GlucoNeo Check in the community: feasibility of photoplethysmography-based non-invasive glucose screening

This study aims to determine accuracy of GlucoNeo Check, PPG-Based Non-Invasive Glucose Screening Device in interpreting patients' blood glucose levels and to understand participants' perspectives on their experiences.

This study uses a mixed-methods with a cross-sectional diagnostic accuracy design to obtain a comprehensive overview through Clarke Error Grid Analysis using 660 participants with 3300 data sets, while incorporating qualitative components to assess feasibility and acceptance, using interviews and FGDs from 31 respondents, and analyzed thematically to understand user experience perspectives when using the device.

GlucoNeo Check performance had a Mean Absolute Percentage Error of 3.6% ± 0.621 and classification accuracy of 89.2% ± 0.0515. Most data fell within Zone A, with a small amount in Zone B and no data in Zones C and D. Thematic analysis identified 4 themes: 1) device quality and practicality, 2) comfort of use, 3) facilitating technology, and 4) inclusive interface design.

GlucoNeo Check is accurate, innovative, and well-received tool for supporting community-based diabetes prevention but requires further validation to be adopted as a standard clinical monitoring tool.