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Proceedings of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 35

Type 1 Diabetes Mellitus Saudi Patients' Perspective on the Adopting IoT-Enabled CGM: Validation of Critical Factors in the IAI-CGM A Framework

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DOI: http://dx.doi.org/10.15439/2023F4851

Citation: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 73–81 ()

Full text

Abstract. The increasing prevalence of diabetes, particularly in Saudi Arabia, calls for effective self-management tools to monitor blood sugar levels, such as Continuous Glucose Monitors. These are medical devices that can be used to track the glucose levels of people without a fingerstick blood sample. However, the adoption of IoT-enabled Continuous Glucose Monitors (IoT-CGM) can be challenging due to the use of new technology. This study proposes the Intention to Adopt IoT-enabled Continuous Glucose Monitors (IAI-CGM) a framework, which incorporates practical, technological, and user behaviour considerations based on the Technology Acceptance Model (TAM). The study defines 8 hypotheses that are analysed using structural equation modelling. Data was collected; from 873 type 1 diabetes patients (T1DM) from Saudi Arabia. The model predicts the significant impact of all factors on adoption intent except technology -related self-efficacy (TRSE), enabling the assessment of Saudi T1DM patients for IoT-CGM readiness. Furthermore, the framework's novelty may serve as inspiration for developing comparable frameworks for wearable or attached health monitoring devices in patients with other illnesses and in other geographical locations.

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