The Acceptability and Effects of Internet‐Based Cognitive Behavioral Therapy on Depressive Symptoms and Remission in 13‐ to 17‐Year‐Old Adolescents: A Systematic Review and Meta‐Analysis.

Liu, Pei; Situ, Mingjing; Duan, Xiaoxia; Sun, Huan; Wang, Meiwen; Tao, Yujie; Luo, Tingting; Li, Sixun; Wang, Zhuo; Huang, Yi

Objective: This study aimed to evaluate the acceptability and effects of internet‐based cognitive behavioral therapy (iCBT) or CBT‐oriented interventions compared with control groups on depressive symptoms, remission of depression, and quality of life (QOL) in adolescents. Methods: We searched English and Chinese databases for randomized controlled trials up to October 10, 2024 that investigated the effects of iCBT compared with controls in adolescents exhibiting elevated depressive symptoms or diagnosed with depression. Standardized mean differences (SMDs), relative risks (RRs), and 95% confidence intervals were applied to evaluate the pooled effects of outcomes. Results: A total of 19 RCTs involving 3574 cases were included in this study. We found small effects on depressive symptoms severity at different time points (posttest: SMD = –0.49 [–0.66, –0.33]; 3‐month follow‐up [FU3]: SMD = –0.21 [–0.30, –0.11]; FU6: SMD = –0.18 [–0.35, –0.02]; FU12: SMD = –0.38 [–0.56, –0.20]). We also found a significant effect in depression remission rate at the posttest (RR = 1.74 [1.36, 2.21]) and a significant effect in QOL at the posttest (SMD = 0.30 [0.07, 0.54]). However, the result regarding acceptability was nonsignificant (RR = 1.22 [0.76, 1.97]). No significant publication bias was found in these results. Conclusion: iCBT or internet‐based CBT‐oriented interventions can effectively reduce depressive symptom severity and improve depression remission rate and QOL in depressed adolescents. These results are preliminary and require further validation through future systematic reviews.

DEPRESSION in adolescence; COGNITIVE therapy; MENTAL depression; RANDOMIZED controlled trials; QUALITY of life

Journal of Evidence-Based Medicine, 2024, Vol 17, Issue 4, p740

1756-5383

Academic Journal

10.1111/jebm.12657