Group based Video-conferencing for Adults with Depression: Findings from a user-led 2 qualitative data analysis using Participatory Theme Elicitation

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Abstract

Background Accessing support services for depression has been historically difficult given the societal stigma that exists regarding the condition. Recent advances in digital technologies continue to be postulated as a potential panacea yet the results from research trials have been mixed with a range of effect sizes. Methods This article offers a different perspective by presenting a panel of end users (co-researchers) with qualitative interview data (n= 8) taken from a feasibility RCT of a group based videoconferencing service for depressed adults (Trial Number: NCT03288506). The coresearcher panel were introduced to a new method of participatory data analysis known as Participatory Theme Elicitation (PTE). This method involves using network analysis techniques to create groupings and visual diagrams in order to support the
generation of themes and minimise scientific researcher input/influence. Findings Coresearchers
reported that while VC based interventions appeared convenient,
accessible and relatively low cost - additional training and support should be offered to improve uptake and retention. In addition, co-researchers suggested that further exploration is needed regarding the level of self-awareness one feels in a group based VC environment and whether this facilitates disclosure (through disinhibition) or increases anxiety. Conclusions The findings presented here appear to support existing (researcher and academic-led) literature in the field as well as suggest new areas for investigation. By presenting data generated solely by co-researchers, this article also adds to the evidence surrounding participatory analysis methods - particularly the growing need for robust approaches that are accessible and less time-consuming than those currently available.
Original languageEnglish
JournalBMC Research Involvement and Engagement
DOIs
Publication statusPublished - 05 Dec 2019

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