Frequency of blood glucose monitoring in relation to glycaemic control: observational study with diabetes database

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

AIM

To determine the association between the frequency of self-monitoring of blood glucose (SMBG) and glycemic control in patients with type 2 diabetes.

METHODS

The 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.

RESULTS

In 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.

CONCLUSION

Frequent SMBG was associated with better glycemic control in non-insulin-treated patients. Insulin-treated patients with poor glycemic control may benefit from frequent SMBG.

A Narrative Review on Strategies for the Reversion of Prediabetes to Normoglycemia: Food Pyramid, Physical Activity, and Self-Monitoring Innovative Glucose Devices

In 2019, "Nutrition Therapy for Adults with Diabetes or Prediabetes: A Consensus Report" was published. This consensus report, however, did not provide an easy way to illustrate to subjects with prediabetes (SwPs) how to follow a correct dietary approach. The purpose of this review is to evaluate current evidence on optimum dietary treatment of SwPs and to provide a food pyramid for this population. The pyramid built shows that everyday consumption should consist of: whole-grain bread or potatoes eaten with their skins (for fiber and magnesium) and low glycemic index carbohydrates (GI < 55%) (three portions); fruit and vegetables (5 portions), in particular, green leafy vegetables (for fiber, magnesium, and polyphenols); EVO oil (almost 8 g); nuts (30 g, in particular, pistachios and almonds); three portions of dairy products (milk/yogurt: 300-400 g/day); mineral water (almost 1, 5 L/day for calcium intake); one glass of wine (125 mL); and three cups of coffee. Weekly portions should include fish (four portions), white meat (two portions), protein plant-based food (four portions), eggs (egg portions), and red/processed meats (once/week). At the top of the pyramid, there are two pennants: a green one means that SwPs need some personalized supplementation (if daily requirements cannot be satisfied through diet, vitamin D, omega-3, and vitamin B supplements), and a red one means there are some foods and factors that are banned (simple sugar, refined carbohydrates, and a sedentary lifestyle). Three to four times a week of aerobic and resistance exercises must be performed for 30-40 min. Finally, self-monitoring innovative salivary glucose devices could contribute to the reversion of prediabetes to normoglycemia.

Development and Validation of a Distress Measurement Related to Glucose Monitoring of Diabetes Patients

INTRODUCTION

Glucose monitoring-related problems affect the social and psychological distress experienced by patients with diabetes, and this distress leads to low compliance. Consequently, it is important to be able to comprehensively assess distress due to glucose monitoring in these patients. We have developed and validated a distress of self-glucose monitoring (DSGM) scale instrument to assess patient distress from glucose monitoring.

METHODS

Following an extensive literature review and qualitative study, we selected 21 items for assessing the DSGM, including physical, psychosocial, and process domains. We conducted a cross-sectional study in patients with insulin-treated diabetes aged 10-40 years at Samsung Medical Center, Seoul, Korea, from April 2021 to September 2021. Exploratory and confirmatory factor analyses (CFA) were performed to confirm the structural validity of the DSGM scale. To confirm construct and criterion validity, we assumed that the Korean version of the Problem Areas in Diabetes (PAID-K) instrument, life interference, and stress due to glucose monitoring might moderately correlate with the total score and scores of all domains of the DSGM scale except for the physical domain.

RESULTS

Cronbach's alpha coefficients for the DSGM scale were 0.92, and Cronbach's alpha coefficients of the three subscales ranged from 0.69 to 0.92, indicating satisfactory internal consistency. The DSGM scale was evaluated using CFA, and the fit indices for this model were good. The PAID-K total score, life interference, and stress due to glucose monitoring were moderately correlated with the total score of the DSGM scale and with the scores of the psychosocial and process domains, and were weakly correlated with the score of the physical domain of the DSGM scale.

CONCLUSION

The DSGM scale is a valid and reliable tool to evaluate distress due to glucose monitoring in adults, adolescents, and children with diabetes.

Applying the Reasoned Action Approach and Planning to Understand Diabetes Self-Management Behaviors

Individuals managing diabetes are required to adhere to self-management behaviors to ensure the optimal regulation of their blood glucose levels. This study examined the psychological determinants underlying three important diabetes self-management behaviors (e.g., physical activity, diet, and blood glucose monitoring) using the reasoned action approach (RAA) and planning. A cross-sectional design was used, with participants (N = 273) completing measures of RAA constructs (e.g., experiential and instrumental attitude, descriptive and injunctive norm, and capacity and autonomy) and planning (e.g., action and control planning) at time 1 and participation in the behaviors one week later at time 2. Regressions showed that RAA constructs accounted for good variance in intention and behavior in all behaviors. Intention towards diet and blood glucose monitoring was significantly predicted by instrumental attitude, injunctive norm, and capacity. Intention towards physical activity was significantly predicted by instrumental attitude, experiential attitude, injunctive norm, capacity, and autonomy. All behaviors were significantly predicted by intention, action planning, and coping planning. Additionally, capacity significantly predicted physical activity and autonomy significantly predicted diet and blood glucose monitoring. Successfully intervening in the influential psychological constructs identified in the study could ensure optimal blood glucose regulation in those managing diabetes.

Self-Monitoring of Blood Glucose for Patients With Type 2 Diabetes in Primary Care: A Single-Centre, 10-Year Retrospective Analysis

Background While type 1 diabetics often require self-monitoring of blood glucose (SMBG), the evidence for tight blood glucose monitoring in non-insulin treated type 2 diabetes mellitus (T2DM) patients is limited. In addition to its lack of cost-effectiveness, unnecessary blood glucose monitoring may also result in anxiety and decreased quality of life. In this retrospective audit, we assessed SMBG prescribing practice at one general practice against guidelines from the National Institute for Health and Care Excellence (NICE). Methods A systematic search of T2DM patients diagnosed at a general practice in London, United Kingdom, in the last 10 years was undertaken. A total of 146 patients fulfilled these criteria, of which 100 patients were randomly selected for inclusion in this audit. Medical notes were reviewed and collated for analysis. Results Only 85% of patients with T2DM were being managed in accordance with the NICE guidelines on SMBG, while 15% were not. It was more common for patients who did not need monitoring to be inappropriately prescribed SMBG (10%) than it was for patients who needed monitoring to be under-prescribed SMBG (5%). The reasons for prescribing SMBG were often left undocumented. Conclusion Adherence to the NICE guidelines is subpar. Recommended solutions include educating healthcare professionals involved in the prescribing of SMBGs, regular reviews of the continued necessity of SMBG, and digital alerts on e-prescribing systems.

Effect of remote management on comprehensive management of diabetes mellitus during the COVID-19 epidemic

OBJECTIVE

We learned about the health condition of people with diabetes during the COVID-19 epidemic through a questionnaire survey. We conducted a randomized controlled study to confirm the effectiveness of remote management using the mobile phone WeChat app on comprehensive management of diabetes mellitus during the COVID-19 epidemic.

METHODS

We distributed questionnaires that collected information on the health condition of people with diabetes during the COVID-19 epidemic through the WeChat app. We assigned 90 cases to the intervention group and 90 cases to the control group. The intervention group was managed remotely through the WeChat app, and the control group received traditional medical treatment. The blood glucose, blood pressure, body mass index (BMI), time in range (TIR) and incidence of hypoglycemia were compared after three months of follow-up.

