Interaction in Digital Depression Therapies: A Systematic Review of Treatment Approaches

Ting Huang, Wei Liu*

*Corresponding author for this work

Research output: Working paper/PreprintPreprint

Abstract

Digital interventions for depression are increasingly recognised as scalable treatment options, yet the selection of optimal interaction modalities and content remains challenging. This study systematically examines current digital therapeutic approaches, identifying nine interaction modalities (e.g., Mobile Apps, Online Therapy Platforms) and nine content types (e.g., Structured Information Interaction, Multimodal Instructional Interaction), each with distinct advantages and limitations. To address these challenges, a structured Digital Intervention Decision-Making (DIDM) model is proposed, integrating clinical evidence, patient characteristics, and practical considerations to guide treatment selection. The DIDM framework supports clinicians in matching interaction formats and therapeutic content to individual needs, enhancing personalisation and treatment efficacy. Future research should validate the model’s applicability across diverse populations and emerging technologies.
Original languageEnglish
DOIs
Publication statusPublished - 23 Apr 2025

Publication series

NameIJHCS-D-25-00610

Keywords

  • digital mental health
  • depression interventions
  • interaction modalities
  • personalised treatment
  • decision-making framework

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