Background: Self-monitoring of blood glucose (SMBG) in noninsulin-treated type 2 diabetes patients (T2DM) is a controversial topic. We aimed to describe the SMBG prevalence in noninsulin-treated (NIT) T2DM patients in the Valencia Community (VC) and to analyze factors associated with their use.
Method: Cross-sectional study with 573 NIT-T2DM patients from 83 primary care surgeries. Electronic medical records and patient interview were used. We examine associations among patient, doctors and organizational characteristics, and the SMBG indication.
Results: 289 (50.4%) of the 573 NIT-T2DM patients used SMBG. In the multivariable analysis SMBG use was associated with age (OR:2.3 for 65-84 and 6.0 for <65 years vs 85+ years old)) the length from diagnosis (OR:2.2 for 10-15 years vs 0-5 years), the number of OAAs prescribed (OR:2.5, 4.1 and 5.7 for 1, 2 or 3+ OAAs vs no treatment with OAAs) and type (with more SMBG prescribed in patients with sulfonylureas and glitazones), glycated haemoglobin figures (OR: 1.9 y 1.6 for 7-8 and >8, vs <7), sedentary behaviour (OR:1.6), obesity (OR:1.5), and housewife status, and chronic respiratory disease antecedents (OR:0.5). After controlling these factors, SMBG use was also associated with the length of doctor's professional practice and some healthcare departments.
Conclusions: In the Valencia Community the SMBG use in noninsulin-treated T2DM patients is strongly associated with clinic patient' characteristics, but some non-clinical factors explain part of the variance in their utilization.
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http://dx.doi.org/10.4321/S1135-57272013000200005 | DOI Listing |
PLoS One
March 2025
Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Objective: Point-of-care testing (POCT) blood glucose meters provide rapid and convenient monitoring for clinical care and chronic disease management. However, their accuracy is often compromised by risks associated with personnel, equipment, and procedural inconsistencies. This study systematically assesses these risks using the Failure Mode and Effects Analysis (FMEA) method and proposes control measures aligned with ISO 15189:2022 standards.
View Article and Find Full Text PDFBMC Prim Care
March 2025
Center for Health Optimization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Objectives: To identify determinants of continuous glucose monitoring (CGM) implementation from primary care providers' (PCPs') perspectives and examine the associations of these determinants with both PCP intent to discuss CGM with eligible patients and facility-level uptake of CGM.
Study Design: Cross-sectional survey.
Methods: A survey about CGM implementation for patients with type 2 diabetes on insulin was distributed to all PCPs in the Department of Veterans Affairs (VA) health system from October 2023-April 2024.
Sci Rep
March 2025
Faculty of Arts and Sciences, Department of Mathematics, Near East University, 99138, Nicosia, Turkey.
The global prevalence of diabetes, a chronic condition that disrupts glucose homeostasis, is rapidly increasing. Patients with diabetes face heightened challenges due to the COVID-19 pandemic, which exacerbates symptoms associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In this study, we developed a mathematical model utilizing the Mittag-Leffler kernel in conjunction with a generalized fractal fractional operator to explore the complex dynamics of diabetes progression and control.
View Article and Find Full Text PDFJ Pediatr Endocrinol Metab
March 2025
Division of Pediatric Metabolism, Adnan Menderes University, Aydın, Türkiye.
Objectives: The primary goal in managing glycogen storage disorders (GSD) is to implement dietary therapy through regular glucose monitoring while attempting to prevent complications. Self-monitoring of blood glucose is often insufficient for detecting asymptomatic hypoglycemia in patients. Therefore, Continuous glucose monitoring systems (CGMS) play a crucial role in identifying hypoglycemic episodes and providing detailed glucose profiles throughout the day.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Xiangya School of Nursing, Central South University, Changsha, China.
Background: Patients with type 2 diabetes mellitus (T2DM) face elevated morbidity, mortality, and care costs. Digital self-monitoring of blood glucose (SMBG) can automatically upload data to apps, share the data with health care providers, reduce errors, and aid long-term diabetes management.
Objective: This study aimed to assess the effectiveness of digital diabetes management techniques based on digital SMBG on blood glucose in patients with T2DM at home.
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