dropout p

SUBMITTER: Bremer-Hoeve S 

PROVIDER: S-EPMC10436563 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature