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[Personalised internet-based interventions for depression: with or without personal support?]

Eirini Karyotaki1, Pim Cuijpers1,2

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Summary
This summary is machine-generated.

Internet-based depression treatment is more accessible. Unguided interventions are as effective as guided ones for mild depression, paving the way for personalized mental healthcare.

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Area of Science:

  • Psychiatry
  • Digital Health
  • Clinical Psychology

Background:

  • Internet-based interventions enhance accessibility of psychological treatment for depression.
  • Previous research indicates guided interventions are generally more effective than unguided ones.
  • Personalized treatment approaches are needed to optimize outcomes for diverse patient groups.

Purpose of the Study:

  • To investigate if specific patient subgroups benefit equally from guided versus unguided internet-based depression interventions.
  • To identify patient characteristics that predict differential treatment outcomes.
  • To advance personalized digital mental healthcare strategies.

Main Methods:

  • Conducted an individual patient data network meta-analysis.
  • Integrated primary data from 36 randomized controlled trials.
  • Included a total of 8107 patients with depression.

Main Results:

  • Patient characteristics were found to predict treatment outcomes.
  • Unguided internet-based interventions demonstrated comparable effectiveness to guided interventions in cases of mild depression.
  • Predictive models were developed to identify patient subgroups benefiting from specific intervention types.

Conclusions:

  • Internet-based interventions offer accessible depression treatment options.
  • Personalized treatment selection is possible, particularly for mild depression where unguided interventions may suffice.
  • This study represents a significant advancement toward tailored digital mental health solutions.