Self-Reported Views on Managing Type 1 Diabetes Mellitus

Stedman, Mike; Rea, Rustam; Duff, Christopher J.; Livingston, Mark; Brown, Stephen; Grady, Katherine; McLoughlin, Katie; Gadsby, Roger; Paisley, Angela; Fryer, Anthony A.; Heald, Adrian H.

Abstract

In the last 40 years, self–blood glucose monitoring (BGM) has revolutionized the treatment of type 1 diabetes mellitus (T1DM). Glaser et al1 reported that lack of understanding of and/or frustration with complexity of insulin dose calculations may contribute to poor adherence to insulin regimes and consequently suboptimal metabolic control in T1DM.
At a general practice level we found that there is a variation in BGM strip analytical performance.2 Furthermore, we recently showed a link between blood glucose meter accuracy and an established qualitative error grid (Parkes’ Grid), highlighting the potential impact of BGM strip precision on clinical decision making/glycemic outcomes.3,4
In this study, we collected patient views about their experience of self-BGM, including confidence in the equipment, and how this relates to the day-to-day experience of managing T1DM.

Citation

Stedman, M., Rea, R., Duff, C. J., Livingston, M., Brown, S., Grady, K., McLoughlin, K., Gadsby, R., Paisley, A., Fryer, A. A., & Heald, A. H. (2021). Self-Reported Views on Managing Type 1 Diabetes Mellitus. Journal of Diabetes Science and Technology, 15(1), 198-200. https://doi.org/10.1177/1932296820937771

• Journal Article Type: Article
• Acceptance Date: Jul 5, 2020
• Online Publication Date: Jul 5, 2020
• Publication Date: 2021-01
• Deposit Date: Jun 2, 2023
• Journal: Journal of Diabetes Science and Technology
• Electronic ISSN: 1932-2968
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 1
• Pages: 198-200
• DOI: https://doi.org/10.1177/1932296820937771
• Keywords: Biomedical Engineering; Bioengineering; Endocrinology, Diabetes and Metabolism; Internal Medicine
• Public URL: https://keele-repository.worktribe.com/output/435431
• PMID: 32627591