Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes

Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial

PURPOSE

Smartphones have received increasing attention and achieved positive outcomes in diabetes intervention. The widespread use of WeChat in China provides an opportunity for self-management practices in patients with diabetes. Nevertheless, how to combine the strengths of the WeChat platform with traditional medical strategy remains to be explored. This study aimed to evaluate the efficacy of a novel flash glucose monitoring device combined with the WeChat platform in juvenile type 1 diabetes management.

PATIENTS AND METHODS

A total of 60 juvenile patients with type 1 diabetes were randomly assigned into three groups: a blood glucose self-monitoring group (group A), a flash glucose monitoring (group B), and a flash glucose monitoring combined WeChat-interactive management group (group C). The intergroup differences in demographics, biochemical indicators, and questionnaire scores of the Diabetes Monitoring and Treatment Satisfaction Questionnaire and Diabetes Specific Quality of Life assessment were compared at the baseline and after 6 months.

RESULTS

After the 6-month intervention, groups B and C showed significantly lower glycated hemoglobin A1c (HbA1c) levels compared to those observed at baseline (both P <0.05), with the largest decrease observed in group C (group B vs group C, P =0.04). Hypoglycemic episodes per month decreased from baseline in groups B and C (both P <0.05) and were more significant in group C (P <0.001). In addition, the DMTSQ scores increased in the 6th month in all groups (all P <0.05), and the largest rise in scores was found in group C, followed by groups B and A. The DQOL scores in groups B and C decreased significantly from the baseline (both P <0.05), with no change in group A.

CONCLUSION

Flash glucose monitoring combined with the WeChat-interactive system may help achieve sustained glycemic control and higher satisfaction in patients with juvenile type 1 diabetes.

TRIAL REGISTRATION

This study was registered at chictr.org.cn, number ChiCTR1900025495. Registered 29 August 2019.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Assessment of self-monitoring of blood glucose in type 1 diabetic children and adolescents and its influence on quality of life: practice and perspective

Background

Self-monitoring blood glucose (SMBG) includes an assessment of the capillary glucose concentration as well as the interpretation of and responding to the readings. The purpose of this study was to assess patients’ compliance to self-monitoring blood glucose (SMBG), identify factors and barriers that affect it, and to correlate performance of SMBG to blood glucose monitoring and patients’ quality of life. Three hundred and thirty children and adolescents with type 1 diabetes were subjected to the following: (1) an interview pre-structured questionnaire which included personal, medical history, and details about SMBG; (2) Questionnaire about Quality of Life Index (Diabetes Version-III) by Ferrans and Powers for patients aging 10–16 years; and (3) glycated hemoglobin (HA1C) measurement.

Results

About 67% of the patients assessed their blood glucose 3 times per day, while 0.57% assessed blood glucose 7 times. The most influential factors affecting compliance of SMBG were the cost of strips and glucometers, the fear of pain and injection, psychological frustration, lack of availability of information to deal with high reading, and the absence of motivation for doing regular SMBG.

The more the frequency of SMBG daily, the better the HA1C of the patients (p < 0.01).

Adolescent patients aged 10–16 years who have more frequent SMBG and those with less HA1C have significant better quality of life (p < 0.05).

Conclusions

More frequent SMBG practice was associated with better glycemic control and better quality of life. Patients’ compliance is influenced by several factors which affect their frequency of SMBG.

DiaSHoT18: A cross-sectional national health and well-being survey of university students with type 1 diabetes

OBJECTIVE

To achieve a better understanding in how university students live with and are able to manage their type 1 diabetes (T1D).

METHODS

In 2018, all fulltime Norwegian students aged 18 to 35 years pursuing higher education were invited into a national survey, which included data on demographics and health. In all, 162 512 students fulfilled these inclusion criteria. Students that stated having diabetes were asked to answer further questions about their diabetes care.

RESULTS

We included data from 50 054 students responding to the survey, and identified 324 students with T1D (64% females, mean age 23 years, mean HbA1c 7.65% [60 mmol/mol]). Male students had a lower HbA1c (7.28% vs 7.86%, 56 vs 62 mmol/mol), reached an HbA1c of <7.5% (58 mol/mol) more often (62.2% vs 44.2%) and were using continuous glucose measurement (CGM) less often (19.5% vs 36.7%). Exercise and smoking habits in students with T1D were equal to the non-diabetic group. More students with T1D were overweight or obese (44.1% vs 32.2%). Students who achieved an HbA1c <7.5% (58 mmol/mol) measured their blood sugar more often, had a lower body-mass index, exercised more and were smoking less. An HbA1c >7.5% (58 mmol/mol) was associated with less activity, more overweight or obesity, and smoking. The use of continuous subcutaneous insulin infusion and CGM was not associated with a better metabolic control.

CONCLUSIONS

These data have implications for the follow-up of adolescents and young adults, showing the need to focus on general lifestyle habits, especially in female subjects, whereas the use of technical devices might be of secondary importance.

Cutaneous adverse events in a randomized controlled trial of flash glucose monitoring among youth with type 1 diabetes mellitus

BACKGROUND

The literature regarding flash glucose monitoring (FGM)-associated cutaneous adverse events (AE) is limited.

OBJECTIVES

This study among youth participating in a 6 month randomized controlled trial aimed to compare cutaneous AE between FGM and self-monitored blood glucose (SMBG) use and evaluate premature FGM sensor loss.

METHODS

Patients aged 13 to 20 years with type 1 diabetes were randomized to intervention (FGM and usual care) or control (SMBG and usual care). Participants self-reported cutaneous AEs electronically every 14 days. Reports were analyzed to determine frequency, type, and severity of cutaneous AEs, and evaluate premature sensor loss.

RESULTS

Sixty-four participants were recruited; 33 randomized to FGM and 31 to control. In total, 80 cutaneous AEs were reported (40 in each group); however, the proportion of participants experiencing cutaneous AEs was greater in the FGM group compared to control (58% and 23% respectively, P = .004). FGM participants most frequently reported erythema (50% of AEs), while controls most commonly reported skin hardening (60% of AEs). For FGM users, 80.0% of cutaneous AEs were mild, 17.5% moderate, and 2.5% severe. Among controls, 82.5% of cutaneous AEs were mild and 17.5% moderate. One participant ceased using FGM due to recurring cutaneous AEs. Additionally, over 6 months, 82% of FGM participants experienced at least one premature sensor loss, largely unrelated to a cutaneous AE.

CONCLUSIONS

Cutaneous FGM-associated AEs are common, and mostly rated as mild. However, the majority of users continued FGM despite cutaneous AEs. Awareness of cutaneous complications and mitigation measures may reduce cutaneous AEs and improve the overall experience of FGM.

Glycemic Status Assessment by the Latest Glucose Monitoring Technologies

The advanced and performing technologies of glucose monitoring systems provide a large amount of glucose data that needs to be properly read and interpreted by the diabetology team in order to make therapeutic decisions as close as possible to the patient's metabolic needs. For this purpose, new parameters have been developed, to allow a more integrated reading and interpretation of data by clinical professionals. The new challenge for the diabetes community consists of promoting an integrated and homogeneous reading, as well as interpretation of glucose monitoring data also by the patient himself. The purpose of this review is to offer an overview of the glycemic status assessment, opened by the current data management provided by latest glucose monitoring technologies. Furthermore, the applicability and personalization of the different glycemic monitoring devices used in specific insulin-treated diabetes mellitus patient populations will be evaluated.

