A meta-analysis of randomized controlled trials that tested the effectiveness of social media-based mental health interventions found that social media-based mental health interventions led to moderate to high reductions in stress symptoms and low to moderate reductions in the severity of depression and anxiety symptoms. Interventions were more effective when at least 70% of participants were women, when programs were people-driven and socially oriented, and when efficacy was compared to a group receiving care as usual. The paper was published in. Medical Internet Research Journal.
More than 1 in 8 adults and adolescents worldwide have a mental disorder. The two most common types of mental health disorders are anxiety disorders and depression. However, estimates suggest that only a small proportion of individuals suffering from mental health disorders receive treatment that leads to remission of their symptoms. That’s why scientists are exploring new ways to deliver mental health treatment at scale to people who need it.
One promising treatment that can be delivered at scale is online mental health interventions, particularly those delivered through social media-based programs. These interventions represent organized efforts to provide psychological support, education, coping skills, or behavior change strategies through platforms such as Facebook, Instagram, TikTok, WhatsApp, Reddit, or other online communities.
These include therapist-led groups, peer support communities, psychoeducational posts, chat-based guidance, mood tracking, crisis resources, or structured activities based on approaches such as cognitive behavioral therapy or mindfulness. These programs make support more accessible as many people already use social media regularly and may find it easier to participate online than with traditional services. However, their quality, privacy protection, safety procedures, and effectiveness vary, with some studies reporting inconsistent results regarding their effectiveness.
Study author Qiyang Zhang and colleagues wanted to synthesize results from rigorously designed randomized controlled trials investigating the effectiveness of social media-based mental health interventions in reducing mental health symptoms. They were interested in the overall impact of these treatments on symptoms of depression, anxiety, stress, negative emotions, and psychological distress. These researchers also wanted to know the extent to which these effects depended on the methodological specificities of the studies and programs, such as program duration, program focus, and the control group with which the treatment was compared.
They conducted a meta-analysis. The first author of this study conducted a search of databases of published scientific reports, including the Education Resources Information Center, PsychINFO, Scopus, PsychArticles, Communication and Mass Media Complete, PubMed, and Proquest databases. She also used Paperfetcher to search for studies across journals in the field that the study authors considered authoritative and examined the reference lists of the articles she found.
The study authors looked for studies that reported the results of randomized controlled trials with at least 30 participants in each experimental condition. The interventions considered in this study needed to be delivered through social media platforms (e.g., Facebook, Instagram, WhatsApp, WeChat), and differences in mental health symptoms between groups receiving different treatments needed to be small initially. In addition, non-researcher interventions were also needed to better reflect how these programs work in the real world.
We also required that the difference in the number of participants who did not complete the study (attrition rate) in the compared treatment conditions was less than 15%. In this way, we hoped to reduce the risk that the observed treatment differences were caused by differences in dropout rates. For example, if participants who benefited the least or experienced the strongest effects or adverse experiences left one condition more often than the other, the remaining participants could be systematically different, biasing the results.
Ultimately, after screening over 11,000 published studies, 17 studies met all criteria defined by the study authors. These studies reported the effects of 22 different intervention programs involving a total of 5,624 participants. Seven of these programs were conducted with adolescents, seven with people in early adulthood, seven also included participants in middle adulthood, and one study was with older adults.
Twelve studies had over 70% female participants. In nine studies, participants were recruited based on specific clinical conditions.
Overall, the results showed that the investigated studies had low to moderate beneficial effects on mental health symptoms. Symptom reduction was strongest for stress symptoms and was moderate to high in magnitude. It had low to moderate efficacy in reducing symptoms of anxiety and depression.
Further analysis revealed that the social media-based interventions considered were more likely to be human-directed (i.e., taught by humans, including therapists, coaches, or research assistants), socially oriented (i.e., primarily socially programs that provide social interaction, emotional support, or companionship) and when the control group is people who receive care as usual (i.e., when participants in the control group receive standard care rather than in a waiting list group). Interestingly, the researchers found that the age of the participants did not significantly affect the outcome of the intervention.
“This meta-analysis synthesizes the best evidence on the subject and finds that overall high-quality social media-based RCTs (randomized controlled trials) are effective in reducing depression, anxiety, stress, negative emotions, and psychological distress. Given the scalability and cost-effectiveness advantages of social media-based approaches, mental health services should consider integrating online interventions into daily practice,” the study authors concluded.
This study contributes to the scientific understanding of the mental health effects of social media-based mental health interventions. However, the study authors noted that the small sample size of available high-quality studies limited the review’s statistical power. Additionally, the reported effects may not be generalizable to all social media-based mental health interventions. In each case, the effectiveness of a particular intervention depends on its specific characteristics and its appropriateness to the mental health condition or difficulties experienced by the individual receiving the intervention.
The paper, “Social Media-Based Mental Health Interventions: A Meta-Analysis of Randomized Controlled Trials,” was authored by Qiyang Zhang, Zixuan Huang, Yuan Sui, Fu-Hung Lin, Hongjie Guan, Li Li, Ke Wang, and Amanda Neitzel.
