Chen Qiang, Zhao Ziyi, Bao Jiamin, Lin Jie, Li Wei, Zang Yinyin
School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.
Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Int J Clin Health Psychol. 2024 Jul-Sep;24(3):100489. doi: 10.1016/j.ijchp.2024.100489. Epub 2024 Aug 6.
Poor mental health literacy (MHL) in the global population significantly contributes to the treatment gap associated with mental disorders. In the digital age, leveraging Internet-based MHL interventions offers scalability and broader accessibility. This meta-analysis aimed to evaluate the effects of Internet-based interventions in improving MHL and mental health.
Up to Feb 2024, seven databases were searched for Internet-based interventions on MHL (knowledge, stigma, help-seeking attitudes and intentions) and mental disorders (general distress, anxiety, and depressive symptoms). The random-effects meta-analyses at post-intervention and long-term follow-up assessments were performed.
Twenty-nine eligible studies involving 11,582 participants were included. Significant positive effects were observed across various domains: knowledge increase (immediate: = 0.459, 95 %CI: 0.285 to 0.634; follow-up: = 0.487, 95 %CI: 0.348 to 0.626), immediate stigma reduction ( = -0.332, 95 %CI: -0.479 to -0.186), immediate enhancement of help-seeking attitudes ( = 0.168, 95 %CI: 0.046 to 0.3291) and help-seeking intentions ( = 0.135, 95 %CI: 0.072 to 0.198), as well as immediate mental health improvements ( = -0.074, 95 %CI: -0.115 to -0.033).
Overall, these findings underscore the promising effects of internet-based interventions in improving MHL and mental health, while maintaining these effects over time remains challenging, particularly in reducing stigma and promoting long-term help-seeking behaviors. Addressing methodological limitations, adopting a more interactive approach, and implementing targeted interventions are crucial to maximizing the effectiveness and advancing mental health care worldwide.
全球人群中较差的心理健康素养（MHL）显著导致了与精神障碍相关的治疗差距。在数字时代，利用基于互联网的MHL干预措施具有可扩展性和更广泛的可及性。本荟萃分析旨在评估基于互联网的干预措施在改善MHL和心理健康方面的效果。
截至2024年2月，在七个数据库中搜索了关于MHL（知识、污名、求助态度和意图）和精神障碍（一般困扰、焦虑和抑郁症状）的基于互联网的干预措施。在干预后和长期随访评估中进行随机效应荟萃分析。
纳入了29项符合条件的研究，涉及11582名参与者。在各个领域均观察到显著的积极效果：知识增加（即时： = 0.459，95%CI：0.285至0.634；随访： = 0.487，95%CI：0.348至0.626），即时污名减少（ = -0.332，95%CI：-0.479至-0.186），即时求助态度增强（ = 0.168，95%CI：0.046至0.3291）和求助意图增强（ = 0.135，95%CI：0.072至0.198），以及即时心理健康改善（ = -0.074，95%CI：-0.115至-0.033）。
总体而言，这些发现强调了基于互联网的干预措施在改善MHL和心理健康方面的显著效果，然而随着时间推移维持这些效果仍然具有挑战性，特别是在减少污名和促进长期求助行为方面。解决方法学局限性、采用更具互动性的方法以及实施针对性干预对于最大化有效性和推动全球精神卫生保健至关重要。
