Self-monitoring Of Blood Glucose Frequency Research Articles

Cost-utility of real-time continuous glucose monitoring versus self-monitoring of blood glucose in people with insulin-treated Type II diabetes in France.

Aim: Clinical trials and real-world data for Type II diabetes both show that glycated hemoglobin (HbA1c) levels and hypoglycemia occurrence can be reduced by real-time continuous glucose monitoring (rt-CGM) versus self-monitoring of blood glucose (SMBG). The present cost-utility study investigated the long-term health economic outcomes associated with using rt-CGM versus SMBG in people with insulin-treated Type II diabetes in France. Materials & methods: Effectiveness data were obtained from a real-world study, which showed rt-CGM reduced HbA1c by 0.56% (6.1mmol/mol) versus sustained SMBG. Analyses were conducted using the IQVIA Core Diabetes Model. A French payer perspective was adopted over a lifetime horizon for a cohort aged 64.5years with baseline HbA1c of 8.3% (67mmol/mol). A willingness-to-pay threshold of €147,093 was used, and future costs and outcomes were discounted at 4% annually. Results: The analysis projected quality-adjusted life expectancy was 8.50 quality-adjusted life years (QALYs) for rt-CGM versus 8.03QALYs for SMBG (difference: 0.47QALYs), while total mean lifetime costs were €93,978 for rt-CGM versus €82,834 for SMBG (difference: €11,144). This yielded an incremental cost-utility ratio (ICUR) of €23,772 per QALY gained for rt-CGM versus SMBG. Results were particularly sensitive to changes in the treatment effect (i.e., change in HbA1c), annual price and quality of life benefit associated with rt-CGM, SMBG frequency, baseline patient ageand complication costs. Conclusion: The use of rt-CGM is likely to be cost-effective versus SMBG for people with insulin-treated Type II diabetes in France.

Challenges in achieving adequate glycemic control among children with type 1 diabetes mellitus in a resource-limited setting: A cross-sectional study from Sudan

ObjectiveTo assess glycemic control and associated factors in children with type 1 diabetes mellitus (T1DM) attending the pediatric diabetes clinic in Wad-Madani City, Sudan. MethodsThis cross-sectional observational study was conducted at a referral center in Sudan. The study population consisted of children aged 1–18 years who had been diagnosed with T1DM for more than 1 year and were under regular follow-up in the clinic. Data on their glycemic control and sociodemographic and clinical characteristics were captured. ResultsOut of 211 enrolled patients, 120 (56.9 %) were females. The mean age was 11.7 years (SD = 4.0), with the mean age at diagnosis of 6.7 years (SD = 4.0). Only 6.2 % achieved adequate glycemic control. Adolescents had particularly poor control (97.8 %). The mean glycosylated hemoglobin (HBA1c) level was 10.4 % (90 mmol/mol). Inferior glycemic control was associated with advancing age, older age at diagnosis, belonging to single-parent households, less frequent self-monitoring of blood glucose (SMBG), and having a greater number of siblings or household members. A third of patients (33.8 %) had had one or more diabetes ketoacidosis (DKA) episodes in the previous year. There was a high prevalence of lipodystrophy (34.1 %) and arthropathy (25.1 %). ConclusionsAn exceptionally low proportion of children with T1DM achieved adequate glycemic control, with adolescents particularly struggling. SMBG frequency and family dynamics emerged as potential factors, highlighting the urgent need for tailored interventions and improved diabetes education in resource-limited settings.

Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study.

In recent years, technologies promoting the digitization of self-monitoring of blood glucose (SMBG) records including app-cloud cooperation systems have emerged. Studies combining these technological interventions with support from remote health care professionals have reported improvements in glycemic control. To assess the use of an app-cloud cooperation system linked with SMBG devices in clinical settings, we evaluated its effects on outpatient management of diabetes without remote health care professional support. In this multicenter, open-label, and single-armed prospective study, 48 patients with diabetes (including type 1 and type 2) at 3 hospitals in Japan treated with insulin or glucagon-like peptide 1 receptor agonists and performing SMBG used the app-cloud cooperation system for 24 weeks. The SMBG data were automatically uploaded to the cloud via the app. The patients could check their data, and their attending physicians reviewed the data through the cloud prior to the patients' regular visits. The primary outcome was changes in glycated hemoglobin (HbA1c) levels. Although HbA1c levels did not significantly change in all patients, the frequency of daily SMBG following applying the system was significantly increased before induction at 12 (0.60 per day, 95% CI 0.19-1.00; P=.002) and 24 weeks (0.43 per day, 95% CI 0.02-0.84; P=.04). In the subset of 21 patients whose antidiabetic medication had not been adjusted during the intervention period, a decrease in HbA1c level was observed at 12weeks (P=.02); however, this significant change disappeared at 24 weeks (P=.49). The Diabetes Treatment Satisfaction Questionnaire total score and "Q4: convenience" and "Q5: flexibility" scores significantly improved after using the system (all P<.05), and 72% (33/46) patients and 76% (35/46) physicians reported that the app-cloud cooperation system helped them adjust insulin doses. The digitization of SMBG records and sharing of the data by patients and attending physicians during face-to-face visits improved self-management in patients with diabetes. Japan Registry of Clinical Trials (jRCT) jRCTs042190057; https://jrct.niph.go.jp/en-latest-detail/jRCTs042190057.

Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus.

This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM). A 3-month, randomized, open-label, controlled, parallel-group trial was conducted. One hundred and ten participants with T2DM were randomized to a mobile message system (MMS) (n=55) or control group (n=55). The MMS group received protocolbased automated messages two times per day for 10 weeks regarding diabetes self-management through KakaoTalk SNS messenger. The primary outcome was the difference in the change in glycated hemoglobin (HbA1c) levels (%) from baseline to week 12. HbA1c levels were more markedly decreased in the MMS group (8.4%±0.7% to 8.0%±1.1%) than in the control group (8.5%±0.8% to 8.4%±0.8%), resulting in a significant between-group difference (P=0.027). No differences were observed in changes in fasting glucose levels, lipid profiles, and the number of participants who experienced hypoglycemia, or in changes in lifestyle behavior between groups. However, the self-monitoring of blood glucose frequency was significantly increased in the MMS group compared to the control group (P=0.003). In addition, sleep duration was increased in the MMS group, but was not changed in the control group. An SNS-based automatic mobile message providing system was effective in improving glycemic control in patients in T2DM. Studies which based on a more individualized protocol, and investigate longer beneficial effect and sustainability will be required in the future.

Association between frequency of self-monitoring of blood glucose and glycemic control in patients with type 2 diabetes

AimTo determine the association between the frequency of self-monitoring of blood glucose (SMBG) and glycemic control in patients with type 2 diabetes. MethodsThe retrospective study analyzed data from 3,630 patients with type 2 diabetes who were enrolled between August 2020 and July 2021. 2456 non-insulin-treated patients were divided into SMBG ≤ 6 times/week and > 6 times/week groups. 1174 insulin-treated patients were divided into SMBG ≤ 9 times/week and > 9 times/week groups. Propensity score matching was used to generate groups with well-balanced covariates. Primary outcomes were changes in fasting blood glucose (FBG) and postprandial blood glucose (PBG) from baseline to 6 months. ResultsIn the non-insulin-treated group, a comparison in FBG and PBG reduction between the SMBG > 6 times/week and ≤ 6 times/week groups was statistically significant (−0.59 vs. −0.18 mmol/l, P < 0.001; −0.91 vs. −0.36 mmol/l, P < 0.001). In the insulin-treated group, there was no statistically significant reduction in FBG or PBG, patients with baseline FBG > 8 or 9 mmol/l and SMBG > 9 times/week had a significant FBG reduction than the ≤ 9 times/week group. ConclusionFrequent SMBG was associated with better glycemic control in non-insulin-treated patients. Insulin-treated patients with poor glycemic control may benefit from frequent SMBG.

Determinants of Self-monitoring of Blood Glucose in Iranian Children and Adolescents with Type 1 Diabetes.

