Mobility Assessment in Multi-morbidity

Multimorbidity (the presence of two or more coexisting long-term conditions) is a significant challenge facing the NHS, especially given UK's ageing population and the association with high levels of illness burden and healthcare costs. Over 50% of adults \>65 years have multiple long-term conditions (MLTCs). Our group has validated a broad range of algorithms applied to single wearable sensors that have the potential to capture walking-related mobility outcomes (such as walking cadence and walking speed) accurately and reliably during activities of daily living across five single long-term conditions. These algorithms, however, cannot be readily applied to people with MLTCs because the effect of multimorbidity on mobility is amplified compared to single long-term conditions secondary to a greater number of complications and sequelae. Accordingly, the aim of this study is to validate algorithms that would allow robust estimation of walking-related mobility outcomes during daily life activities in MLTCs. To meet our objectives, the investigators will perform: i) laboratory-based technical validation of existing and newly developed algorithms for walking-related mobility outcome detection; ii) unsupervised real-life validation of selected algorithms; and iii) examination of how well the validated walking-related mobility outcomes reflect global and disease specific characteristics in older adults with multimorbidity. The investigators will adopt an integrated patient-centric approach where patients with MLTCs will be engaged early in the project to provide input of their perception and concerns regarding mobility limitation in daily life activities. The investigators aim to recruit 55 older adults (\>65 years), men and women, with multiple long-term conditions with the following inclusion criteria: having two or more of the following conditions including osteoarthritis, rheumatoid arthritis, osteoporosis, type 2 diabetes, depression and/or anxiety, hypertension, co