RESULTS

The BMI and postprandial blood glucose (PBG) of the control group at 3 months was significantly higher than that at baseline (P < 0.001), and TIR decreased at 3 months (P < 0.05). There was no significant difference in blood pressure compared with baseline in the control group, while blood pressure decreased in the intervention group (P < 0.05). In the intervention group, fast blood glucose(FBG) and PBG decreased compared with their baseline values, and the TIR level increased, both of which were statistically significant (P < 0.001). The FBG, PBG, and TIR of the intervention group were better than those in the control group at 3 months (P < 0.05). There was no difference in the incidence of hypoglycemia between the two groups.

CONCLUSION

During the COVID-19 epidemic, diabetes treatment has been facing new challenges, and the traditional treatment mode is limited. Remote management can increase TIR without increasing the risk of hypoglycemia. Remote management can prevent weight gain and improve patients' self-management and compliance during the COVID-19 epidemic.

A Social Marketing Intervention to Improve Treatment Adherence in Patients with Type 1 Diabetes

This research explores if a social marketing intervention model based on social representations theory and the health belief model can generate changes regarding treatment adherence and improve patient self-efficacy. As a pilot, a test-retest field quasi-experiment was designed to evaluate the intervention model with type 1 diabetes (T1DM) patients of families with 8- to 17-year-old children. The intervention model was designed to clarify misconceptions, increase awareness of the benefits of following doctors' treatments and improve patients' self-efficacy. In-depth interviews were carried out to gain a richer understanding of the intervention's effect. The pilot intervention generated a favourable change in shared misconceptions, individual health beliefs, glycaemic control and declared treatment adherence. This paper contributes to the social marketing literature and public health by providing early support for the theoretical assumptions regarding the role of shared misconceptions in physiological and behavioural outcomes for patients with T1DM. Contrary to previous studies, instead of only focusing on individual beliefs, this study incorporates shared beliefs between patients and caregivers, generating more comprehensive behavioural change.

Clinical approaches to treat impaired awareness of hypoglycaemia

Impaired awareness of hypoglycaemia (IAH) affects between 25% and 30% of all people with type 1 diabetes (T1D) and markedly increases risk of severe hypoglycaemia. This greatly feared complication of T1D impairs quality of life and has a recognised morbidity. People with T1D have an increased propensity to hypoglycaemia as a result of fundamental physiological defects in their ability to respond appropriately to a fall in blood glucose levels. With repeated exposure to low glucose, many then develop a condition referred to as IAH, where there is a reduced ability to perceive the onset of hypoglycaemia and take appropriate corrective action. The management of individuals with IAH relies initially on its identification in the clinic through a detailed exploration of the frequency of hypoglycaemia and an assessment of the individual's ability to recognise these episodes. In this review article, we will address the clinical strategies that may help in the management of the patient with IAH once identified, who may or may not also suffer from problematic hypoglycaemia. The initial focus is on how to identify such patients and then on the variety of approaches involving educational programmes and technological approaches that may be taken to minimise hypoglycaemia risk. No single approach can be advocated for all patients, and it is the role of the health care professional to identify the clinical strategy that best enables their patient to achieve this goal.

Impact of flash glucose monitoring on glucose control and hospitalization in type 1 diabetes: A nationwide cohort study

BACKGROUND

We evaluated the impact of flash continuous glucose monitoring (FCGM) on glycemic control and healthcare burden in a large real-world cohort of patients with type 1 diabetes (T1D) initiating FCGM technology.

METHODS

In this retrospective cohort study, we included adults (age ≥18 years) with T1D from a large Health Maintenance Organization in Israel, who initiated FCGM during 2018. Primary outcomes included change in HbA1c ≥3 months following FCGM commencement and change in rate of internal-medicine hospitalization. Additional outcomes included changes in glucose test strip purchases, diabetes related outpatient health care visits and hospitalization for diabetic ketoacidosis (DKA) and/or severe hypoglycemia.

RESULTS

The study included 3490 patients, followed for a median of 14 (inter-quartile range 11-15) months after FCGM commencement. Among 2682 patients with an HbA1c measured both at baseline and ≥3 months after FCGM initiation, average HbA1c declined from 8.1% ± 1.46% to 7.9% ± 1.31% (P < .001) at first measurement and was maintained during follow up. Specifically, in those with HbA1c ≥8%, a mean decline of 0.5% (P < .001) was observed. A clinically significant HbA1c reduction of ≥0.5% was experienced by 25.5% of the patients. The rate of internal medicine hospitalization, visits to primary care, or visits to endocrine/diabetes specialists in the period following FCGM commencement vs the 6 months prior was significantly reduced (P < .001). Hospitalization for DKA and/or hypoglycemia declined as well (P = .004).

CONCLUSIONS

FCGM was associated with significant and durable improvement in glycemic control as well as reduced consumption of healthcare services.

A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective

In combination with current sociological trends, the maturing development of IoT devices is projected to revolutionize healthcare. A network of body-worn sensors, each with a unique ID, can collect health data that is orders-of-magnitude richer than what is available today from sporadic observations in clinical/hospital environments. When databased, analyzed, and compared against information from other individuals using data analytics, HIoT data enables the personalization and modernization of care with radical improvements in outcomes and reductions in cost. In this paper, we survey existing and emerging technologies that can enable this vision for the future of healthcare, particularly in the clinical practice of healthcare. Three main technology areas underlie the development of this field: (a) sensing, where there is an increased drive for miniaturization and power efficiency; (b) communications, where the enabling factors are ubiquitous connectivity, standardized protocols, and the wide availability of cloud infrastructure, and (c) data analytics and inference, where the availability of large amounts of data and computational resources is revolutionizing algorithms for individualizing inference and actions in health management. Throughout the paper, we use a case study to concretely illustrate the impact of these trends. We conclude our paper with a discussion of the emerging directions, open issues, and challenges.

Patient self-testing in chronic disease management

Chronic disease poses a major burden to patients and health care systems. This review considers how patient self-testing can contribute to the management of chronic disease. Self-testing can only confer benefit if it occurs in the context of an empowered patient who has the skills and training to translate test results into meaningful actions. The benefits may include improved clinical outcomes, greater patient convenience and improved psychological well-being; separately and together these may contribute to reduced costs of care. As self-testing may be expensive and burdensome to patients, it is important that its use in chronic disease is supported by a robust evidence base confirming its utility and efficacy. The design of studies to assess the impact of self-testing poses challenges for the researcher and the quality of evidence presented is often variable. Randomised controlled trials (RCTs) provide more robust evidence than observational studies; the intervention under study is not just self-testing but includes the educational support to allow patients to use results effectively. This review discusses the evidence base relating to patient self-testing in diabetes, anticoagulant monitoring and in renal transplant patients and in particular highlights the impact of new technology developments such as flash glucose monitoring in diabetes.

