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Adherence predictors in an Internet-based Intervention program for depression.

Adoración Castro1,2, Yolanda López-Del-Hoyo2,3, Christian Peake4

  • 1a IUNICS-IDISBA , University of Balearic Islands , Palma de Mallorca , Spain.

Cognitive Behaviour Therapy
|September 6, 2017
PubMed
Summary
This summary is machine-generated.

Predictors of adherence in internet-delivered psychotherapy for depression vary by intervention type. Age influences adherence in both self-guided and therapist-supported groups, while perceived health and depression severity predict adherence differently. Further research is needed for tailored interventions.

Keywords:
Internet-based interventionadherencedepressionprimary care

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Area of Science:

  • Psychiatry
  • Digital Health
  • Clinical Psychology

Background:

  • Internet-delivered psychotherapy is effective for depression.
  • Adherence to these interventions shows varied results.
  • Predicting adherence is crucial for optimizing treatment outcomes.

Purpose of the Study:

  • To identify predictors of adherence in a primary care, internet-based depression intervention in Spain.
  • To analyze adherence differences between self-guided and therapist-supported interventions.

Main Methods:

  • A multi-center, randomized controlled trial with 194 depressive patients.
  • Data collection included sociodemographic and clinical characteristics, depression severity (Beck Depression Inventory), self-rated health (visual analogic scale), and quality of life (Short Form Health Survey).
  • The Mini International Neuropsychiatric Interview was used for major depression diagnosis.

Main Results:

  • Age predicted adherence in both self-guided and supported-guided intervention groups.
  • Perceived health negatively predicted adherence in the self-guided group when changes in depression severity were considered.
  • Changes in depression severity predicted adherence in the support-guided group.

Conclusions:

  • Sociodemographic and clinical variables differ between active and dropout participants.
  • Specific adherence predictors were identified for both self-guided and support-guided internet-based depression interventions.
  • Further research is essential to refine tailored interventions and identify patient subgroups that benefit most.