Patient Satisfaction and Clinical Efficacy of Novel Blood Glucose Meters Featuring Color Range Indicators in Patients With Type 2 Diabetes: A Prospective Study

Introduction Self-monitoring of blood glucose (SMBG) plays an important role in diabetes management. The Contour®Next One glucometer is a recent glucometer that delivers blood glucose results by an immediate color indicator to aware users when blood glucose is at a critical high or low. The main purpose of the study was to assess the impact of an application of a blood glucose meter (BGM) having a color range indicator on clinical characteristics and glucose monitoring satisfaction (GMS) among patients having type 2 diabetes (T2D). Methods A total of 85 (male 42 and female 43) patients with T2D were switched to a BGM having smartLIGHT™ target range indicator (blood glucose meters featuring color range indicator) using Contour®Next One glucometer. Demographic data, as well as glycemic control, were collected at baseline and 12 weeks. At the time of the baseline and 12 weeks of the study, a trained interviewer gave the GMS survey questionnaire to every patient in order to collect the glucose monitoring satisfaction. In addition to GMS, a patient's perceptions of smartLIGHT™ feature satisfaction survey responses were also collected from the patients at the end of the study (12 weeks). Results Compared to baseline, a significant improvement was observed in the subdomains of glucose monitoring satisfaction survey (GMSS) score on openness (p=0.0001), emotional burden (p=0.0001), behavioral burden (p=0.0001), and trust (p=0.0001) at the end of the study. Overall, the total GMS score at baseline was 2.61 ± 0.51, which improved up to 3.16 ± 0.63 (p=0.0001) during the period of 12 weeks. The patient satisfaction with smartLIGHT™ survey outcomes exposed evidence of satisfaction among the study population at the end of the study. There were statistically insignificant reductions observed in glycosylated hemoglobin (HbA1c) (p=0.063) and the frequency of hypoglycemia (p=0.057) at the end of the study. Conclusions The study demonstrates a significant improvement in the subdomains of GMSS - openness, emotional burden, behavioral burden, and trust - at 12 weeks than at the baseline, with the increased total GMSS score. Similarly, high satisfaction with the color-based smartLIGHT™ feature was also observed at the end of the study.

Type 1 diabetes management and outcomes: A multicenter study in Thailand

Aims/Introduction

The Thai Type 1 Diabetes and Diabetes Diagnosed Before Age 30 Years Registry, Care and Network was established in 2014 and involved 31 hospitals. The objective of the registry was to evaluate glycemic control and complications of patients with type 1 diabetes.

Materials and Methods

Patients’ demographics, clinical data, frequencies of daily self‐monitoring of blood glucose (SMBG), glycemic control and complications were collected.

Results

Among the 1,907 type 1 diabetes patients, the mean age was 21.2 ± 11.3 years. The mean glycated hemoglobin level was 9.35 ± 2.41%, with significant variations among age groups (P < 0.001). Conventional insulin treatment and intensive insulin treatment were used in 43 and 57% of patients, respectively. Mean glycated hemoglobin levels were significantly higher in patients treated with conventional insulin treatment compared to those treated with intensive insulin treatment (9.63 ± 2.34 vs 9.17 ± 2.46%, P = 0.002). Compared to the conventional insulin treatment group, significantly more patients in the intensive insulin treatment group achieved good glycemic control (P < 0.001), and fewer had diabetic retinopathy (P = 0.031). The prevalence of microvascular complications increased significantly with age (P < 0.001). Multivariate analysis showed good glycemic control to be associated with age 25 to <45 years, intensive insulin treatment with SMBG three or more times daily and diabetes duration of 1 to <5 years.

Conclusions

Most Thai type 1 diabetes patients were not meeting the recommended glycemic target. As a result of this study, the national program to improve the quality of diabetes treatment and education has been implemented, and the results are ongoing.

Effect of 6 Months of Flash Glucose Monitoring in Youth With Type 1 Diabetes and High-Risk Glycemic Control: A Randomized Controlled Trial

OBJECTIVE

To investigate whether intermittently scanned continuous glucose monitoring (isCGM) significantly improves glycemic control compared with capillary self-monitored blood glucose (SMBG) in youth with type 1 diabetes and high-risk glycemic control.

RESEARCH DESIGN AND METHODS

This multicenter 6-month randomized, controlled, parallel-arm trial included 64 participants aged 13-20 years with established type 1 diabetes and glycated hemoglobin (HbA_1c) ≥9% (≥75 mmol/mol). Participants were allocated to 6-month intervention (isCGM; FreeStyle Libre; Abbott Diabetes Care, Witney, U.K.) (n = 33) or control (SMBG; n = 31) using minimization. The primary outcome was the difference in change in HbA_1c from baseline to 6 months.

RESULTS

There was no evidence of a difference between groups for changes in HbA_1c at 6 months (adjusted mean 0.2% greater improvement for isCGM [95% CI -0.9 to 0.5] [-2.1 mmol/mol (95% CI -9.6 to 5.4)]; P = 0.576). However, glucose-monitoring frequency was 2.83 (95% CI 1.72-4.65; P < 0.001) times higher in the isCGM group compared with that in the SMBG group at 6 months. The change in the Diabetes Treatment Satisfaction Questionnaire mean item score also favored isCGM at 6 months (P = 0.048), with no significant differences between groups for fear of hypoglycemia and quality of life (both general and diabetes specific) (all P > 0.1).

CONCLUSIONS

For youth with high-risk glycemic control, isCGM led to improvements in glucose testing frequency and diabetes treatment satisfaction. However, these did not translate to greater improvement in glycemic control over usual care with SMBG at 6 months.

Time spent in target range assessed by self-monitoring blood glucose associates with glycated hemoglobin in insulin treated patients with diabetes

BACKGROUND AND AIMS

Self-monitoring blood glucose (SMBG) remains a widespread tool to monitor blood glucose. The development of diabetes management systems (DMS) allows SMBG to provide additional information as time spent in target range (TIR). This study evaluates the association between HbA1c and TIR, evaluated through DMS, over 2 months, and 2 weeks.

METHODS AND RESULTS

Type 1 (T1D) and Type 2 (T2D) insulin-treated patients with diabetes were enrolled. We used the term PIR (Points in Range) instead of TIR, since SMBG provides point-in-time glucose values rather than a continuous trend over time. PIR was calculated in 2-month and 2-week time ranges before available HbA1c measurement. One-hundred ninety-seven patients with T1D and 36 with T2D were recruited. HbA1c and PIR were inversely associated (2 months: R -0.72, 2 weeks R -0.70; p < 0.0001) in all subjects. The relationship did not change when T1D and T2D patients were analyzed separately. For every 10% change of PIR, there was a change of HbA1c by 0.4%.

CONCLUSIONS

Our study, for the first time, demonstrates a significant correlation between HbA1c and PIR calculated by DMS. DMS offers additional information useful in disease management of patients with T1D and T2D performing SMBG.

Current status of continuous glucose monitoring among Korean children and adolescents with type 1 diabetes mellitus

Type 1 diabetes mellitus (T1DM) requires life-long insulin therapy because of diminished insulin-secretion capability. Glycemic control and glucose monitoring are important to prevent T1DM complications. Continuous glucose monitoring (CGM) measures glucose level, every one to five minutes, in the interstitial fluid from a subcutaneous sensor and facilitates better glycemic control, reduces hypoglycemia, and is safely used in the pediatric population. CGM can be categorized as retrospective, real-time, or intermittently scanned CGM, and all forms are available in Korea. The CGM device has 3 components: sensor, transmitter, and monitor/receiver. Key metrics of CGM include days of CGM application, percentage of time with CGM, mean glucose, glucose management indicator, glycemic variability, and use of Ambulatory Glucose Profile for CGM reports. CGM sensors and transmitters have been partly reimbursed by the Korean National Health Insurance Service (NHIS) since 2019, and 1,434 T1DM patients (male, 40.8%; age <20 years, 52.4%) in Korea were prescribed CGM as of December 2019. In Korea, the number of CGM users will increase due to reimbursement for CGM sensors and transmitters by the NHIS. Successful CGM use requires long-term policies to establish diabetes education and financial assistance. Clinicians should become well-acquainted with interpretation of CGM data and information updates to facilitate integration of CGM data into clinical practice among pediatric T1DM patients.

