Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study

Use of an integrated strip-free blood glucose monitoring system increases frequency of self-monitoring and improves glycemic control: Results from the ExAct study

Aims

We investigated the impact of using an integrated, strip-free system compared to the use of single-strip systems on testing frequency and glycemic control in individuals with insulin-treated diabetes.

Methods

This multinational, comparative, cluster-randomized, observational study included 311 patients with type 1 and insulin-treated type 2 diabetes who were performing SMBG at suboptimal frequencies. Sites were cluster-randomized to “integrated strip-free” system (EXP group) or any “single-strip” system (CNL group). Testing frequency and HbA1c were measured at baseline, 12 weeks and 24 weeks.

Results

At week 24, the EXP group showed an increase in SMBG frequency from baseline of 4.17 tests/week (95% CI 2.76, 5.58) compared with an increase of 0.53 tests/week (95% CI −0.73, 1.79) among CNL patients, resulting in a between-group difference of 3.63 tests/week (p < 0.0002). Mixed-effects models for repeated measurements (MMRM) controlling for baseline frequency of testing, country and clinical site confirmed a higher SMBG testing frequency in the EXP group compared to the CNL group, with a between-group difference of 2.70 tests/week (p < 0.01). Univariate analysis showed greater HbA1c reductions in the EXP group than CNL group: −0.44% (95% CI −0.59, −0.29) vs. −0.13% (95% CI −0.27, 0.01), respectively, p < 0.0002. MMRM analyses confirmed these HbA1c reductions. A greater percentage of EXP than CNL patients achieved HbA1c reductions of ≥0.5%: 45.1% vs. 29.1%, respectively, p < 0.01.

Conclusions

The use of an integrated, strip-free SMBG system improved testing adherence and was associated with improvements in glycemic control.

System accuracy evaluation of the GlucoRx nexus voice TD-4280 blood glucose monitoring system

Use of blood glucose (BG) meters in the self-monitoring of blood glucose (SMBG) significantly lowers the risk of diabetic complications. With several BG meters now commercially available, the International Organization for Standardization (ISO) ensures that each BG meter conforms to a set degree of accuracy. Although adherence to ISO guidelines is a prerequisite for commercialization in Europe, several BG meters claim to meet the ISO guidelines yet fail to do so on internal validation. We conducted a study to determine whether the accuracy of the GlucoRx Nexus TD-4280 meter, utilized by our department for its cost-effectiveness, complied with ISO guidelines. 105 patients requiring laboratory blood glucose analysis were randomly selected and reference measurements were determined by the UniCel DxC 800 clinical system. Overall the BG meter failed to adhere to the ≥95% accuracy criterion required by both the 15197:2003 (overall accuracy 92.4%) and 15197:2013 protocol (overall accuracy 86.7%). Inaccurate meters have an inherent risk of over- and/or underestimating the true BG concentration, thereby risking patients to incorrect therapeutic interventions. Our study demonstrates the importance of internally validating the accuracy of BG meters to ensure that its accuracy is accepted by standardized guidelines.

An exploratory trial of basal and prandial insulin initiation and titration for type 2 diabetes in primary care with adjunct retrospective continuous glucose monitoring: INITIATION study

AIMS

To evaluate basal and prandial insulin initiation and titration in people with type 2 diabetes mellitus (T2DM) in primary care and to explore the feasibility of retrospective-continuous glucose monitoring (r-CGM) in guiding insulin dosing. The new model of care features General Practitioners (GPs) and Practice Nurses (PNs) working in an expanded role, with Credentialed Diabetes Educator - Registered Nurse (CDE-RN) support.

METHODS

Insulin-naïve T2DM patients (HbA1c >7.5% [>58 mmol/mol] despite maximal oral therapy) from 22 general practices in Victoria, Australia commenced insulin glargine, with glulisine added as required. Each was randomised to receive r-CGM or self-monitoring of blood glucose (SMBG). Glycaemic control (HbA1c) was benchmarked against specialist ambulatory patients referred for insulin initiation.

RESULTS

Ninety-two patients mean age (range) 59 (28-77) years; 40% female; mean (SD) diabetes duration 10.5 (6.1) years participated. HbA1c decreased from (median (IQR)) 9.9 (8.8, 11.2)%; 85 (73, 99) mmol/mol to 7.3 (6.9, 7.8)%; 56 (52, 62) mmol/mol at 24 weeks (p < 0.0001). Comparing r-CGM (n = 46) with SMBG (n = 42), there were no differences in major hypoglycaemia (p=0.17) or ΔHbA1c (p = 0.31). More r-CGM than SMBG participants commenced glulisine (26/48 vs. 7/44; p < 0.001). Results were comparable to 82 benchmark patients, with similar low rates of major hypoglycaemia (2/89 vs. 0/82; p = 0.17) and less loss to follow up in the INITIATION group (3/92 vs. 14/82; p = 0.002).

CONCLUSIONS

Insulin initiation and titration for T2DM patients in primary care was safe and improved HbA1c with low rates of major hypoglycaemia. CDE-RNs were effective in a new consultant role. r-CGM use in primary care was feasible and enhanced post-prandial hyperglycaemia recognition. Trial registration ACTRN12610000797077.

Diabetes guidelines may delay timely adjustments during treatment and might contribute to clinical inertia

Clinical inertia and poor knowledge by many physicians play an important role in delaying diabetes control. Among other guidelines, the Position Statement of the American Diabetes Association/European Association for the Study of Diabetes on Management of Hyperglycemia in Type 2 Diabetes is a respected guideline with high impact on this subject in terms of influencing physicians in the definition of strategic approach to overcome poor glycemic control. But, on the other hand, it carries a recommendation that might contribute to clinical inertia because it can delay the needed implementation of more vigorous, intensive, and effective strategies to overcome poor glycemic control within a reasonable time frame during the evolution of the disease. The same is true with other respected algorithms from different diabetes associations. Together with pharmacological interventions, diabetes education and more intensive blood glucose monitoring in the initial phases after the diagnosis are key strategies for the effective control of diabetes. The main reason why a faster glycemic control should be implemented in an effective and safe way is to boost the confidence and the compliance of the patient to the recommendations of the diabetes care team. Better and faster results in glycemic control can only be safely achieved with educational strategies, structured self-monitoring of blood glucose, and adequate pharmacological therapy in the majority of cases.

