ArticleInternet interventions2017
User characteristics and usage of an open access moderated internet support group for depression and other mental disorders: A prospective study.
Article in Internet interventions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Analyses of posts written in online eating disorder and depression/anxiety moderated communities: Emotional and informational communication before and during the COVID-19 outbreak.Internet interventions · 2021Article
- Developing an explanatory theoretical model for engagement with a web-based mental health platform: results of a mixed methods study.BMC psychiatry · 2021Article
- Acceptability and Feasibility of the Transfer of Face-to-Face Group Therapy to Online Group Chats in a Psychiatric Outpatient Setting During the COVID-19 Pandemic: Longitudinal Observational Study.JMIR formative research · 2021Article
- Designing Mental Health Technologies that Support the Social Ecosystem of College Students.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2020Article
- Combining online and offline peer support groups in community mental health care settings: a qualitative study of service users' experiences.International journal of mental health systems · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet support groups (ISGs) for mental ill-health are common but little is known about the characteristics of users, the usage and predictors of ISG usage and if and how these change over time.
aimThis study evaluated the attributes of a publically accessible ISG for depression and other mental disorders including: (1) the demographic and other characteristics of its users; (2) their patterns of usage; and (3) the factors which predict posts to and retention on the ISG.
methodUser characteristics (gender, age, user type, country and location of residence) were collected at the time of registration on the ISG BlueBoard (blueboard.anu.edu.au). All board log data were downloaded for the period October 2008 to May 2014. Predictors of post frequency and retention on the board were examined using logistic regressions. Other data were analysed using descriptive statistics.
results2932 users contributed 131,004 posts to the ISG. The majority were female, aged 20 to 34 years, and mental health consumers. Although most users were city dwellers, 19% resided in rural or remote regions. Frequency of posts and retention on the board varied across users, with a moderate association between retention and number of posts. Growth in posts substantially exceeded the growth in new users over the monitoring period. Multivariate analysis demonstrated that consumers posted more often and remained longer than carers or others, and that younger users posted less often; however, the model predicted very little of the variance.
conclusionsA small minority of active users are sufficient to ensure the sustainability and growth of an online mental health ISG. Further research is required to understand why so many support group members limit their contributions to one or a very small number of posts and what factors predict and promote active engagement and long-term retention in virtual mental health communities.
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