Exploring Parental Experiences of Using a Do-It-Yourself Solution for Continuous Glucose Monitoring Among Children and Adolescents With Type 1 Diabetes: A Qualitative Study

BACKGROUND

MiaoMiao (MM) is a Bluetooth transmitter, which when paired with a smart phone/device, converts the Abbott FreeStyle Libre flash glucose monitoring system into a Do-It-Yourself (DIY) continuous glucose monitor (CGM). Families are increasingly adopting DIY CGM solutions, but little is known about parent and child experiences with these add-on technologies. We aimed to explore experiences of families using MM-CGM including challenges faced and their advice to others who may choose to use the technology.

METHODS

Between May and July 2019, we conducted 12 semistructured interviews (in person or via video conference) with parents of children (aged ≤16 years) with type 1 diabetes using MM-CGM. Interviews were audio recorded; professionally transcribed and key themes were identified through thematic analysis.

RESULTS

Overall, parents used MM-CGM to proactively manage their child's blood glucose. In all participants, this led to a perceived decrease in frequency of hypoglycemia. Participants reported that the visibility and easy access to blood glucose readings, glucose trends, and customized alarms on parent's phones decreased their disease burden and improved their sleep quality. Common barriers to using MM-CGM included difficulty of the setting up process, connectivity issues, and lack of support from medical teams.

CONCLUSION

This study highlights the potential feasibility of using a DIY CGM system like MM-CGM, which could be an empowering and cost-effective tool for enabling remote monitoring of blood glucose in real time.

Technology Integration: The Role of the Diabetes Care and Education Specialist in Practice

Purpose

Technology is rapidly evolving and has become an integral component of diabetes care. People with diabetes and clinicians are harnessing a variety of technologies, including connected blood glucose meters, continuous glucose monitors, insulin pumps, automated insulin delivery systems, data-sharing platforms, telehealth, remote monitoring, and smartphone mobile applications to improve clinical outcomes and quality of life. Although diabetes technology use is associated with improved outcomes, this is enhanced when the person using it is knowledgeable and actively engaged; simply wearing the device or downloading an app may not automatically translate into health benefits. The diabetes care and education specialist (DCES) has a central role in defining and establishing a technology-enabled practice setting that is efficient and sustainable. The purpose of this article is to describe the role of the DCES in technology implementation and to demonstrate the value of diabetes technology in both the care of the individual and as a tool to support population-level health improvements.

Conclusion

By following the recommendations in this article, DCESs can serve as technology champions in their respective practices and work to reduce therapeutic inertia while improving health outcomes and providing patient-centered care for the populations they serve.

Factors associated with glycemic control in type 1 diabetes patients in China: A cross-sectional study

Aims/Introduction

Glycemic control in type 1 diabetes can be challenging, and is influenced by many factors. This study aimed to investigate glycemic control and its associated factors in Chinese people with type 1 diabetes.

Materials and Methods

This cross‐sectional study included 779 participants with type 1 diabetes selected from hospital records review, outpatient clinics and inpatient wards. Data were collected through face‐to‐face interviews, medical records and venous blood samples. Multiple logistic regression analysis was carried out to determine factors associated with glycemic control.

Results

Among 779 participants, 49.2% were male. The median age was 24 years (interquartile range 14–36 years). The median age at diagnosis of diabetes was 17 years (interquartile range 10–28 years) and the median duration of diabetes was 4 years (interquartile range 1–8 years). The mean ± standard deviation hemoglobin A1c was 9.1 ± 2.5%. Nearly 80% of participants had inadequate glycemic control (hemoglobin A1c ≥7.0%). Multivariable analysis showed that age at diagnosis of diabetes ≤20 years, living in a rural location, low household income, low intake of fruit and vegetables, low level of physical activity, low adherence to insulin, and low utilization of insulin pump were independent risk factors for poor glycemic control (hemoglobin A1c ≥9.0%).

Conclusions

Inadequate glycaemic control is common among people with type 1 diabetes in China. Efforts should be made to control the modifiable risk factors, which include low intake of fruit and vegetables, low level of physical activity, and low adherence to insulin for the improvement of glycemic control. Appropriate use of insulin pump among type 1 diabetes should be encouraged.

Factors associated with glycaemic control in adults with Type 1 diabetes: a registry-based analysis including 7601 individuals from 34 centres in Norway

AIMS

To use data from the Norwegian Diabetes Registry for Adults and Statistics Norway to assess factors associated with glycaemic control in type 1 diabetes.

METHODS

The analyses included all individuals aged ≥18 years who had a type 1 diabetes duration of >2 years and a recorded value in the registry between 2013 and 2015 (n=7601). Predicted mean HbA_1c levels for subgroups of participants were assessed using linear regression analysis.

RESULTS

Young age (18-25 years), low education levels, smoking, living alone, exercising infrequently, monitoring glucose infrequently, high insulin requirements, low frequency of symptomatic hypoglycaemia, history of ketoacidosis and a BMI <18.5 kg/m² were associated with a 2-12-mmol/mol (0.2-1.1%) higher HbA_1c level. Those with 10-15 years of diabetes duration had 5-mmol/mol (0.5%) higher HbA_1c level than those who had a diabetes duration of 2-5 years. Sex, participation (ever) in a diabetes education course, or ever experiencing serious hypoglycaemia were not associated with glycaemic control.

CONCLUSIONS

We present representative national data on factors that were associated with glycaemic control. A better understanding and awareness of these factors, together with technological advances in diabetes management, could lead to more personalized management strategies, better glycaemic control and a lower risk of diabetes complications.

Systematic Review of Randomized Controlled Trials Evaluating Glycemic Efficacy and Patient Satisfaction of Intermittent-Scanned Continuous Glucose Monitoring in Patients with Diabetes

Introduction: Intermittent-scanned continuous glucose monitoring (isCGM) has the ability to allow for greater personalization of diabetes self-management. The purpose of this systematic review is to provide an updated analysis of the efficacy and patient satisfaction of isCGM in patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Methods: A research librarian searched PubMed, EMBASE, and Cochrane Library using keywords and subject headings to identify studies assessing efficacy and use of isCGMs in patients with T1DM and T2DM. Results: Nine randomized controlled trials (RCTs) involving patients with T1DM and T2DM using isCGM were included. Based on available RCT evidence investigating isCGM in patients with diabetes, isCGM may lead to a small decrease hemoglobin A1c (HbA1c) in certain subgroups of patients with uncontrolled T2DM (those using multiple daily insulin injections and aged 65 years or younger). Patients with uncontrolled T1DM using insulin may also benefit from isCGM, when combined with a structured diabetes education program. Evidence is mixed regarding isCGM impact on improving time in glycemic range, glycemic variability, and hypoglycemia. isCGM has demonstrated greater patient satisfaction and lower diabetes distress compared with usual care. Conclusions: isCGM may lead to improvements in HbA1c in certain subgroups of patients. Additional benefit with isCGM on time in glycemic range, glycemic variability, and hypoglycemia is unclear at this time. Future clinical trials are warranted to investigate the role of isCGM in patients with uncontrolled T2DM using insulin and oral antidiabetic drugs.