An evidence-based approach to developing low-carbohydrate diets for type 2 diabetes management: A systematic review of interventions and methods

AIM

To identify core diet and delivery components of low-carbohydrate (CHO) diets that have demonstrated efficacy for type 2 diabetes (T2D) management.

MATERIALS AND METHODS

MEDLINE, Pre-MEDLINE, EMBASE, CINAHL and the Cochrane Library of Controlled Trials databases were systematically searched from inception until August 18, 2018. Primary intervention studies of low-CHO diets (≤130 g/d or 26% total energy intake [TEI]) were included. Content analysis was performed on the low-CHO diet protocols classified as safe and effective for T2D management.

RESULTS

A total of 41 studies published between 1963 and 2018 were included, of which 40 were classified as safe and effective for inclusion in the primary analysis. Thirteen studies (13/40) were on very-low-CHO diets (<50 g/d), 14/40 included low-CHO diets (≤130 g/d or 26% TEI), and 13/40 were adapted according to participant progress. Thirty-one studies reported a total energy prescription, of which 18/31 encouraged ad libitum intakes. Twenty studies reported a prescribed dietary fat amount, of which 18/20 were unrestricted or high-fat (>35% TEI). Twenty-six studies reported a prescribed dietary protein amount, of which 22 were unrestricted or were high-protein (>25% TEI). The types of dietary CHO, fat and protein recommended were predominantly whole foods. Common delivery methods reported were dietician and/or physician involvement, moderate to high frequency of contact (≥1 session/month) and use of participant self-monitoring.

CONCLUSIONS

Multiple approaches for developing and delivering a low-CHO diet intervention for T2D management are safe and effective. A comprehensive set of core dietary components to consider in the formulation of low-CHO diet protocols were identified for use in clinical practice and to inform evidence-based guidelines for T2D management.

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.

Frequency of Self-Monitoring of Blood Glucose during the School Day Is Associated with the Optimal Glycemic Control among Korean Adolescents with Type 1 Diabetes

BACKGROUND

This study aimed to evaluate the relationship between the frequency of self-monitoring of blood glucose (SMBG) and glycosylated hemoglobin (HbA1c) levels among Korean adolescents with type 1 diabetes mellitus (T1DM). Factors affecting the SMBG frequency were analyzed in order to improve their glycemic control.

METHODS

Sixty-one adolescents aged 13 to 18 years with T1DM were included from one tertiary center. Clinical and biochemical variables were recorded. Factors associated with SMBG frequency were assessed using structured self-reported questionnaires.

RESULTS

Average total daily SMBG frequency was 3.8±2.1 and frequency during the school day was 1.3±1.2. The mean HbA1c level was 8.6%±1.4%. As the daily SMBG frequency increased, HbA1c levels declined (P=0.001). The adjusted odds of achieving the target HbA1c in participants who performed daily SMBG ≥5 significantly increased 9.87 folds (95% confidence interval [CI], 1.58 to 61.70) compared with those performed SMBG four times a day. In the subjects whose SMBG frequency <1/day during the school day, an 80% reduction in the adjusted odds ratio 0.2 (95% CI, 0.05 to 0.86) showed compared to the group with performing two SMBG measurements in the school setting. The number of SMBG testing performed at school was significantly high for individuals assisted by their friends (P=0.031) and for those who did SMBG in the classrooms (P=0.039).

CONCLUSION

Higher SMBG frequency was significantly associated with lower HbA1c in Korean adolescents with T1DM. It would be necessary to establish the school environments that can facilitate adequate glycemic control, including frequent SMBG.

Cost Calculation for a Flash Glucose Monitoring System for Adults with Type 2 Diabetes Mellitus Using Intensive Insulin - a UK Perspective

Aims: Estimate the costs associated with flash glucose monitoring as a replacement for routine self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes mellitus (T2DM) using intensive insulin, from a UK National Health Service (NHS) perspective. Methods: The base-case cost calculation used the frequency of SMBG and healthcare resource use observed in the REPLACE trial. Scenario analyses considered SMBG at the flash monitoring frequencies observed in the REPLACE trial (8.3 tests per day) and a real-world analysis (16 tests per day). Results: Compared with 3 SMBG tests per day, flash monitoring would cost an additional £585 per patient per year, offset by a £776 reduction in healthcare resource use, based on reductions in emergency room visits (41%), ambulance call-outs (66%) and hospital admissions (77%) observed in the REPLACE trial. Per patient, the estimated total annual cost for flash monitoring was £191 (13.4%) lower than for SMBG. In the scenarios based on acquisition cost alone, flash monitoring was cost-neutral versus 8.3 SMBG tests per day (5% decrease) and cost-saving at higher testing frequencies. Conclusion: From a UK NHS perspective, for patients with T2DM using intensive insulin, flash monitoring is potentially cost-saving compared with routine SMBG irrespective of testing frequency.

Role of Social Factors in Glycemic Control Among African American Children and Adolescents with Type 1 Diabetes

OBJECTIVE

With the rising incidence of Type 1 diabetes (T1DM), it is important to recognize deficiencies in care and areas of improvement to provide better access to resources and education for T1DM patients. The objective of this study was to recognize social factors and compliance barriers affecting glycated hemoglobin (A1c) level in T1D patients among the minority population.

METHODS

A total of 84 T1DM patients, ages 3 to 21 years, 49% males, 87% African American participated in the study. Study questionnaires assessing patient knowledge and other variables were distributed and patient charts were reviewed retrospectively to obtain relevant clinical data. T-tests, one-way ANOVA and spearman correlation were used for analysis.

RESULTS

Mean A1c in our study was 10.5% and mean knowledge score was 10.1 out of 14. There was no significant correlation (r = 0.12, p = 0.26) between A1c and patients' knowledge scores. Patients with more frequent blood sugar (BS) monitoring (3-4 times/day) had 2 points lower A1c (9.6 vs 11.6 %, 95% CI 0.2-3.7, p = 0.03) than those with 2 or less times/day. No significant difference in A1c between 3-4 checks/day vs >4 checks/day BS checks. Most patients reported 'forgetfulness' (19%) followed by 'too time consuming' (17.9%) as barriers to daily BS monitoring. There was no significant difference in A1c between pen or pump users (10.5 vs 10.2 %, p = 0.55). Surprisingly, those with home supervision had higher A1c than those without (10.7 vs 9.6 %, p = 0.04) while there was no significant difference between those with or without nurse supervision at school (10.6 vs 9.8 %, p = 0.33). Those reporting happy mood interestingly had higher A1c than those with sad/depressed mood (10.7 vs 9.4 %, p = 0.04). On multiple linear regression analysis, frequency of BS checks, home supervision and mood were the most significant predictors of A1c and altogether explained 20% of the variability in A1c.

CONCLUSION

Frequent BS monitoring is associated with lower A1c. Supervision at home and school did not improve A1c, but it was self-reported information. Mood did not affect A1c contrary to that reported in other studies.

Continuous Glucose Monitoring (CGM) or Blood Glucose Monitoring (BGM): Interactions and Implications

At the 2017 10th annual International Conference on Advanced Technologies and Treatments for Diabetes (ATTD) in Paris, France, four speakers presented their perspectives on the roles of continuous glucose monitoring (CGM) and of blood glucose monitoring (BGM) in patient management within one symposium. These presentations included discussions of the differences in the accuracy of CGM and BGM, a clinical perspective on the physiological reasons behind differences in CGM and BGM values, and an overview of the impact of variations in device accuracy on patients with diabetes. Subsequently a short summary of these presentations is given, highlighting the value of good accuracy of BGM or CGM systems and the ongoing need for standardization. The important role of both BGM and CGM in patient management was a theme across all presentations.

A Randomized Clinical Trial of the Effect of Continuous Glucose Monitoring on Nocturnal Hypoglycemia, Daytime Hypoglycemia, Glycemic Variability, and Hypoglycemia Confidence in Persons with Type 1 Diabetes Treated with Multiple Daily Insulin Injections (GOLD-3)

BACKGROUND

To evaluate the effects of continuous glucose monitoring (CGM) on nocturnal and daytime hypoglycemia in persons with type 1 diabetes treated with multiple daily insulin injections (MDI); we also evaluated factors related to differences in hypoglycemia confidence in this population.

METHODS

Evaluations were performed from the GOLD randomized trial, an open-label multicenter crossover randomized clinical trial (n = 161) over 69 weeks comparing CGM to self-measurement of blood glucose (SMBG) in persons with type 1 diabetes treated with MDI. Masked CGM and the hypoglycemia confidence questionnaire were used for evaluations.

RESULTS

Time with nocturnal hypoglycemia, glucose levels <70 mg/dL was reduced by 48% (10.2 vs. 19.6 min each night, P < 0.001) and glucose levels <54 mg/dL by 65%. (3.1 vs. 8.9 min, P < 0.001). For the corresponding glucose cutoffs, daytime hypoglycemia was reduced by 40% (29 vs. 49 min, P < 0.001) and 54% (8 vs. 18 min., P < 0.001), respectively. Compared with SMBG, CGM use improved hypoglycemia-related confidence in social situations (P = 0.016) and confidence in more broadly avoiding serious problems due to hypoglycemia (P = 0.0020). Persons also reported greater confidence in detecting and responding to decreasing blood glucose levels (thereby avoiding hypoglycemia) during CGM use (P = 0.0033) and indicated greater conviction that they could more freely live their lives despite the risk of hypoglycemia (P = 0.022).

CONCLUSION

CGM reduced time in both nocturnal and daytime hypoglycemia in persons with type 1 diabetes treated with MDI and improved hypoglycemia-related confidence, especially in social situations, thus contributing to greater well-being and quality of life.

TRIAL REGISTRATION

ClinicalTrials.gov , number NCT02092051.

Effects of three frequencies of self-monitored blood glucose on HbA1c and quality of life in patients with type 2 diabetes with once daily insulin and stable control: a randomized trial

Objective

The optimal frequency of self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes (T2DM) with stable glycemic control is unknown. This study investigated effects of 3 frequencies of SMBG on glycemic control and quality of life after 9 months in patients using one long-acting insulin injection a day. In an open-label, multi-center, primary-care, parallel (1:1:1) randomized trial in the Netherlands including patients with T2DM, HbA1c ≤ 58 mmol/mol (≤ 7.5%), stable glycemic control, treated with one insulin injection daily, three frequencies of 4-point glucose measurements (before meals and bedtime) were weekly (n = 22), every 2 weeks (n = 16) and monthly (n = 20) were compared.

Results

A total of 58 patients with T2DM were included by 38 general practitioners, which was lower then anticipated. There were no significant between group differences in HbA1c (mmol/mol); group C compared to A and B; − 2.7 (95% CI − 6.4, 1.0) and − 1.0 (95% CI − 4.9, 3.0) and quality of life. Baring in mind the lower than anticipated inclusion rate, there were no significant differences in HbA1c and quality of life between three different frequencies of SMBG in patients with stable glycemic control using one long-acting insulin injection.

Trial registration NCT01460459, registered 10-2011, recruitment between 05-2011 and 12-2011

Electronic supplementary material

The online version of this article (10.1186/s13104-018-3138-7) contains supplementary material, which is available to authorized users.

Prevalence and Predictors of Home Use of Glucometers in Diabetic Patients

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a critical component of diabetes care. However, it has been shown that use of glucometers in developing countries such as Pakistan is limited. The aim of this study was to determine the frequency of glucometer usage in the urban diabetic population of Karachi and to identify variables that influenced the likelihood of practice of SMBG.

METHODS

A cross-sectional study was conducted among 567 adult diabetic patients selected at random from the out-patient departments of multiple healthcare institutions in Karachi categorized into two settings; Government and Private. Non-diabetics, patients having gestational diabetes, diabetes insipidus and Cushing's syndrome and terminally ill patients were excluded. Pearson Chi-square and Mann-Whitney U test were applied as the primary statistical method.

RESULTS

Prevalence of home glucometer usage was 59% (n= 331). High socioeconomic status (p < 0.001), receiving care from private institutions (p < 0.001), higher education (p < 0.001), a family history of diabetes (p =0.001), awareness regarding diabetes (p < 0.001), having diabetes for > five years (p <0.001), and managing diabetes via pharmacological interventions (p <0.001) (versus diet and exercise) were significant positive predictors of glucometer usage.

CONCLUSIONS

Our study demonstrates the increasing trend in use of SMBG. Lack of awareness and cost of glucometers were reported to be the main reasons for not practicing SMBG. Given these factors are easily modifiable, government subsidized initiatives and awareness programs can result in a successful public health strategy to promote SMBG.

A mixed-methods needs assessment of adult diabetes mellitus (type II) and hypertension care in Toledo, Belize

BACKGROUND

Non-communicable diseases, including diabetes mellitus and hypertension, continue to disproportionately burden low- and middle-income countries. However, little research has been done to establish current practices and management of chronic disease in these settings. The objective of this study was to examine current clinical management and identify potential gaps in care of patients with diabetes mellitus and hypertension in the district of Toledo, Belize.

METHODS

The study used a mixed methodology to assess current practices and identify gaps in diabetes mellitus and hypertension care. One hundred and twenty charts of the general clinic population were reviewed to establish disease epidemiology. One hundred and seventy-eight diabetic and hypertensive charts were reviewed to assess current practices. Twenty providers completed questionnaires regarding diabetes mellitus and hypertension management. Twenty-five individuals with diabetes mellitus and/or hypertension answered a questionnaire and in-depth interview.

RESULTS

The prevalence of diabetes mellitus and hypertension was 12%. Approximately 51% (n = 43) of patients with hypertension were at blood pressure goal and 26% (n = 21) diabetic patients were at glycemic goal based on current guidelines. Of the patients with uncontrolled diabetes, 49% (n = 29) were on two oral agents and only 10% (n = 6) were on insulin. Providers stated that barriers to appropriate management include concerns prescribing insulin and patient health literacy. Patients demonstrated a general understanding of the concept of chronic illness, however lacked specific knowledge regarding disease processes and self-management strategies.

CONCLUSIONS

This study provides an initial overview of diabetes mellitus and hypertension management in a diverse patient population in rural Belize. Results indicate areas for future investigation and possible intervention, including barriers to insulin use and opportunities for lifestyle-specific disease education for patients.