7(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG), May 8-10, 2014, Helsinki, Finland

International experts in the fields of diabetes, diabetes technology, endocrinology, mobile health, sport science, and regulatory issues gathered for the 7(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG). The aim of this meeting was to facilitate new collaborations and research projects to improve the lives of people with diabetes. The 2014 meeting comprised a comprehensive scientific program, parallel interactive workshops, and two keynote lectures.

Treatment with novel galactomannan derivative reduces 2-hour postprandial glucose excursions in individuals with type 2 diabetes treated with oral medications and/or insulin

Galactomannan is an insoluble polysaccharide that has been shown to reduce postprandial excursions. We assessed the impact of a novel galactomannan derivative (PAZ320) on the magnitude of 2-hour postprandial glucose excursions in individuals with type 2 diabetes who were being treated with oral medication and/or insulin. Investigators recently reported findings from a single-center, open-label, prospective study that evaluated the efficacy of PAZ320 in 24 subjects with type 2 diabetes who were treated with oral antidiabetic agents and/or insulin. End points included adverse events and area under the curve during 3-hour postprandial glucose excursion (gAUC). Subjects consumed a test meal without PAZ320 at baseline and then ingested low-dose (8 g) and high-dose (16 g) PAZ320 with test meals at subsequent intervention visits. A post hoc analysis was conducted to determine changes in 2-hour postprandial glucose excursions. Among the 20 subjects for whom data were available for all clinic visit test meals, 15 (75%) responded to low-dose, high-dose, or both medication dosages. Low-dose responders (n = 8) experienced clinically significant improvements in 2-hour postprandial glucose excursions from baseline excursions compared with nonresponders (-28.00 ± 25.97 mg/dL vs 23.42 ± 11.45 mg/dL, P = .005). Similar differences were seen in high-dose responders (-28.82 ± 24.26 vs 33.89 ± 20.56 mg/dL, P < .0001). PAZ320 was shown to be safe in all patients studied and effective in controlling postprandial glucose in a large portion of the study population. Additional studies are needed to determine its long-term effects on HbA1c and to further define which subpopulation(s) may respond to PAZ320 therapy.

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.

Effectiveness and safety of patient activation interventions for adults with type 2 diabetes: systematic review, meta-analysis, and meta-regression

BACKGROUND

Patient activation interventions (PAIs) engage patients in care by promoting increased knowledge, confidence, and/or skills for disease self-management. However, little is known about the impact of these interventions on a wide range of outcomes for adults with type 2 diabetes (DM2), or which of these interventions, if any, have the greatest impact on glycemic control.

METHODS

Electronic databases were searched from inception through November 2011. Of 16,290 citations, two independent reviewers identified 138 randomized trials comparing PAIs to usual care/control groups in adults with DM2 that reported intermediate or long-term outcomes or harms. For meta-analyses of continuous outcomes, we used a random-effects model to derive pooled weighted mean differences (WMD). For all-cause mortality, we calculated the pooled odds ratio (OR) using Peto's method. We assessed statistical heterogeneity using the I (2) statistic and conducted meta-regression using a random-effects model when I (2) > 50 %. A priori meta-regression primary variables included: intervention strategies, intervention leader, baseline outcome value, quality, and study duration.

RESULTS

PAIs modestly reduced intermediate outcomes [A1c: WMD 0.37 %, CI 0.28-0.45 %, I (2) 83 %; SBP: WMD 2.2 mmHg, CI 1.0-3.5 mmHg, I (2) 72 %; body weight: WMD 2.3 lbs, CI 1.3-3.2 lbs, I (2) 64 %; and LDL-c: WMD 4.2 mg/dL, CI 1.5-6.9 mg/dL, I (2) 64 %]. The evidence was moderate for A1c, low/very low for other intermediate outcomes, low for long-term mortality and very low for complications. Interventions had no effect on hypoglycemia (evidence: low) or short-term mortality (evidence: moderate). Higher baseline A1c, pharmacist-led interventions, and longer follow-up were associated with larger A1c improvements. No intervention strategy outperformed any other in adjusted meta-regression.

CONCLUSIONS

PAIs modestly improve A1c in adults with DM2 without increasing short-term mortality. These results support integration of these interventions into primary care for adults with uncontrolled glycemia, and provide evidence to insurers who do not yet cover these programs.

The role of self-monitoring of blood glucose in patients treated with SGLT-2 inhibitors: a European expert recommendation

The role for the novel treatment approach of sodium-glucose cotransporter-2 (SGLT-2) in type 2 diabetes is increasing. Structured self-monitoring of blood glucose (SMBG), based on a less intensive and a more intensive scheme, may contribute to an optimization of SGLT-2 inhibitor based treatment. The current expert recommendation suggests individualized approaches of SMBG, using simple and clinically applicable schemes. Potential benefits of SMBG in SGLT-2 inhibitor based treatment approaches are early assessment of treatment success or failure, timely modification of treatment, detection of hypoglycemic episodes, assessment of glucose excursions, and support of diabetes management and education. The length and frequency of SMBG should depend on the clinical setting and the quality of metabolic control.

Personalized therapy algorithms for type 2 diabetes: a phenotype-based approach

Type 2 diabetes is a progressive disease with a complex and multifactorial pathophysiology. Patients with type 2 diabetes show a variety of clinical features, including different “phenotypes” of hyperglycemia (eg, fasting/preprandial or postprandial). Thus, the best treatment choice is sometimes difficult to make, and treatment initiation or optimization is postponed. This situation may explain why, despite the existing complex therapeutic armamentarium and guidelines for the treatment of type 2 diabetes, a significant proportion of patients do not have good metabolic control and at risk of developing the late complications of diabetes. The Italian Association of Medical Diabetologists has developed an innovative personalized algorithm for the treatment of type 2 diabetes, which is available online. According to the main features shown by the patient, six algorithms are proposed, according to glycated hemoglobin (HbA_1c, ≥9% or ≤9%), body mass index (≤30 kg/m² or ≥30 kg/m²), occupational risk potentially related to hypoglycemia, chronic renal failure, and frail elderly status. Through self-monitoring of blood glucose, patients are phenotyped according to the occurrence of fasting/preprandial or postprandial hyperglycemia. In each of these six algorithms, the gradual choice of treatment is related to the identified phenotype. With one exception, these algorithms contain a stepwise approach for patients with type 2 diabetes who are metformin-intolerant. The glycemic targets (HbA_1c, fasting/preprandial and postprandial glycemia) are also personalized. This accessible and easy to use algorithm may help physicians to choose a personalized treatment plan for each patient and to optimize it in a timely manner, thereby lessening clinical inertia.

A randomised, controlled trial of self-monitoring of blood glucose in patients with type 2 diabetes receiving conventional insulin treatment

AIMS/HYPOTHESIS

We evaluated whether self-monitoring of blood glucose (SMBG) leads to better glycaemic control (HbA(1c)) in patients with type 2 diabetes on conventional insulin regimens.

METHODS

Patients with type 2 diabetes on a conventional insulin regimen (basal or premixed insulin with or without additional oral glucose-lowering agents) were recruited at study centres led by members of the German Diabetes Association. In a randomised, prospective, open 2 × 2 factorial design, the once-weekly performance of four-point glucose profiles (SMBG +; n = 151 patients) was compared with no SMBG (SMBG -; n = 149), and the measuring and transmitting of HbA1c results to the study centres (HbA(1c) +; n = 158, of these 82 SMBG - and 76 SMBG +) was compared with HbA1c measurement without disclosure of results (HbA(1c) -; n = 142, of these 67 SMBG - and 75 SMBG +). Randomised allocation was carried out by a central office, using sequentially numbered, sealed envelopes. The primary endpoint was the reduction of HbA(1c) compared with baseline after 12 months. Secondary analyses were of therapy intensification in response to higher blood or urinary glucose or HbA(1c). Participants and caregivers were not blinded as to the allocation of interventions, whereas the laboratory determining HbA(1c) remained blinded.

RESULTS

Patient characteristics were balanced across groups. A total of 56 patients dropped out. In completers, HbA(1c) was reduced in the SMBG + group from 7.3% to 7.0%, i.e. by 0.3% (0.1%, 0.5%) vs SMBG - from 7.3% to 7.0% and 0.3% (0.2%, 0.5%), respectively, the difference being 0.0% (-0.2%, 0.2%) (p = 0.93). The disclosure of HbA(1c) results had no significant influence, with a difference of 0.1% (-0.1%, 0.4%) (p = 0.28). Values above are mean (95% CI). The ORs for therapy intensification significantly rose as the following increased: proportions of urine samples testing positive for glucose, HbA1c concentrations, and fasting or postprandial glucose concentrations. No important adverse events were associated with the interventions.

CONCLUSIONS/INTERPRETATION

SMBG profiles once weekly or the disclosure of HbA(1c) results did not improve glycaemic control in patients with type 2 diabetes on conventional insulin treatment, although indicators of hyperglycaemia increased the likelihood of therapy intensification. Greater intensification may be necessary to impact on glycaemic control.

TRIAL REGISTRATION

www.clinicaltrials.gov (registration code NCT00688363) FUNDING: Deutsche Diabetes-Gesellschaft, Deutsche Diabetes-Stiftung, Bayer Vital GmbH.

Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C

The aim was to summarize research on telehealth remote patient monitoring interventions that incorporate key elements of structured self-monitoring of blood glucose (SMBG) identified as essential for improving A1C. A systematic review was conducted using the Medline, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and OVID Medline databases with search terms "Telemedicine" AND "Monitoring, Physiologic" AND "Diabetes Mellitus, Type 2." Study selection criteria included original randomized clinical trials evaluating the impact of telehealth remote patient monitoring on A1C among adults with type 2 diabetes and incorporated 1 or more essential elements of SMBG identified by the International Diabetes Federation (patient education, provider education, structured SMBG profile, SMBG goals, feedback, data used to modify treatment, interactive communication or shared decision making). Fifteen studies were included, with interventions ranging from 3 to 12 months (mean 8 months) with sample sizes from 30 to 1665. Key SMBG elements were grouped into 3 categories: education, SMBG protocols, and feedback. Research incorporating 5 of the 7 elements consistently achieved significant A1C improvements between study groups. Interventions using more SMBG elements are associated with an improvement in A1C. Studies with the largest A1C decrease incorporated 6 of the 7 elements and computer decision support. Two studies with 5 of the 7 elements and active medication management achieved significant A1C decreases. Telehealth remote patient monitoring interventions in type 2 diabetes have not included all structured monitoring elements recommended by the IDF. Incorporating more elements of structured SMBG is associated with improved A1C.

Mobile phone health apps for diabetes management: current evidence and future developments

Can an app help manage diabetes? We discuss how the advent of mobile health apps in connecting patients to providers is creating new opportunities for the management of diabetes. Although there are promising outcomes, there is still much to be learned about how such technology could be fully exploited.

Impact of behavioral interventions in the management of adults with type 2 diabetes mellitus

Research on the role of behavior change as an efficacious intervention for adults with type 2 diabetes is evolving. Searching PubMed and Ovid Medline, we identified and reviewed primarily randomized controlled trials from 2010 to 2013 of adults managing type 2 diabetes without insulin. All studies are evaluated in terms of the rigor of their design and their impact on glycosylated hemoglobin. The most efficacious interventions appear to be low-carbohydrate/glycemic load diets, combined aerobic and resistance training, and self-monitoring of blood glucose, which educates patients about the impact of their food selections and physical activity on their blood glucose.

6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) applications and beyond, April 25-27, 2013, Riga, Latvia

International experts in the fields of diabetes, diabetes technology, endocrinology, and pediatrics gathered for the 6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) Applications and beyond. The aim of this meeting was to continue setting up a global network of experts in this field and provide an international platform for exchange of ideas to improve life for people with diabetes. The 2013 meeting comprised a comprehensive scientific program, parallel interactive workshops, and two keynote lectures. All these discussions were intended to help identify gaps and areas where further scientific work and clinical studies are warranted.

Utilization of blood glucose data in patient education

Many studies have tested clinical and behavioral approaches for improving glycemic control in people with diabetes. We reviewed studies to identify how blood glucose (BG) values have been used in patient-focused clinical research and interventions. We sought to describe the frequency that BG values have been the focus of patient education research and to characterize the different methods to integrate BG into an intervention, the approaches implemented to support patient education, and behavior change, and the nature of communication about BG values. Thirty-four eligible studies were identified that included patient education using BG values. Information regarding the study and intervention characteristics include: (1) characteristics of the study sample, (2) how BG values were obtained, (3) use of a graphical interface for BG values, (4) use of a BG log, (5) BG interpretation and regimen adjustments, (6) recommended actions to patient, (7) modality of intervention, and (8) intervention communication schedule. The review demonstrated that new BG technologies provide outstanding opportunities for greater access to BG data, and for patient support and intervention. However, it also indicated a need to improve and expand support for people with diabetes in their daily use of BG values to maintain and improve glycemic control. In order to make the most sustainable impact on behavior, generalizable skills such as problem solving need to be integrated into BG education.

Technology to optimize pediatric diabetes management and outcomes

Technology for diabetes management is rapidly developing and changing. With each new development, there are numerous factors to consider, including medical benefits, impact on quality of life, ease of use, and barriers to use. It is also important to consider the interaction between developmental stage and technology. This review considers a number of newer diabetes-related technologies and explores issues related to their use in the pediatric diabetes population (including young adults), with a focus on psychosocial factors. Areas include trend technology in blood glucose monitoring, continuous glucose monitoring, sensor-augmented insulin pumps and low glucose suspend functions, internet applications including videoconferencing, mobile applications (apps), text messaging, and online gaming.

Blood glucose pattern management in diabetes: creating order from disorder

BACKGROUND

Self-monitoring of blood glucose (SMBG) is the most accessible way to assess glycemic patterns, and interpretation of these patterns can provide reasons for poor glycemic control and suggest management strategies. Furthermore, diabetes management based on blood glucose (BG) patterns is associated with improved patient outcomes. The aim of this review is therefore to evaluate the impact of pattern management in clinical practice.

METHODS

We included a review of available literature, a discussion of obstacles to implementation of SMBG and pattern management, and suggestions on how clinicians and patients might work together to optimize this management feature.

RESULTS

The literature review revealed eight publications specifically describing structured approaches to SMBG and pattern management. Specific information on how SMBG might be structured to detect BG patterns, however, remains limited. Barriers to pattern management include not just practical reasons, but emotional and psychological reasons as well.

CONCLUSIONS

Patterns are not always easy to detect or interpret, but on-meter and web-based tools can support both patients and clinicians. Ultimately, successful pattern management requires education and mutual commitment from the clinician and patient--ongoing collaboration is needed to obtain, review, and interpret SMBG values and to make changes based on the patterns.

Assessing the analytical performance of systems for self-monitoring of blood glucose: concepts of performance evaluation and definition of metrological key terms

Reliability of blood glucose (BG) measurements is a prerequisite for successful diabetes management. Publications on the evaluation of self-monitored glucose values, however, are frequently characterized by a confusion in terminology. We provide an inventory of key terms such as accuracy, trueness, precision, traceability, calibration, and matrix effect to avoid future misunderstanding. Definitions are taken from the metrological literature and international norms and explained in a language intended for nonspecialists in metrology. The terms are presented in light of the need to apply generally accepted definitions. In addition, a description of requirements and components for a sound evaluation of BG measurement systems is presented. These factors will also enable improvement in future comparisons of study results.

Glucose variability: An emerging target for the treatment of diabetes mellitus

Alterations in glucose metabolism in individuals with diabetes have been considered for many years, as they appear at first glance, i.e., simply as hyperglycemia, and its surrogate marker, glycated hemoglobin (HbA1c), used both to estimate the risk of developing diabetic complications and to define the targets and measure the efficacy of diabetes treatments. However, over time diabetes-related glycemic alterations have been considered in more complex terms, by attempting to identify the role of fasting glycemia, postprandial glycemia and hypoglycemia in the overall assessment of the disease. This set of evaluations has led to the concept of glucose variability. Although intuitively easy to understand, it cannot be equally simply translated into terms of definition, measuring, prognostic and therapeutic impact. The literature available on glucose variability is extensive yet confused, with the only common element being the need to find out more on the subject. The purpose of this manuscript is not only to review the most recent evidence on glucose variability, but also to help the reader to better understand the available measurement options, and how the various definitions can differently be related with the development of diabetic complications. Finally, we provide how new and old drugs can impact on glucose variability.

Intensive structured self-monitoring of blood glucose and glycemic control in noninsulin-treated type 2 diabetes: the PRISMA randomized trial

OBJECTIVE

We aimed to evaluate the added value of intensive self-monitoring of blood glucose (SMBG), structured in timing and frequency, in noninsulin-treated patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

The 12-month, randomized, clinical trial enrolled 1,024 patients with noninsulin-treated type 2 diabetes (median baseline HbA1c, 7.3% [IQR, 6.9-7.8%]) at 39 diabetes clinics in Italy. After standardized education, 501 patients were randomized to intensive structured monitoring (ISM) with 4-point glycemic profiles (fasting, preprandial, 2-h postprandial, and postabsorptive measurements) performed 3 days/week; 523 patients were randomized to active control (AC) with 4-point glycemic profiles performed at baseline and at 6 and 12 months. Two primary end points were tested in hierarchical order: HbA1c change at 12 months and percentage of patients at risk target for low and high blood glucose index.

RESULTS

Intent-to-treat analysis showed greater HbA1c reductions over 12 months in ISM (-0.39%) than in AC patients (-0.27%), with a between-group difference of -0.12% (95% CI, -0.210 to -0.024; P=0.013). In the per-protocol analysis, the between-group difference was -0.21% (-0.331 to -0.089; P=0.0007). More ISM than AC patients achieved clinically meaningful reductions in HbA1c (>0.3, >0.4, or >0.5%) at study end (P<0.025). The proportion of patients reaching/maintaining the risk target at month 12 was similar in ISM (74.6%) and AC (70.1%) patients (P=0.131). At visits 2, 3, and 4, diabetes medications were changed more often in ISM than in AC patients (P<0.001).

CONCLUSIONS

Use of structured SMBG improves glycemic control and provides guidance in prescribing diabetes medications in patients with relatively well-controlled noninsulin-treated type 2 diabetes.

Prospective, randomized trial on intensive SMBG management added value in non-insulin-treated T2DM patients (PRISMA): a study to determine the effect of a structured SMBG intervention

Self-monitoring of blood glucose (SMBG) is a core component of diabetes management. However, the International Diabetes Federation recommends that SMBG be performed in a structured manner and that the data are accurately interpreted and used to take appropriate therapeutic actions. We designed a study to evaluate the impact of structured SMBG on glycemic control in non-insulin-treated type 2 diabetes (T2DM) patients. The Prospective, Randomized Trial on Intensive SMBG Management Added Value in Non-insulin-Treated T2DM Patients (PRISMA) is a 12-month, prospective, multicenter, open, parallel group, randomized, and controlled trial to evaluate the added value of an intensive, structured SMBG regimen in T2DM patients treated with oral agents and/or diet. One thousand patients (500 per arm) will be enrolled at 39 clinical sites in Italy. Eligible patients will be randomized to the intensive structured monitoring (ISM) group or the active control (AC) group, with a glycosylated hemoglobin (HbA1c) target of <7.0%. Intervention will comprise (1) structured SMBG (4-point daily glucose profiles on 3 days per week [ISM]; discretionary, unstructured SMBG [AC]); (2) comprehensive patient education (both groups); and (3) clinician's adjustment of diabetes medications using an algorithm targeting SMBG levels, HbA1c and hypoglycemia (ISM) or HbA1c and hypoglycemia (AC). The intervention and trial design build upon previous research by emphasizing appropriate and collaborative use of SMBG by both patients and physicians. Utilization of per protocol and intent-to-treat analyses facilitates assessment of the intervention. Inclusion of multiple dependent variables allows us to assess the broader impact of the intervention, including changes in patient and physician attitudes and behaviors.

Structured self-monitoring of blood glucose reduces glycated hemoglobin in insulin-treated diabetes

The aim of the preset study was to investigate the effectiveness of structured self-monitoring of blood glucose (SMBG) in insufficiently controlled insulin-treated diabetes. A total of 86 insulin-treated patients were randomized to a routine testing group (RTG; n = 43) and a structured testing group (STG; n = 43). The STG used a chart to record seven-point blood glucose (BG) profile on three consecutive days per month. The primary end-point was the glycated hemoglobin (HbA1c) at 3 months and 6 months. There were no significant differences of HbA1c between the RTG and STG at 3 months. However, the STG had significantly improved HbA1c at 6-month follow-up compared with the RTG (P = 0.002). In the STG, HbA1c decreased by 0.5% from 7.9 (SD 0.5) to 7.4 (0.7)%, whereas it decreased by 0.1% in the RTG from 7.9 (0.5) to 7.8 (0.7)%. In the STG, 55% of the patients were willing to continue structured SMBG and they achieved a 0.7% decrease of HbA1c. The present findings suggest that structured SMBG significantly improves glycemic control.

Association of self-monitoring of blood glucose use on glycated hemoglobin and weight in newly diagnosed, insulin-naïve adult patients with type 2 diabetes

BACKGROUND

Clinical trials have shown that self-monitoring of blood glucose (SMBG) combined with patient education and medication titration can lead to improved glycated hemoglobin (HbA1c) and reduced weight in recently diagnosed non-insulin-treated type 2 diabetes mellitus (T2DM) patients. This retrospective matched cohort study assessed the association of SMBG with achieving long-term clinical outcomes in these patients in a real-world clinical setting.

METHODS

Using electronic medical records (2008-2011), we selected a population of adult patients recently diagnosed with T2DM not receiving insulin who were SMBG users and a population of non-SMBG controls with similar demographic and clinical characteristics using propensity score matching. The main study outcomes compared between the two groups were time to achieve (1) HbA1c <7% for patients with baseline HbA1c ≥ 7% and (2) a ≥ 5% reduction in weight from baseline.

RESULTS

Of the 589 patients identified in each group, 113 in each group had a baseline HbA1c ≥ 7% (mean, 8.2%). The SMBG users were more likely to achieve an HbA1c <7% (12 months: 58.4% versus 38.9%, p = .0037; 36 months: 84.0% versus 70.0%, p = .0013) and to do so faster (median, 6.5 versus 20.5 months; log-rank p = .0016). Self-monitoring of blood glucose was associated with faster weight reduction (median time to achieve a ≥ 5% reduction, 23.5 versus 35.9 months for SMBG and non-SMBG, respectively; log-rank p = .0005).

CONCLUSIONS

In newly diagnosed T2DM insulin-naïve patients, SMBG users had an improved rate of achieving long-term glycemic control and weight loss in a real-world clinical setting.

Value and utility of self-monitoring of blood glucose in non-insulin-treated patients with type 2 diabetes mellitus

Self-monitoring of blood glucose (SMBG) levels provides important information regarding glycemic control for patients with diabetes, and is recommended by European and American diabetes organizations as an essential adjunct to periodic glycated hemoglobin (HbA1c) level monitoring. The benefits of SMBG in improving glycemic control in patients with type 1 diabetes and those with type 2 diabetes (T2DM) who are being treated with insulin are well recognized. In contrast, the potential role of SMBG in patients with T2DM not treated with insulin remains controversial, which may lead to underutilization of SMBG in this population. Structured SMBG, introduced as part of a treatment intervention, has been associated with modest but significant improvements in HbA1c levels in patients with T2DM who are not taking insulin as part of their management plan. Patient-obtained readings provide valuable real-time feedback on glucose responses to meals and exercise, and provide the patient with guidance on the day-to-day management of their diabetes. Studies have shown that when patients perform self-monitoring as part of their treatment interventions, support through appropriate educational initiatives is critical to ensure that patients understand the rationale for SMBG. Patients should be trained in correct testing technique and data recording for SMBG, as well as target blood glucose and goal HbA1c levels so that they will know when their SMBG readings are out of range. Technology has a potential role in facilitating SMBG-based interventions by improving patient-physician communication and optimizing glycemic control through the use of remote data uploading, data analysis tools, and, perhaps, even text messaging. This review outlines the benefits of SMBG in the management of patients with T2DM not treated with insulin, and highlights strategies for improving the effectiveness of SMBG-based treatment interventions in this population.

Early management of type 2 diabetes based on a SMBG strategy: the way to diabetes regression--the St Carlos study : a 3-year, prospective, randomized, clinic-based, interventional study with parallel groups

The aims are to define the regression rate in newly diagnosed type 2 diabetes after lifestyle intervention and pharmacological therapy based on a SMBG (self-monitoring of blood glucose) strategy in routine practice as compared to standard HbA1c-based treatment and to assess whether a supervised exercise program has additional effects. St Carlos study is a 3-year, prospective, randomized, clinic-based, interventional study with three parallel groups. Hundred and ninety-five patients were randomized to the SMBG intervention group [I group; n = 130; Ia: SMBG (n = 65) and Ib: SMBG + supervised exercise (n = 65)] and to the HbA1c control group (C group) (n = 65). The primary outcome was to estimate the regression rate of type 2 diabetes (HbA1c <6 % on metformin treatment). After 3 years of follow-up, diabetes regression was achieved by 56 patients, 6 (9.2 %) from the C group, 21 (32.3 %) from the Ia group and 29 (44.6 %) from the Ib group. RR (95 % CI) for diabetes regression in the intervention group (Ia + Ib) was 4.5 (2.1-9); p < 0.001 and remained after stratification by gender, age and BMI. This difference was associated with healthier changes in lifestyle and greater weight loss. RR for a weight loss >4 kg was 3.6 (1.8-7); p < 0.001. This study shows that the use of SMBG in an educational program effectively increases the regression rate in newly diagnosed type 2 diabetic patients after 3 years of follow-up. These data suggest that SMBG-based programs should be extended to primary care settings where diabetic patients are usually attended.

Changes in A1C levels are significantly associated with changes in levels of the cardiovascular risk biomarker hs-CRP: results from the SteP study

OBJECTIVE

The effect of therapeutic strategies on cardiovascular (CV) disease can be evaluated by monitoring changes in CV risk biomarkers. This study investigated the effect of a structured self-monitoring of blood glucose (SMBG) protocol and the resulting improvements in glycemic control on changes in high-sensitivity C-reactive protein (hs-CRP) in insulin-naïve patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

The Structured Testing Program (STeP) study was a prospective, cluster-randomized, multicenter trial in which 483 poorly controlled, insulin-naïve patients with type 2 diabetes were randomized to active control (ACG) or structured testing (STG) that included quarterly structured SMBG. Changes in A1C, hs-CRP, and glycemic variability (STG subjects only) were measured at baseline and quarterly.

RESULTS

Reductions in geometric mean hs-CRP values were significantly greater in the STG group at months 3 (P = 0.005), 6 (P = 0.0003), and 12 (P = 0.04) than in the ACG group. STG patients at high CV risk (>3 mg/L) showed significantly greater reductions in hs-CRP levels than ACG patients at high CV risk: -3.64 mg/dL (95% CI -4.21 to -3.06) versus -2.18 mg/dL (-2.93 to -1.43), respectively (P = 0.002). There was a strong correlation between reductions in hs-CRP and A1C in both groups: standardized coefficient (β) was 0.25 for the entire cohort (P < 0.0001), 0.31 for STG (P < 0.0001), and 0.16 for ACG (P = 0.02).

CONCLUSIONS

Reductions in hs-CRP level are associated with reductions in A1C but not reductions in lipids or glycemic variability. Comprehensive structured SMBG-based interventions that lower A1C may translate into improvements in CV risk, as evidenced by levels of the biomarker hs-CRP.

Penny wise and pound foolish: will shortsighted cost reduction measures compromise patient access to promising self-monitoring of blood glucose technology?

In this issue of Journal of Diabetes Science and Technology, Grady and coauthors enrolled 101 patients with type 1 and type 2 diabetes to evaluate new technology incorporated into the LifeScan VerioPro and VerioIQ blood glucose meters. The "pattern detection" software provides real-time, onscreen messages that alert users to patterns of high glucose (fasting and premeal) and low glucose as they are detected. The study showed that most participants possess a good understanding of the factors that can cause hyperglycemia; however, their understanding of the causes of hypoglycemia events was not as strong. Nevertheless, more than 70% of participants indicated they preferred to use a blood glucose meter that provides pattern detection capability. Although not designed to assess the impact of the pattern detection tool on clinical outcomes, the study highlights the value of continuous innovation in self-monitoring of blood glucose (SMBG) technology among manufacturers. Unfortunately, many patients may never have access to these systems due to reductions in Medicare reimbursement. Instead, they may be forced to use SMBG systems that are inaccurate and provide inadequate patient support. Stronger regulatory requirements are needed to ensure that all SMBG systems marketed to patients are accurate, reliable, and supported by adequate patient training, and current health care reimbursement policies should be restructured to encourage manufacturers to continue their efforts to develop innovative technology to further improve the utility and usability of their SMBG systems.

Evaluation of a blood glucose monitoring system with automatic high- and low-pattern recognition software in insulin-using patients: pattern detection and patient-reported insights

BACKGROUND

This study aimed to evaluate the performance of a glucose pattern recognition tool incorporated in a blood glucose monitoring system (BGMS) and its association with clinical measures, and to assess user perception and understanding of the pattern messages they receive.

METHODS

Participants had type 1 or type 2 diabetes mellitus and were self-adjusting insulin doses for ≥1 year. During a 4-week home testing period, participants performed ≥6 daily self-tests, adjusted their insulin regimen based on BGMS results, and recorded pattern messages in the logbook. Participants reflected on usability of the pattern tool in a questionnaire.

RESULTS

Study participants (n = 101) received a mean ± standard deviation of 4.5 ± 1.9 pattern messages per week (3.6 ± 1.8 high glucose patterns and 0.9 ± 1.3 low glucose patterns). Most received ≥1 high (96.5%) and/or ≥1 low (46.0%) pattern message per week. The average number of high- and low-pattern messages per week was associated with higher and lower, respectively, baseline hemoglobin A1c (p &lt; .01) and fasting plasma glucose (p &lt; .05). Participants found high- and low-pattern messages clear and easy to understand (84.2% and 83.2%, respectively) and considered the frequency of low (82.0%) and high (63.4%) pattern messages about right. Overall, 71.3% of participants indicated they preferred to use a meter with pattern messages.

CONCLUSIONS

The on-device Pattern tool identified meaningful blood glucose patterns, highlighting potential opportunities for improving glycemic control in patients who self-adjust their insulin.

Higher accuracy of self-monitoring of blood glucose in insulin-treated patients in Germany: clinical and economical aspects

BACKGROUND

Accuracy standards of blood glucose (BG) meters are currently under review. Revised standards are expected to tighten accuracy requirements. Regarding clinical and financial impact of BG meter accuracy, very little data are available. The aim of this study was to analyze potential cost savings related to higher accuracy of glucose meters in Germany.

METHODS

As a model for calculation, a reduction of meter error from 20% to 5% was applied. The health economic analysis was based on four main pillars: (1) number of insulin-treated patients; (2) costs for glucose monitoring in Germany; (3) data of a modeling analysis on the impact on hypoglycemic episodes, glycosylated hemoglobin (HbA1c), and, subsequently, myocardial infarctions; and (4) costs of diabetes-related complications in Germany. A reduction of meter error from 20% to 5% was identified to be associated with a 10% reduction in severe hypoglycemic episodes and a 0.39% reduction in HbA1c, which translates into a 0.5% reduction of myocardial infarctions.

RESULTS

According to the health economic analysis, the reduction in severe hypoglycemic episodes and myocardial infarctions led to cost savings of €24.14 per patient per year. Considering 390,000 type 1 diabetes patients or 2.3 million insulin-treated patients in Germany, these savings could be equal to a reduction in health care expenditures of more than €9.4 million and €55.5 million, respectively.

CONCLUSIONS

Potential cost savings and clinical effects due to higher accuracy of BG meters should provide an impetus to implementation of tighter accuracy standards and development of glucose meters that provide highest possible accuracy.

Using the Common Sense Model of Self-Regulation to Review the Effects of Self-Monitoring of Blood Glucose on Glycemic Control for Non–Insulin-Treated Adults With Type 2 Diabetes

Purpose

This systematic review examined the relationship between self-monitoring of blood glucose (SMBG) and glycemic control in patients with type 2 diabetes. The Common Sense Model of Self-Regulation (CSM) served as a theoretical framework for examining how, when (mediators), and for whom (moderators) SMBG improved glycemic control.

Data Sources

Five databases were searched: Medline, PsychInfo, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Cumulative Index to Nursing & Allied Health Literature.

Study Selection

Included studies had cross-sectional, longitudinal, or randomized controlled trial designs; were published between 2007 and 2011; and included patients with type 2 diabetes at least some of whom were not taking insulin; 1318 studies were screened, 119 were reviewed in detail, and 26 were included.

Data Extraction

Data were collected on the relationship between SMBG and glycemic control, study design, mediators, moderators, participant characteristics, the CSM, and limitations.

Data Synthesis

Twenty-six studies met criteria for inclusion: 11 cross-sectional, 4 longitudinal, and 11 randomized controlled trials. The results of the cross-sectional studies were inconclusive. Results from the longitudinal studies and randomized control trials suggested that SMBG may improve glycemic control. The few studies investigating mediators or moderators reported mixed results. Few studies effectively measured the CSM.

Conclusion

Data suggested that SMBG may help improve glycemic control. Future trials must be designed to test hypotheses and improve our understanding of when, how, and for whom SMBG can enhance glycemic control. Rigorously controlled repetitions of current 2-arm trials will yield little new knowledge of theoretical or practical value.

Effects of lifestyle education program for type 2 diabetes patients in clinics: a cluster randomized controlled trial

BACKGROUND

The prevalence of type 2 diabetes is rising worldwide, as has been the global mean fasting plasma glucose level. This study aimed to evaluate the effectiveness of a structured individual-based lifestyle education (SILE) program to reduce the hemoglobin A1c (HbA1c) level in type 2 diabetes patients delivered by registered dietitians in primary care clinical settings.

METHODS

This was a 6-month prospective cluster randomized controlled trial in a primary care setting with randomization at the practice level. Twenty general practitioners in 20 clinics in Kanagawa prefecture, Japan, were involved. 193 adults (51% men, mean age 61.3 years) with type 2 diabetes and HbA1c ≥6.5% who received treatment in medical clinics were the participants. A SILE program was implemented through 4 sessions with trained registered dietitians during the 6-month study period. Results were compared with those of a control group who received usual care. The primary endpoint was the change in HbA1c levels at 6 months from baseline. Secondary endpoints were the changes at 6 months from baseline in fasting plasma glucose, lipid profile, blood pressure, BMI, energy, and nutrient intakes (whole day and each meal). Intention-to-treat analysis was conducted. Mixed-effects linear models were used to examine the effects of the treatment.

RESULTS

The mean change at 6 months from baseline in HbA1c was a 0.7% decrease in the intervention group (n = 100) and a 0.2% decrease in the control group (n = 93) (difference -0.5%, 95%CI: -0.2% to -0.8%, p = 0.004). After adjusting for baseline values and other factors, the difference was still significant (p = 0.003 ~ 0.011). The intervention group had a significantly greater decrease in mean energy intake at dinner compared with the control group and a greater increase in mean vegetable intake for the whole day, breakfast, and lunch as shown in crude and adjusted models. A tendency toward improvement was observed in the other secondary endpoints but the improvement was not statistically significant. These results were confirmed by several sensitivity analyses.

CONCLUSIONS

The SILE program that was provided in primary care settings for patients with type 2 diabetes resulted in greater improvement in HbA1c levels than usual diabetes care and education.

TRIAL REGISTRATION

http://UMIN000004049.

Self-monitoring among non-insulin treated patients with type 2 diabetes mellitus: Patients' behavioural responses to readings and associations with glycaemic control

AIM

To investigate self-monitoring of blood glucose (SMBG) behaviour among non-insulin treated patients with type 2 diabetes mellitus, and to evaluate associations with glycaemic control.

METHODS

Eligible patients in 23 GP practices in Tayside, Scotland, were identified (18-75 years, no insulin treatment, SMBG reagent strips dispensed in 2009). Consenting patients were administered questionnaires addressing SMBG behaviour: these primary data were record-linked to clinical data (including HbA1c) from a validated population-based diabetes clinical information system, then anonymised.

RESULTS

Among 629 eligible patients, 207 were interviewed and analysed. Mean SMBG reagent strips dispensed in 12 months was 268. In response to a perceived high test result, 80 (38.8%) patients took no action or simply checked later with most of them (61.3%) indicating they did not know what action to take. Of the 126 (61.2%) patients who took some action, 101 made changes to diet, 12 increased physical activity, 10 made changes to medication and 12 mad a HCP appointment. A high score on a Diabetes Knowledge Test was a statistically significant predictor of taking action (odds ratio: 2.07). However, neither taking action nor increased SMBG frequency was associated with improved glycaemic control.

CONCLUSIONS

Responding to SMBG test results and increased testing frequency were not associated with improved glycaemic control in the short-term. There is a lack of knowledge surrounding SMBG in non-insulin treated patients.

Heterogeneity of responses to real-time continuous glucose monitoring (RT-CGM) in patients with type 2 diabetes and its implications for application

OBJECTIVE

To characterize glucose response patterns of people who wore a real-time continuous glucose monitor (RT-CGM) as an intervention to improve glycemic control. Participants had type 2 diabetes, were not taking prandial insulin, and interpreted the RT-CGM data independently.

RESEARCH DESIGN AND METHODS

Data were from the first 12 weeks of a 52-week, prospective, randomized trial comparing RT-CGM (n = 50) with self-monitoring of blood glucose (n = 50). RT-CGM was used in 8 of the first 12 weeks. A1C was collected at baseline and quarterly. This analysis included 45 participants who wore the RT-CGM ≥4 weeks. Analyses examined the RT-CGM data for common response patterns-a novel approach in this area of research. It then used multilevel models for longitudinal data, regression, and nonparametric methods to compare the patterns of A1C, mean glucose, glycemic variability, and views per day of the RT-CGM device.

RESULTS

There were five patterns. For four patterns, mean glucose was lower than expected as of the first RT-CGM cycle of use given participants' baseline A1C. We named them favorable response but with high and variable glucose (n = 7); tight control (n = 14); worsening glycemia (n = 6); and incremental improvement (n = 11). The fifth was no response (n = 7). A1C, mean glucose, glycemic variability, and views per day differed across patterns at baseline and longitudinally.

CONCLUSIONS

The patterns identified suggest that targeting people with higher starting A1Cs, using it short-term (e.g., 2 weeks), and monitoring for worsening glycemia that might be the result of burnout may be the best approach to using RT-CGM in people with type 2 diabetes not taking prandial insulin.

2-Year follow-up to STeP trial shows sustainability of structured self-monitoring of blood glucose utilization: results from the STeP practice logistics and usability survey (STeP PLUS)

We report findings from a follow-up survey of clinicians from the STeP study that assessed their attitudes toward and current use of the Accu-Chek(®) 360° View tool (Roche Diagnostics, Indianapolis, IN) approximately 2 years after the study was completed. The Accu-Chek 360° View tool enables patients to record/plot a seven-point self-monitoring of blood glucose (SMBG) profile (fasting, preprandial/2-h postprandial at each of the three meals, and bedtime) on 3 consecutive days, document meal sizes and energy levels, and comment on their SMBG experiences. Our findings showed that the majority of these physicians continue to use the tool with their patients, citing enhanced patient understanding and engagement, better discussions with patients regarding the impact of lifestyle behaviors, improved clinical outcomes, and better practice efficiencies as significant benefits of the tool.

Challenging evidence and assumptions: is there a role for self-monitoring of blood glucose in people with type 2 diabetes not using insulin?

BACKGROUND

There is debate in the literature about the effectiveness of self-monitoring of blood glucose (SMBG) for people with type 2 diabetes (T2DM) who do not use insulin. Several recent systematic reviews and meta-analyses conclude that SMBG does not have any clinical benefit for this group.

OBJECTIVE

We critically appraise the available evidence, and argue whether SMBG is warranted for people with non-insulin-treated T2DM.

RESULTS

Considerable heterogeneity exists amongst the literature, and aspects of the methodology of some of these studies confound interpretation of results. Recent evidence demonstrates that when SMBG is 'structured', incorporated as part of a complex intervention, and embedded within education and collaborative care, improvements in average blood glucose levels result. In contrast, studies that do not apply SMBG systematically, or that assess a low frequency SMBG regimen that precludes identification and interpretation of SMBG patterns, are not clinically effective. Psychosocial outcomes, such as self-efficacy and diabetes-related distress, and other clinical outcomes, such as hypoglycaemia detection, should also be considered as important clinical endpoints.

LIMITATIONS

This is not a systematic literature review. The literature is limited by a lack of studies evaluating a 'structured' approach to SMBG.

CONCLUSIONS

It is the quality, not quantity, of SMBG that makes a difference to outcomes for people with non-insulin-treated T2DM. The benefits of 'structured' SMBG should be considered as part of a complex intervention when making decisions about policy and practice, and assumptions about the benefits of SMBG for people with non-insulin-treated T2DM should be challenged.

Self-monitoring of blood glucose in type 2 diabetes: recent studies

The increasing role for structured and personalized self-monitoring of blood glucose (SMBG) in management of type 2 diabetes has been underlined by randomized and prospective clinical trials. These include Structured Testing Program (or STeP), St. Carlos, Role of Self-Monitoring of Blood Glucose and Intensive Education in Patients with Type 2 Diabetes Not Receiving Insulin, and Retrolective Study Self-Monitoring of Blood Glucose and Outcome in Patients with Type 2 Diabetes (or ROSSO)-in-praxi follow-up. The evidence for the benefit of SMBG both in insulin-treated and non-insulin-treated patients with diabetes is also supported by published reviews, meta-analyses, and guidelines. A Cochrane review reported an overall effect of SMBG on glycemic control up to 6 months after initiation, which was considered to subside after 12 months. Particularly, the 12-month analysis has been criticized for the inclusion of a small number of studies and the conclusions drawn. The aim of this article is to review key publications on SMBG and also to put them into perspective with regard to results of the Cochrane review and current aspects of diabetes management.