Text Message Intervention for Teens with Type 1 Diabetes Preserves HbA1c: Results of a Randomized Controlled Trial

Aims: Teens with type 1 diabetes (T1D) often struggle with diabetes self-management, which may lead to suboptimal self-care and worsening hemoglobin A1c (HbA1c). Innovative strategies are needed to improve self-care and protect against glycemic decline, especially during adolescence. We aimed to assess the impact on HbA1c of two interventions, problem-solving and text messaging, in teens with T1D. Methods: In a two-site randomized controlled trial, teens (N = 301) 13-17 years of age with T1D were randomized to one of the four groups using a 2 × 2 factorial design: Teenwork (TW), Text Messaging (Text), TW+Text, or Usual Care. TW intervention included problem-solving aimed at improving T1D self-care for blood glucose (BG) monitoring and insulin bolus dosing. Text intervention involved text reminders to check BG. The primary outcome was change in HbA1c from baseline to 12 months. Results: At baseline, teens (51% female, 78% white, 59% pump-treated) were (mean ± SD) 15.0 ± 1.3 years, had diabetes duration of 6.5 ± 3.7 years, and HbA1c 8.5% ± 1.1%. There was no significant difference in HbA1c over time by study group. Responsiveness to text reminders by teens in the TEXT and TW+TEXT predicted glycemic benefit; TW did not. Conclusions: Despite no HbA1c difference by study group, greater response to text message reminders to check BG led to better glycemic control and no deterioration in HbA1c; the problem-solving intervention did not. Given the high penetration of mobile phones and the wide acceptance of text messaging among teens in general, it is encouraging that a text messaging intervention can preserve HbA1c, thus preventing the expected deterioration in glycemic control often seen in teens with T1D.

Making sense of blood glucose data and self-management in individuals with type 2 diabetes mellitus: A qualitative study

AIMS AND OBJECTIVES

To describe individuals' with type 2 diabetes mellitus sense-making of blood glucose data and other influences impacting self-management behaviour.

BACKGROUND

Type 2 diabetes mellitus prevalence is increasing globally. Adherence to effective diabetes self-management regimens is an ongoing healthcare challenge. Examining individuals' sense-making processes can advance staff knowledge of and improve diabetes self-management behaviour.

DESIGN

A qualitative exploratory design examining how individuals make sense of blood glucose data and symptoms, and the influence on self-management decisions.

METHODS

Sixteen one-on-one interviews with adults diagnosed with type 2 diabetes mellitus using a semi-structured interview guide were conducted from March-May 2018. An inductive-deductive thematic analysis of data using the Sensemaking Framework for Chronic Disease Self-Management was used. The consolidated criteria for reporting qualitative research (COREQ) checklist were used in completing this paper.

RESULTS

Three main themes described participants' type 2 diabetes mellitus sense-making and influences on self-management decisions: classifying blood glucose data, building mental models and making self-management decisions. Participants classified glucose levels based on prior personal experiences. Participants learned about diabetes from classes, personal experience, health information technology and their social network. Seven participants expressed a need for periodic refreshing of diabetes knowledge.

CONCLUSION

Individuals use self-monitored glucose values and/or HbA1C values to evaluate glucose control. When using glucose values, they analyse the context in which the value was obtained through the lens of personal parameters and expectations. Understanding how individuals make sense of glycaemic data and influences on diabetes self-management behaviour with periodic reassessment of this understanding can guide the healthcare team in optimising collaborative individualised care plans.

RELEVANCE TO CLINICAL PRACTICE

Nurses must assess sense-making processes in self-management decisions. Periodic "refresher" diabetes education may be needed for individuals with type 2 diabetes mellitus.

Lifestyle changes and glycemic control in type 1 diabetes mellitus: a trial protocol with factorial design approach

BACKGROUND

Type 1 diabetes (T1D) has been increasing globally over the past three decades. Self-monitoring of blood glucose is a challenge in both developed as well as developing countries. Self-management guidelines include maintaining logbooks for blood glucose, physical activity, and dietary intake that affect glycated hemoglobin (HbA1c) and a multitude of life-threatening acute complications. Innovative, cost-effective interventions along with beneficial lifestyle modifications can improve home-based self-monitoring of blood glucose in T1D patients. The overall objective of this study is to evaluate the relationship between maintaining log books for blood glucose levels, reinforcement by e-messages, and/or daily step count and changes in HbA1c.

METHODS/DESIGN

A randomized controlled trial will enroll participants aged 15 years and above in four groups. Each group of 30 participants will be working with a newly designed standard log book for documenting their blood glucose. The first group will be entirely on routine clinical care, the second group will be on routine care and will receive an additional e-device for recording step count (fit bit), the third group will receive routine care and daily motivational e-messages to maintain the log book, and the fourth group along with routine care will receive an e-device for measuring step count (fit bit) and e-messages about maintaining the log book. Patients will be enrolled from pediatric and endocrine clinics of a tertiary care hospital in Karachi. All groups will be followed up for a period of 6 months to evaluate outcomes. Log book data will be obtained every 3 months electronically or during a patient's clinic visit. HbA1c as a main outcome will be measured at baseline and will be evaluated twice every 3 months. A baseline questionnaire will determine the socio-demographic, nutritional, and physical activity profile of patients. Clinical information for T1D and other co-morbidities for age of onset, duration, complications, hospitalizations, habits for managing T1D, and other lifestyle characteristics will be ascertained. Behavioral modifications for maintaining daily log books as a routine, following e-messages alone, fit bit alone, or e-messages plus using fit bit will be assessed for changes in HbA1c using a generalized estimated equation.

DISCUSSION

The proposed interventions will help identify whether maintaining log books for blood glucose, motivational e-messages, and/or daily step count will reduce HbA1c levels.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03864991. March 6, 2019.

Blood Glucose Monitoring Before and After Type 1 Diabetes Clinic Visits

Objective

To determine patterns of blood glucose monitoring in children and adolescents with type 1 diabetes (T1D) before and after routine T1D clinic visits.

Methods

Blood glucose monitoring data were downloaded at four consecutive routine clinic visits from children and adolescents aged 5-18 years. Linear mixed models were used to analyze patterns of blood glucose monitoring in patients who had at least 28 days of data stored in their blood glucose monitors.

Results

In general, the frequency of blood glucose monitoring decreased across visits, and younger children engaged in more frequent blood glucose monitoring. Blood glucose monitoring increased before the T1D clinic visits in younger children, but not in adolescents. It declined after the visit regardless of age.

Conclusions

Members of the T1D care team need to consider that a T1D clinic visit may prompt an increase in blood glucose monitoring when making treatment changes and recommendations. Tailored interventions are needed to maintain that higher level of adherence across time.

Impact on the well-being perceived by caregivers of children and adolescents with type 1 diabetes following the use of interstitial glucose measurement systems

INTRODUCTION

Type 1 diabetes mellitus (DM-1) is one of the most common chronic childhood diseases, and it is essential to optimize glycemic control in order to avoid complications. For years, interstitial glucose measurement systems (MGI systems) have been among the new technologies at the forefront of self-care.

OBJECTIVES

To determine the impact on the well-being of the caregivers of patients with type 1 diabetes mellitus under 18 years of age, controlled at a Pediatric Diabetes Unit of a third level hospital, of the use of MGI systems.

MATERIAL AND METHODS

This was an observational, descriptive and analytical cohort study based on a questionnaire completed by the patients' caregivers, as well as from the patient's clinical history.

RESULTS

There were 120 participants (55.5% males), with a mean age 13.20+/-3.71 years and mean glycosylated haemoglobin (HbA1c) 7.36%+/-0.90. 52.5% of the sample used MGI systems. The caregivers of patients using MGI systems showed significantly higher scores (p<.05) regarding well-being, compared to the caregivers of patients not using this technology. In the former, a significant improvement (p<.05) in these variables with respect to the values prior to the beginning of their use was observed.

CONCLUSIONS

The use of MGI systems for diabetes self-management in our study led to a greater sense of well-being on the part of caregivers compared with before their introduction, as well as in comparison with those who continued to perform measurements using daily capillary glycemias.

Flash glucose monitoring reduces glycemic variability and hypoglycemia: real-world data from Spain

OBJECTIVE

Observations in real-world settings support and extend findings demonstrated in randomized controlled trials that show flash glucose monitoring improves glycemic control. In this study, Spain-specific relationships between testing frequency and glycemic parameters were investigated under real-world settings.

