Impact of self monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial

Diabetes self-management activities for Latinos living in non-metropolitan rural communities: a snapshot of an underserved rural state

The Latino community continues to grow in the rural Midwest, and diabetes is a pertinent disease for research in this demographic. Patient self-management is an important aspect of comprehensive care for diabetes and may mitigate complications. A cross-sectional survey assessed various activities including self-monitoring of blood glucose, personal foot inspection, diet adherence, and diabetes self-management education. Less than half of the sample performed self-monitoring of blood glucose daily (40 %), adhered strictly to special diabetes diet recommendations (44 %), or attended a diabetes self-management education class (48 %). Participants advised on personal foot inspection were three times more likely to perform the self-care activity. Improvements are indicated in these self-management activities. Further research is needed to discern disparities and barriers in self-monitoring of blood glucose among this target population. An increased emphasis on enrollment in diabetes self-management classes should target foreign-born Latinos with lower levels of education.

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.

Telemedicine application in the care of diabetes patients: systematic review and meta-analysis

BACKGROUND

The impact of telemedicine application on the management of diabetes patients is unclear, as the results are not consistent among different studies. The objective of this study is to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the impact of telemedicine interventions on change in hemoglobin A1c (HbA1c), blood pressure, LDL cholesterol (LDL-c) and body mass index (BMI) in diabetes patients.

METHODS

Electronic databases MEDLINE, Cochrane Central Register of Controlled Trials and LILACS were searched to identify relevant studies published until April 2012, supplemented by references from the selected articles. Study search and selection were performed by independent reviewers. Of the 6.258 articles retrieved, 13 RCTs (4207 patients) were included. Random effects model was applied to estimate the pooled results.

RESULTS

Telemedicine was associated with a statistically significant and clinically relevant absolute decline in HbA1c level compared to control (mean difference -0.44% [-4.8 mmol/mol] and 95% confidence interval [CI] -0.61 to -0.26% [-6.7 to -2.8 mmol/mol]; p<0.001). LDL-c was reduced in 6.6 mg/dL (95% CI -8.3 to -4.9; p<0.001), but the clinical relevance of this effect can be questioned. No effects of telemedicine strategies were seen on systolic (-1.6 mmHg and 95% CI -7.2 to 4.1) and diastolic blood pressure (-1.1 mmHg and 95% CI -3.0 to 0.8). The 2 studies that assessed the effect on BMI demonstrated a tendency of BMI reduction in favor of telemedicine.

CONCLUSIONS

Telemedicine strategies combined to the usual care were associated with improved glycemic control in diabetic patients. No clinical relevant impact was observed on LDL-c and blood pressure, and there was a tendency of BMI reduction in diabetes patients who used telemedicine, but these outcomes should be further explored in future trials.

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.

The self-aware diabetic patient software agent model

This work presents a self-aware diabetic patient software agent for representing a human diabetic patient. To develop a 24h, stochastic and self-aware patient agent, we extend the original seminal work of Ackerman et al. [1] in creating a mathematical model of human blood glucose levels in three aspects. (1) We incorporate the stochastic and unpredictable effects of daily living. (2) The Ackerman model is extended into the period of night-time. (3) Patients' awareness of their own conditions is incorporated. Simulation results are quantitatively assessed to demonstrate the effectiveness of lifestyle management, such as adjusting the amount of food consumed, meal schedule, intensity of exercise and level of medication. In this work we show through the simulation that the average blood glucose can be reduced by as much as 51% due to careful lifestyle management. Self monitoring blood glucose is also quantitatively evaluated. The simulation results show that the average blood glucose is further dropped by 25% with the assistance of blood glucose samples. In addition, the blood glucose is perfectly controlled in the target range during the simulation period as a result of joint efforts of lifestyle management and self monitoring blood glucose. This study focuses on demonstrating how human patients' behavior, specifically lifestyle and self monitoring of blood glucose, affects blood glucose controls on a daily basis. This work does not focus on the insulin-glucose interaction of an individual human patient. Our conclusion is that this self-aware patient agent model is capable of adequately representing diabetic patients and of evaluating their dynamic behaviors. It can also be incorporated into a multi-agent system by introducing other healthcare components so that more interesting insights such as the healthcare quality, cost and performance can be observed.

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.

Economic Evidence and Point-of-Care Testing

Health economics has been an established feature of the research, policymaking, practice and management in the delivery of healthcare. However its role is increasing as the cost of healthcare begins to drive changes in most healthcare systems. Thus the output from cost effectiveness studies is now being taken into account when making reimbursement decisions, e.g. in Australia and the United Kingdom. Against this background it is also recognised that the health economic tools employed in healthcare, and particularly the output from the use of these tools however, are not always employed in the routine delivery of services. One of the notable consequences of this situation is the poor record of innovation in healthcare with respect to the adoption of new technologies, and the realisation of their benefits. The evidence base for the effectiveness of diagnostic services is well known to be limited, and one consequence of this has been a very limited literature on cost effectiveness. One reason for this situation is undoubtedly the reimbursement strategies employed in laboratory medicine for many years, simplistically based on the complexity of the test procedure, and the delivery as a cost-per-test service. This has proved a disincentive to generate the required evidence, and little effort to generate an integrated investment and disinvestment business case, associated with care pathway changes. Point-of-care testing creates a particularly challenging scenario because, on the one hand, the unit cost-per-test is larger through the loss of the economy of scale offered by automation, whilst it offers the potential of substantial savings through enabling rapid delivery of results, and reduction of facility costs. This is important when many health systems are planning for complete system redesign. We review the literature on economic assessment of point-of-care testing in the context of these developments.

Comparing patient-generated blood glucose diary records with meter memory in diabetes: a systematic review

AIMS

To synthesize evidence relating to comparisons between patient-generated blood glucose records and meter memory in diabetes and to identify any predictors of agreement.

METHODS

A systematic literature search was performed to identify articles comparing meter and diary records in those unaware of this assessment.

RESULTS

Eleven observational studies, covering patients with Type 1, Type 2 and gestational diabetes were included spanning 1984-2009. Failure to record blood glucose measurements in the diary was the most extensive 'error', but addition of values, which were not measured, was a greater cause for concern. When present to a high degree, 'errors' lead to decreased variability in diary records compared with meter records. Allowing for a minimal amount of disagreement, just over 50% of adult diaries can be considered as 'accurate/reliable'. Disagreements were most extensive in teenagers and young adults, but the pregnant populations were only slightly better. Agreement was not related to sex, number of insulin injections or duration of monitoring. Those who were younger were more likely to have 'errors', while those who monitored more frequently had more 'accurate' diaries.

CONCLUSIONS

The lack of meter-diary agreement suggests that the real reason for monitoring is not understood by many patients, raising issues about motivation, perceived need to impress healthcare providers and denial of poor control. Considering that diaries are used to inform decisions about therapy when HbA1c is raised or in pregnancy, when HbA1c is not suitable, there is significant cause for concern in relation to their clinical utility.

The impact of supported telemetric monitoring in people with type 2 diabetes: study protocol for a randomised controlled trial

Background

Diabetes prevalence is increasing and current methods of management are unsustainable. Effective approaches to supporting self-management are required. The aim of this randomized controlled trial is to establish whether supported telemetric monitoring of glycemic control and blood pressure results in reductions in glycosylated hemoglobin (HbA1c; the primary outcome of a measure of long-term glycemic control) and secondary outcomes of blood pressure and weight among people with poorly controlled diabetes compared to a control group receiving usual care.

Methods/Design

Design: multi-center, randomized controlled trial with embedded qualitative study.

Setting: primary care in Lothian, Kent, Glasgow and Borders regions in the UK.

Participants: people with type 2 diabetes and confirmed HbA1c >7.5% (58 mmol/mol).

Intervention/comparison: randomization to intervention or control groups will be performed by the Edinburgh Clinical Trials Unit. Participants in the intervention group will be shown how to use blood glucose and blood pressure monitors and weighing scales which use Bluetooth wireless technology to transmit readings via modem to a remote server. These participants will be asked to provide at least twice weekly measurements of morning and evening blood glucose and weekly measurements of weight and blood pressure. Measurements will be checked at least weekly by practice nurses who will contact the patients to adjust therapy according to guidelines and reinforce lifestyle advice. Participants in the control group will receive usual care. All participants will receive an individual education session.

Follow-up: measurements will be performed at practices 9 months after randomization by research nurses blinded to allocation. The primary outcome measure is HbA1c and secondary outcomes measure are daytime systolic and diastolic blood pressure, weight and cost per quality-adjusted life year.

Analysis: intention-to-treat analyses will be performed. The sample size of 320 participants allows for 20% drop-out and has 80% power at 5% significance to detect a 0.5% absolute (6 mmol/mol) fall in HbA1c in the intervention group. The qualitative study will explore the experiences of patients and professionals using the intervention.

Trial registration

Trial registration number ISRCTN71674628

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.

Glucose meters with built-in automated bolus calculator: gadget or real value for insulin-treated diabetic patients?

Self-monitoring of blood glucose is now widely recognized as efficacious to enhance and facilitate diabetes management. More than just a means of recording and storing data, some blood glucose meters (BGMs) are now designed with an embedded automated bolus calculator (ABC) with the goal to propose patients recommendations about insulin dosage. The growing literature in this field tends to claim that these new smart BGMs make patient's life easier and decision making safer. The main purpose of this review is to verify whether BGMs with a built-in ABC indeed improve the willingness and the ability of insulin-treated patients to make adequate therapeutic decisions and positively impact the metabolic control and the quality of life of ABC users. It appears that, as long as the education provided by caregivers remains a top priority, BGMs with a built-in ABC (more than just electronic gadgets) can be regarded as bringing real value to insulin-treated patients with diabetes.

Predicting self-care behaviours of patients with type 2 diabetes: the importance of beliefs about behaviour, not just beliefs about illness

OBJECTIVE

There is evidence that perceptions of treatment may be more predictive than illness perceptions, e.g. medication adherence is often better predicted by beliefs about medication than by beliefs about illness. The present study aims to assess the generality of this finding, by comparing the extent to which self-care behaviours of patients with type 2 diabetes are predicted by patients' beliefs about those behaviours, compared with their illness perceptions.

METHODS

This study is a one year prospective cohort analysis of 453 patients recruited to a randomised trial of blood glucose self-monitoring. Behaviour was assessed by the medication adherence report scale (MARS) and diabetes self-care activities (DSCA) scales; illness perceptions by IPQ-R; study-specific scales of beliefs about diet and physical activity were constructed by factor analysing items based on beliefs elicited in an earlier interview study involving patients with type 2 diabetes.

RESULTS

Past behaviour, trial group allocation, and clinical and demographic factors predicted between 16% and 35% variance in medication adherence, exercise, and diet scales. Illness perceptions added between 0.9% and 4.5% additional variance; beliefs about behaviour added a further 1.1% to 6.4% additional variance. Beliefs regarding, respectively, the importance of exercise in controlling diabetes, the need to east less, and enjoyment from eating sweet or fatty food, added unique variance.

CONCLUSION

Beliefs about behaviour are at least as important as beliefs about illness in predicting several health-related behaviours. This suggests the possibility that behaviour change interventions with patient groups would be more effective by targeting beliefs about behaviour, rather than beliefs about illness.

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.

[Blood glucose self monitoring]

Self monitoring of blood glucose contributes to the integrated management of diabetes mellitus. It, thus, should be available for all patients with diabetes mellitus type-1 and type-2. Self monitoring of blood glucose improves patients safety, quality of life and glucose control. The current article represents the recommendations of the Austrian Diabetes Association for the use of blood glucose self monitoring according to current scientific evidence.

Self-monitoring of blood glucose: guideline application rather than utilization restrictions on testing strips has potential to reduce diabetes healthcare costs in Italy

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a proven tool to improve glycemic control, even if it might increase direct costs for diabetes management. In Italy, the purchase, prescription rules and responsibilities, and distribution of testing strips per type of patient are managed differently in each of the 20 Italian regions. The Italian scientific societies for diabetes (Società Italiana Diabetologia [SID] and Associazione Medici Diabetologi [AMD]) have issued validated guidelines for SMBG, but not all regions apply them. We investigated whether following SID-AMD guidelines would help decreasing SMBG and diabetes healthcare costs in Italy.

MATERIALS AND METHODS

We compared the regions applying and not applying SMBG guidelines for the mean number of testing strips used, number of hospitalizations (with the principal diagnosis of diabetes, excluding diabetes complications), and duration of hospitalization, as indirect measures of SMBG cost.

RESULTS

Regions applying the guidelines recorded higher SMBG testing strip utilization than regions not applying guidelines, but they recorded fewer hospitalizations for diabetes (36.2 ± 11.3 vs. 79.9 ± 27.8 hospitalizations per 100,000 inhabitants, P<0.002) and fewer days in the hospital (363 ± 106 vs. 685 ± 194 days of hospitalization for diabetes per 100,000 inhabitants, P<0.002).

CONCLUSIONS

Our data suggest that application of guidelines for SMBG prescription and a strict cooperation between health providers and regional health economic deciders were associated with greater utilization of SMBG testing strips. They were also associated with significantly reduced number of hospitalizations and reduced overall duration of hospitalization for patients with diabetes, potentially saving healthcare costs.

The role of blood glucose monitoring in non-insulin treated type 2 diabetes: what is the evidence?

Over the past few decades, self-monitoring of blood glucose (SMBG) has been recognized as a core component of effective diabetes self-management among insulin-treated type 2 diabetes (T2DM) patients. Given the costly nature of current T2DM care, especially as the worldwide prevalence of T2DM continues to increase rapidly, it is critical to determine whether resources devoted to SMBG in non-insulin treated T2DM patients are also justified and being applied effectively. We review the conflicting evidence on the use of SMBG in insulin-naïve T2DM patients.

Exploring the understanding of evidence-based concepts in people with type 2 diabetes

Background:

Being able to make informed decisions is a prerequisite to enabling individuals to participate actively in their health care. In turn, an individual’s understanding of relevant health information can influence his/her ability to make informed decisions. However, there are two broad categories of health information, ie, background information (such as the pathophysiology of conditions) and foreground information (such as disease behavior, prognosis, and effects of treatment). Questions about foreground information are central to evidence-based practice. The majority of health literacy research has focused on background information, yet foreground information is more useful in decision-making, particularly for evidence-informed decisions. In people with type 2 diabetes, we explored individuals’ knowledge of selected evidence-based concepts in diabetes; beliefs about what they can do to manage their diabetes and sources of this information; and whether these change after diabetes education.

Methods:

Attendees with type 2 diabetes (n = 95) at a one-day diabetes educational exposition completed a questionnaire before and after the event. We asked participants about evidence-based concepts in diabetes and compared their responses with the current evidence. We also asked participants how they could best manage their diabetes, and then, how they knew this.

Results:

Most participants underestimated their risk of complications. With the exception of a question about exercise and glycosylated hemoglobin level, nearly all participants provided responses that are not supported by current research evidence. There was no significant change in the percentage of participants who answered questions correctly after the exposition, except for a question about the risks of low blood glucose in which more participants answered incorrectly afterwards (P = 0.01). Health professionals were the most frequently identified source of information, with little value placed on research evidence.

Conclusion:

Participants had a poor understanding of most of the evidence-based concepts in type 2 diabetes that were explored. This disadvantages them in being able to make informed decisions about their health care and actively manage their diabetes.

How to help the patient motivate himself?

In order to help a patient with a chronic disease motivate himself, caregivers spontaneously make use of reason with a view to having the patient share the caregivers' point of view, in other words, to some extent, transforming the care recipient into a caregiver. However, it is not unusual for a caregiver suffering from the disease in which he specializes not to treat himself in compliance with the rules he recommends to his patients. Man is a trinity with three instances of the self. In addition to the "rational self" that tends towards the universal, there is also an "animal self" subject to powerful, frequently imperious, primary needs which may be compared to impulsions, compulsions and addictions. Lastly, there is an "identity self", an irreducible singularity, governed by the law of optimizing pleasure or, in any event, avoiding moral distress. The patient has to learn to navigate between objectives oriented by reason, more or less imperious urges and the striving for well-being and avoidance of moral distress. These various instances of the "self" have a distinct relationship with the norm and with time. Psychologists recognize two types of motivation: intrinsic motivation, an activity implemented for itself, and extrinsic motivation, an activity practiced for its secondary beneficial effects. Clearly, caring for oneself derives from an extrinsic motivation. This motivation may be very powerful but is frequently of limited duration. Helping a patient suffering from a chronic disease motivate himself over time thus consists in helping the patient take on board an extrinsic motivation in order for the treatment to become a routine or a source of satisfaction or even pleasure. The physician has to promote the acquisition of self-care skills and a feeling of success in the patient. The physician is also to help the patient negotiate the optimum compromise between his "rational self" and his "identity self" by acting as the advocate of the two parties, while not forgetting to play the devils' advocate. Lastly, the expression of the patient's "identity self" through discussion groups, drawing or writing workshops, or "living theatre" may enable expression of an encysted wound. While progressing in that direction, the patient will modify his representation of the disease and its treatment, and enhance his understanding of who he is and how he functions (metacognition). This is the objective of therapeutic education. However, it is necessary for caregivers to demonstrate real empathy that is not only cognitive but also emotional.

Results that matter: structured vs. unstructured self-monitoring of blood glucose in type 2 diabetes

Self-monitoring of blood glucose (SMBG) is one component of diabetes management. SMBG presents information about current glycemic status and provides the ability to obtain immediate feedback regarding the impact of behavioral and pharmacological interventions on glucose levels. However, SMBG is useful only when the glucose information is understood correctly, data are accurately interpreted, and results prompt appropriate therapeutic actions. The International Diabetes Federation (IDF) recently published guidelines for SMBG use in non-insulin treated people with diabetes, recommending that SMBG should be used only when patients and/or their clinicians possess the ability and willingness to incorporate SMBG monitoring and therapy adjustment into their diabetes care plan. If SMBG is used, the IDF also recommends that structured SMBG be performed utilizing defined regimens to meet individual needs. Structured SMBG can be performed as daily glucose profiles that are representative of daily glucose excursions. Measuring preprandial/postprandial blood glucose (bG) levels on consecutive or alternating days ("testing in pairs") also provides impactful glucose information for daily diabetes management. This article reviews recent studies that appropriately utilized structured SMBG as an integral component of comprehensive diabetes management and discusses how their findings support the IDF recommendations. Our goal is to help clinicians make more informed decisions about the value and utility of SMBG in diabetes management.

The impact of self-monitoring of blood glucose on a behavioral weight loss intervention for patients with type 2 diabetes

PURPOSE

The purpose of the study was to examine the association of self-monitoring of blood glucose (SMBG) to weight loss and A1C among participants in a behavioral weight loss intervention.

METHODS

Multivariate analyses were employed to evaluate the relationship between SMBG and changes in patient weight and A1C levels. Bootstrapping was used to determine whether there was an indirect effect of SMBG on weight loss through diet adherence and an indirect effect of SMBG on A1C through weight loss.

RESULTS

The relationship between increased SMBG and greater weight loss was mediated by better adherence to diet. The relationship of increased SMBG and greater reductions in A1C were mediated by greater weight loss.

CONCLUSIONS

Results of the study were consistent with the hypothesis that SMBG leads to an increased adherence to dietary recommendations. For patients who are taught to use their diet to lose weight, increased adherence to dietary recommendations is associated with increased weight loss and subsequently better glucose control. SMBG may be of value as an adjunctive intervention in behavioral programs for type 2 diabetes.

Self-monitoring of blood glucose is associated with problem-solving skills in hyperglycemia and hypoglycemia

PURPOSE

The purpose of this study was to examine the association between self-monitoring of blood glucose (SMBG) and problem-solving skills in response to detected hyperglycemia and hypoglycemia among patients with type 2 diabetes.

METHODS

Data were obtained from the American Association of Diabetes Educators Outcome System, implemented in 8 diabetes self-management education programs in western Pennsylvania. SMBG was measured by asking patients how often they checked, missed checking, or checked blood glucose later than planned. Problem-solving skill was measured by asking how often they modified their behaviors after detecting high or low blood glucose.

RESULTS

Most patients checked their blood glucose at least once per day. However, when blood glucose was high or low, many of them reported doing nothing, and only some of them resolved the problem. There were significant associations between self-monitoring of blood glucose and problem-solving skills for hyperglycemia and hypoglycemia, after controlling for age, gender, ethnicity, education, and time since diagnosis.

CONCLUSIONS

Patients reported poor problem-solving skills when detecting hyperglycemia and hypoglycemia via SMBG. Patients need to learn problem-solving skills along with SMBG training to achieve glycemic control.

Value and utility of structured self-monitoring of blood glucose in real world clinical practice: findings from a multinational observational study

BACKGROUND

The Structured Testing Program (STeP) study, a cluster-randomized, controlled trial, showed that a structured self-monitoring of blood glucose (SMBG)-based intervention improves clinical outcomes. It is important to determine whether this intervention can be adapted for use in general medical practice. This study examined the feasibility and effects of a modified version of the STeP intervention on clinical and attitudinal outcomes in real world clinical settings.

METHODS

In this 3-month, observational, multinational study, 375 type 1 and type 2 diabetes patients in 11 countries were asked to generate a blood glucose (bG) profile once per month for 3 consecutive months, using a paper-based bG analysis tool (Accu-Chek® 360° View® bG analysis system, Roche Diagnostics, Mannheim, Germany). Measurements were to be performed before and 2 h after main meals and before bedtime on 3 consecutive days. End points included change from baseline in glycated hemoglobin (HbA1c) and other parameters of diabetes complications. Patient and physician attitudes toward use of the structured testing form were also assessed.

RESULTS

Reductions in mean (SD) HbA1c from baseline were significant, from 9.2% (1.6%) to 8.0% (1.4%) (Δ -1.2% [1.6%], P<0.001). Reductions in mean (SD) average bG from baseline were significant, from 189.5 mg/dL (55.5 mg/dL) to 153 mg/dL (39.6 mg/dL) (Δ-36.4 mg/dL [52.5 mg/dL], P<0.001). Significant (P<0.001) improvements in body mass index, lipids, and blood pressure were also observed. Patients and physicians were generally positive about the utility of the structured testing form.

CONCLUSIONS

Use of the structured SMBG intervention is practical in real world clinical settings and is associated with improved diabetes management.

Does self monitoring of blood glucose as opposed to urinalysis provide additional benefit in patients newly diagnosed with type 2 diabetes receiving structured education? The DESMOND SMBG randomised controlled trial protocol

BACKGROUND

The benefit of self-monitoring of blood glucose (SMBG) in people with type 2 diabetes on diet or oral agents other than sulphonylureas remains uncertain. Trials of interventions incorporating education about self-monitoring of blood glucose have reported mixed results. A recent systematic review concluded that SMBG was not cost-effective. However, what was unclear was whether a cheaper method of self-monitoring (such as urine glucose monitoring) could produce comparable benefit and patient acceptability for less cost.

METHODS/DESIGN

The DESMOND SMBG trial is comparing two monitoring strategies (blood glucose monitoring and urine testing) over 18 months when incorporated into a comprehensive self-management structured education programme. It is a multi-site cluster randomised controlled trial, conducted across 8 sites (7 primary care trusts) in England, UK involving individuals with newly diagnosed Type 2 diabetes.The trial has 80% power to demonstrate equivalence in mean HbA1c (the primary end-point) at 18 months of within ± 0.5% assuming 20% drop out and 20% non-consent. Secondary end-points include blood pressure, lipids, body weight and psychosocial measures as well as a qualitative sub-study.Practices were randomised to one of two arms: participants attend a DESMOND programme incorporating a module on self-monitoring of either urine or blood glucose. The programme is delivered by accredited educators who received specific training about equipoise. Biomedical data are collected and psychosocial scales completed at baseline, and 6, 12, and 18 months post programme. Qualitative research with participants and educators will explore views and experiences of the trial and preferences for methods of monitoring.

DISCUSSION

The DESMOND SMBG trial is designed to provide evidence to inform the debate about the value of self-monitoring of blood glucose in people with newly diagnosed type 2 diabetes. Strengths include a setting in primary care, a cluster design, a health economic analysis, a comparison of different methods of monitoring while controlling for other components of training within the context of a quality assured structured education programme and a qualitative sub-study.

TRIAL REGISTRATION

ISRCTN: ISRCTN95696668.

Establishing an evidence base for frequency of monitoring glycated haemoglobin levels in patients with Type 2 diabetes: projections of effectiveness from a regression model

AIMS

Glycated haemoglobin (HbA1c) is monitored to guide treatment decisions in relation to glycaemic goals over time. Changes between two consecutive HbA1c tests result not only from deterioration or improvement in glycaemic control, but also from biovariability and measurement error. We model how this short-term variability impacts on HbA1c monitoring.

METHODS

Using data from a randomized trial of non-insulin treated patients with Type 2 diabetes we fitted a random-effects model for progression and variability of HbA1c. We estimated how many tests where HbA1c ≥ 7.5% (58.5 mmol/mol) would be false-positive (underlying HbA1c < 7.5% but test ≥ 7.5% owing to variability) vs. true-positive, in people with initial HbA1c between 6.5% and 7.3% (48 mmol/mol and 56 mmol/mol).

RESULTS

Participants (n = 320) had mean (SD) age 66 (10) years, BMI 31.3 (6.0) kg/m2 and median HbA1c was 7.1% (54 mmol/mol) with interquartile range 6.6% (49 mmol/mol) to 7.7% (61 mmol/mol). Mean (95% CI) change in HbA1c was 0.1% (1 mmol/mol) with 95% confidence interval 0.05% (0.5 mmol/mol) to 0.15% (2 mmol/mol) per 6 months. The minimum interval at which a true-positive test is more likely than a false positive test is 270 days for a starting HbA1c of 6.9% (52 mmol/mol) and 360 days at a starting value of 6.5% (48 mmol/mol).

CONCLUSION

In patients with initial HbA1c close to treatment goal, retesting at 6 months would yield more true-positive than false-positive tests. For patients with lower initial HbA1c, retesting at 6 months would yield more false than true-positive tests. In all patients, retesting at 12 months yields more true than false-positive tests. In very few patients would retesting at 3 months be justified.

Mobile health for drug dose optimisation

Mobile health monitoring in the management of long term conditions has potential benefits for patient care, especially when coupled with active adjustment of medication dosage. We report studies of patient-led self-titration of oral glucose lowering medication (OGLM) and insulin in type 2 diabetes, and dose adjustments (including dose increases) in oral chemotherapy for metastatic colorectal or breast cancer. Monitoring compliance was high in each case, and the feasibility of patients self-titrating OGLM or insulin following an agreed treatment plan was demonstrated. Chemotherapy dose increases supported by detailed toxicity profiles collected by phone have also been demonstrated.

Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin

BACKGROUND

Self-monitoring of blood glucose (SMBG) has been found to be effective for patients with type 1 diabetes and for patients with type 2 diabetes using insulin. There is much debate on the effectiveness of SMBG as a tool in the self-management for patients with type 2 diabetes who are not using insulin.

OBJECTIVES

To assess the effects of SMBG in patients with type 2 diabetes mellitus who are not using insulin.

SEARCH METHODS

Multiple electronic bibliographic and ongoing trial databases were searched supplemented with handsearches of references of retrieved articles (date of last search: 07 July 2011).

SELECTION CRITERIA

Randomised controlled trials investigating the effects of SMBG compared with usual care, self-monitoring of urine glucose (SMUG) or both in patients with type 2 diabetes who where not using insulin. Studies that used glycosylated haemoglobin A(1c) (HbA(1c)) as primary outcome were eligible for inclusion.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted data from included studies and evaluated the studies' risk of bias. Data from the studies were compared to decide whether they were sufficiently homogeneous to pool in a meta-analysis. Primary outcomes were HbA(1c), health-related quality of life, well-being and patient satisfaction. Secondary outcomes were fasting plasma glucose level, hypoglycaemic episodes, morbidity, adverse effects and costs.

MAIN RESULTS

Twelve randomised controlled trials were included and evaluated outcomes in 3259 randomised patients. Intervention duration ranged from 6 months (26 weeks) to 12 months (52 weeks). Nine trials compared SMBG with usual care without monitoring, one study compared SMBG with SMUG, one study was a three-armed trial comparing SMBG and SMUG with usual care and one study was a three-armed trial comparing less intensive SMBG and more intensive SMBG with a control group. Seven out of 11 studies had a low risk of bias for most indicators. Meta-analysis of studies including patients with a diabetes duration of one year or more showed a statistically significant SMBG induced decrease in HbA(1c) at up to six months follow-up (-0.3; 95% confidence interval (CI) -0.4 to -0.1; 2324 participants, nine trials), yet an overall statistically non-significant SMBG induced decrease was seen at 12 month follow-up (-0.1; 95% CI -0.3 to 0.04; 493 participants, two trials). Qualitative analysis of the effect of SMBG on well-being and quality of life showed no effect on patient satisfaction, general well-being or general health-related quality of life. Two trials reported costs of self-monitoring: One trial compared the costs of self-monitoring of blood glucose with self-monitoring of urine glucose based on nine measurements per week and with the prices in US dollars for self-monitoring in 1990. Authors concluded that total costs in the first year of self-monitoring of blood glucose, with the purchase of a reflectance meter were 12 times more expensive than self-monitoring of urine glucose ($481 or 361 EURO [11/2011 conversion] versus $40 or 30 EURO [11/2011 conversion]). Another trial reported a full economical evaluation of the costs and effects of self-monitoring. At the end of the trial, costs for the intervention were £89 (104 EURO [11/2011 conversion]) for standardized usual care (control group), £181 (212 EURO [11/2011 conversion]) for the less intensive self-monitoring group and £173 (203 EURO [11/2011 conversion]) for the more intensive self-monitoring group. Higher losses to follow-up in the more intensive self-monitoring group were responsible for the difference in costs, compared to the less intensive self-monitoring group.There were few data on the effects on other outcomes and these effects were not statistically significant. None of the studies reported data on morbidity.

AUTHORS' CONCLUSIONS

From this review, we conclude that when diabetes duration is over one year, the overall effect of self-monitoring of blood glucose on glycaemic control in patients with type 2 diabetes who are not using insulin is small up to six months after initiation and subsides after 12 months. Furthermore, based on a best-evidence synthesis, there is no evidence that SMBG affects patient satisfaction, general well-being or general health-related quality of life. More research is needed to explore the psychological impact of SMBG and its impact on diabetes specific quality of life and well-being, as well as the impact of SMBG on hypoglycaemia and diabetic complications.

What do we need beyond hemoglobin A1c to get the complete picture of glycemia in people with diabetes?

Hemoglobin A1c (HbA1c) is currently the most commonly used marker for the determination of the glycemic status in people with diabetes and it is frequently used to guide therapy and especially medical treatment of people with diabetes. The measurement of HbA1c has reached a high level of analytical quality and, therefore, this biomarker is currently also suggested to be used for the diagnosis of diabetes. Nevertheless, it is crucial for people with diabetes and their treating physicians to be aware of possible interferences during its measurement as well as physiological or pathological factors that contribute to the HbA1c concentration without being related to glycemia, which are discussed in this review. We performed a comprehensive review of the literature based on PubMed searches on HbA1c in the treatment and diagnosis of diabetes including its most relevant limitations, glycemic variability and self-monitoring of blood glucose (SMBG). Although the high analytical quality of the HbA1c test is widely acknowledged, the clinical relevance of this marker regarding risk reduction of cardiovascular morbidity and mortality is still under debate. In this respect, we argue that glycemic variability as a further risk factor should deserve more attention in the treatment of diabetes.

Illness perceptions and glycaemic control in diabetes: a systematic review with meta-analysis

AIMS

The Illness Perception Questionnaire, the Revised Illness Perception Questionnaire and the Brief Illness Perception Questionnaire have been widely used to measure people's beliefs about diabetes. This review aimed to synthesize evidence on the relationship between the dimensions of the Illness Perception Questionnaire, the Revised Illness Perception Questionnaire and the Brief Illness Perception Questionnaire and HbA(1c) level in adults with diabetes.

METHODS

A systematic literature search was carried out in January 2010 to identify relevant studies. Random-effects model meta-analyses were conducted with cross-sectional data to quantify the relationship between Illness Perception Questionnaire dimensions and HbA(1c) across studies. Randomized controlled trials that targeted Illness Perception Questionnaire perceptions and included HbA(1c) as an outcome measure were discussed in a narrative review.

RESULTS

Nine cross-sectional studies and four randomized controlled trials were included. Stronger Identity (r+=0.14), Consequences (r+=0.14), Timeline Cyclical (r+ = 0.26) Concern (r+= 0.21), and Emotional Representations (r+=0.18) perceptions had significant positive associations with HbA(1c.) Greater Personal Control (r+=- 0.12) was negatively associated with HbA(1c) . For all relationships, heterogeneity tests were non-significant, suggesting little variability in effect size estimates. Two of the four randomized controlled trials successfully changed illness perceptions, with one also reporting an intervention group reduction in HbA(1c).

CONCLUSIONS

Some Illness Perception Questionnaire dimensions had small significant associations with HbA(1c) , although the direction of these associations remains unclear. There was also tentative evidence that illness perceptions can be positively changed through targeted intervention and that these changes may also impact on glycaemic control. Future research could benefit from tailoring intervention content to perceptions that are most highly associated with HbA(1c).

Experience of hypoglycaemia is associated with changes in beliefs about diabetes in patients with type 2 diabetes

AIM

Hypoglycaemia may have a detrimental impact on quality of life for patients with Type 2 diabetes. There are few clinical studies exploring the impact of experiencing hypoglycaemia on beliefs about diabetes and health status. The aim of this study was to explore associations between experience of hypoglycaemia and changes in diabetes beliefs and self-reported health status in patients with non-insulin-treated Type 2 diabetes using a blood glucose meter.

METHODS

One-year prospective cohort analysis of 226 patients recruited to a randomized trial evaluating the impact of self-monitoring of blood glucose. Self-reported hypoglycaemia over 1 year was categorized into three groups: (1) no experience of hypoglycaemia; (2) blood glucose measurements < 4 mmol/l with no associated symptoms of hypoglycaemia (grade 1); and (3) symptomatic hypoglycaemia (grade 2 and 3). Measures of beliefs about diabetes (Revised Illness Perception Questionnaire) and health status (EuroQol-5D) were assessed at baseline and 1 year. Differences in mean changes over 1 year were explored with analyses of covariance.

RESULTS

There was a significant increase in mean score in beliefs about personal control (1.14; 95%CI 0.14-2.14) among those experiencing grade 1 hypoglycaemia compared with those not experiencing hypoglycaemia. There were no significant differences in changes in health status between groups, with small overall changes that were inconsistent between groups.

CONCLUSIONS

This study does not provide support for a long-term adverse impact on beliefs about diabetes or health status from the experience of mild symptomatic hypoglycaemia, in well-controlled, non-insulin-treated patients with Type 2 diabetes using self-monitoring of blood glucose.

A survey of blood glucose monitoring in patients with type 2 diabetes: are recommendations from health care professionals being followed?

OBJECTIVE

To survey the self-reported use of self-monitoring of blood glucose (SMBG) among patients with type 2 diabetes (T2DM), both insulin users (IUs) and non-insulin users (NIUs), in the United States and to examine: how often patients test; what SMBG instructions patients report receiving from their health care providers (HCPs); how the frequency of testing conforms with reported HCP recommendations for testing; and what is done with the results of testing. Differences between IUs and NIUs were also investigated.

METHODS

A convenience sample of 886 T2DM participants at a series of one-day conferences across the United States completed a survey on current and recommended SMBG frequency, how SMBG results were used, and how HCPs reportedly talked about SMBG issues with the patient. IUs (65% of the sample) and NIUs (35%) were examined separately.

RESULTS

IUs and NIUs reported testing significantly less frequently than was recommended (in both cases, p < 0.001), with wide variations within both groups. Many IUs (42%) and NIUs (50%) did not bring SMBG data regularly to medical visits, and 54% of IUs and 56% of NIUs did not respond regularly to out-of-range SMBG readings. HCPs were generally supportive and responsive to SMBG data. More frequent SMBG was associated with more regular HCP attention to SMBG records, for IUs (p = 0.02) and NIUs (p = 0.004).

CONCLUSIONS

Self-reported SMBG use is common in T2DM, though frequency is lower than HCP recommendations. Wide variations in actual and recommended SMBG were observed. HCP support for SMBG is reportedly common, and is associated with greater SMBG frequency. While SMBG data can be valuable, recommendations are often not followed and data often goes unused by both HCPs and patients.

Cost effectiveness of self-monitoring of blood glucose (SMBG) for patients with type 2 diabetes and not on insulin: impact of modelling assumptions on recent Canadian findings

BACKGROUND

Canadian patients, healthcare providers and payers share interest in assessing the value of self-monitoring of blood glucose (SMBG) for individuals with type 2 diabetes but not on insulin. Using the UKPDS (UK Prospective Diabetes Study) model, the Canadian Optimal Prescribing and Utilization Service (COMPUS) conducted an SMBG cost-effectiveness analysis. Based on the results, COMPUS does not recommend routine strip use for most adults with type 2 diabetes who are not on insulin. Cost-effectiveness studies require many assumptions regarding cohort, clinical effect, complication costs, etc. The COMPUS evaluation included several conservative assumptions that negatively impacted SMBG cost effectiveness.

OBJECTIVES

Current objectives were to (i) review key, impactful COMPUS assumptions; (ii) illustrate how alternative inputs can lead to more favourable results for SMBG cost effectiveness; and (iii) provide recommendations for assessing its long-term value.

METHODS

A summary of COMPUS methods and results was followed by a review of assumptions (for trial-based glycosylated haemoglobin [HbA(1c)] effect, patient characteristics, costs, simulation pathway) and their potential impact. The UKPDS model was used for a 40-year cost-effectiveness analysis of SMBG (1.29 strips per day) versus no SMBG in the Canadian payer setting. COMPUS assumptions for patient characteristics (e.g. HbA(1c) 8.4%), SMBG HbA(1c) advantage (-0.25%) and costs were retained. As with the COMPUS analysis, UKPDS HbA(1c) decay curves were incorporated into SMBG and no-SMBG pathways. An important difference was that SMBG HbA(1c) benefits in the current study could extend beyond the initial simulation period. Sensitivity analyses examined SMBG HbA(1c) advantage, adherence, complication history and cost inputs. Outcomes (discounted at 5%) included QALYs, complication rates, total costs (year 2008 values) and incremental cost-effectiveness ratios (ICERs).

RESULTS

The base-case ICER was $Can63 664 per QALY gained; approximately 56% of the COMPUS base-case ICER. SMBG was associated with modest risk reductions (0.10-0.70%) for six of seven complications. Assuming an SMBG advantage of -0.30% decreased the current base-case ICER by over $Can10 000 per QALY gained. With adherence of 66% and 87%, ICERs were (respectively) $Can39 231 and $Can54 349 per QALY gained. Incorporating a more representative complication history and 15% complication cost increase resulted in an ICER of $Can49 743 per QALY gained.

CONCLUSIONS

These results underscore the importance of modelling assumptions regarding the duration of HbA(1c) effect. The current study shares several COMPUS limitations relating to the UKPDS model being designed for newly diagnosed patients, and to randomized controlled trial monitoring rates. Neither study explicitly examined the impact of varying the duration of initial HbA(1c) effects, or of medication or other treatment changes. Because the COMPUS research will potentially influence clinical practice and reimbursement policy in Canada, understanding the impact of assumptions on cost-effectiveness results seems especially important. Demonstrating that COMPUS ICERs were greatly reduced through variations in a small number of inputs may encourage additional clinical research designed to measure SMBG effects within the context of optimal disease management. It may also encourage additional economic evaluations that incorporate lessons learned and best practices for assessing the overall value of SMBG for type 2 diabetes in insulin-naive patients.

The impact of blood glucose monitoring on depression and distress in insulin-naïve patients with type 2 diabetes

OBJECTIVE

To test whether a structured self-monitoring of blood glucose (SMBG) protocol reduces depressive symptoms and diabetes distress.

RESEARCH DESIGN AND METHODS

A 12-month, cluster-randomised, clinical trial compared patients who received a collaborative, structured SMBG, physician/patient intervention with an active control. Studied were 483 insulin naïve type 2 diabetes patients (experimental = 256, control = 227) (≥ 7.5% HbA1c) from 34 primary care practices (experimental = 21, control = 13). Experimental patients used a paper tool to record a 7-point SMBG profile on each of three consecutive days prior to their quarterly physician visit. Patients and physicians interpreted SMBG results to make medication and lifestyle changes.

CLINICAL TRIAL REGISTRATION

NIH Trial Registry Number: NCT00674986.

MAIN OUTCOME MEASURES

Depressive symptoms (Patient Health Questionnaire: PHQ-8), diabetes-related distress (Diabetes Distress Scale: DDS). HbA1c and SMBG frequency were assessed quarterly; data were analysed using Linear Mixed Models (LMM) for intent-to-treat (ITT) and per protocol (PP) analyses.

RESULTS

ITT analyses showed significant improvement in depression and disease-related distress among experimental and control patients from baseline to 12 months (p < 0.01 in both cases) with no between-group differences. Experimental patients displayed significantly greater reductions in distress related to regimen adherence than controls. Also, experimental patients with elevated diabetes distress or depressive symptoms at baseline showed significantly greater reductions in distress and depressive symptoms than control patients at 12 months. The greater improvement in mood in the experimental than control group was independent of improvements in glycaemic control and changes in SMBG frequency.

CONCLUSIONS

Using well standardised measures, collaborative, structured SMBG leads to reductions, not increases, in depressive symptoms and diabetes distress over time, for the large number of moderately depressed or distressed type 2 patients in poor glycaemic control. Changes in affective status are independent of improvements in glycaemic control and changes in SMBG frequency for these patients.

Consensus report: the current role of self-monitoring of blood glucose in non-insulin-treated type 2 diabetes

The Coalition for Clinical Research--Self-Monitoring of Blood Glucose Scientific Board convened a meeting in San Francisco, CA, July 20-21, 2011, to discuss the current practice of self-monitoring of blood glucose (SMBG) in non-insulin-treated (NIT) type 2 diabetes mellitus (T2DM). Twelve physician panel members from academia, practice, and government attended this meeting. These experts came from the United States, Brazil, Canada, France, Germany, Italy, and the United Kingdom. In addition, three consultants from Australia, Germany, and the United States contributed to the group's final report. This coalition was organized by Diabetes Technology Society. Self-monitoring of blood glucose was studied from eight perspectives related to patients with NIT T2DM: (1) epidemiological studies; (2) randomized controlled trials (RCT)s and meta-analyses; (3) targets, timing, and frequency of SMBG use; (4) incidence and role of SMBG in preventing hypoglycemia with single-drug regimens and combination regimens consisting of antihyperglycemic agents other than secretagogues and insulin; (5) comparison of SMBG with continuous glucose monitoring; (6) technological capabilities and limitations of SMBG; (7) barriers to appropriate use of SMBG; and (8) methods and end points for appropriate future clinical trials. The panel emphasized recent studies, which reflect the current approach for applying this intervention. Among the participants there was consensus that: SMBG is an established practice for patients with NIT T2DM, and to be most effective, it should be performed in a structured format where information obtained from this measurement is used to guide treatment; New, high-quality efficacy data from RCTs have demonstrated efficacy of SMBG in NIT T2DM in trials reported since 2008; Both patients and health care professionals require education on how to respond to the data for SMBG to be effective; and Additional well-defined studies are needed to assess the benefits and costs of SMBG with end points not limited to hemoglobin A1c.

Health technology assessment: an evidence-based medicine perspective

A challenge of health technology assessment is integrating the information from different disciplines. This talk focuses on the evidence-based medicine perspective and challenges 3 assumptions of health technology assessment: assumptions about effectiveness, assumptions about coverage by health technology assessment, and assumptions about costs being immutable. Challenging these assumptions has several implications. First is the need for better evidence on effects: both low-volume, high-cost technologies and low-cost, high-volume technologies that are ineffective drains on health care systems' resources. Second, cheap but effective technologies should be better promoted, as they can displace high-cost technologies. Finally, for effective but expensive technologies, we should work to lower the price and/or costs.

Addressing schemes of self-monitoring of blood glucose in type 2 diabetes: a European perspective and expert recommendation

Self-monitoring of blood glucose (SMBG) in type 2 diabetes has increasingly been shown to display beneficial effects on glycemic control. SMBG is not only associated with a reduction of hemoglobin A1c but has also been demonstrated to increase patients' awareness of the disease. SMBG has also the potential to visualize and predict hypoglycemic episodes. International guidelines by the International Diabetes Federation, the European Society of Cardiology, and the European Association for the Study of Diabetes and also the International Society for Pediatric and Adolescent Diabetes emphasize that SMBG is an integral part of self-management. More recently, two European consensus documents have been published to give recommendations for frequency and timing of SMBG also for various clinical scenarios. Recently, a European expert panel was held to further facilitate and enhance standardized approaches to SMBG. The aim was to present simple, clinically meaningful, and standardized SMBG strategies for type 2 diabetes. The panel recommended a less intensive and an intensive scheme for SMBG across the type 2 diabetes continuum. The length and frequency of SMBG performance depend on the clinical circumstances and the quality of glycemic control. The expert panel also recommended further evaluation of various schemes for SMBG in type 2 diabetes in clinical studies.