Type 1 diabetes mellitus Saudi patients' perspective on the adopting IoT-Enabled CGM: validation of critical factors in the IAI-CGM a framework
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.
History
Publication status
- Published
File Version
- Published version
Publisher
IEEEExternal DOI
Volume
35Page range
73-81Event name
18th Conference on Computer Science and Intelligence Systems FedCSIS 2023 (IEEE #57573)Event location
Warsaw, PolandEvent type
conferenceEvent date
17–20 September 2023Event start date
2023-09-17Event finish date
2023-09-20Department affiliated with
- Informatics Publications
Research groups affiliated with
- Creative Technology Publications
Institution
University of SussexFull text available
- Yes
Peer reviewed?
- Yes