RESEARCH DESIGN AND METHODS

Deidentified glucose and user scanning data were analyzed and readers were rank ordered into 20 equal sized groups by daily scan frequency. Glucose parameters were calculated for each group: estimated HbA1c, time below range (<70 and ≤54 mg/dL), within range (70-180 mg/dL), and above range (>180 mg/dL). Glycemic variability (GV) metrics were described and data obtained from sensors in Spain and worldwide were compared.

RESULTS

Spanish users (n=22 949) collected 37.1 million glucose scans, 250 million automatically recorded glucose readings, and checked glucose values via a mean of 13 scans/day. Estimated HbA1c, time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and GV metrics were significantly lower in the highest compared with lowest scan rate group (39.6 to 3.9 scans/day). Time-in-range was higher for the highest versus lowest scan rate group at 15.6 vs 11.5 hours/day, respectively. GV metrics correlated positively with time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and negatively with time-in-range. The relationship between glucose metrics and scan rate was similar in Spain and worldwide. However, time in hypoglycemia in Spain was higher in the groups with lower scan rates.

CONCLUSIONS

As seen in clinical trials, flash glucose monitoring in real-world settings allows frequent glucose checks. High scan rates are associated with the favorable glycemic markers of increased time-in-range and reduced time in hyperglycemia and hypoglycemia, and GV. The same trends, with unique nuances, are observed in both Spanish and global data.

The impact of structured self-monitoring of blood glucose on glycaemic variability in non-insulin treated type 2 diabetes: The SMBG study, a 12-month randomised controlled trial

BACKGROUND AND AIMS

There is inconsistent evidence supporting the self-monitoring of blood glucose (SMBG) in people with non-insulin treated type 2 diabetes (T2D). Structured SMBG protocols have a greater impact on glycaemic control than unstructured SMBG and may improve measures of glycaemic variability (GV), though few previous studies have reported on specific GV outcomes. Our aim was to determine the impact of structured SMBG on simple measures of GV in people with T2D.

METHODS

Participants undertook structured SMBG over 12 months, with HbA_1c recorded at baseline and at 3-monthly follow-up. For each participant, the mean blood glucose (MBG), fasting blood glucose (FBG), standard deviation BG (SD-BG), coefficient of variation of BG (CV-BG), mean absolute glucose change (MAG) and HbA_1c were determined for each 3-month period. Responders were participants with an improvement in HbA_1c of ≥5 mmol/mol (0.5%) over 12 months.

RESULTS

Data from two hundred and thirty-one participants were included for analysis. Participants had a baseline median [interquartile range] HbA_1c 68.0 [61.5-75.5] mmol/mol (8.4%). Participants demonstrated significant improvements in the MBG (-1.25 mmol/L), FBG (-0.97 mmol/L), SD-BG (-0.44 mmol/L), CV-BG (-1.43%), MAG (-0.97 mmol/L), and HbA_1c (-7.0 mmol/mol) (all p < 0.001) at 12 months compared to these measures collected within the first 3 months of SMBG. Responders had a significantly higher baseline median [interquartile range] HbA_1c of 70.0 [63.0-78.0] mmol/mol compared to 61.0 [56.5-66.0] mmol/mol in non-responders (P < 0.001).

CONCLUSIONS

Structured SMBG improved all the observed measures of GV. These results support the use of structured SMBG in people with non-insulin treated T2D.

Cutaneous Complications With Continuous or Flash Glucose Monitoring Use: Systematic Review of Trials and Observational Studies

BACKGROUND

Continuous glucose monitoring (CGM)/flash glucose monitoring (FGM) use in diabetes management is increasing. Cutaneous complications associated with these devices were reported. We conducted a systematic review to provide an overview of cutaneous complications with CGM/FGM use.

METHODS

We identified observational studies and intervention trials that report on cutaneous complications with CGM/FGM use up to January 14, 2019. Studies were identified through Medline, Embase, and PubMed, or with hand searching of the previous publications. Screening was duplicated and data extracted to consider four main themes: incidence rate and severity, participant perspectives of cutaneous complications, potential solutions, and future directions in diabetic technology relevant to reducing cutaneous complications.

RESULTS

A total of 54 eligible studies were identified. The overall event rate of cutaneous complications reported from 19 trials was one event per eight weeks of sensor wear-time of which 1.5% were considered severe. The most common cutaneous complications were wear-related erythema, itching, and induration. Although skin irritations were the most common cause of CGM/FGM discontinuation, most users experienced less pain or discomfort with CGM/FGM than capillary blood glucose testing. Future technological advances may reduce, but not eliminate cutaneous complications.

CONCLUSION

The incidence rate of reported cutaneous complications with CGM/FGM use from the available literature is low, with one event per eight weeks of sensor wear-time. Reported complication severity was also low, leading to low rates of CGM/FGM discontinuation. However, there appear to be discrepancies between reporting in trial and observational data. Greater constancy in reporting is necessary to understand the frequency of this issue.

The Accuracy and Precision of the Continuously Stored Data from Flash Glucose Monitoring System in Type 2 Diabetes Patients during Standard Meal Tolerance Test

BACKGROUND

The purpose of this study was to investigate the accuracy of the continuously stored data from the Abbott FreeStyle Libre flash glucose monitoring (FGM) system in Chinese diabetes patients during standard meal tests when glucose concentrations were rapidly changing. Subjects and Methods. Interstitial glucose levels were monitored for 14 days in 26 insulin-treated patients with type 2 diabetes using the FGM system. Standard meal tests were conducted to induce large glucose swings. Venous blood glucose (VBG) was tested at 0, 30, 60, and 120 min after standard meal tests in one middle day of the first and second weeks, respectively. The corresponding sensor glucose values were obtained from interpolating continuously stored data points. Assessment of accuracy was according to recent consensus recommendations with median absolute relative difference (MARD) and Clarke and Parkes error grid analysis (CEG and PEG).

RESULTS

Among 208 paired sensor-reference values, 100% were falling within zones A and B of the Clarke and Parkes error grid analysis. The overall MARD was 10.7% (SD, 7.8%). Weighted least squares regression analysis resulted in high agreement between the FGM sensor glucose and VBG readings. The overall MTT results showed that FGM was lower than actual VBG, with MAD of 22.1 mg/dL (1.2 mmol/L). At VBG rates of change of -1 to 0, 0 to 1, 1 to 2, and 2 to 3 mg/dl/min, MARD results were 11.4% (SD, 8.7%), 9.4% (SD, 6.5%), 9.9% (SD, 7.5%), and 9.5% (SD, 7.7%). At rapidly changing VBG concentrations (>3 mg/dl/min), MARD increased to 19.0%, which was significantly higher than slow changing BG groups.

CONCLUSIONS

Continuously stored interstitial glucose measurements with the FGM system were found to be acceptable to evaluate VBG in terms of clinical decision during standard meal tests. The continuously stored data from the FGM system appeared to underestimate venous glucose and performed less well during rapid glucose changes.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2020

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Monitoring of Pediatric Type 1 Diabetes

Regular self-monitoring of blood glucose levels, and ketones when indicated, is an essential component of type 1 diabetes (T1D) management. Although fingerstick blood glucose monitoring has been the standard of care for decades, ongoing rapid technological developments have resulted in increasingly widespread use of continuous glucose monitoring (CGM). This article reviews recommendations for self-monitoring of glucose and ketones in pediatric T1D with particular emphasis on CGM and factors that impact the accuracy and real-world use of this technology.

Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group-based modeling approach

OBJECTIVES

Only a fraction of youth meet established targets for glycemic control; many experience deteriorating control over time. We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans-continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories.

RESEARCH DESIGN AND METHODS

Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes-Patienten-Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group-based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors.

