ArticleJournal of diabetes science and technology2016
Continuous Glucose Monitoring in Type 1 Diabetes.
Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 57 citations in OpenAlex.
- Trial
- Acceptability and usability of continuous glucose monitoring systems in older adults aged 75 years and older with diabetes.BMC geriatrics · 2025Article
- Article
- Overcoming barriers in continuous glucose monitoring: Challenges and future directions in diabetes management.Journal of diabetes investigation · 2025Review
- Exploring usability metrics in continuous glucose monitoring systems: insights from the voice of people with diabetes in Italy.Frontiers in clinical diabetes and healthcare · 2025Article
- Development and evaluation of the Flourish Diabetes Programme.Health SA = SA Gesondheid · 2025Article
- Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global Perspective.Journal of the Endocrine Society · 2024Review
- Beyond Hemoglobin A1c-Outcomes That Matter to Individuals With Type 1 Diabetes in Adopting Digital Health Interventions for Self-Management Support: Qualitative Study.JMIR diabetes · 2024Article
- Expanding the horizon of continuous glucose monitoring into the future of pediatric medicine.Pediatric research · 2024Review
- Barriers and Facilitators to Uptake of Continuous Glucose Monitoring for Management of Type 2 Diabetes Mellitus in Youth.The science of diabetes self-management and care · 2023Article
- Article
- Experience with burdens of diabetes device use that affect uptake and optimal use in people with type 1 diabetes.Endocrine connections · 2023Review
- Understanding Older Adults' Experiences With Technologies for Health Self-management: Interview Study.JMIR aging · 2023Article
- Use of Continuous Glucose Monitors to Manage Type 1 Diabetes Mellitus: Progress, Challenges, and Recommendations.Pharmacogenomics and personalized medicine · 2023Review
- Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes.Current diabetes reports · 2022Review
- Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends.Diabetes spectrum : a publication of the American Diabetes Association · 2021Article
- Intermittent Use of Continuous Glucose Monitoring: Expanding the Clinical Value of CGM.Journal of diabetes science and technology · 2021Article
- Barriers to Uptake of Insulin Technologies and Novel Solutions.Medical devices (Auckland, N.Z.) · 2021Review
- Impact of Human Factors Testing on Medical Device Design: Validation of an Automated CGM Sensor Applicator.Journal of diabetes science and technology · 2019Article
- Assessment of Rwandan diabetic patients' needs and expectations to develop their first diabetes self-management smartphone application (Kir'App).Therapeutic advances in endocrinology and metabolism · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundContinuous glucose monitoring (CGM) patient systems have been shown to improve diabetes self-treatment when used consistently. The meaningful integration of this technology into everyday life, however, can vary greatly among CGM users and not all people with diabetes use CGM to its full potential. To address this issue, the study pursued 2 aims: first, to identify patient characteristics that underlie the acceptance of CGM in people with type 1 diabetes and, second, to examine the effects of different levels of experience with CGM use.
methodsGuided by a model based on the technology acceptance model (TAM), structural equation modeling (SEM) was employed to model the patient characteristics as predictors of CGM acceptance. In all, 111 participants (60.4% female, mean = 37.6 years, SD = 11.2) participated in a web-based survey; 40 were current CGM users, 18 were former users and 53 had no experience with CGM systems.
resultsIn general, participants evaluated CGM positively; however, the feeling of information overload represented a major barrier to the sustained use of CGM, while perceptions of usefulness and ease of use constituted incentives for using this technology. Moreover, patients without CGM experience imagined more information overload than current users reported. Current users showed more intention to use CGM than former users.
conclusionThis study highlights the importance of CGM user experience for the effective use of this technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.