Study reveals the key ingredients for successful social media mental health interventions

A meta-analysis of randomized controlled trials testing the effects of social-media-based mental health interventions found that they lead to moderate-high reductions in stress symptoms and low-moderate reductions in depression and anxiety symptom severity. The interventions were more effective when participants were more than 70% female, when the programs were human-guided, social-oriented, and when effects were compared to groups that received care as usual. The paper was published in the Journal of Medical Internet Research.

More than 1 in 8 adults and adolescents worldwide live with a mental disorder. The two most common types of mental health disorders are anxiety disorders and depression. However, estimates state that only a small fraction of individuals suffering from mental health disorders receive a treatment that results in the remission of symptoms. That is why scientists are looking for new ways to provide mental health treatments at scale to people who need them.

One prospective type of treatment that can be delivered at scale are online mental health interventions, particularly interventions 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.

They 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 can make support more accessible because many people already use social media regularly and may find it easier to engage online than in traditional services. However, their quality, privacy protections, safety procedures, and effectiveness vary, with studies reporting inconsistent results about their effectiveness.

Study author Qiyang Zhang and her colleagues wanted to integrate the findings of rigorously designed randomized controlled trials examining 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 affect, and psychological distress. These researchers also wanted to know how much these effects depend on the methodological specificities of studies and programs, such as program duration, program focus, or the control group the treatment was compared with.

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They conducted a meta-analysis. The first author of this study conducted a search of databases of published scientific reports that included the Education Resources Information Center, PsychINFO, Scopus, PsychArticles, Communication and Mass Media Complete, PubMed, and Proquest databases. She also searched for studies through Paperfetcher across journals in the field the study authors considered reputable, and examined the reference lists of the papers they found.

Study authors looked for studies that reported results of randomized controlled trials with at least 30 participants per experimental condition. The intervention examined in the study needed to be delivered through social media platforms (e.g., Facebook, Instagram, WhatsApp, and WeChat), and the difference in mental health symptoms between groups undergoing different treatments needed to be small at the start. Additionally, the interventions needed to be delivered by nonresearchers to better reflect how these programs would function in the real world.

They also required the difference between the number of participants who did not finish the study (the attrition rate) in the compared treatment conditions to be less than 15%. In this way, they wanted to reduce the risk that the observed treatment differences were caused by different dropout rates.  For example, if participants who benefited least, or those who experienced the strongest effects or adverse experiences, left one condition more often than the other, the remaining participants could become systematically different, biasing the results.

In the end, after screening over 11,000 published studies, 17 studies met all the criteria the study authors defined. These studies reported the effects of 22 distinct intervention programs, comprising 5,624 total participants. Of these programs, 7 were conducted on adolescents, 7 on people in early adulthood, 7 included middle adulthood participants, while 1 study was of older individuals.

Twelve studies had more than 70% female participants. In 9 studies, participants were recruited based on a specific clinical condition.

Overall, the results showed that the examined studies had a low-moderate beneficial effect on mental health symptoms. The symptom reduction was the strongest for stress symptoms and it was moderate-high in size. Effects on reducing anxiety and depression symptoms were low-moderate.

Further analyses found that the examined social-media-based interventions tended to be more effective when the studies were conducted on groups that were more than 70% female, when the programs were human-guided (i.e., guided by humans including therapists, coaches, or research assistants), social-oriented (i.e., programs that provide mainly social interaction, emotional support, or companionship), and when control groups were people who received care as usual (i.e., where control group participants received standard care as opposed to waitlist groups). Interestingly, the researchers found that a participant’s age did not significantly affect the outcomes of the intervention.

“This meta-analysis synthesized the best evidence on this topic and found that, overall, high-quality social-media-based RCTs [randomized controlled trials] were effective in reducing depression, anxiety, stress, negative affect, and psychological distress. Given the benefits of scalability and cost-effectiveness of social-media-based approaches, mental health services should consider integrating online interventions into routine practice,” the study authors concluded.

The study contributes to the scientific understanding of the mental health effects of social-media-based mental health interventions. However, the study authors note that the statistical power of their review was limited by the small sample size of available, high-quality studies. Furthermore, the reported effects are not generalizable to all social-media-based mental health interventions. In each case, the effects of a specific intervention depend on its particular characteristics and on its appropriateness for the mental health condition or difficulties that individuals undergoing the intervention are experiencing.

The paper, “Social-Media-Based Mental Health Interventions: 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.