RESULTS

Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z-score, higher BMI z-score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries.

CONCLUSIONS

We report the first multinational registry-based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.

The association between socio-economic status and diabetes care and outcome in children with diabetes type 1 in Germany: The DIAS study (diabetes and social disparities)

OBJECTIVE

To evaluate the association between socioeconomic status (SES) and diabetes outcomes in German children and adolescents.

METHODS

A total of 1829 subjects <18 years old with type 1 diabetes mellitus from 13 German diabetes centers were included from June 2013 until June 2014. Data were collected within the multicenter DPV (Diabetes Prospective Follow-up) registry. SES was measured with a composite index. Multivariable regression models were applied to analyze the association of SES and outcomes adjusted for age, sex, diabetes duration, and migration status.

RESULTS

Low SES was significantly associated with worse diabetes outcomes: higher hemoglobin A1C (HbA1c) (64.3 mmol/mol), lower proportion of insulin pump therapy (43.6%), fewer daily self-monitored blood glucose (SMBG) measurements (5.7), more inpatient days per patient-year (5.8) compared to patients with medium/high SES (HbA1c: 61.3 mmol/mol, P < 0.001/59.8 mmol/mol, P < 0.0001; proportion of pump therapy: 54.5%, P < 0.01/ 54.9%, P < 0.01; SMBG: 6.0, P < 0.01/ 6.1, P < 0.01; inpatient days: 4.5, P < 0.0001/3.4, P < 0.0001). The inclusion of migration status in the models resulted in only minor changes in the outcomes.

CONCLUSION

Despite free health care, low SES is associated with unfavorable diabetes outcomes in Germany. The poorer diabetes outcomes of children with diabetes have been attributed to their migration status and may be partly explained by low SES. Both factors must become part of targeted diabetes care in children and adolescents with type 1 diabetes.

Discrepancies between methods of continuous glucose monitoring in key metrics of glucose control in children with type 1 diabetes

OBJECTIVE

We aimed to compare glycemic control and variability parameters obtained from paired records of real-time continuous glucose monitoring (RT-CGM) and flash glucose monitoring (FGM).

METHODS

Ten Polish boys and 11 girls aged 15.3 ± 2.1 years with type 1 diabetes for 7.7 ± 4.5 years and glycated hemoglobin 7.35 ± 0.7% (57 ± 5 mmol/mol) were recruited between August 2017 and June 2018 and equipped with devices for RT-CGM (iPro2 system with Enlite electrodes) and FGM (FreeStyle Libre) for 1 week. Afterwards, Glyculator 2.0 software was used to calculate and compare key metrics of glycemic control listed in the International Consensus on Use of Continuous Glucose Monitoring, with distinction into all record/night-time/day-time blocks when appropriate.

RESULTS

Agreement between the two systems' measurements across patients ranged from poor (R²  = .39) to nearly perfect (R²  = .97). Significant differences between RT-CGM and FGM were observed in five important metrics: coefficient of variation (median difference: -4.12% [25%-75%: -7.50% to -2.96%], P = .0001), low blood glucose index (-0.88 [-1.88 to -0.18], P = .0004), % of time below 70 mg/dL (3.9 mmol/L) (-4.77 [-8.39 to -1.19], P = .0015) and 54 mg/dL (3 mmol/L) (-1.33 [-4.07 to 0.00], P = .0033) and primary time in range (TIR) 70-180 mg/dL (8.58 [1.31 to 12.66], P = .0006).

CONCLUSIONS

RT-CGM and FGM differ in their estimates of clinically important indices of glycemic control. Therefore, such metrics cannot be directly compared between people using different systems. Our result necessitates system-specific guidelines and targets if TIR and glycemic variability are to be used as an endpoint in clinical trials.

Differences of FreeStyle Libre Flash Glucose Monitoring System and Finger Pricks on Clinical Characteristics and Glucose Monitoring Satisfactions in Type 1 Diabetes Using Insulin Pump

Background:

To evaluate the different experience of freestyle libre and finger pricks on clinical characteristics and glucose monitoring satisfaction (GMS) in patients with type 1 diabetes (T1D) using insulin pump (IP).

Methods:

A prospective study was carried out on 47 (aged 17-21 years) T1D, who used conventional finger-pricking method for self-testing the glucose. The experiments were conducted between March 2018 and September 2018. For carrying out the study, the flash glucose monitoring (FGM) sensors were placed on each participant, at the baseline visit, by a trained diabetes educator. Furthermore, to determine the total number of scans conducted during the study period, the respective ambulatory glucose profiles were generated by computing the data collected from the sensors. In addition, a trained interviewer handed over the GMS questionnaire to each patient, at the baseline and at 12 weeks of the study.

Results:

In comparison to the baseline (finger pricks), various parameters such as: HbA1c (P = .042), hypoglycemia (P = .001), mean capillary glucose (P = .004), total daily insulin dose (P = .0001), percentage of bolus insulin (P = .0001), daily bolus frequency (P = .0001), and daily carbohydrates intake (P = .0001) showed a significant improvement at 12 weeks. Similarly, substantial augmentation was noticed, in the sub domains of GMS, that is, openness (P = .0001), emotional burden (P = .0001), behavioral burden (P = .0001), and trust (P = .0001) at 12 weeks as compared to baseline. Overall, total GMS score at baseline was 1.72 ± 0.37, which increased up to 3.41 ± 0.49 (P = .0001) in the time period of 12 weeks. The HbA1c (r² = 0.45), hypoglycemia (r² = 0.58), and the mean number of FGM scans, exhibited a negative correlation, while GMS (r² = 0.52) and the mean number of FGM scans, exhibited a positive correlation.

Conclusion:

The frequency of hypoglycemia, HbA1c level, capillary glucose, daily carbohydrates intake decreased, while the total daily insulin dose, daily bolus insulin and total GMS score increased with the use of FGM scanning for 12 weeks.

Systematic review of sociodemographic representation and cultural responsiveness in psychosocial and behavioral interventions with adolescents with type 1 diabetes

BACKGROUND

The increasing incidence of type 1 diabetes (T1D) in youth aged less than 20 years in the USA is a mounting public health concern. Specific sociodemographic characteristics-racial/ethnic minority, low socioeconomic status (SES), single-parent home and underinsured-have been associated with increased risk for poor glycemic control and poor self-management in adolescents with T1D.

METHODS

Sample demographic and cultural responsiveness methods in psychosocial and behavioral interventions focused on improving self-management and glycemic control in adolescents with T1D were systematically evaluated, to identify if studies were targeting these high-risk groups. Keyword searches of PsychInfo, PubMed and CINAHL identified 259 studies published between 2006 and 2016, of adolescents (13-18 years old) with T1D; 28 studies met inclusion criteria.

RESULTS

Samples focused predominantly on White adolescents with fair glycemic control, from middle-high income, two-parent households with private insurance. The majority of studies scored poorly in cultural responsiveness and moderately in culturally responsive reporting. Studies lacked descriptions of culturally inclusive recruitment and sampling methods, and use of culturally responsive assessments for diverse groups. The majority of studies recruited and enrolled homogeneous adolescent samples from the lowest risk groups.

CONCLUSION

T1D intervention researchers must increase targeted recruitment and sampling methods to include more high-risk pediatric T1D groups, expand sociodemographic reporting, and increase the use of culturally responsive recruitment and sampling methods, such as those used in community-based participatory research. Such efforts have the potential to reduce T1D disparities by making interventions more relevant to the unique needs, goals and priorities of highest risk groups.

Evaluation of Linearity and Interference Effect on SMBG and POCT Devices, Showing Drastic High Values, Low Values, or Error Messages

BACKGROUND

When a patient with diabetes measures blood glucose levels using a simple blood glucose meter, an error message or abnormal value may be displayed because of interfering substances, potentially leading to unnecessary medical treatment.