Type 1 diabetes mellitus (T1DM) is a prevalent chronic disease among children and adolescents, necessitating effective self-monitoring of blood glucose (SMBG) levels. Understanding the determinants and factors influencing SMBG behavior is crucial for optimizing diabetes management in this population. This study aimed to investigate the frequency of SMBG and identify the determinants influencing factors in children and adolescents with T1DM. This cross-sectional study was conducted in Tehran, Iran, and included 275 participants selected through simple random sampling from the Gabric Diabetes Education Association. The inclusion criteria comprised children and adolescents aged 3 - 18 years diagnosed with T1DM for at least 6 months who were using analog or neutral protamine Hagedorn (NPH) and regular insulin subcutaneously. Patients using insulin pumps were excluded. Data collection involved an online questionnaire covering demographic information (e.g., age, gender, educational status, and parental occupations) as well as clinical information (number of hypoglycemic episodes, hemoglobin A1C (HbA1C) levels, diabetes duration, insulin regimen, diabetes complications, glucose monitoring practices, hospitalizations, and behavioral characteristics). Statistical analyses, including descriptive statistics, correlation tests, and Poisson regressions, were performed using SPSS software (version 21). A significance level of P-value < 0.05 was considered statistically significant. The participants had a mean age of 10.00 ± 3.77 years, with 54.2% being males. Most of the participants (87.3%) were schoolchildren, and the mean age of diagnosis was 6.56 ± 3.73 years, with a mean duration of 44.72 ± 36.32 months. Anthropometric investigations revealed mean height, weight, and body mass index (BMI) values of 136.69 ± 21.11 cm, 37.45 ± 15.51 kg, and 18.31 ± 3.55 kg/m2, respectively. The majority of participants (93.5%) used insulin pens, and the mean daily insulin dosage was 35.34 ± 22.20 IU. Parents reported consistent glucose level monitoring in 64.7% of cases. The mean HbA1c level was 7.91 ± 1.58%. Factors such as the price and availability of glucometer strips influenced glucose level monitoring. In univariate analysis, only age and HbA1C levels showed a negative correlation; however, parents' consistent checking showed a positive correlation with the frequency of daily, weekly, or monthly glucose checking. This study underscores the significance of SMBG in children and adolescents with T1DM. The findings emphasize the critical role of price and availability of glucometers and strips in achieving standard care for T1DM patients.

Cost-utility of real-time continuous glucose monitoring versus self-monitoring of blood glucose in people with insulin-treated Type 2 diabetes in Canada.

Aim: Clinical trials and real-world data for Type 2 diabetes have shown that real-time continuous glucose monitoring (rt-CGM) lowers glycated hemoglobin (A1c) and reduces hypoglycemia relative to self-monitoring of blood glucose (SMBG). This analysis examined the long-term health and economic outcomes associated with using rt-CGM versus SMBG in people with insulin-treated Type 2 diabetes in Canada. Materials & methods: Clinical data were sourced from a real-world study, in which rt-CGM reduced A1C by 0.56% versus continued SMBG. The analysis was performed using the IQVIA Core Diabetes Model, from a Canadian payer perspective over a lifetime horizon for a cohort aged 65 years with an A1C of 8.3% at baseline. Future costs and clinical outcomes were discounted at 1.5% annually. Results: Projected total mean lifetime costs were CAD 207,466 for rt-CGM versus CAD 189,863 for SMBG (difference: CAD 17,602) and projected mean quality-adjusted life expectancy was 9.97 quality-adjusted life years (QALYs) for rt-CGM versus 9.02 QALYs for SMBG (difference: 0.95 QALYs), resulting in an incremental cost-utility ratio (ICUR) of CAD 18,523 per QALY gained for rt-CGM versus SMBG. Findings were sensitive to changes in the A1C treatment effect, annual cost and quality of life benefit associated with using rt-CGM, SMBG frequency, and baseline age, but ICURs remained below CAD 50,000 per QALY in all analyses. Conclusion: For people in Canada with insulin-treated Type 2 diabetes and poor glycemic control, use of rt-CGM is likely to be cost-effective relative to SMBG.

Portrait for Type 2 Diabetes with Goal-Achieved HbA1c Using Digital Diabetes Care Model: A Real-World 12-Month Study from China.

Our previous study demonstrated that digital diabetes care model (DDCM) created by multidisciplinary care team (MDCT) can improve glycemic control for patients with diabetes than usual care. Therefore, we aimed to explore long-term glycemic control with DDCM and influencing factors in type 2 diabetic cohort, in order to make a portrait for diabetes with goal-achieved HbA1c in clinics. A total of 1198 outpatients with type 2 diabetes using DDCM for at least 12 months were recruited as a cohort. Medical records and specific DDCM indexes were collected. The influencing factors for glycemic control were explored by multivariate logistic regression analysis, followed by an internal and external validation. A total of 887 patients were finally included. HbA1c target-achieving rate was increased from 39.83% at baseline to 71.79% after 3-month follow-up. A shorter duration of diabetes, more frequent self-monitoring of blood glucose, lower HbA1c level at baseline, and less frequent emergency out-of-hospital follow-ups were influencing factors for HbA1c <7% at 12-month follow-up. AUC of the prediction model was 0.790, with a sensitivity of 69.7% and specificity of 76.1%. Internal and external validation in patients using the DDCM monitored by MDCT indicated that the DDCM was robust (AUC =0.783 and 0.723, respectively). Our findings made a portrait for T2DM with goal-achieved HbA1c in our DDCM. It is important to recognize associated factors for health providers to make personalized intervention in clinical practice.

Current status and influential factors associated with adherence to self-monitoring of blood glucose with type 2 diabetes mellitus patients in grassroots communities: a cross-sectional survey based on information-motivation-behavior skills model in China.

Self-monitoring of blood glucose (SMBG) plays a vital role in the maintenance of blood glucose with type 2 diabetes mellitus(T2DM) and pre-diabetes patients. The study was intended to describe the current status of SMBG with T2DM and pre-diabetes patients in grassroots communities, explore the relationship between SMBG frequency and blood glucose level and apply information-motivation-behavior(IMB) model to analyze the potential influencing factors of SMBG compliance based on electronic questionnaires. A cross-sectional study was conducted with 1388 T2DM and pre-diabetes patients who completed electronic questionnaires composed of demographics and IMB model content. Chi-square test, Mann-Whitney U test and multivariable logistic regression model analysis were utilized to explore deeply causes of SMBG compliance. The results of this study showed that among 1388 T2DM patients, only 26.2% (363/1388) patients reached SMBG standard, indicating low compliance with SMBG. Given that SMBG is one of the individual predictors of type 2 risk in prediabetes patients, this result suggests that the SMBG compliance rate needs to be improved. Patients with fixed occupation (OR=1.989, P=0.035), BMI in normal range (OR=1.336, P=0.049), smoking habit(OR=1.492, P=0.019), understanding SMBG frequency (OR=1.825, P<0.001), understanding control goal of blood glucose (OR=1.414, P<0.001), knowing all the functions of the blood glucose meter (OR=1.923, P<0.001), buying a blood glucose meter/test paper conveniently(OR=2.329, P=0.047), taking supplementary measurement when forgetting blood glucose test(OR=2.044, P=0.005), rotating all the fingers when measuring blood glucose (OR=1.616, P<0.001) and less pain at the needling site(OR=2.114, P<0.001)were independently promoting factors of adherence to SMBG. However, the lack of accessibility and convenience of blood glucose meter or heavy financial burden were blocking factors ofadherence to SMBG. Moreover, there were still bottlenecks such as lack of health care knowledge and needle pricking pain. This study verified the practicability of applying IMB model to SMBG with T2DM and pre-diabetes patients. Adherence to SMBG still remained to improved, and putting more emphasis in improvement of individual information, motivation and behavioral skills with patients might be beneficial to maintain better adherence to SMBG in long-term routine of diabetes self-management.

