Feasibility of an Activity Control System in Patients with Type 2 Diabetes: Results from a Non-Randomised Controlled Pilot Study.

OBJECTIVE

Diabetes mellitus (DM) is a disease that requires continuous, active management by the patient, encompassing lifestyle and activities of daily living (ADL). There is limited evidence and a scarcity of devices that monitor ADL in patients with DM using artificial intelligence-based technology. This study evaluates the feasibility of the AI2EPD home activity monitoring system, focusing on therapeutic adherence in the treatment of people with DM2.

METHODS

A pilot-controlled study was conducted. Vibration and motion sensors were placed in the home, and physical activity bracelets were worn, together with an Artificial Intelligence web system. The following scales were used for evaluation: System Usability Scale (SUS), Morisky-Green Test, Charlson Comorbidity Index (CCI), Spanish version of the Summary of Diabetes Self-Care Activities Measure (SDSCA-Sp), Diabetes Knowledge Questionnaire (DKQ-24), International Physical Activity Questionnaire (IPAQ), and EuroQol 5D.

RESULTS

Twenty-one participants were included (10 in the intervention group and 11 in the control group). The clinical results were similar for both groups. The intervention group found the system easy to use and safe, indicating high acceptance. No clinical benefit attributable to the intervention was demonstrated. The only statistically significant within-group improvement in HbA1c was observed in the control group; however, given the pilot nature of the study and the multiple exploratory comparisons, this finding should be interpreted with caution.

CONCLUSIONS

The use of the AI2EPD intelligent remote monitoring system in the home was feasible and well accepted by participants. Exploratory findings regarding therapeutic adherence and clinical outcomes warrant further evaluation in adequately powered studies.