The goal is to develop a mHealth App using smartphone embedded sensors to objectively collect physical function data in individuals with knee osteoarthritis (KOA) in the context of daily life. It will be performed technical development of an internet-interactive App to collect, analyze and transfer the subjects' data. As a proof-of-concept, the mHealth App will execute algorithms that automate deployment of three well-established physical function tests. In a laboratory setting, it will be evaluated usability, acceptability and reliability of the mHealth App compared with traditional performance tests among focus groups of individuals with KOA. It will then evaluate its usability and acceptability when used in the participants' home environments. As an early indicator of construct validity, it will be examined if the physical function test measurements can detect diurnal variation in the impact of KOA.
The overarching goal is to develop a mHealth App that can use smartphone embedded sensors to objectively collect physical function data in individuals with knee osteoarthritis (KOA) in the context of daily life.