Orpin Joy, Rodriguez Alison, Harrop Deborah, Mills Elizabeth, Campbell Fiona, Martin-Kerry Jacqueline, Turner James, Horsman Janet, Painter Jon, Julian Maddie, Dimitri Paul, Howsley Philippa, Swallow Veronica
Sheffield Hallam University, Sheffield, UK.
University of Leeds, Leeds, UK.
J Child Health Care. 2025 Mar;29(1):204-221. doi: 10.1177/13674935231184919. Epub 2023 Jun 30.
Type 1 diabetes mellitus (T1DM) is the second most common chronic or long-term condition (LTC) affecting young people (YP); when transitioning from paediatric to adult healthcare, young people with LTCs such as T1DM are expected to self-manage medication, diet and clinical appointments. This scoping review aimed to analyse research examining ways digital health technologies were used to support YP with LTCs during transition from paediatric to adult healthcare and to establish YP's needs, experiences and challenges when transitioning. We aimed to identify knowledge gaps and inform development of a novel chatbot with components such as avatars and linked videos to help YP with T1DM gain self-management confidence and competence during transition. Nineteen studies identified through searching five electronic databases were included in this review. A combination of digital health technologies was used to support transition of YP with LTCs to adult healthcare. Barriers to successful transition were reported and YP described the importance of social relationships and transition readiness and expressed the need for individualised interventions that acknowledge social factors such as work and college. No supportive chatbots with components to help YP with T1DM were identified. This contribution will inform future development and evaluation of such a chatbot.
1型糖尿病(T1DM)是影响年轻人(YP)的第二常见的慢性或长期病症(LTC);从儿科医疗过渡到成人医疗时,患有T1DM等长期病症的年轻人需要自行管理药物、饮食和临床预约。本范围综述旨在分析研究,探讨数字健康技术在从儿科医疗过渡到成人医疗期间用于支持患有长期病症的年轻人的方式,并确定年轻人在过渡期间的需求、经历和挑战。我们旨在识别知识空白,并为开发一种新型聊天机器人提供信息,该聊天机器人具有头像和链接视频等组件,以帮助患有T1DM的年轻人在过渡期间获得自我管理的信心和能力。通过搜索五个电子数据库确定的19项研究纳入了本综述。数字健康技术的组合被用于支持患有长期病症的年轻人向成人医疗过渡。报告了成功过渡的障碍,年轻人描述了社会关系和过渡准备的重要性,并表示需要承认工作和大学等社会因素的个性化干预措施。未发现有助于患有T1DM的年轻人的带有组件的支持性聊天机器人。这一贡献将为未来此类聊天机器人的开发和评估提供信息。