Functionality and feasibility of cognitive function training via mobile health application among youth at risk for psychosis
Huijun Li , Shunwen Yang , Hongmei Chi , Lihua Xu , Tianhong Zhang , Feng Bao , William S. Stone , Jijun Wang
Exploration of Digital Health Technologies ›› 2024, Vol. 2 ›› Issue (1) : 7 -19.
Aim: Mobile health applications (MHAs) have been rapidly designed and urgently need evaluation. Existing evaluation methods, such as platform, development, and subjective overall user observations, are mostly based on application (app) design. This study aimed to evaluate the functionality and feasibility of an MHA to train cognitive function in youth at clinical high risk (CHR) for psychosis with a tool that allows a comprehensive user experience evaluation of mobile apps from multiple dimensions.
Methods: Eighty participants with CHR for psychosis were recruited and randomly assigned to the intervention and the group control. Participants in the intervention group used the Specific Memory Attention Resource and Training (SMART) app for three months. MHA’s functionality and feasibility were measured by the mobile app rating scale (MARS) and qualitative tools.
Results: Participants in the SMART group report that the form and design of this app are simple to operate, and the content is trustworthy. They reported improvement in cognitive function and more motivation to seek help to improve their cognitive function. They also pointed out areas of improvement.
Conclusions: SMART usability and functionality were measured by a multidimensional tool. It shows promise in improving CHR memory and attention and demonstrates appropriate usability and functionality.
User interface design / mobile health application / serious games / mental health / user willingness
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