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Back to the 19 October 2026 edition

Research · 02 of 05

Digital placebos improved depression scores by a moderate amount

Judge any depression app by its difference from a sham app, not from a waiting list.

Design
Systematic review and meta-analysis of placebo arms in blinded RCTs
Population
30 trials, 5,680 participants in digital placebo arms
Primary outcome
Change in PHQ-9 within digital placebo arms
Effect
Hedges g 0.44 (95% CI 0.29-0.59), I² 93.2%

A meta-analysis in the Journal of Medical Internet Research (9 October 2026) pooled the control arms of 30 blinded randomised trials, with 5,680 participants, in which a sham app or other digital placebo was the comparator and depression was measured with the PHQ-9.

Within those placebo arms, PHQ-9 scores improved with a pooled Hedges g of 0.44 (95% CI 0.29-0.59), with very high heterogeneity (I² 93%). Trials in people with a primary psychiatric disorder, and those with higher baseline scores, showed bigger placebo improvements; together these explained about half the variation.

This changes how to read the evidence for mental health apps. A trial comparing an app with a waiting list folds this sizeable placebo response into the app's apparent benefit. The useful question about any digital therapeutic is how much it beats a credible sham.

  • Check what the control arm was before trusting a mental health app trial
  • Discount app benefits measured against waiting lists or usual care alone
  • Expect larger placebo responses in more severe depression and in clinical populations
  • Tell patients that engagement itself may help, but is not the same as a specific treatment effect

Why it matters

Much of the claimed benefit of mental health apps may be the response to any credible digital contact.

The statistics, in plain English

Hedges g of 0.44 is a within-arm, moderate-sized improvement, similar in scale to some active treatments. The I² of 93% means the trials varied enormously, so the pooled number is an average across very different situations rather than a figure to expect in any one setting.

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