A Meta-Analysis of Research on Formal Computer-Mediated Support Groups: Examining Group Characteristics and Health Outcomes
Abstract
This article reports a meta-analysis of 28 studies examining the health-related outcomes associated with participation in a formal computer-mediated support group (CMSG) intervention. In particular, health outcomes related to social support were assessed and four group-level characteristics of CMSGs were tested as potential moderators of intervention effectiveness. The results show that participating in a CMSG intervention—comprised of educational and group communication components—led to increased social support, decreased depression, increased quality of life, and increased self-efficacy to manage one's health condition. Changes in health outcomes were moderated by group size, the nature of the communication channels available, and the duration of the CMSG intervention.
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A meta-analysis indicated that online support is effective in decreasing depression and increasing self-efficacy and quality of life.
“In fact, a meta-analysis indicated that online support is effective in decreasing depression and increasing self-efficacy and quality of life [60].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [60]
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- Authors
- Rains, S. A., & Young, V.
- Affiliations
- University of Arizona (US)
- Corresponding author
- Rains, Stephen A.
- Venue
- Human Communication Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-07
- Volume
- 35
- Issue
- 3
- Pages
- 309-336
- ISSN
- 0360-3989 (ISSN-L)
- 1468-2958
- OpenAlex
- W2045496034
- Cited by
- 265
- References
- 92
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 11 · 2023: 8 · 2022: 18 · 2021: 15 · 2020: 36 · 2019: 15 · 2018: 15 · 2017: 16 · 2016: 19 · 2015: 22 · 2014: 19 · 2013: 23 · 2012: 12
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Communication Research (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
- Social Sciences › Education › Online and Blended Learning
- Keywords
- online health interventions, social support, depression, quality of life, self-efficacy, group size, communication channels, intervention duration, moderators of intervention effectiveness
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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