METHODS

Here, we tested 10 self-monitoring of blood glucose (SMBG) and point-of-care testing (POCT) devices to investigate under what conditions they fail to measure blood glucose levels or display abnormal values instead. We also evaluated the influence and linearity of several well-known interfering substances and hematocrit (Ht). Each adjusted sample was measured by each device twice and the values compared with the reference values.

RESULTS

Linearity was favorable in all but one model. The impact of the interfering substances and Ht has been confirmed in many SMBG and POCT devices. In particular, some models showed significant pseudo-high or -low levels for samples that contained ascorbic acid, which is used widely in infusion solutions. Three devices showed error messages to avoid presenting a false value.

CONCLUSIONS

Since pseudo-high levels may result in the excessive administration of insulin and lead to adverse events, this report serves as a critical reminder of the importance of device choice for specific indications. Three new devices have safety functions that prevent the showing of false values.

The influence of demographic, social-educational determinants and diabetes management on agreement between glucometer and logbook and its impact on glycemic control in patients with type 1 diabetes: a follow-up study

BACKGROUND

The primary objective of this study was to evaluate the demographic, clinical, social-educational determinants and diabetes management factors that have influenced the agreement between glycaemia obtained from a glucometer and logbook; the second objective was to evaluate the influence of the above-mentioned factors on glycemic control and its trajectories in Type 1 diabetes (T1D) over 1 year follow-up period during routine clinical practice.

METHODS

This was a prospective observational cohort study conducted at the Diabetes Unit at Rio de Janeiro's State University, between May 2017 and May 2018. All consecutive patients with clinical diagnosis of T1D that attended the Diabetes Unit between April and June 2017 were enrolled in this study.

RESULTS

Data were obtained from 158 patients. Overall, for 112 (73.2%) of the patients, we found no agreement between glycaemia obtained from a glucometer and the logbook (group 2). In 41 (26.8%) of the patients there was an agreement (group 1). Patients from group 1 presented a lower mean glycated hemoglobin (HbA1c) (p = 0.03) and a tendency to have a lower baseline HbA1c (p = 0.08), they received more frequently strips for glucose monitoring from the Sistema Único de Saúde (SUS) (p = 0.047) and were more adherent to the prescribed diet (p = 0.01) than patients from group 2. Multivariate analysis of this agreement (as a dependent variable) showed that adherence to diet was the only significant independent variable. Significant difference was noted between baseline and final HbA1c [(9.4 ± 2.2%) vs (9.03 ± 1.8%), p = 0.017], respectively.

CONCLUSIONS

Our study revealed that the majority of T1D patients that were followed at a tertiary center did not have significant agreement between glycaemia obtained from a glucometer and a logbook. Adherence to diet was the main factor related to the agreement, but the supply of strips by SUS should also be considered in clinical practice.

Persistent heterogeneity in diabetes technology reimbursement for children with type 1 diabetes: The SWEET perspective

BACKGROUND

Frequent use of modern diabetes technologies increases the chance for optimal type 1 diabetes (T1D) control. Limited reimbursement influences the access of patients with T1D to these modalities and could worsen their prognosis. We aimed to describe the situation of reimbursement for insulins, glucometers, insulin pumps (CSII) and continuous glucose monitoring (CGM) for children with T1D in European countries participating in the SWEET Project and to compare data from EU countries with data from our previous study in 2009.

METHODS

The study was conducted between March 2017 and August 2017. First, we approached diabetes technology companies with a survey to map the reimbursement of insulins and diabetic devices. The data collected from these companies were then validated by members of the SWEET consortium.

RESULTS

We collected data from 29 European countries, whereas all types of insulins are mostly fully covered, heterogeneity was observed regarding the reimbursement of strips for glucometers (from 90 strips/month to no limit). CSII is readily available in 20 of 29 countries. Seven countries reported significant quota issues or obstacles for CSII prescription, and two countries had no CSII reimbursement. CGM is at least partially reimbursed in 17 of 29 countries. The comparison with the 2009 study showed an increasing availability of CSII and CGM across the EU.

CONCLUSIONS

Although innovative diabetes technology is available, a large proportion of children with T1D still do not benefit from it due to its limited reimbursement.

Flash Glucose Monitoring Accepted in Daily Life of Children and Adolescents with Type 1 Diabetes and Reduction of Severe Hypoglycemia in Real-Life Use

Background: Flash glucose monitoring (FGM) is covered by the Belgian public health insurance for type 1 diabetes since 2016. The objective of this study was to describe the use of FGM and diabetes outcomes in type 1 diabetic children and adolescents 1 year after reimbursement. Methods: All patients had the choice to convert to FGM or to continue with self-monitoring of blood glucose (SMBG). Clinical data were collected at baseline, at the next visit, and after 12 months; glucose profiles at next visit and after 12 months. Regression analyses were performed to identify predictors of FGM acceptance and changes in metabolic control. Results: A total of 334 subjects were included, of whom 278 (83.2%) switched to FGM. They were younger (13.6 vs. 15.2 years; P = 0.012) and performed more SMBG testing at baseline than patients who did not switch (4.3 vs. 4.1 tests daily; P = 0.008). At the end of follow-up, the rate of severe hypoglycemia decreased by 53% in the group of FGM users (P = 0.012) while it remained stable in SMBG users. Median glycated hemoglobin did not change significantly in both groups. Among subjects who switched to FGM, 15.8% reverted to SMBG after a median use of 5.3 months. Adverse events, diabetes duration, and FGM utilization were independent predictors of the risk for reverting. FGM-related adverse events were associated with a fivefold increased risk to revert to SMBG (hazard ratio = 5.12; P < 0.0001). Conclusions: FGM is relatively well accepted and decreases the risk of severe hypoglycemic events in our pediatric population. FGM is more often discontinued in patients experiencing adverse events and with longer diabetes duration.

Effect of 6 months' flash glucose monitoring in adolescents and young adults with type 1 diabetes and suboptimal glycaemic control: managing diabetes in a 'flash' randomised controlled trial protocol

BACKGROUND

Teenagers and young adults with type 1 diabetes (T1D) experience significant burden managing this serious chronic condition and glycaemic control is at its unhealthiest during this life stage. Flash glucose monitoring (FGM) is a new technology that reduces the burden of glucose monitoring by easily and discreetly displaying glucose information when an interstitial glucose sensor worn on the upper arm is scanned with a handheld reader, as opposed to traditional capillary glucose sampling by finger prick (otherwise known as self-monitored blood glucose, SMBG). The effectiveness of this technology and impacts of its long-term use in youth with pre-existing suboptimal glycaemic control are unknown. This study therefore aims to investigate the effectiveness of FGM in addition to standard care in young people with T1D.

METHODS

This is a two phase study programme including a multi-centre randomised, parallel-group study consisting of a 6-month comparison between SMBG and FGM, with an additional 6-month continuation phase. We will enrol adolescents with T1D aged 13-20 years (inclusive), with suboptimal glycaemic control (mean glycated haemoglobin (HbA1c) in past 6 months ≥75 mmol/mol [≥9%]). Participants will be randomly allocated (1:1) to FGM (FreeStyle Libre; intervention group) or to continue SMBG with capillary blood glucose testing (usual care group). All participants will continue other aspects of standard care with the study only providing the FreeStyle Libre. At 6 months, the control group will cross over to the intervention. The primary outcome is the between group difference in changes in HbA1c at 6 months. Additional outcomes include a range of psychosocial and health economic measures as well as FGM acceptability.

DISCUSSION

>If improvements are found, this will further encourage steps towards integrating FGM into regular diabetes care for youth with unhealthy glycaemic control, with the expectation it will reduce daily diabetes management burden and improve short- and long-term health outcomes in this high-risk group.