982-P: Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile Application and the Cloud System on Glycemic Control and Self-Management in Outpatients with Diabetes

Objective: In this study, we evaluated the impact of an application-cloud cooperation system with feedback from the attending physician during face-to-face visits on outpatient management of diabetes. Research Design and Methods: In this multicenter, open-label, single-armed prospective study, 48 patients with diabetes treated with insulin or GLP-1 receptor agonists and performing self-monitoring of blood glucose (SMBG) at three medical centers in Japan used the Smart e-SMBG system, an application-cloud cooperation system, for 24 weeks. The SMBG data were automatically uploaded to the cloud via the application. The patients could check their data, and their attending physicians reviewed the data through the cloud prior to the patients’ regular visits. The primary outcome was changes in HbA1c levels. Results: While HbA1c levels did not change significantly in total patients, it significantly decreased at 12 weeks in 21 patients whose antidiabetic medication had not been adjusted during the intervention period (−0.26%, 95% confidence interval [CI], −0.47 to −0.05; p = 0.018). The frequency of SMBG was increased significantly at 12 weeks (+0.60/day, 95%CI, 0.19-1.00; p = 0.002) and 24 weeks (+0.43/day, 95%CI, 0.02-0.84; p = 0.039) compared to that before inducing the system. The Diabetes Treatment Satisfaction Questionnaire total score and “Q4; convenience” and “Q5; flexibility” scores significantly improved after using the Smart e-SMBG system, and 71.7% patients and 76.1% physicians reported that the Smart e-SMBG system helped them adjust insulin doses. Conclusions: Digitization of SMBG records and sharing of the results with attending physicians during face-to-face visits improved glycemic control and self-management in patients with diabetes. Disclosure T.Handa: None. T.Onoue: None. T.Kobayashi: None. R.Maeda: None. H.Arima: None.

Prevalence of Depression in Patients with Type 1 Diabetes between 10 and 17 Years of Age in Jordan.

The study was conducted by distributing the Center for Epidemiological Studies Depression Scale for Children (CES-DC) to adolescents with T1D seen at Jordan University Hospital between February 2019 and February 2020. Demographic, clinical, and socioeconomic data were collected using electronic clinical charts. Possible predictors of depression were assessed using logistic regression analysis. A total of 108 children were enrolled in the study with mean age of 13.7 ± 2.3 years. Fifty-eight children (53.7%) had a CES depression score less than 15, and 50 children (46.3%) had a depression score of 15 or more. The number of diabetes-related hospital admissions and the frequency of self-monitoring of blood glucose (SMBG) were significantly different between the two groups. In the multivariable analysis, both gender and SMBG frequency were statistically significant. Girls were more likely to have a depression score ≥ 15 (OR = 3.41, p = 0.025) than boys. Patients who were rarely testing blood glucose levels were more likely to have a depression score ≥ 15 compared to those who were testing regularly (OR = 36.57, p = 0.002). The prevalence of depressive symptoms is relatively high in adolescents with T1D, especially in those living in developing countries. Longer diabetes duration, higher glycated hemoglobin level, and less frequent blood glucose monitoring are associated with higher depression scores.

Supporting self-management in women with pre-existing diabetes in pregnancy: a protocol for a mixed-methods sequential comparative case study

IntroductionFor women with pre-existing type 1 and type 2 diabetes, glycaemic targets are narrow during the preconception and prenatal periods to optimise pregnancy outcomes. Women aim to achieve glycaemic targets...

High engagement in mobile peer support is associated with better glycemic control in type 1 diabetes: A real-world study.

Peer support for diabetes has become convenient and interactive after the emergence of mobile health (mHealth). We aimed to evaluate the association between engagement in peer support through the mHealth app and glycemic control in type 1 diabetes patients. This retrospective study included adults with type 1 diabetes who had joined the mobile community "TangTangQuan" since May 2018 for at least 1 year. "Like", "comment" and "share" were the major interaction indicators of the mobile community and were used to assess engagement in peer support. The patients were divided into four engagement groups by quartile. The primary outcome was the change in glycosylated hemoglobin (HbA1c ), mean fasting blood glucose (FBG) and postprandial blood glucose (PBG) from baseline to the 12th month. Other outcomes included the change of self-monitoring of blood glucose frequency, hypoglycemia frequency and the proportion of reaching optimal glycemic control. Among the 693 individuals, the HbA1c , mean FBG and PBG improved in the 12th month. Multiple regression analysis showed that higher engagement in peer support was associated with a greater reduction of HbA1c (β = -0.45, P < 0.001) and mean FBG (β = -0.82, P < 0.001). In the subgroup of poor glycemic control, the association between engagement in peer support and glycemic improvement still remained (HbA1c : β = -0.86, P = 0.002; FBG: β = -1.36, P = 0.001). The engagement in mobile peer support was positively correlated with educational level (odds ratio 1.42, P = 0.042), household income (odds ratio 1.43, P = 0.013) and the use of continuous subcutaneous insulin infusion (odds ratio 1.73, P = 0.009). High engagement in mobile peer support was associated with better glycemic control in adults with type 1 diabetes.