Adherence of self-monitoring of blood glucose in persons with type 1 diabetes in Sweden

OBJECTIVE

The primary aim was to evaluate the extent to which persons with type 1 diabetes perform self-monitoring of blood glucose (SMBG) according to guidelines. Secondary objectives were to investigate predictors for good SMBG adherence, reasons for non-adherence, and association between SMBG frequency and hemoglobin A1c (HbA1c).

METHODS

This was a survey-based cross-sectional study. Questionnaires were sent out to 600 random patients at five sites. Patients were included if they were diagnosed with type 1 diabetes and ≥18 years old and excluded if they were currently using continuous glucose monitoring (CGM). Analysis of data was performed separately for the three sites where the answer frequency was ≥70%.

RESULTS

In total, 138 of 314 study participants, 43.9% (95% CI 38.5% to 49.4%) performed SMBG ≥4 times per day. For the three clinics where ≥70% of surveyed patients were included in the analysis, results were similar, 41.3% (95% CI 34.7% to 47.8%). Top three reported reasons for not performing more frequent SMBG were lack of time, not remembering, and self-consciousness. Frequency of SMBG was associated with HbA1c levels (p<0.0001). 30% of patients believed that ≤3 SMBG/day was recommended by healthcare providers.

CONCLUSIONS

Less than 50% of patients in Sweden follow guidelines of SMBG ≥4 times per day, despite glucose meters and strips being generally available at no cost. This indicates a need for further support in performing SMBG and increased availability of other tools for glucose monitoring.

Predictor effect of Locus Of Control (LOC) on self-care activities and metabolic control in individuals with type 2 diabetes

Background

Previous studies have examined the role of individuals’ personal characteristics in diabetes management and used the locus of control theory to assess adherence to a diabetes management regimen. These studies have emphasized that having internal locus of control may be a protective factor in diabetes management.

Objective

The purpose of this study is to determine the predictor effect of locus of control on self-care activities and A1c level.

Method

The study is descriptive and relational. Researchers used a Diabetes Self-Care Activities Scale and a Locus of Control Scale to collect data. The study sample consisted of 129 individuals with type 2 diabetes.

Results

The average score of locus of control of individuals with diabetes was 10.26, and the frequency of self-care activities in the past week was 2.9 days. A weak but statistically significant negative relation was found between the locus of control level and self-care activities of individuals with diabetes, which had no effect on A1c. It was determined that locus of control predicts 19% of self-care activities.

Conclusion

According to the study results, having internal locus of control had positive effects on self-care activities. Training and planning activities to improve internal locus of control can improve diabetes management.

Glycemic control and adherence to basal insulin therapy in Taiwanese patients with type 2 diabetes mellitus

AIMS/INTRODUCTION

The aim of the present study was to assess the glycemic control, adherence and treatment satisfaction in a real-world setting with basal insulin therapy in type 2 diabetes patients in Taiwan.

MATERIALS AND METHODS

This was a multicenter, prospective, observational registry. A total of 836 patients with type 2 diabetes taking oral antidiabetic drugs with glycated hemoglobin (HbA1c) >7% entered the study. Basal insulin was given for 24 weeks. All treatment choices and medical instructions were at the physician's discretion to reflect real-life practice.

RESULTS

After 24-week treatment, 11.7% of patients reached set HbA1c goals without severe hypoglycemia (primary effectiveness end-point). HbA1c and fasting blood glucose were significantly decreased from (mean ± SD) 10.1 ± 1.9% to 8.7 ± 1.7% (-1.4 ± 2.1%, P < 0.0001) and from 230.6 ± 68.8 mg/dL to 159.1 ± 55.6 mg/dL (-67.4 ± 72.3 mg/dL, P < 0.0001), respectively. Patients received insulin therapy at a frequency of nearly one shot per day on average, whereas self-monitoring of blood glucose was carried out approximately four times a week. Hypoglycemia was reported by 11.4% of patients, and only 0.7% of patients experienced severe hypoglycemia. Slight changes in weight (0.7 ± 2.4 kg) and a low incidence of adverse drug reactions (0.4%) were also noted. The score of 7-point treatment satisfaction rated by patients was significantly improved by 1.9 ± 1.7 (P < 0.0001).

CONCLUSIONS

Basal insulin therapy was associated with a decrease in HbA1c and fasting blood glucose, and an improved treatment satisfaction. Most patients complied with physicians' instructions. The treatment was generally well tolerated by patients with type 2 diabetes, but findings pointed out the need to reinforce the early and appropriate uptitration to achieve treatment targets.

Brazilian multicenter study for the evaluation of patients' satisfaction of blood glucose self-monitoring with BGStar(®) blood glucose meter in insulinized patients with diabetes mellitus type 1 and 2

BACKGROUND

Diabetes mellitus (DM) is considered a global epidemic, and patient self-management education and support are critical in preventing and reducing the risk of complications. Self-monitoring of blood glucose (SMBG) is essential for care of individuals with DM, helping patients to achieve and maintain target blood glucose levels. The purpose of this study is to compare the satisfaction of insulinized DM patients on SMBG with use of investigational blood glucose meter (BGM) versus their routine device.

METHODS

A national, multicenter, open-label, phase 4 study was conducted on patients with type 1 or 2 DM under insulin therapy regimen, who were asked to use investigational BGM instead of their usual BGM device. The study was performed in 12 centers in Brazil for 12 weeks, with an extension period of 12 weeks. The primary endpoint was to measure the variation on the patients' level of satisfaction with investigational versus routine BGM, between visits, using a Visual Analogue Scale (VAS). Secondary endpoints addressed handling aspects, satisfaction, adherence and level of functionality and safety of investigational BGM.

RESULTS

The study included 292 patients (36.6 % DM1 and 63.4 % DM2), mean age 50.9 years old (±17.3 years), 57.5 % females. There was statistically significant improvement in global satisfaction with investigational BGM compared with routine BGM according to VAS [mean VAS score raised from 78.8 mm (SD = 18.0) to 90.8 mm (SD = 12.2) between visits]. After 12 weeks, level of satisfaction with investigational BGM according to questionnaires was superior to routine BGM regardless of age group (p < 0.001), type of DM (p < 0.001) or insulin regimen (p < 0.001). Investigational BGM was also regarded as safe, with 10 patients (3.4 %) reporting a total of 13 adverse events during the study.

CONCLUSIONS

Levels of satisfaction during SMBG were higher with use of investigational BGM and the device was deemed safe and easy to handle.

Knowledge of symptoms and self-management of hypoglycaemia amongst patients attending a diabetic clinic at a regional hospital in KwaZulu-Natal

BACKGROUND

Diabetic patients on insulin and sulphonylureas are at risk of developing hypoglycaemia. Many patients do not respond appropriately because of poor knowledge and understanding of the symptoms of hypoglycaemia, which if not promptly treated can lead to permanent neurological and renal damage. Hypoglycaemic complications can be avoided if patients have a good knowledge of the early symptoms of hypoglycaemia and know how to respond appropriately.

