Before it’s too late
“怡情健心” is an app offering knowledge of cardiovascular diseases, depression and anxiety disorder, and tests to assess your risks of having the mentioned mental illnesses. This app serves as a nice reminder about users’ health status.
As we grow old, diseases, such as cardiovascular diseases, anxiety disorder and depression, can easily slip into our body. And it’s hard for citizens to even notice.
This is why The Jockey Club School of Public Health and Primary Care
Faculty of Medicine, and Department of Family Medicine, New Territories East Cluster jointly create this app to arouse citizens’ awareness on their health risk. They envision after using this app, users can know their current risk of having the mentioned diseases and hopefully get help from doctors before the situation goes wild.
The primary target users of this app is older adults. These users are very different from youngsters. One of the main differences is that they are comparatively less familiar and patient to new tech. A tiny hinderance during the app using experience could mean the users stop trying the app any further. This UX challenge, is what we target to tackle.
There are 3 tests in this app, each assessing the users’ risk for 1 particular disease. For the depression test, one design trick is that after choosing an answer for a question, the page automatically jumps to the next question. This saves 1 click from the users and smoothen the assessment process.
Each assessment is designed to have fewer than 9 questions or to be finished within 2 minutes. This is a sharp difference from those lengthy medical test and encourages users to give the tests a try.
During the assessment, we include a number of icons and related images. These cute, simplistic icons and images help users understand the questions and remain relaxed during the test.
At the end of the assessment, users are shown a simple scale with 4 levels (normal, mild, high, severe), instead of complicated calculation. With this presentation, Users are far less likely to be overwhelmed by the calculation.
These are our considerations put into the app during development. And we sincerely hope the app helps users detect their illness early, accurately and they can tackle the disorders confidently.