eHealth technologies have been increasingly used to foster proactive self-management skills for patients with chronic diseases. However, it is challenging to provide each user with their desired support due to the dynamic and diverse nature of the chronic disease and its impact on users. Many such eHealth applications support aspects of `adaptive user interfaces' -- interfaces that change or can be changed to accommodate the user and usage context differences. To identify the state-of-art in adaptive user interfaces in the field of chronic diseases, we systematically located and analysed 48 key studies in the literature with the aim of categorising the key approaches used to date and identifying limitations, gaps and trends in research. Our data synthesis is based on the data sources used for interface adaptation, the data collection techniques used to extract the data, the adaptive mechanisms used to process the data and the adaptive elements generated at the interface. The findings of this review will aid researchers and developers in understanding where adaptive user interface approaches can be applied and necessary considerations for employing adaptive user interfaces to different chronic disease-related eHealth applications.

翻译：电子健康技术日益被用于培养慢性疾病患者的主动自我管理能力。然而，由于慢性疾病的动态性和多样性及其对用户的影响，为每位用户提供其所需的支持具有挑战性。许多此类电子健康应用支持"自适应用户界面"的某些方面——即能够根据用户和使用情境差异进行改变或可被改变的界面。为确定慢性疾病领域自适应用户界面的研究现状，我们系统性地定位并分析了文献中的48项关键研究，旨在对迄今为止所使用的核心方法进行分类，并识别研究中的局限性、空白与趋势。我们的数据综合基于界面适配所用的数据源、提取数据所用的数据收集技术、处理数据所用的自适应机制以及界面生成的自适应元素。本综述的研究结果将帮助研究人员和开发者理解自适应用户界面方法的适用范围，以及在针对不同慢性疾病相关电子健康应用中采用自适应用户界面的必要考量因素。