APS

APS Virtual Poster Showcase · 2020

Six Measures of Adherence to an Online Intervention Differentially Predict Symptom Improvement

Virtual · June 2020

Poster Sessions · Clinical Science

  • Maria Hanano
    University of California, Los Angeles

Abstract

Existent literature provides little guidance for defining and measuring treatment engagement in online interventions. This study aimed to explore the utility of various types of engagement for predicting changes in clinical outcomes. Results indicated minimal and moderate levels of behavioral and attitudinal engagement significantly predicted depression and anxiety symptom change.

Depression