背景:在过去的几十年中,生活方式的变化使亚洲越来越多的人受到非传染性疾病和常见精神健康障碍的影响,包括糖尿病,癌症,和/或抑郁症。通过移动技术针对健康生活方式行为的干预措施,包括聊天机器人等新方法,可能是一个有效的,低成本的方法来防止这些情况。为了确保采用和参与移动卫生干预措施,然而,了解最终用户对使用此类干预措施的看法至关重要。这项研究的目的是探索感知,障碍,以及在新加坡使用移动健康干预措施改变生活方式的促进者。
方法:共进行了六个虚拟焦点小组讨论,共有34名参与者(平均值±SD;年龄45±3.6岁;64.7%为女性)。焦点小组录音被逐字转录,并使用归纳主题分析方法进行分析,然后是根据感知的演绎映射,障碍,主持人,混合因素,或策略。
结果:确定了五个主题:(i)整体福祉是健康生活的核心(即,身体和心理健康的重要性);(ii)鼓励采用移动健康干预措施受到激励措施和政府支持等因素的影响;(iii)尝试移动健康干预措施是一回事,长期坚持是另一个,有关键因素,例如影响移动健康干预措施持续参与的个性化和易用性;(iv)对聊天机器人作为支持健康生活方式行为的工具的看法受到以前对聊天机器人的负面体验的影响,这可能会阻碍人们的吸收;(V)分享与健康相关的数据是可以的,但是在明确谁将有权访问数据等条件下,它将如何存储,以及它将用于什么目的。
结论:研究结果强调了与新加坡和其他亚洲国家制定和实施移动医疗干预措施相关的几个因素。建议包括:(i)以整体福祉为目标,(Ii)调整内容以解决特定环境的障碍,(三)与政府和/或地方(非营利)机构合作制定和/或推广流动卫生干预措施,(Iv)管理对使用激励措施的期望,(四)确定使用聊天机器人的潜在替代方案或补充方法,特别是心理健康。
Changing lifestyle patterns over the last decades have seen growing numbers of people in Asia affected by non-communicable diseases and common mental health disorders, including diabetes, cancer, and/or depression. Interventions targeting healthy lifestyle behaviours through mobile technologies, including new approaches such as chatbots, may be an effective, low-cost approach to prevent these conditions. To ensure uptake and engagement with mobile health interventions, however, it is essential to understand the end-users\' perspectives on using such interventions. The aim of this study was to explore perceptions, barriers, and facilitators to the use of mobile health interventions for lifestyle behaviour change in Singapore.
Six virtual focus group discussions were conducted with a total of 34 participants (mean ± SD; aged 45 ± 3.6 years; 64.7% females). Focus group recordings were transcribed verbatim and analysed using an inductive thematic analysis approach, followed by deductive mapping according to perceptions, barriers, facilitators, mixed factors, or strategies.
Five themes were identified: (i) holistic wellbeing is central to healthy living (i.e., the importance of both physical and mental health); (ii) encouraging uptake of a mobile health intervention is influenced by factors such as incentives and government backing; (iii) trying out a mobile health intervention is one thing, sticking to it long term is another and there are key factors, such as personalisation and ease of use that influence sustained engagement with mobile health interventions; (iv) perceptions of chatbots as a tool to support healthy lifestyle behaviour are influenced by previous negative experiences with chatbots, which might hamper uptake; and (v) sharing health-related data is OK, but with conditions such as clarity on who will have access to the data, how it will be stored, and for what purpose it will be used.
Findings highlight several factors that are relevant for the development and implementation of mobile health interventions in Singapore and other Asian countries. Recommendations include: (i) targeting holistic wellbeing, (ii) tailoring content to address environment-specific barriers, (iii) partnering with government and/or local (non-profit) institutions in the development and/or promotion of mobile health interventions, (iv) managing expectations regarding the use of incentives, and (iv) identifying potential alternatives or complementary approaches to the use of chatbots, particularly for mental health.