Evaluating brief digital interventions for university student mental health in mainland China: a randomized trial

Abstract Mental health disorders are prevalent and burdensome, especially among university students. The need for mental health services, however, outstrips the supply, necessitating the exploration of new models of treatment. We investigated several brief and scalable digital mental health interventions among university students in mainland China. These interventions included two different single-session interventions and brief videos based on dialectical behavior therapy. We tested these interventions in a large trial (modified intention-to-treat analysis sample, n = 1872) that combined randomized and participant preference arms. Participants were randomized into either a randomized arm with five conditions (four intervention conditions plus waitlist control) or a participant preference arm where participants received choice for two conditions. Primary outcome measures were based on the hierarchical taxonomy of psychopathology. Using hierarchical Bayesian analysis, we found strong support that the paid DBT video condition had a small impact, but no strong evidence for the impact of other conditions. This study demonstrates that brief interventions can have reliable, but small, impacts. However, not all interventions were beneficial. Registry: Chinese Clinical Trial Registry, TRN: ChiCTR2400084558 , Registration date: 20 May 2024.

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Publication Details

Journal
npj Mental Health Research
Published
2026-09-24
DOI
https://doi.org/10.1038/s44184-026-00247-w
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating brief digital interventions for university student mental health in mainland China: a randomized trial

Stephen Matthew Schueller, Novia Wong, Emily Baum, Liang Luo et al.
npj Mental Health Research
Digital Mental Health Interventions
article

Evaluating brief digital interventions for university student mental health in mainland China: a randomized trial

Stephen Matthew Schueller, Novia Wong, Emily Baum, Liang Luo, Y Li, Zexin Wen, Michael Lee, Ran Liu, Chuansheng Chen, Peiyi Wang, Yanzhen Zhang, Tianjiao Kong, Y. Anthony Chen, Tannei Hong, Elizabeth A. Martin, Jun Wu, Wenqi Zhang, Michelle Hue-Nam Chan, Wailam Ng, Yumeng Yang, Zhaoxia Yu
article en

Abstract

Abstract Mental health disorders are prevalent and burdensome, especially among university students. The need for mental health services, however, outstrips the supply, necessitating the exploration of new models of treatment. We investigated several brief and scalable digital mental health interventions among university students in mainland China. These interventions included two different single-session interventions and brief videos based on dialectical behavior therapy. We tested these interventions in a large trial (modified intention-to-treat analysis sample, n = 1872) that combined randomized and participant preference arms. Participants were randomized into either a randomized arm with five conditions (four intervention conditions plus waitlist control) or a participant preference arm where participants received choice for two conditions. Primary outcome measures were based on the hierarchical taxonomy of psychopathology. Using hierarchical Bayesian analysis, we found strong support that the paid DBT video condition had a small impact, but no strong evidence for the impact of other conditions. This study demonstrates that brief interventions can have reliable, but small, impacts. However, not all interventions were beneficial. Registry: Chinese Clinical Trial Registry, TRN: ChiCTR2400084558 , Registration date: 20 May 2024.

npj Mental Health Research
University of California, Irvine (US), Beijing Normal University (CN), Irvine University (US)
Openalex Percentile: Top 9%
Digital Mental Health Interventions
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