Best Paul, McConnell Tracey, Davidson Gavin, Badham Jennifer, Neill Ruth D
1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK.
Res Involv Engagem. 2019 Dec 5;5:40. doi: 10.1186/s40900-019-0173-z. eCollection 2019.
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.
This article offers a different perspective by presenting a panel of end users (co-researchers) with qualitative interview data ( = 8) taken from a feasibility RCT of a group based video-conferencing service for depressed adults. The co-researcher 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.
Co-researchers 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.
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.
NCT03288506 (Clinicaltrials.gov) 20th Sept 2017 https://clinicaltrials.gov/ct2/show/NCT03288506.
鉴于社会对抑郁症存在的污名化现象,历史上抑郁症患者获取支持服务一直很困难。数字技术的最新进展仍被假定为一种潜在的万能药,但研究试验的结果好坏参半,效应大小不一。
本文通过向一组最终用户(共同研究者)展示定性访谈数据(n = 8),提供了一个不同的视角。这些数据取自一项针对成年抑郁症患者的基于群组视频会议服务的可行性随机对照试验。向共同研究者小组介绍了一种新的参与式数据分析方法,称为参与式主题引出法(PTE)。该方法涉及使用网络分析技术来创建分组和可视化图表,以支持主题的生成并尽量减少科研人员的投入/影响。
共同研究者报告称,虽然基于视频会议的干预措施看起来方便、易于获取且成本相对较低,但应提供额外的培训和支持,以提高使用率和留存率。此外,共同研究者建议,需要进一步探索在基于群组的视频会议环境中人们的自我认知水平,以及这是否有助于披露信息(通过解除抑制)或增加焦虑感。
此处呈现的研究结果似乎支持该领域现有的(由研究者和学术界主导的)文献,同时也提出了新的研究领域。通过展示仅由共同研究者生成的数据,本文还补充了有关参与式分析方法的证据——特别是越来越需要比现有方法更易于获取且耗时更少的可靠方法。
NCT03288506(Clinicaltrials.gov)2017年9月20日https://clinicaltrials.gov/ct2/show/NCT03288506 。