Kang Yong-Bin, McCosker Anthony, Kamstra Peter, Farmer Jane
Australian Research Council (ARC) Centre of Excellence for Automated Decision-Making and Society (ADM+S), Swinburne University of Technology, Victoria, Australia.
Social Innovation Research Institute, Swinburne University of Technology, Victoria, Australia.
JMIR Form Res. 2022 Sep 22;6(9):e39013. doi: 10.2196/39013.
Resilience is an accepted strengths-based concept that responds to change, adversity, and crises. This concept underpins both personal and community-based preventive approaches to mental health issues and shapes digital interventions. Online mental health peer-support forums have played a prominent role in enhancing resilience by providing accessible places for sharing lived experiences of mental issues and finding support. However, little research has been conducted on whether and how resilience is realized, hindering service providers' ability to optimize resilience outcomes.
This study aimed to create a resilience dictionary that reflects the characteristics and realization of resilience within online mental health peer-support forums. The findings can be used to guide further analysis and improve resilience outcomes in mental health forums through targeted moderation and management.
A semiautomatic approach to creating a resilience dictionary was proposed using topic modeling and qualitative content analysis. We present a systematic 4-phase analysis pipeline that preprocesses raw forum posts, discovers core themes, conceptualizes resilience indicators, and generates a resilience dictionary. Our approach was applied to a mental health forum run by SANE (Schizophrenia: A National Emergency) Australia, with 70,179 forum posts between 2018 and 2020 by 2357 users being analyzed.
The resilience dictionary and taxonomy developed in this study, reveal how resilience indicators (ie, "social capital," "belonging," "learning," "adaptive capacity," and "self-efficacy") are characterized by themes commonly discussed in the forums; each theme's top 10 most relevant descriptive terms and their synonyms; and the relatedness of resilience, reflecting a taxonomy of indicators that are more comprehensive (or compound) and more likely to facilitate the realization of others. The study showed that the resilience indicators "learning," "belonging," and "social capital" were more commonly realized, and "belonging" and "learning" served as foundations for "social capital" and "adaptive capacity" across the 2-year study period.
This study presents a resilience dictionary that improves our understanding of how aspects of resilience are realized in web-based mental health forums. The dictionary provides novel guidance on how to improve training to support and enhance automated systems for moderating mental health forum discussions.
复原力是一个公认的基于优势的概念，用于应对变化、逆境和危机。这一概念支撑着个人和基于社区的心理健康问题预防方法，并塑造了数字干预措施。在线心理健康同伴支持论坛通过提供分享心理问题生活经历和寻求支持的便捷场所，在增强复原力方面发挥了重要作用。然而，关于复原力是否以及如何得以实现的研究很少，这阻碍了服务提供者优化复原力成果的能力。
本研究旨在创建一个复原力词典，以反映在线心理健康同伴支持论坛中复原力的特征和实现方式。研究结果可用于指导进一步的分析，并通过有针对性的审核和管理来改善心理健康论坛中的复原力成果。
提出了一种使用主题建模和定性内容分析创建复原力词典的半自动方法。我们展示了一个系统的四阶段分析流程，该流程对原始论坛帖子进行预处理、发现核心主题、将复原力指标概念化并生成复原力词典。我们的方法应用于澳大利亚精神分裂症全国紧急救助组织（SANE）运营的一个心理健康论坛，分析了2018年至2020年间2357名用户发布的70179条论坛帖子。
本研究中开发的复原力词典和分类法揭示了复原力指标（即“社会资本”“归属感”“学习”“适应能力”和“自我效能感”）如何以论坛中常见讨论的主题为特征；每个主题的前10个最相关描述词及其同义词；以及复原力的相关性，反映了一个更全面（或复合）且更有可能促进其他指标实现的指标分类法。研究表明，复原力指标“学习”“归属感”和“社会资本”更常得以实现，在为期两年的研究期间，“归属感”和“学习”是“社会资本”和“适应能力”的基础。
本研究提出了一个复原力词典，增进了我们对复原力在网络心理健康论坛中如何得以实现的理解。该词典为如何改进培训以支持和增强用于审核心理健康论坛讨论的自动化系统提供了新的指导。
