OBJECTIVE: As the Internet has become a ubiquitous tool for health information, the use of Internet support groups for mental health concerns has grown. Despite the widespread use of these groups, little research has examined the efficacy and effectiveness of online communities for ameliorating mental health symptoms or factors that prompt people to seek online support rather than formal treatment. Our study addresses this gap in the literature by investigating Internet support group use as an alternative to formal mental health services. METHODS: Logistic regression was conducted with data from the 2008 National Survey on Drug Use and Health (NSDUH) to examine relationships among treatment beliefs, practical variables such as time and affordability, stigma, and use of Internet support groups among 2,532 survey participants who reported a need for mental health treatment but were not receiving formal services. RESULTS: Four significant predictors of Internet support group use emerged: fear of being hospitalized or taking medication (adjusted odds ratio [AOR]=8.81, 95% confidence interval [CI]=4.25-18.27), inadequate insurance coverage (AOR=3.22, CI=1.44-7.20), age 26-34 years (AOR=.22, CI=.07-.69), and age 35 or older (AOR=.21, CI=.08-.56). CONCLUSIONS: Fear of coercion and the costs of traditional mental health services were important predictors of Internet support group use. The finding that inadequate insurance coverage prompted people to seek Internet support aligns with a substantial literature regarding lack of financial resources and reduced access to treatment. Individuals' fears of hospitalization and of taking medication suggested that they may view formal treatment as potentially coercive. Further work is needed to decrease public stigma regarding mental health services and the conditions under which involuntary treatment occurs.
OBJECTIVE: As the Internet has become a ubiquitous tool for health information, the use of Internet support groups for mental health concerns has grown. Despite the widespread use of these groups, little research has examined the efficacy and effectiveness of online communities for ameliorating mental health symptoms or factors that prompt people to seek online support rather than formal treatment. Our study addresses this gap in the literature by investigating Internet support group use as an alternative to formal mental health services. METHODS: Logistic regression was conducted with data from the 2008 National Survey on Drug Use and Health (NSDUH) to examine relationships among treatment beliefs, practical variables such as time and affordability, stigma, and use of Internet support groups among 2,532 survey participants who reported a need for mental health treatment but were not receiving formal services. RESULTS: Four significant predictors of Internet support group use emerged: fear of being hospitalized or taking medication (adjusted odds ratio [AOR]=8.81, 95% confidence interval [CI]=4.25-18.27), inadequate insurance coverage (AOR=3.22, CI=1.44-7.20), age 26-34 years (AOR=.22, CI=.07-.69), and age 35 or older (AOR=.21, CI=.08-.56). CONCLUSIONS: Fear of coercion and the costs of traditional mental health services were important predictors of Internet support group use. The finding that inadequate insurance coverage prompted people to seek Internet support aligns with a substantial literature regarding lack of financial resources and reduced access to treatment. Individuals' fears of hospitalization and of taking medication suggested that they may view formal treatment as potentially coercive. Further work is needed to decrease public stigma regarding mental health services and the conditions under which involuntary treatment occurs.
Authors: Julia Marie Bickerstaff; Sana Karim; Rachel Kallem Whitman; Alyssa Cypher; Susan Wiener; Ana Radovic Journal: J Technol Behav Sci Date: 2021-05-15
Authors: Emma Gliddon; Sue Lauder; Lesley Berk; Victoria Cosgrove; David Grimm; Seetal Dodd; Trisha Suppes; Michael Berk Journal: BMC Psychiatry Date: 2015-10-14 Impact factor: 3.630
Authors: Mareike Dreier; Julia Ludwig; Martin Härter; Olaf von dem Knesebeck; Johanna Baumgardt; Thomas Bock; Jörg Dirmaier; Alison J Kennedy; Susan A Brumby; Sarah Liebherz Journal: BMC Psychiatry Date: 2019-05-17 Impact factor: 3.630