Sage Journals: Discover world-class research

Abstract

Diabetes management presents unique usability challenges for older adults, particularly in adopting digital health tools. This study evaluates the usability of the GlucoCheck Companion App, which interfaces with a non-invasive glucose monitoring device using AI-driven near-infrared technology. Twelve older adults (aged 65+) participated in a usability test involving core app tasks such as real-time glucose viewing, historical data tracking, and food logging. Findings suggest that GlucoCheck offers a user-friendly, accessible solution for older adults managing diabetes, but continued refinement is essential to address age-related accessibility needs. The study contributes to advancing human-centered design for mobile health tools supporting chronic disease management in aging populations.

Get full access to this article

View all access options for this article.

References

Bergenstal

R. M.

, et al. (2018). Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes. JAMA, 320(5), 507–515.

Birkhoff

S. D.

Smeltzer

S. C.

(2017). Perceptions of smartphone user-centered mobile health tracking apps across various chronic illnesses: A review of the literature. Journal of Nursing Scholarship, 49(4), 371–378.

Centers for Disease Control and Prevention. (2022). National Diabetes Statistics Report. U.S. Department of Health and Human Services.

Charness

Boot

W. R.

(2016). Technology, gaming, and social networking. In Schaie

K. W.

Willis

S. L.

(Eds.), Handbook of the Psychology of Aging (8th ed., pp. 389–407). Academic Press.

Czaja

S. J.

Charness

Fisk

A. D.

, et al. (2006). Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement. Psychology and Aging, 21(2), 333–352.

Holt

R. I. G.

DeVries

J. H.

Hess-Fischl

, et al. (2021). The management of type 1 diabetes in adults. A consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care, 44(11), 2589–2625.

Kitsiou

Paré

Jaana

(2017). Systematic reviews and meta-analyses of home telemonitoring interventions for patients with chronic diseases. Telemedicine and e-Health, 23(1), 31–47.

LeRouge

Sneha

Tolle

(2014). User profiles and personas in the design and development of consumer health technologies. International Journal of Medical Informatics, 82(11), e251–e268.

Chan

A. H. S.

Man

S. S.

(2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics, 75, 162–169.

10.

Mitzner

T. L.

Boron

J. B.

Fausset

C. B.

Adams

A. E.

Charness

Czaja

S. J.

, et al. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710–1721.

11.

Taha

Czaja

S. J.

Sharit

Morrow

D. G.

(2013). Factors affecting usage of a personal health record system among older adults. Health Policy and Technology, 2(1), 27–33.

12.

Wildenbos

G. A.

Peute

Jaspers

(2019). Aging barriers influencing mobile health usability for older adults: A literature-based framework (MOLD-US). International Journal of Medical Informatics, 124, 68–77.

13.

Zhao

Freeman

(2020). Can mobile phone apps influence people's health behavior change? An evidence review. Journal of Medical Internet Research, 22(6), e21183.

Towards Accessible Glucose Monitoring: Usability Insights from the GlucoCheck App for Seniors

Abstract

Get full access to this article

References