Clinical trials

Single-center, prospective, minimal-risk, non-experimental usability study assessing the setup and use of the FDA-registered (Class I medical device; 510(k)-exempt) Feetsee™ home foot-monitoring system by adults with diabetes in their home environment over 8 weeks. This study in non clinical, observational pilot usability study conducted under FDA Human Factors and Usability Engineering guidance (2016).

Diabetic foot ulcers (DFUs) are a major cause of morbidity, lower-extremity amputation and healthcare costs in people with diabetes. DFUs often develop without pain or warning symptoms because of diabetic peripheral neuropathy, so patients may not recognise early signs of tissue damage. Monitoring plantar foot skin temperature is a promising strategy to detect early "hot-spots" of inflammation that precede ulceration and could trigger timely preventive action. This prospective, single-group study will enrol adults with type 1 or type 2 diabetes, a history of plantar DFU that has been healed for at least 6 weeks, and evidence of diabetic peripheral neuropathy. Participants will be recruited from hospital clinics in the United Kingdom and Lithuania. After a baseline assessment (including medical history and neuropathy testing), each participant will receive the FeetSee system, consisting of a thermal camera attached to their own smartphone or tablet, a stand, and the FeetSee mobile application. Participants will be instructed to acquire thermal and optical images of both feet at home at least once per day for 6-9 months, or until a new DFU develops. Images will be uploaded securely to cloud storage, where the FeetSee algorithm will analyse temperature patterns, comparing mirrored regions of both feet to identify potential inflammatory "hot-spots" associated with DFU risk. Participants will continue to receive standard clinical care throughout the study. The primary objective is to generate a longitudinal foot temperature dataset in this high-risk population and use it to retrospectively test and refine the FeetSee algorithm for predicting DFU occurrence. The primary outcome is the incidence of new DFUs during follow-up. Secondary objectives are to assess the feasibility and acceptability of daily device use (recruitment, retention, adherence, user and healthcare-provider questionnaires) and to document any device-related or system-related safety issues.