A randomized controlled trial of MoodSwings 2.0 : An internet-based self-management program for bipolar disorder
- Authors: Gliddon, Emma , Cosgrove, Victoria , Berk, Lesley , Lauder, Sue , Mohebbi, Mohammadreza , Grimm, David , Dodd, Seetal , Coulson, Carolyn , Raju, Karishma , Suppes, Trisha , Berk, Michael
- Date: 2019
- Type: Text , Journal article
- Relation: Bipolar Disorders Vol. 21, no. 1 (2019), p. 28-39
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- Description: Objectives MoodSwings 2.0 is an online self-guided intervention for bipolar disorder that includes educational modules, interactive tools, and discussion forums. The primary aim of the study was to determine if participation in MoodSwings 2.0 would result in decreased symptoms of depression and mania compared to the control condition. Secondary aims were to identify improvements in core depression symptoms, quality of life, medication adherence, functioning, and time to relapse. Methods This was a three-arm randomized controlled trial that compared two intervention arms against a peer support control group (forum). A total of 304 adults aged 21 to 65 years with a diagnosis of bipolar disorder were assigned to a forum-only control group (Group 1; n = 102), a forum plus modules treatment group (Group 2; n = 102), or a forum, modules, and tools treatment group (Group 3; n = 100), in addition to usual care. Results There was a significant intervention impact showing improvement on the primary outcome of depression for Group 2 compared to Group 1 (P = .05) with effect sizes (Cohen's d) ranging from 0.17 to 0.43. There was also a significant intervention impact showing improvement on the secondary outcome of core depression for Group 2 (P = .02) and Group 3 (P = .05), but worse physical functioning for Group 3 (P = .01), compared to Group 1. Conclusions This study provides evidence of the efficacy of internet-based psychoeducation interventions for bipolar disorder in reducing depressive symptoms. Further investigation is needed to assess effectiveness in a public program.
Evaluating discussion board engagement in the MoodSwings online self-help program for bipolar disorder : protocol for an observational prospective cohort study
- Authors: Gliddon, Emma , Lauder, Sue , Berk, Lesley , Cosgrove, Victoria , Grimm, David , Dodd, Seetal , Suppes, Trisha , Berk, Michael
- Date: 2015
- Type: Text , Journal article
- Relation: Bmc Psychiatry Vol. 15, no. (2015), p. 1-9
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- Description: Background: Online, self-guided programs exist for a wide range of mental health conditions, including bipolar disorder, and discussion boards are often part of these interventions. The impact engagement with these discussion boards has on the psychosocial well-being of users is largely unknown. More specifically we need to clarify the influence of the type and level of engagement on outcomes. The primary aim of this exploratory study is to determine if there is a relationship between different types (active, passive or none) and levels (high, mid and low) of discussion board engagement and improvement in outcome measures from baseline to follow up, with a focus on self-reported social support, stigma, quality of life and levels of depression and mania. The secondary aim of this study is to identify any differences in demographic variables among discussion users. Methods/design: The present study is a sub-study of the MoodSwings 2.0 3-arm randomised controlled trial (discussion board only (arm 1), discussion board plus psychoeducation (arm 2), discussion board, psychoeducation plus cognitive behavioural therapy-based tools (arm 3)). Discussion engagement will be measured via online participant activity monitoring. Assessments include online self-report as well as blinded phone interviews at baseline, 3, 6, 9 and 12 months follow up. Discussion: The results of this study will help to inform future programs about whether or not discussion boards are a beneficial inclusion in online self-help interventions. It will also help to determine if motivating users to actively engage in online discussion is necessary, and if so, what level of engagement is optimal to produce the most benefit. Future programs may benefit through being able to identify those most likely to poorly engage, based on demographic variables, so motivational strategies can be targeted accordingly.