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Internet-based treatment for depressive symptoms in hemodialysis patients: A cluster randomized controlled trial

Els Nadort1, Robbert W Schouten2, Rosa E Boeschoten3

  • 1Department of Psychiatry, OLVG Hospital, Jan Tooropstraat 164, 1061 AE Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam University Medical Centre and GGZ inGeest, Oldenaller 1, 1081, HJ, Amsterdam, the Netherlands.

General Hospital Psychiatry
|February 8, 2022
PubMed

Insights

A guided internet-based therapy did not reduce depressive symptoms in hemodialysis patients compared to usual care. Future research should focus on optimizing intervention design and accessibility for this population.

Area of Science:

  • Nephrology
  • Psychiatry
  • Digital Health

Background:

  • Depressive symptoms are common in patients undergoing chronic hemodialysis.
  • Effective interventions are needed to manage depression in this vulnerable population.

Purpose of the Study:

  • To evaluate the effectiveness of a guided internet-based self-help problem-solving therapy for hemodialysis patients experiencing depressive symptoms.

Main Methods:

  • A cluster-randomized controlled trial was conducted across nine Dutch hospitals.
  • 190 hemodialysis patients with depression scores (Beck Depression Inventory-II ≥10) were randomized.
  • Intervention group received guided internet-based therapy; control group received usual care.

Main Results:

  • No significant difference in depression scores (BDI-II) was observed between the intervention and control groups (mean difference -0.1, 95% CI -3.0; 2.7, p=0.94).
  • Per-protocol analysis yielded similar results.
  • No significant differences were found in secondary outcomes.

Conclusions:

  • The guided internet-based self-help problem-solving therapy was not effective in reducing depressive symptoms in hemodialysis patients compared to usual care.
  • Further research is recommended to improve the design and accessibility of digital interventions for depression in this patient group.
Abstract

Keywords:
CBTCluster RCTDepressionHemodialysisInternet-based

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