The Behavior of Self-Monitoring of Blood Glucose and Glycemic Control in Taiwanese Population

Self-monitoring of blood glucose (SMBG) is common in patients with diabetes. The aim of this study was to explore how frequency/behavior of SMBG affect glucose control in patients with type 2 diabetes. This cross-sectional study was conducted at a regional teaching hospital in Taiwan. All participants completed a structured questionnaire about the frequency and behavior of SMBG, and hemoglobulin A1C (A1C) data were recorded from medical records. A total of 382 diabetes outpatients participated in the study. In the patients using insulin injections, A1C was better in patients with SMBG ≥ 28 times than in those with SMBG &lt; 28 times per month (7.82 ± 1.86% vs. 8.33 ± 1.31%, p = 0.025). In the patients not using insulin, A1C was better in patients with SMBG &gt; 14 times than those with SMBG ≤ 14 times per month (7.08 ± 0.23% vs. 7.55 ± 0.08%, p = 0.038). The patients who more frequently reviewed the causes of hypoglycemia and hyperglycemia had a better A1C level (p for linear trend &lt;0.001). Our study suggested that SMBG ≥ 28 and &gt;14 times could improve glycemic control for insulin-requiring and non-insulin-requiring type 2 diabetes patients, respectively. Further exploration of the cause of hyperglycemia or hypoglycemia shown by SMBG could also improve blood glucose control.

IDF21-0488 A comparison of healthy lifestyles between pregnant women with gestational diabetes and pre-existing type 2 diabetes

Background: Pregnant women with diabetes, have to make important changes in their lifestyle in order to maintain normal values of blood glucose. Hyperglycemia during pregnancy could have adverse effects on both the mother and the fetus. A healthy balanced diet, moderate physical activity and frequent self-monitoring of blood glucose are essential elements of successful diabetes management during pregnancy.

Perceived value of self-monitoring blood glucose by primary care physicians and endocrinologists

The value of self-monitoring blood glucose (SMBG) in patients with non–insulin-treated type 2 diabetes (NITT2DM) has been debated; however, the practice remains common. Patient perception of SMBG has been documented in several qualitative studies. However, the literature is lacking on the perceived value of SMBG by providers. This study used a structured questionnaire to evaluate and compare the perceived value, recommended frequency, and utility of SMBG in patients with NITT2DM by primary care providers (PCPs) and endocrinologists. A total of 70 PCPs and 14 endocrinologists completed the questionnaire. The results suggest that PCPs and endocrinologists find the practice of SMBG valuable in NITT2DM and believe it promotes behavioral changes in their patients. However, endocrinologists tend to recommend more frequent SMBG and find SMBG values more useful in making medication decisions. Conversely, PCPs tend to find the hemoglobin A1c more valuable than SMBG in making medication adjustments.

Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study.

BackgroundFor adolescents living with type 1 diabetes (T1D), completion of multiple daily self-management tasks, such as monitoring blood glucose and administering insulin, can be challenging because of psychosocial and contextual barriers. These barriers are hard to assess accurately and specifically by using traditional retrospective recall. Ecological momentary assessment (EMA) uses mobile technologies to assess the contexts, subjective experiences, and psychosocial processes that surround self-management decision-making in daily life. However, the rich data generated via EMA have not been frequently examined in T1D or integrated with machine learning analytic approaches.ObjectiveThe goal of this study is to develop a machine learning algorithm to predict the risk of missed self-management in young adults with T1D. To achieve this goal, we train and compare a number of machine learning models through a learned filtering architecture to explore the extent to which EMA data were associated with the completion of two self-management behaviors: mealtime self-monitoring of blood glucose (SMBG) and insulin administration.MethodsWe analyzed data from a randomized controlled pilot study using machine learning–based filtering architecture to investigate whether novel information related to contextual, psychosocial, and time-related factors (ie, time of day) relate to self-management. We combined EMA-collected contextual and insulin variables via the MyDay mobile app with Bluetooth blood glucose data to construct machine learning classifiers that predicted the 2 self-management behaviors of interest.ResultsWith 1231 day-level SMBG frequency counts for 45 participants, demographic variables and time-related variables were able to predict whether daily SMBG was below the clinical threshold of 4 times a day. Using the 1869 data points derived from app-based EMA data of 31 participants, our learned filtering architecture method was able to infer nonadherence events with high accuracy and precision. Although the recall score is low, there is high confidence that the nonadherence events identified by the model are truly nonadherent.ConclusionsCombining EMA data with machine learning methods showed promise in the relationship with risk for nonadherence. The next steps include collecting larger data sets that would more effectively power a classifier that can be deployed to infer individual behavior. Improvements in individual self-management insights, behavioral risk predictions, enhanced clinical decision-making, and just-in-time patient support in diabetes could result from this type of approach.