TRIAL REGISTRATION

This trial was registered with the Australian New Zealand Clinical Trials Registry on 5 March 2018 ( ACTRN12618000320257p ) and the World Health Organization International Clinical Trials Registry Platform (Universal Trial Number U1111-1205-5784).

Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning

The vision for precision medicine is to use individual patient characteristics to inform a personalized treatment plan that leads to the best possible health-care for each patient. Mobile technologies have an important role to play in this vision as they offer a means to monitor a patient's health status in real-time and subsequently to deliver interventions if, when, and in the dose that they are needed. Dynamic treatment regimes formalize individualized treatment plans as sequences of decision rules, one per stage of clinical intervention, that map current patient information to a recommended treatment. However, most existing methods for estimating optimal dynamic treatment regimes are designed for a small number of fixed decision points occurring on a coarse time-scale. We propose a new reinforcement learning method for estimating an optimal treatment regime that is applicable to data collected using mobile technologies in an out-patient setting. The proposed method accommodates an indefinite time horizon and minute-by-minute decision making that are common in mobile health applications. We show that the proposed estimators are consistent and asymptotically normal under mild conditions. The proposed methods are applied to estimate an optimal dynamic treatment regime for controlling blood glucose levels in patients with type 1 diabetes.

Is insulin pump therapy effective in Type 1 diabetes?

There continues to be uncertainty about the effectiveness in Type 1 diabetes of insulin pump therapy (continuous subcutaneous insulin infusion, CSII) vs. multiple daily insulin injections (MDI). This narrative review discusses the reasons for this uncertainty, summarizes the current evidence base for CSII and suggests some future research needs. There are difficulties in interpreting trials of CSII because effectiveness varies widely due to factors such as differing baseline control, suboptimal use of best CSII practices, and psychological factors, for example, high external locus of control, non-adherence and lack of motivation. Many summary meta-analyses are also misleading because of poor trial selection (e.g. short duration, obsolete pumps, low baseline rate of hypoglycaemia) and reliance on mean effect size for decision-making. Both MDI and CSII can achieve strict glycaemic control without hypoglycaemia in some people with Type 1 diabetes, especially those who are motivated and have undergone structured diabetes education, and with high levels of ongoing input from healthcare professionals. CSII is particularly effective in those people with Type 1 diabetes who have not achieved target HbA_1c levels without disabling hypoglycaemia using best attempts with MDI, and here there can be valuable and substantial improvement. Insulin pumps are safe, effective and accepted when used in newly diagnosed diabetes, particularly in children, where MDI may not be practicable. Future research needs include more studies on mortality associated with insulin pumps where registry data have suggested lower rates vs. MDI; and psychological strategies to improve non-adherence and suboptimal glycaemic outcomes on CSII.

Evaluating fear of hypoglycemia, pediatric parenting stress, and self-efficacy among parents of children with type 1 diabetes and their correlation with glycemic control

Background: This study was designed to determine the level of fear of hypoglycemia (FoH), pediatric parenting stress and selfefficacy in parents of children with type 1 diabetes (T1D).

Methods: In this cross-sectional study, 61 families of children with T1D who had been diagnosed for at least 6 months recruited from "Gabric Diabetes Education Association" in Tehran. Sixty mothers and 41 fathers of 61 children (26 girls, age: 6.0-12.7 years) were assessed using the Hypoglycemia Fear Survey-Parent (HFS-P), Pediatric Inventory for Parents (PIP) and Self-Efficacy for Diabetes Scale-Parent (SED-P) questionnaires. Pearson correlation analysis was used to compute the correlation between HFS-P, PIP and SEDP scores separately for mother and fathers.

Results: Only 8.3% of children had controlled diabetes. Internal reliability of the Persian version of all questionnaires was good. FoH were higher for mothers. Mothers whose children had diabetes for less than two years had significantly lower mean HFS-Behavior subscale (HFS-B) scores than mothers whose children had diabetes for more than two years. There was a positive correlation between fathers’ mean HFS-B score and children’s total insulin dose per day. Parents' FoH score was positively correlated with increased pediatric parenting stress. Findings also showed considerable emotional distress in 51% of mothers and 29.7% of fathers. Frequency of selfmonitoring blood glucose tests (SMBG) correlated negatively with HbA1c.

Conclusion: We concluded that parents with high levels of FoH and stress may benefit from diabetes education. Important implications for education are considering psychological adjustment, recognizing diabetes-related fear and stress in parents, encouraging fathers to become actively involved in the child’s diabetes management and emphasizing the importance of SMBG.

Blood glucose meters and test strips: global market and challenges to access in low-resource settings

Blood glucose meters and test strips for self-monitoring of blood glucose (SMBG) are often inaccessible to, and infrequently used by, people with diabetes in countries with limited resources for health care. Supplies for measuring blood glucose can also be scarce in health facilities, despite being needed in a myriad of clinical settings at all levels of the health system. Numerous studies and international guidelines emphasise the value of SMBG in diabetes care, particularly in people with type 1 diabetes. In this Review, we assess global access to blood glucose meters and test strips, collating published information on cost, availability, system accuracy, competitive bidding, technological trends, and non-financial barriers. We also provide new information on global market share data and prices, taxes and tariffs, and product availability. Blood glucose meters and test strips should be viewed similarly to essential medicines, with issues of access prioritised by relevant international agencies. Efforts are needed to reduce tariffs and taxes and to create unified global system accuracy requirements and accountable post-marketing evaluations. Preferential pricing arrangements, pooled procurement, and best-purchasing practices could help to lower direct costs. SMBG supplies should also be included in national health insurance schemes. Enhanced diabetes education of health professionals and patients is crucial to ensure effective use of SMBG. Finally, as technology advances for people who can afford new interstitial fluid glucose monitoring systems, blood glucose meters and test strips must remain available and become more affordable in low-resource settings.

Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review

BACKGROUND

The role of technology in the self-management of type 1 diabetes mellitus (T1DM) among children and young people is not well understood. Interventions should aim to improve key diabetes self-management behaviours (self-management of blood glucose, insulin administration, physical activity and dietary behaviours) and prerequisites (psychological outcomes and HbA1c) highlighted in the UK guidelines of the National Institute for Health and Care Excellence (NICE) for management of T1DM. The purpose was to identify evidence to assess the effectiveness of technological tools in promoting aspects of these guidelines amongst children and young people.

METHODS

A systematic review of English language articles was conducted using the following databases: Web of Science, PubMed, Scopus, NUSearch, SAGE Journals, SpringerLink, Google Scholar, Science Direct, Sport Discus, Embase, Psychinfo and Cochrane Trials. Search terms included paediatric, type one diabetes, technology, intervention and various synonyms. Included studies examined interventions which supplemented usual care with a health care strategy primarily delivered through a technology-based medium (e.g. mobile phone, website, activity monitor) with the aim of engaging children and young people with T1DM directly in their diabetes healthcare. Studies did not need to include a comparator condition and could be randomised, non-randomised or cohort studies but not single-case studies.

RESULTS

Of 30 included studies (21 RCTs), the majority measured self-monitoring of blood glucose monitoring (SMBG) frequency, clinical indicators of diabetes self-management (e.g. HbA1c) and/or psychological or cognitive outcomes. The most positive findings were associated with technology-based health interventions targeting SMBG as a behavioural outcome, with some benefits found for clinical and/or psychological diabetes self-management outcomes. Technological interventions were well accepted by children and young people. For the majority of included outcomes, clinical relevance was deemed to be little or none.

CONCLUSIONS

More research is required to assess which elements of interventions are most likely to produce beneficial behavioural outcomes. To produce clinically relevant outcomes, interventions may need to be delivered for at least 1 year and should consider targeting individuals with poorly managed diabetes. It is not possible to determine the impact of technology-based interventions on insulin administration, dietary habits and/or physical activity behaviour due to lack of evidence.