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Development of a Digital Lifestyle Modification Intervention for Use after Transient Ischaemic Attack or Minor Stroke: A Person-Based Approach

机译:在短暂性缺血攻击或轻微中风后使用的数字生活方式改性干预:基于人的方法

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摘要

This paper describes the development of the ‘Brain-Fit’ app, a digital secondary prevention intervention designed for use in the early phase after transient ischaemic attack (TIA) or minor stroke. The aim of the study was to explore perceptions on usability and relevance of the app in order to maximise user engagement and sustainability. Using the theory- and evidence-informed person-based approach, initial planning included a scoping review of qualitative evidence to identify barriers and facilitators to use of digital interventions in people with cardiovascular conditions and two focus groups exploring experiences and support needs of people (N = 32) with a history of TIA or minor stroke. The scoping review and focus group data were analysed thematically and findings were used to produce guiding principles, a behavioural analysis and explanatory logic model for the intervention. Optimisation included an additional focus group (N = 12) and individual think-aloud interviews (N = 8) to explore perspectives on content and usability of a prototype app. Overall, thematic analysis highlighted uncertainty about increasing physical activity and concerns that fatigue might limit participation. Realistic goals and progressive increases in activity were seen as important to improving self-confidence and personal control. The app was seen as a useful and flexible resource. Participant feedback from the optimisation phase was used to make modifications to the app to maximise engagement, including simplification of the goal setting and daily data entry sections. Further studies are required to examine efficacy and cost-effectiveness of this novel digital intervention.
机译:本文介绍了“脑拟合”应用的发展,设计用于在短暂性缺血性发作(TIA)或轻微中风后早期使用的数字二级预防干预。该研究的目的是探讨应用程序的可用性和相关性的看法,以最大限度地提高用户参与和可持续性。利用理论和证据知识的人的方法,初步规划包括对定性证据的范围审查,以确定使用心血管条件的人们的数字干预措施和探索人们的两次焦点小组的数字干预措施,并探索人们的两次焦点小组(n = 32)TIA或轻微中风的历史。主题分析了裁剪审查和焦点组数据,并用于产生指导原理,行为分析和干预的解释性逻辑模型。优化包括一个额外的焦点组(n = 12)和个人思考 - 大声访谈(n = 8),以探讨原型应用程序的内容和可用性的透视图。总体而言,主题分析强调了增加身体活动的不确定性,并且担心疲劳可能限制参与。活动的现实目标和逐步增加被视为改善自信和个人控制权。该应用程序被视为有用和灵活的资源。优化阶段的参与者反馈用于对应用进行修改以最大限度地提高参与,包括简化目标设置和日常数据输入部分。需要进一步研究来检查这部新型数字干预的疗效和成本效益。

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