Association between self-monitoring of blood glucose and hepatitis B virus infection among people with diabetes mellitus: a cross-sectional study in Gansu Province, China

ObjectiveThe purpose was to explore the association between self-monitoring of blood glucose (SMBG) and hepatitis B virus (HBV) infection among people with diabetes.DesignA cross-sectional comparative study.SettingSix township hospitals in Gansu...

Важность самоконтроля гликемии в лечении сахарного диабета в условиях современности

Diabetes mellitus is a chronic disorder associated with microvasular and macrovascular complications, the prevention of which is an important challenge of modern medicine. Contemporary methods for diabetes management rely on the active involvement of the patient. Self-monitoring of blood glucose (SMBG) provides the basis for efficient antihyperglycemic therapy and prevention of hypoglycemia, as well as for the improvement of patient adherence to treatment. The importance of SMBG has further increased during the COVID-19 pandemic, since the adequate glycemic control can reduce the risk of COVID-19 infection and the disease severity in patients with DM. The recommended frequency of SMBG in patients with DM is discussed. A variety of glucose meters are available for measurement of blood glucose. Compliance with accuracy standards, simplicity and convenience for patients are the important criteria for selecting the glucose meter.

Distinct associations of self-monitoring of blood glucose with glycemic control and hypoglycemia between groups of recently diagnosed and long-term follow-up type 2 diabetes: The Taiwan Diabetes Registry.

We investigated the uses and frequency of self-monitoring of blood glucose (SMBG) with glycemic control and hypoglycemia in two groups of type 2 diabetes (T2D) (recently diagnosed and long-term follow-up) using real-world data in Taiwan (the Taiwan Diabetes Registry). Patients with T2D recently diagnosed within 6months (n=3297, mean age 54.4±13.9years) and T2D patients with long-term follow-up (n=1201, mean age 65.5±12.1years, mean diabetes duration 14.3±7.8years) from the Taiwan Diabetes Registry were analysed. All patients were interviewed by certified diabetes educators. Information about SMBG and hypoglycemia was recorded. Demography, personal history, and laboratory data were obtained from electronic medical records. Logistic regression analyses were used to examine the associations of SMBG with glycated haemoglobin (HbA1c) <7% and hypoglycemia. Mean HbA1c values were 8.4±2.5 and 7.6±1.4%, respectively, in the recently diagnosed and long-term follow-up T2D groups. The self-reported rates of hypoglycemic events within 3months were 10.5% and 19.0%, respectively. SMBG was associated with higher odds of HbA1c <7% (OR 1.21, 95% CI 1.01-1.44) in patients with recently diagnosed T2D, but with lower odds of HbA1c <7% in T2D patients with long-term follow-up (OR 0.60, 95% CI 0.44-0.82). In both study populations, SMBG was independently associated with hypoglycemia (OR 3.90 [95% CI 2.99-5.08] and OR 3.93 [95% CI 2.73-5.66], respectively). The aforementioned findings were consistent across the strata of SMBG frequency. We reported different associations between SMBG and glycemic control in patients recently diagnosed with T2D and in T2D patients with long-term follow-up. SMBG was associated with higher detection of hypoglycemic episodes in both study populations.