AIM

The aim of this study was to assess the knowledge of adult diabetic patients attending a diabetic clinic about symptoms of hypoglycaemia and how they responded to these symptoms.

SETTING

A hospital-based diabetic clinic in northern KwaZulu-Natal.

METHODS

This was a cross-sectional, descriptive study involving 200 diabetic patients. Demographic data and details of current medication, knowledge of hypoglycaemia and how patients responded to the symptoms were collected using a validated questionnaire.

RESULTS

The majority of the patients had fair to good knowledge of hypoglycaemia; however, less than 25% knew what action to take when they experienced symptoms suggestive of hypoglycaemia.

CONCLUSION

There is a need to improve the education given to diabetic patients on stepwise measures to take to avoid life-threatening complications associated with hypoglycaemia.

Design and Methods of a Randomized Trial of Continuous Glucose Monitoring in Persons With Type 1 Diabetes With Impaired Glycemic Control Treated With Multiple Daily Insulin Injections (GOLD Study)

BACKGROUND

The majority of individuals with type 1 diabetes today have glucose levels exceeding guidelines. The primary aim of this study was to evaluate whether continuous glucose monitoring (CGM), using the Dexcom G4 stand-alone system, improves glycemic control in adults with type 1 diabetes treated with multiple daily insulin injections (MDI).

METHODS

Individuals with type 1 diabetes and inadequate glycemic control (HbA1c ≥ 7.5% = 58 mmol/mol) treated with MDI were randomized in a cross-over design to the Dexcom G4 versus conventional care for 6 months followed by a 4-month wash-out period. Masked CGM was performed before randomization, during conventional treatment, and during the wash-out period to evaluate effects on hypoglycemia, hyperglycemia, and glycemic variability. Questionnaires were used to evaluate diabetes treatment satisfaction, fear of hypoglycemia, hypoglycemia confidence, diabetes-related distress, overall well-being, and physical activity during the different phases of the trial. The primary endpoint was the difference in HbA1c at the end of each treatment phase.

RESULTS

A total of 205 patients were screened, of whom 161 were randomized between February and December 2014. Study completion is anticipated in April 2016.

CONCLUSIONS

It is expected that the results of this study will establish whether using the Dexcom G4 stand-alone system in individuals with type 1 diabetes treated with MDI improves glycemic control, reduces hypoglycemia, and influences quality-of-life indicators and glycemic variability.

Helping Adolescents with Type 1 Diabetes "Figure It Out"

The aim of this study was to gain an understanding of adolescent's experiences living with diabetes and build a theoretical paradigm for future interventions in adolescents with type 1 diabetes mellitus (T1DM). The adolescent's quest for independence, balancing blood sugars, and integrating diabetes led to increased conflict with parents which contributed to difficulty coping. One code in this study, "figuring it out", is the focus of this manuscript.

METHODS

Grounded theory with 15 in depth interviews were conducted with adolescents ages 11 to 15 with T1DM.

RESULTS

A theoretical model about the concept of "normalizing" was identified. Normalizing was defined as the ability to integrate diabetes into the background of one's daily life to make diabetes 'part of me'. The fifth phase of normalizing was "Figuring it out" which had 4 sub codes: (1) learning to accept diabetes, (2) believing it's possible to manage their diabetes, (3) showing responsibility, and (4) staying on track, and the normalizing task was "accepting the new normal".

CONCLUSIONS

Adolescents with T1DM develop the understanding that diabetes is their 'new normal'. The use of motivational interviewing, goal setting, and promotion of self-management may be important interventions in supporting adolescents with T1DM to normalize their life.

Psychosocial Predictors and Outcomes of Delayed Breast Reconstruction in Mastectomized Women in Mainland China: An Observational Study

Background

The aim of the present study was to evaluate potential psychosocial factors that impact Chinese female breast cancer patients to select breast reconstruction (BR), and potential connection of psychosocial outcomes with their satisfaction with BR.

Methods

A total of 264 female breast cancer patients with mastectomy were recruited from 2012 to 2014. All patients were informed with BR options at their first visit. Personal and medical profiles were collected. Body image, self-esteem, depression and anxiety were assessed using validated scales. Patients who were selected to undergo BR after the first visit were followed up for six months. The same assessment was performed at 6 months post BR, and their satisfaction with BR was evaluated using the Alderman scale. Multivariate linear and logistic regressions were performed.

Results

Forty-seven percent of the patients (126/264) opted to undergo BR within six months after the initial visit. Multivariate logistic regression analysis revealed that self-esteem (P < 0.05), body image (P < 0.01), education level (P < 0.05), and their husband’s recommendation (P < 0.05) were highly related to the patients’ decision to undergo BR. In addition, multivariate linear regression analysis showed that patient satisfaction with BR was significantly associated with preoperative body image (P < 0.01), postoperative improvement in self-esteem (P < 0.01), improvement in body image (P < 0.01), reduction in depression (P < 0.05), pain (P < 0.05), and scarring (P < 0.01).

Conclusions

The psychosocial factors including self-esteem and body image are highly related to selecting the BR option and post-BR satisfaction in Chinese female breast cancer patients.

High incidence of hypoglycemia in stable insulin-treated type 2 diabetes mellitus: continuous glucose monitoring vs. self-monitored blood glucose. Observational prospective study

OBJECTIVES

Hypoglycemia is a limiting factor in the achievement of strict glycemic control. The primary objective of this 9-week study was to determine the frequency of hypoglycemia in patients with stable insulin-treated type 2 diabetes mellitus by comparing self-monitored blood glucose (SMBG) measurement with continuous glucose monitoring (CGM).

METHODS

This was an observational prospective study. Included in the study were 63 stable, insulin-treated patients with type 2 diabetes. They were instructed to record 2 daily capillary blood glucose readings, pre- and/or postprandial, in a sequential way during 8 consecutive weeks. A CGM system was worn during an additional week. We evaluated the frequency of hypoglycemia using the 8-week SMBG profile and the 1 CGM week.

RESULTS

SMBG revealed that 50% of the patients had experienced hypoglycemia. CGM found hypoglycemia in 59% of patients. Significantly higher percentages of hyperglycemic and hypoglycemic episodes were detected by CGM than by capillary blood glucose measurements (61.1% vs. 50.8%; p=0.047) and (3.8% vs. 1.7%; p=0.016); 33% of patients experienced nocturnal hypoglycemia, and 19% of patients who had no data concerning hypoglycemia recorded in the capillary blood glucose diary had experienced hypoglycemia as measured by CGM, and the hypoglycemia occurred mainly during the nocturnal period.

CONCLUSIONS

In stable well-controlled, insulin-treated patients with type 2 diabetes, CGM showed higher numbers of hypoglycemic events than did SMBG, especially at night. CGM is a useful tool that provides clinically valuable information about glucose control in these patients.

