Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study

Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study

Wearable insulin biosensors represent a novel approach that combines the benefits of real-time glucose monitoring and automated insulin delivery, potentially revolutionizing how individuals with diabetes manage their condition. To analyze the behavioral intentions of wearable insulin biosensors amon...

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Bibliographic Details
Published in:Curēus (Palo Alto, CA) Vol. 15; no. 12; p. e50782
Main Authors: Alanzi, Turki M, Alzahrani, Wala, Almoraikhi, Mohammed, Algannas, Asayil, Alghamdi, Mohammed, Alzahrani, Lujain, Abutaleb, Ruba, Ba Dughaish, Renad, Alotibi, Nada, Alkhalifah, Shayma, Alshehri, Mona, Alzahrani, Hayat, Almahdi, Reham, Alanzi, Nouf, Farhah, Nesren
Format: Journal Article
Language:English
Published: United States Cureus Inc 19-12-2023
Cureus
Subjects:
Artificial intelligence
Automation
Biosensors
Caregivers
Cross-sectional studies
Diabetes
Glucose
Infusion pumps
Insulin
Public Health
Quality of life
Questionnaires
Smartphones
trust
adoption
insulin
biosensors
monitoring
diabetes
artificial intelligence
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Summary:Wearable insulin biosensors represent a novel approach that combines the benefits of real-time glucose monitoring and automated insulin delivery, potentially revolutionizing how individuals with diabetes manage their condition. To analyze the behavioral intentions of wearable insulin biosensors among diabetes patients, the factors that drive or hinder their usage, and the implications for diabetes management and healthcare outcomes. A cross-sectional survey design was adopted in this study. The validated questionnaire included 10 factors (Performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, and personal innovativeness) affecting the acceptance of wearable insulin sensors. A total of 248 diabetic patients who had used wearable sensors participated in the study. Performance expectancy was rated the highest (Mean = 3.84 out of 5), followed by effort expectancy (Mean = 3.78 out of 5), and trust (Mean = 3.53 out of 5). Statistically significant differences (p < 0.05) were observed with respect to socio-demographic variables including age and gender on various influencing factors and adoption intentions. PE, EE, and trust were positively associated with adoption intentions. While wearable insulin sensors are positively perceived with respect to diabetes management, issues like privacy and security may affect their adoption.
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ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.50782