Opportunities to expand access to mental health services: A case for the role of online peer support communities

Psychiatric Quarterly(2022)

引用 7|浏览7
暂无评分
摘要
This study investigated whether with disruptions in care due to the COVID-19 pandemic, persons who self-identified as living with a mental health condition increased their usage of an online peer support community. We also explored whether study participants who self-reported usage of online peer support communities were interested in using these communities to connect with evidence-based interventions and mental health services. This study employed a cross-sectional online survey design. The survey was disseminated by the Inspire online peer support community and Mental Health America through various social media channels. Descriptive and inferential analyses were conducted to summarize participant demographics, investigate patterns of use of online peer support communities, and interest in accessing additional programs through these platforms. There were 369 survey respondents, with a mean age of 49 (SD = 15.6), of which 77% were female. Most respondents self-reported having depression (34%), post-traumatic stress disorder (25%), and anxiety-related conditions (20%). The number of respondents who reported accessing online peer support platforms multiple times a day appeared to double after March 2020. We also found an overall positive association between frequency of community use and self-reported benefit to mental health. Approximately 81% of respondents expressed interest in accessing mental health services via an online peer support community. Persons who self-report living with mental health conditions and who engage in online peer support communities expressed interest in accessing evidence-based interventions via these online platforms. Participants were most interested in services related to enhancing coping mechanisms and skills, enabling overall wellbeing, and accessing therapy.
更多
查看译文
关键词
Digital peer support, Mental health, Early intervention, Online communities
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要