A signal processing application for evaluating self-monitoring blood glucose strategies in a software agent model

We propose the signal processing technique of calculating a cross-correlation function and an average deviation between the continuous blood glucose and the interpolation of limited blood glucose samples to evaluate blood glucose monitoring frequency in a self-aware patient software agent model. The diabetic patient software agent model [1] is a 24-h circadian, self-aware, stochastic model of a diabetic patient's blood glucose levels in a software agent environment. The purpose of this work is to apply a signal processing technique to assist patients and physicians in understanding the extent of a patient's illness using a limited number of blood glucose samples. A second purpose of this work is to determine an appropriate blood glucose monitoring frequency in order to have a minimum number of samples taken that still provide a good understanding of the patient's blood glucose levels. For society in general, the monitoring cost of diabetes is an extremely important issue, and these costs can vary tremendously depending on monitoring approaches and monitoring frequencies. Due to the cost and discomfort associated with blood glucose monitoring, today, patients expect monitoring frequencies specific to their health profile. The proposed method quantitatively assesses various monitoring protocols (from 6 times per day to 1 time per week) in nine predefined categories of patient agents in terms of risk factors of health status and age. Simulation results show that sampling 6 times per day is excessive, and not necessary for understanding the dynamics of the continuous signal in the experiments. In addition, patient agents in certain conditions only need to sample their blood glucose 1 time per week to have a good understanding of the characteristics of their blood glucose. Finally, an evaluation scenario is developed to visualize this concept, in which appropriate monitoring frequencies are shown based on the particular conditions of patient agents. This base line can assist people in determining an appropriate monitoring frequency based on their personal health profile.

Relationship between metabolic control and self-monitoring of blood glucose in insulin-treated patients with diabetes mellitus

OBJECTIVE

To assess the relationship between metabolic control (MC) and frequency of self-monitoring of blood glucose (SMBG) in insulin-treated patients with type 1 (T1DM) and type 2 (T2DM) diabetes mellitus, and to analyze the factors associated to MC.

MATERIAL AND METHODS

A multicenter, cross-sectional, observational study was conducted in which endocrinologists enrolled diabetic patients treated with insulin who used a glucometer. The cut-off value for MC was HbA1c ≤ 7%. Grade of acceptance of the glucometer was assessed using a visual analogue scale (VAS).

RESULTS

A total of 341 patients (53.5% males) with a mean age (SD) 52.8 (16.3) years, mean HbA1c of 7.69% (1.25) and 128 (37.5%) with T1DM and 211 (61.9%) with T2DM were evaluable. SMBG was done by 86.1% at least once weekly. No relationship was seen between MC and SMBG (P=.678) in the overall sample or in the T1DM (P=.940) or T2DM (P=.343) subgroups. In the logistic regression model, hyperglycemic episodes (Exp-b [risk] 1.794, P=0.022), falsely elevated HbA1c values (Exp-b 3.182, P=.005), and VAS (Exp-b 1.269, P=.008) were associated to poor MC in the total sample. Hyperglycemic episodes (Exp-b 2.538, P=.004), falsely elevated HbA1c values (Exp-b 3.125, P=.012), and VAS (Exp-b 1.316, P=.026) were associated to poor MC in the T2DM subgroup, while body mass index (Exp-b 1.143, P=.046) was associated to poor MC in the T1DM subgroup.

CONCLUSIONS

In this retrospective, non-controlled study on patients with DM treated with insulin who used a glucometer, no relationship was seen between the degree of metabolic control and frequency of use of the glucometer.

Normalizing: adolescent experiences living with type 1 diabetes

PURPOSE

The purpose of this research study was to gain a greater understanding of adolescents' experiences living with diabetes and build a theoretical paradigm to inform interventional design.

METHODS

Classical grounded theory was utilized; 15 in-depth interviews of 11 subjects were conducted with Caucasian adolescents' ages 11 to 15 with type 1 diabetes. Interviews were recorded and transcribed verbatim. Data were analyzed using constant comparative analysis. Codes were linked to create the paradigm.

RESULTS

A theoretical model was developed about the concept of "normalizing." Normalizing is defined as the ability of the adolescents to integrate diabetes into the background of their daily life by creating routines to make diabetes "part of me." Codes identified in normalizing included: (1) recognizing life is changing, (2) taking action to prevent a crisis, (3) disclosing to engage support, (4) taking on the burden of care, (5) accepting the "new normal," and (6) hoping for a normal future.

CONCLUSIONS

Normal developmental tasks of adolescence were closely related and contribute to understanding why adolescents struggle with diabetes. These research findings place a different and positive perspective on diabetes management; the focus shifts to supporting wellness and maintaining a normal life rather than on illness. Findings are expected to be of value to health providers working with adolescents with type 1 diabetes, parents, nursing researchers, and adolescents facing the challenge of diabetes management.

Improving outcomes in patients with coexisting multimorbid conditions-the development and evaluation of the combined diabetes and renal control trial (C-DIRECT): study protocol

INTRODUCTION

Diabetes mellitus (DM) is the most common cause of end-stage renal disease (ESRD). Patients with diabetes on dialysis have worse clinical outcomes and increased psychological burden. The need to manage the combined treatment demands for both conditions is particularly challenging yet there is paucity of data of the barriers preventing optimal management to combined therapy for diabetes and kidney failure. The study aims to explore needs of patients and develop an intervention to enable people with diabetes and ESRD to better manage both their conditions.

METHODS AND ANALYSIS

A two-phase study comprising a mixed method observational study (phase I) and a feasibility trial (phase II). Phase I will seek to document outcomes and needs of the population (patients with DM-ESRD) and seek input on preferred delivery/implementation for the programme. Data will be collected with in-depth interviews with patients, caregivers and healthcare providers (N=50), and from a questionnaire-based survey (N=170). Phase 2 will build on these data to design and test the feasibility of a practical, low-intensity, clinic-integrated intervention using a self-management paradigm. The intervention will primarily seek to support behavioural change so as to improve adherence and clinical outcomes for DM as well as for ESRD. For the feasibility trial, we will be evaluating acceptability, retention and completion rates of the programme.

ETHICS AND DISSEMINATION

The study protocol has been approved by the local ethics committee and written informed consent is required from every participant. Findings will be disseminated through journals, conferences and will be used to create a fully manualised intervention (materials) and training course for facilitators.

Intensive diabetes management and goal setting are key aspects of improving metabolic control in children and young people with type 1 diabetes mellitus

Diabetes control in children remains poor in spite of advances in treatment for last 10 years. The aim of this review was to look at various aspects of intensive therapy in the management of type 1 diabetes such as insulin regimes, role of target setting, psycho-educational approaches and self-management. To achieve good metabolic control, clear goal setting with adequate support for self-management are essential. Psycho-educational and behavioural interventions aimed at specific areas of management have shown significant improvement in quality of life and diabetes control.

Structured SMBG in early management of T2DM: Contributions from the St Carlos study

Diabetes mellitus type 2 (T2DM) is a global pandemic that will affect 300 million people in the next decade. It has been shown that early and aggressive treatment of T2DM from the onset decreases complications, and the patient’s active role is necessary to achieve better glycemic control. In order to achieve glycemic control targets, an active attitude in patients is needed, and self-monitoring of blood glucose (SMBG) plays a significant role. Nowadays, SMBG has become an important component of modern therapy for diabetes mellitus, and is even more useful if it is performed in a structured way. SMBG aids physicians and patients to achieve a specific level of glycemic control and to prevent hypoglycemia. In addition, SMBG empowers patients to achieve nutritional and physical activity goals, and helps physicians to optimize the different hypoglycemic therapies as demonstrated in the St Carlos study. This article describes the different ways of using this educational and therapeutic tool from the medical point of view as well as from the patient’s perspective.

Self-monitoring of blood glucose in diabetes: from evidence to clinical reality in Central and Eastern Europe--recommendations from the international Central-Eastern European expert group

Self-monitoring of blood glucose (SMBG) is universally considered to be an integral part of type 1 diabetes management and crucial for optimizing the safety and efficacy of complex insulin regimens. This extends to type 2 diabetes patients on intensive insulin therapy, and there is also a growing body of evidence suggesting that structured SMBG is beneficial for all type 2 diabetes patients, regardless of therapy. However, access to SMBG can be limited in many countries in Central and Eastern Europe. A consensus group of diabetes experts from 10 countries in this region (with overlapping historical, political, and social environments)--Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Serbia, Slovakia, Slovenia, and Ukraine--was formed to discuss the role of SMBG across the spectrum of patients with diabetes. The group considered SMBG to be an essential tool that should be accessible to all patients with diabetes, including those with non-insulin-treated type 2 diabetes. The current article summarizes the evidence put forward by the consensus group and provides their recommendations for the appropriate use of SMBG as part of individualized patient management. The ultimate goal of these evidence-based recommendations is to help patients and providers in Central and Eastern Europe to make optimal use of SMBG in order to maximize the efficacy and safety of glucose-lowering therapies, to prevent complications, and to empower the patient to play a more active role in the management of their diabetes.

Insulin therapy in children and adolescents with type 1 diabetes

Treatment of type 1 diabetes mellitus (T1DM) requires lifelong administration of exogenous insulin. The primary goal of treatment of T1DM in children and adolescents is to maintain near-normoglycemia through intensive insulin therapy, avoid acute complications, and prevent long-term microvascular and macrovascular complications, while facilitating as close to a normal life as possible. Effective insulin therapy must, therefore, be provided on the basis of the needs, preferences, and resources of the individual and the family for optimal management of T1DM. To achieve target glycemic control, the best therapeutic option for patients with T1DM is basal-bolus therapy either with multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII). Many formulations of insulin are available to help simulate endogenous insulin secretion as closely as possible in an effort to eliminate the symptoms and complications of hyperglycemia, while minimizing the risk of hypoglycemia secondary to therapy. When using MDI, basal insulin requirements are given as an injection of long- or intermediate-acting insulin analogs, while meal-related glucose excursions are controlled with bolus injections of rapid-acting insulin analogs. Alternatively, CSII can be used, which provides a 24-h preselected but adjustable basal rate of rapid-acting insulin, along with patient-activated mealtime bolus doses, eliminating the need for periodic injections. Both MDI treatment and CSII therapy must be supported by comprehensive education that is appropriate for the individual needs of the patient and family before and after initiation. Current therapies still do not match the endogenous insulin profile of pancreatic β-cells, and all still pose risks of suboptimal control, hypoglycemia, and ketosis in children and adolescents. The safety and success of a prescribed insulin regimen is, therefore, dependent on self-monitoring of blood glucose and/or a continuous glucose monitoring system to avoid critical hypoglycemia and glucose variability. Regardless of the mode of insulin therapy, doses should be adapted on the basis of the daily pattern of blood glucose, through regular review and reassessment, and patient factors such as exercise and pubertal status. New therapy options such as sensor-augmented insulin pump therapy, which integrates CSII with a continuous glucose sensor, along with emerging therapies such as the artificial pancreas, will likely continue to improve safe insulin therapy in the near future.

Frequency of blood glucose testing among insulin-treated diabetes mellitus patients in the United Kingdom

BACKGROUND

Through a retrospective database analysis, this study seeks to provide an understanding of the utilization of SMBG by insulin therapy and diabetes type and to estimate healthcare costs of blood glucose monitoring in the UK diabetes population.

METHODS

Data were obtained from the IMS LifeLink Electronic Medical Record-Europe (EMR-EU) Database, a longitudinal database containing anonymized patient records from physician-practice data systems of office-based physicians in the UK. Depending on the insulin types used for type 1 and type 2 diabetes, patients were sub-categorized into one of four insulin regimen groups (basal, bolus, pre-mixed, or basal-bolus). Frequency of blood glucose testing was assessed descriptively throughout the 12-month post-index period, and generalized linear models were used to evaluate the effect of baseline characteristics, including insulin type, on the likelihood of blood glucose test utilization. Healthcare resource utilization and costs for all-cause services were assessed by insulin type.

RESULTS

This study identified 8322 type 1 and type 2 diabetes patients with two insulin pharmacy records between January 1, 2009 and December 31, 2010. After applying study inclusion and exclusion criteria, a total of 2676 (32.2%) insulin-treated diabetes mellitus patients in the UK were identified, with the number of pharmacy blood glucose test strips averaging 771.1 (median 600). The glucose testing frequency was lowest among basal-only insulin patients and pre-mixed insulin patients (mean=576.2 [median=450] and mean=599.5 [median=500], respectively; non-significantly different) compared to other insulin types.

CONCLUSION

Although the data did not capture the glucose frequency comprehensively, it varied significantly by insulin types, and was higher than what is recommended in the guidelines for patients with type 2 diabetes.

What is so tough about self-monitoring of blood glucose? Perceived obstacles among patients with Type 2 diabetes

AIMS

To identify patient-reported obstacles to self-monitoring of blood glucose among those with Type 2, both insulin users and non-insulin users, and to investigate how obstacles are associated with frequency of self-monitoring and use of self-monitoring data.

METHODS

Patients with Type 2 diabetes (n = 886, 65% insulin users) who attended a 1-day diabetes education conference in cities across the USA completed a survey on current and recommended self-monitoring of blood glucose frequency, how they used self-monitoring results and perceived obstacles to self-monitoring use. Exploratory factor analysis examined 12 obstacle items to identify underlying factors. Regression analyses examined associations between self-monitoring of blood glucose use and the key obstacle factors identified in the exploratory factor analysis.

RESULTS

Three obstacle factors emerged: Avoidance, Pointlessness and Burden. Avoidance was the only significant independent predictor of self-monitoring frequency (β = -0.23, P < 0.001). Avoidance (β = -0.12, P < 0.01) and Pointlessness (β = -0.15, P < 0.001) independently predicted how often self-monitoring data were shared with healthcare professionals and whether or not data were used to make management adjustments (Avoidance: odds ratio = 0.74, P < 0.001; Pointlessness: odds ratio = 0.75, P < 0.01). Burden was not associated with any of the self-monitoring behavioural measures. Few differences between insulin users and non-insulin users were noted.

CONCLUSIONS

Obstacles to self-monitoring of blood glucose use, both practical and emotional, were common. Higher levels of Avoidance and Pointlessness, but not Burden, were associated with less frequent self-monitoring use. Addressing patients' self-monitoring-related emotional concerns (Avoidance and Pointlessness) may be more beneficial in enhancing interest and engagement with self-monitoring of blood glucose than focusing on day-to-day, behavioural issues (Burden).