Trials

Using a smartphone self-help sleep therapy to treat depression: study plan for a controlled trial

Updated

Abstract

A target sample of 285 non-suicidal Hong Kong Chinese adults with major depression and insomnia will be evaluated using a smartphone application for cognitive behavioral therapy for insomnia.

  • Cognitive behavioral therapy for insomnia (CBT-I) is associated with improvements in sleep quality and severity of insomnia and depression.
  • CBT-I delivered through a smartphone application may address barriers to traditional face-to-face therapy.
  • Participants will be randomly assigned to receive CBT-I immediately or to a waitlist control group.
  • Primary outcomes include changes in sleep quality, insomnia severity, and depression severity, assessed at multiple points.
  • Secondary outcomes will evaluate changes in anxiety, subjective health, treatment expectancy, and acceptability of treatment.

Simplified

Key numbers

285
Sample Size
Target sample size for the trial.
1:1
Randomization Ratio
Participants are randomized to either CBT-I or waitlist control.

Full Text

What this is

  • This protocol outlines a two-arm parallel randomized controlled trial (RCT) to evaluate a smartphone-based self-help cognitive behavioral therapy for insomnia (CBT-I) in individuals with major depression and insomnia in Hong Kong.
  • Participants will be randomized to receive either immediate CBT-I through the proACT-S app or be placed on a waitlist control.
  • The study aims to assess changes in sleep quality, insomnia severity, and depression severity, with follow-ups at post-intervention and 6 weeks later.

Essence

  • The study tests the efficacy of a smartphone-delivered self-help CBT-I for treating major depression and insomnia. It compares outcomes between immediate treatment and a waitlist control group.

Key takeaways

  • The trial involves 285 participants aged 18 and older, all residents of Hong Kong, who meet specific criteria for major depression and insomnia.
  • The primary outcomes focus on changes in sleep quality, insomnia severity, and depression severity, assessed at multiple time points.
  • If effective, the proACT-S app could serve as a community-based early intervention, potentially alleviating the public healthcare burden in Hong Kong.

Caveats

  • The study may face recruitment bias, as it targets individuals reluctant to seek traditional healthcare, potentially affecting generalizability.
  • Social and political unrest in Hong Kong during the recruitment period may influence participants' mental health and treatment outcomes.
  • The COVID-19 pandemic may further complicate the study, impacting participants' mental health and the feasibility of the intervention.

Simplified

Funding

Competing interests

The authors declare that they have no competing interests.
PubMed

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