  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.
