Design of a Mindfulness Virtual Community: A focus-group analysis
Open accessAbstract
Mental illnesses are on the rise on campuses worldwide. There is a need for a scalable and economically sound innovation to address these mental health challenges. The aim of this study was to explore university students’ needs and concerns in relation to an online mental health virtual community. Eight focus groups ( N = 72, 55.6% female) were conducted with university students aged 18–47 (mean = 23.38, SD = 5.82) years. Participants were asked about their views in relation to online mental health platform. Three major themes and subthemes emerged: (1) perceived concerns: potential loss of personal encounter and relationships, fear of cyber bullying, engagement challenge, and privacy and distraction; (2) perceived advantages: anonymity and privacy, convenience and flexibility, filling a gap, and togetherness; and (3) desired features: user-centered design, practical trustworthy support, and online moderation. The analysis informed design features for a mindfulness virtual community.
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Systematic reviews show that meditation and mindfulness-based intervention programs improve resilience to stress, anxiety and depression among university students and other populations, whether delivered offline or online.
“Systematic reviews conducted on the effectiveness of meditation programs and mindfulness-based intervention programs led to improvements in resilience to stress, anxiety and depression among university students and other populations, whether delivered offline [9] or online [10–14].”
From Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review (2021) · cites this paper as [13]
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- Authors
- El Morr, C., Maule, C., Ashfaq, I., Ritvo, P., & Ahmad, F.
- Affiliations
- York University, Canada
- York University (CA)
- Venue
- Health Informatics Journal
- Publisher
- SAGE Publications
- Published
- 2019-11-11
- Volume
- 26
- Issue
- 3
- Pages
- 1560-1576
- ISSN
- 1355-4743 (ISSN-L)
- 1460-4582
- 1741-2811
- OpenAlex
- W2983308304
- Cited by
- 31
- References
- 84
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 6 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 1
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Health Informatics Journal (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Canadian Institutes of Health Research (EH1- 143553)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- mindfulness, online communities, online mental health platforms, university students, student mental health, user needs, cyberbullying, online content moderation, user-centered design
- MeSH terms
- Mental Disorders, Female, Humans, Male, Mental Health, Focus Groups, Mindfulness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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