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Predictive Factors of the Adherence to Real-Time Continuous Glucose Monitoring Sensors: A Prospective Observational Study (PARCS STUDY)

Authors :
Moritsugu Kimura
Hideaki Sawaki
Ken Kato
Naoki Sakane
Akira Okada
Satoshi Kawashima
Tomokazu Watanabe
Akiko Suganuma
Atsuhito Tone
Masao Toyoda
Akio Kuroda
Takashi Murata
Shinsuke Nirengi
Yushi Hirota
Munehide Matsuhisa
Source :
J Diabetes Sci Technol
Publication Year :
2020

Abstract

Background: Information about factors related to better adherence to continuous glucose monitoring (CGM) sensor adherence is quite limited. Materials and Methods: Forty-six participants with type 1 diabetes using continuous subcutaneous insulin infusion (CSII) without CGM were recruited. The participants’ characteristics and diabetes-related quality of life (QOL) were evaluated at baseline and one year after starting to use CGM. Participants wearing the sensor for ≥60% of the time were considered as adherent. Results: The mean age of the 46 participants was 44.1 ± 15.0 years old and the mean glycohemoglobin (HbA1c) was 7.7 ± 1.0%; 60.9% of the participants were classified as adherent. The duration of using CSII was longer in the adherent group, and the degree of diabetic retinopathy was significantly different. There were no significant differences in age, frequency of self-monitoring of blood glucose, or Hypoglycemia Fear Survey (HFS-B for behavior, HFS-W for worry) score at baseline between the adherent and nonadherent groups. The Problem Areas in Diabetes (PAID) score at baseline was significantly higher and the total CSII-QOL score at baseline was significantly lower in the adherent group. The usage of dual-wave bolus was significantly increased in the adherent group (34.6%-61.5%, P = .016), but not in the nonadherent group (33.3%-33.3%, P > .999). The HbA1c level showed a significant improvement in the adherent group (7.8%-7.3%, P Conclusions: Higher adherence to CGM sensors may be associated with a heavier emotional burden of diabetes and a worse QOL in relation to CSII at baseline.

Details

ISSN :
19322968
Volume :
15
Issue :
5
Database :
OpenAIRE
Journal :
Journal of diabetes science and technology
Accession number :
edsair.doi.dedup.....912f2929dc57dc35c5aa0fdc2927f384