Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression.

ABSTRACT:

Background

Web-based interventions for individuals with depressive disorders have been a recent focus of research and may be an effective adjunct to face-to-face psychotherapy or pharmacological treatment.

Objective

The aim of our study was to examine the early change patterns in Web-based interventions to identify differential effects.

Methods

We applied piecewise growth mixture modeling (PGMM) to identify different latent classes of early change in individuals with mild-to-moderate depression (n=409) who underwent a CBT-based web intervention for depression.

Results

Overall, three latent classes were identified (N=409): Two early response classes (n=158, n=185) and one early deterioration class (n=66). Latent classes differed in terms of outcome (P<.001) and

SUBMITTER: Lutz W 

PROVIDER: S-EPMC5482926 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature