Effectiveness of switching from first-generation basal insulin to Glargine 300 U/mL in children and adolescents with type 1 diabetes: results from the ISPED CARD database.

AIMS: Glargine 300 U/mL (Gla-300) has been recently approved for use in children and adolescents with type 1 diabetes (T1D). However, real-world effectiveness data are scarce, and aim of this analysis was to assess clinical outcomes in young patients with T1D switching from 1st generation basal insulin (1BI) to Gla-300. METHODS: ISPED CARD is a retrospective, multicenter study, based on data anonymously extracted from Electronic Medical Records. The study involved a network of 20 pediatric diabetes centers. Data on all patients aged < 18 years with T1D switching from 1BI to Gla-300 were analyzed to assess clinical characteristics at the switch and changes after 6 and 12 months in glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and standardized body mass index (BMI/SDS). Titration of basal and short-acting insulin doses was also evaluated. RESULTS: Overall, 200 patients were identified. The mean age at the switch to Gla-300 was 13 years, and mean duration of diabetes was 3.9 years. Average HbA1c levels at switch were 8.8%. After 6 months, HbA1c levels decreased by - 0.88% (95% CI - 1.28; - 0.48; p < 0.0001). The benefit was maintained after 12 months from the switch (mean reduction of HbA1c levels - 0.80%, 95% CI - 1.25; - 0.35, p = 0.0006). Trends of reduction in FBG levels were also evidenced both at 6 months and 12 months. No significant changes in short-acting and basal insulin doses were documented. CONCLUSIONS: The study provides the first real-world evidence of the effectiveness of Gla-300 in children and adolescents with T1D previously treated with 1BI. The benefits in terms of HbA1c levels reduction were substantial, and sustained after 12 months. Additional benefits can be expected by improving the titration of insulin doses.

Continuous improvement of quality of care in pediatric diabetes: the ISPED CARD clinical registry.

AIM: In Italy, the ISPED CARD initiative was launched to measure and improve quality of care in children and adolescents with type 1 diabetes. METHODS: Process and outcome indicators and the related information derived from electronic medical records were identified. A network of pediatric diabetes centers was created on a voluntary basis. RESULTS: Overall, 20 centers provided data on 3284 patients aged < = 18 years. HbA1c was monitored ≥ 2/year in 81.2% of the cases. BMI was monitored ≥ 1/year in 99.0%, lipid profile in 45.3%, and blood pressure in 91.7%. Pubertal status, albuminuria, eye examination, and screening of celiac disease and thyroiditis were underreported. From 2017 to 2021, average HbA1c levels decreased from 7.8 ± 1.2 to 7.6 ± 1.3%, while patients with LDL cholesterol > 100 mg/dl increased from 18.9 to 36.7%. Prevalence of patients with elevated blood pressure and BMI/SDS values also increased. In 2021, 44.7% of patients were treated with the newest basal insulins, while use of regular human insulin had dropped to 7.7%. Use of insulin pump remained stable (37.9%). CONCLUSIONS: This report documents the feasibility of the ISPED CARD initiative and shows lights and shadows in the care provided. Improving care, increasing number of centers, and ameliorating data recording represent future challenges.

Role of telemedicine during COVID-19 pandemic in type 2 diabetes outpatients: The AMD annals initiative.

AIMS: Telemedicine is advocated as a fundamental tool in modern clinical management. However, data on the effects of telemedicine vs face-to-face consultation on clinical outcomes in type 2 diabetes (T2DM) are still uncertain. This paper describes the use of telemedicine during the 2020 COVID-19 emergency and compares volume activity and quality indicators of diabetes care between face-to-face vs telemedicine counseling in the large cohort of T2DM patients from the AMD Annals Initiative. METHODS: Demographic and clinical characteristics, including laboratory parameters, rate of the screening of long-term complications, current therapies and the Q-score, a validated score that measures the overall quality of care, were compared between 364,898 patients attending face-to-face consultation and 46,424 on telemedicine, during the COVID-19 pandemic. RESULTS: Patients on telemedicine showed lower HbA1c levels (7.1 ± 1.2 % vs 7.3 ± 1.3 %, p < 0.0001), and they were less frequently treated with metformin, GLP1-RAs and SGLT2i and more frequently with DPP4i. The telemedicine group showed reduced monitoring of the various parameters considered as process indicators, especially, eye and foot examination. The proportion of patients with a good quality of care (Q score > 25) was higher among those receiving face-to-face consultation. Moreover, in the telemedicine group, all major clinical outcomes remained stable when further compared to those collected in the year 2019, when the same patients underwent a regular face-to-face consultation, suggesting that the care provided through telemedicine did not negatively affect the most important parameters. CONCLUSIONS: During the COVID-19 pandemic, telemedicine provided an acceptable quality of diabetes care, comparable to that of patients attending face-to-face consultation, although a less frequent screening of complications seems to have occurred in subjects consulted by telemedicine.

Prediction of complications of type 2 Diabetes: A Machine learning approach.

AIM: To construct predictive models of diabetes complications (DCs) by big data machine learning, based on electronic medical records. METHODS: Six groups of DCs were considered: eye complications, cardiovascular, cerebrovascular, and peripheral vascular disease, nephropathy, diabetic neuropathy. A supervised, tree-based learning approach (XGBoost) was used to predict the onset of each complication within 5 years (task 1). Furthermore, a separate prediction for early (within 2 years) and late (3-5 years) onset of complication (task 2) was performed. A dataset of 147.664 patients seen during 15 years by 23 centers was used. External validation was performed in five additional centers. Models were evaluated by considering accuracy, sensitivity, specificity, and area under the ROC curve (AUC). RESULTS: For all DCs considered, the predictive models in task 1 showed an accuracy > 70 %, and AUC largely exceeded 0.80, reaching 0.97 for nephropathy. For task 2, all predictive models showed an accuracy > 70 % and an AUC > 0.85. Sensitivity in predicting the early occurrence of the complication ranged between 83.2 % (peripheral vascular disease) and 88.5 % (nephropathy). CONCLUSIONS: Machine learning approach offers the opportunity to identify patients at greater risk of complications. This can help overcoming clinical inertia and improving the quality of diabetes care.

New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes.

OBJECTIVE: The health and economic burden of type 2 diabetes is of global significance. Many people with type 2 diabetes eventually need insulin to help reduce their risk of serious associated complications. However, barriers to the initiation and/or optimization of insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigated how new and future technologies may provide opportunities to help overcome these barriers to the initiation and/or optimization of insulin. METHODS: A focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support the initiation and/or optimization of insulin were identified by manually filtering >300 publications and conference abstracts. RESULTS: Most software tools have been developed for smartphone platforms. At present, published data suggest that the use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care, with additional benefits such as reduced time burden and improved knowledge of diabetes among health care providers. However, there remains paucity of good-quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin. CONCLUSION: New digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, and titration advice as well as records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve adherence to titration and treatment, resulting in better outcomes for people with diabetes.

INtegration of care for reaching targetS In Diabetic patiEnts: Design of the INSIDE Study.

INTRODUCTION: Three Italian scientific associations of different specialties (AMD, Associazione Medici Diabetologi-for diabetologists; ANMCO,Associazione Nazionale Medici Cardiologi Ospedalieri-for cardiologists; SIMG, Società Italiana di Medicina Generale-for General Practitioners) designed this study to assess whether an integrated care organization comprising three different specialists can improve adherence and can achieve the guidelines targets in a population of individuals with type 2 diabetes, without established cardiovascular disease but at high risk (≥ 20% at 10 years according to the CUORE.ISS risk cards) compared with the current standards of care provided by the Italian National Health Service. METHODS: Thirty primary care centers (general practitioners, GPs), 30 cardiology centers and 30 diabetes centers have been selected by the scientific associations, disseminated in the national territory, on the basis of proven previous cooperation in other studies. Each primary care center will enroll 100 type 2 diabetic subjects, > 45 years old, with no established cardiovascular disease, but with a high risk due to the presence of at least one other risk factor besides diabetes over the cutoff [hypertension > 135/80 mmHg, LDL cholesterol > 70 mg/dl, tobacco smoke, first-degree familiarity for CHD (coronary heart disease), central obesity according the WHO criteria]. Fifteen of 30 selected primary care centers, chosen randomly, will continue the treatment of the 100 identified patients according to their "usual care," driven by Good Clinical Practice and by current guidelines (control group or "UC"-usual care), collecting all available clinical and instrumental data and transferring them to the electronic CRF. The remaining 15, after informed consent, will submit their 100 patients each in a specific integrated pathway, which entails the mandatory operational integration and exchange of information with the diabetes specialists and cardiologists pertaining to the same previously identified area. The integrated care path for the patients in the proband group (IC, integrated care) is based on application of the recommendations of the Italian Guidelines aimed at achieving the proposed targets for the main risk factors [LDL < 70 mg/dl; SBP < 130 mmHg; HbA1c (glycated hemoglobin) ≤ 7% (52 mmol/mol]. All the clinical data will be recorded on a shared electronic CRF. The trial will last 3 years: 6 months for the enrollment and randomization of the centers, 6 months for the enrollment of the probands and control subjects, and 2 years of follow-up. The study will be conducted according the Helsinki Declaration on human experimentation ethics. PLANNED OUTCOMES: The primary planned outcome is represented by the increase in the percentage of people that achieve the target values of at least two out of three of the considered risk factors [HbA1c, SBP (systolic blood pressure), LDL cholesterol] compared with the percentage actually achieved in the control group. The secondary outcomes are: (1) a MACE (major adverse cardiac event) composite: non-fatal myocardial infarction, non-fatal stroke, mortality from any cause and hospitalization for cardiovascular disease; (2) the number of early diagnoses of new onset complications; (3) evaluation of adverse events and safety of the probands and control patients; (4) comparative cost analysis and cost-effectiveness analysis.

A Randomized Controlled, Treat-to-Target Study Evaluating the Efficacy and Safety of Insulin Glargine 300 U/mL (Gla-300) Administered Using Either Device-Supported or Routine Titration in People With Type 2 Diabetes.

BACKGROUND: The efficacy/safety of device-supported versus routine titration with Gla-300 in type 2 diabetes (T2DM) was evaluated. METHOD: AUTOMATIX was a 16-week, randomized, open-label, parallel-group, multicenter, noninferiority trial in insulin-treated or insulin-naïve people with T2DM. The fasting self-monitored plasma glucose (FSMPG) target was 90-130 mg/dL (5.0-7.2 mmol/L). Primary endpoint: proportion of participants achieving target FSMPG at week 16 without severe hypoglycemia. Secondary endpoints included: proportion reaching FSMPG target without confirmed (≤70 mg/dL [≤3.9 mmol/L]) or severe hypoglycemia; time to first achieve FSMPG target; mean FSMPG and HbA1c change (baseline to week 16). Safety endpoints included hypoglycemia and adverse events. Patient-reported outcomes (PROs) were also assessed. RESULTS: Participants were randomized to device-supported (n = 75) or routine titration (n = 76); 17 participants in the device-supported group discontinued device use. Noninferiority was achieved for the primary endpoint (device-supported: 45.9%, routine: 36.8%; weighted difference: 9.04 [95% CI: -6.75, 24.83]), but not superiority (P = .262). The proportion reaching FSMPG target range without confirmed (≤70 mg/dL [≤3.9 mmol/L]) or severe hypoglycemia was 34.3% vs 14.5%, respectively. The time at which 50% of the participants achieved the FSMPG target was less in the device-supported than routine titration arm (10 vs 13 weeks). Least squares mean HbA1c reduction, safety profiles, and PROs were similar in both arms. Mean "ease of use" score for the device, assessed by healthcare professionals and participants on a scale of 1-7, was ≥6. CONCLUSIONS: Device-supported self-titration had a good safety/efficacy profile, and was noninferior to routine titration and well accepted by diabetes specialists and patients.

Insulin regimens and glycemic control in different parts of Europe over 4years after starting insulin in people with type 2 diabetes: Data from the CREDIT non-interventional study.

AIMS: A number of insulin regimens are used in type 2 diabetes. This analysis aims to better understand the evolution of insulin therapy in different regions of Europe. METHODS: Data from people starting any insulin were collected in eastern Europe (EEur: Croatia, Russia, Ukraine), northern Europe (NEur: Finland, Germany, UK) and southern Europe (SEur: France, Italy, Portugal, Spain). Retrospective data on starting insulin and prospective follow-up data were extracted from clinical records. RESULTS: At 4years, 1699 (76.0%) of 2236 eligible people had data. EEur participants were mostly female, younger and had shorter diabetes duration on starting insulin, yet had highest baseline HbA1c and more micro-/macrovascular disease. A majority (60%-64%) in all regions started on basal insulin alone, declining to 30%-38% at 4years, with most switching to basal+mealtime insulin regimen (24%-40%). Higher baseline (28%) and 4-year use (34%) of premix insulin was observed in NEur. Change in HbA1c (SD) ranged from -1.2 (2.1)% (-13 [23]mmol/mol) in NEur to -2.4 (2.0)% (-26 [22]mmol/mol) in EEur. Weight change ranged from +1.9 (8.3) kg in NEur to +3.2 (7.0) kg in SEur. Overall documented hypoglycemia ranged from 0.3 (1.3) to 1.3 (4.4) events/person/6-months (NEur vs. EEur, respectively) and was stable with time. Severe hypoglycemia rates remained low. CONCLUSION: When starting insulin, HbA1c and prevalence of complications were higher in EEur. Regional differences exist in choice of insulin regimens in Europe. However, people starting insulin improved and sustained their glycemic control regardless of regional differences or insulin regimens used.

Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy.

BACKGROUND: Mobile health apps for diabetes self-management have different functions. However, the efficacy and safety of each function are not well studied, and no classification is available for these functions. OBJECTIVE: The aims of this study were to (1) develop and validate a taxonomy of apps for diabetes self-management, (2) investigate the glycemic efficacy of mobile app-based interventions among adults with diabetes in a systematic review of randomized controlled trials (RCTs), and (3) explore the contribution of different function to the effectiveness of entire app-based interventions using the taxonomy. METHODS: We developed a 3-axis taxonomy with columns of clinical modules, rows of functional modules and cells of functions with risk assessments. This taxonomy was validated by reviewing and classifying commercially available diabetes apps. We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, the Chinese Biomedical Literature Database, and ClinicalTrials.gov from January 2007 to May 2016. We included RCTs of adult outpatients with diabetes that compared using mobile app-based interventions with usual care alone. The mean differences (MDs) in hemoglobin A1c (HbA1c) concentrations and risk ratios of adverse events were pooled using a random-effects meta-analysis. After taxonomic classification, we performed exploratory subgroup analyses of the presence or absence of each module across the included app-based interventions. RESULTS: Across 12 included trials involving 974 participants, using app-based interventions was associated with a clinically significant reduction of HbA1c (MD 0.48%, 95% CI 0.19%-0.77%) without excess adverse events. Larger HbA1c reductions were noted among patients with type 2 diabetes than those with type 1 diabetes (MD 0.67%, 95% CI 0.30%-1.03% vs MD 0.36%, 95% CI 0.08%-0.81%). Having a complication prevention module in app-based interventions was associated with a greater HbA1c reduction (with complication prevention: MD 1.31%, 95% CI 0.66%-1.96% vs without: MD 0.38%, 95% CI 0.09%-0.67%; intersubgroup P=.01), as was having a structured display (with structured display: MD 0.69%, 95% CI 0.32%-1.06% vs without: MD 0.16%, 95% CI 0.16%-0.48%; intersubgroup P=.03). However, having a clinical decision-making function was not associated with a larger HbA1c reduction (with clinical decision making: MD 0.18%, 95% CI 0.21%-0.56% vs without: MD 0.61%, 95% CI 0.27%-0.95%; intersubgroup P=.10). CONCLUSIONS: The use of mobile app-based interventions yields a clinically significant HbA1c reduction among adult outpatients with diabetes, especially among those with type 2 diabetes. Our study suggests that the clinical decision-making function needs further improvement and evaluation before being added to apps.

The complex interplay between clinical and person-centered diabetes outcomes in the two genders.

BACKGROUND: New approaches to cope with clinical and psychosocial aspects of type 2 diabetes (T2DM) are needed; gender influences the complex interplay between clinical and non-clinical factors. We used data from the BENCH-D study to assess gender-differences in terms of clinical and person-centered measures in T2DM. METHODS: Clinical quality of care indicators relative to control of HbA1c, lipid profile, blood pressure, and BMI were derived from electronic medical records. Ten self-administered validated questionnaires (SF-12 Health Survey; WHO-5 well-being index; Problem Areas in Diabetes (PAID) 5, Health Care Climate Questionnaire, Patients Assessment of Chronic Illness Care, Diabetes Empowerment Scale, Diabetes Self-care Activities, Global Satisfaction for Diabetes Treatment, Barriers to Taking Medications, Perceived Social Support) were adopted as person-centered outcomes indicators. RESULTS: Overall, 26 diabetes clinics enrolled 2,335 people (men: 59.7%; women: 40.3%). Lower percentages of women reached HbA1c levels < =7.0% (23.2% vs. 27.8%; p = 0.03), LDL-cholesterol < 100 mg/dl (48.3 vs. 57.8%; p = 0.0005), and BMI <27 Kg/m2 (27.2 vs. 31.6%; p = 0.04) than men. Women had statistically significant poorer scores for physical functioning, psychological well-being, self-care activities dedicated to physical activities, empowerment, diabetes-related distress, satisfaction with treatment, barriers to medication taking, satisfaction with access to chronic care and healthcare communication, and perceived social support than men; 24.8% of women and 8.8% of men had WHO-5 < =28 (likely depression) (p < 0.0001); 67.7% of women and 55.1% of men had PAID-5 > 40 (high levels of diabetes-related distress) (p < 0.0001). At multivariate analysis, factors associated with an increased likelihood of having elevated HbA1c levels (≥8.0%) were different in men and women, e.g. having PAID-5 levels >40 was associated with a higher likelihood of HbA1c ≥8.0% in women (OR = 1.15; 95%CI 1.05-1.25) but not in men (OR = 1.00; 95%CI 0.93-1.08). CONCLUSIONS: In T2DM, women show poorer clinical and person-centered outcomes indicators than men. Diabetes-related distress plays a role as a correlate of metabolic control in women but not in men. The study provides new information about the interplay between clinical and person-centered indicators in men and women which may guide further improvements in diabetes education and support programs.

Correlates of diabetes-related distress in type 2 diabetes: Findings from the benchmarking network for clinical and humanistic outcomes in diabetes (BENCH-D) study.

OBJECTIVE: To evaluate correlates of high diabetes-related distress (HD) among individuals with type 2 diabetes mellitus (T2DM). METHODS: The study involved a sample of patients with T2DM who filled in the Problem Areas in Diabetes questionnaire (PAID-5); a score ≥ 40 indicates HD. Additional instruments included: SF12 health survey (SF12), Well-Being Index (WHO-5), Diabetes Empowerment Scale-Short Form (DES-SF), Patient Assessment of Chronic Illness Care-Short Form (PACIC-SF), Health Care Climate-Short Form (HCC-SF), Global Satisfaction with Diabetes Treatment (GSDT), Summary of Diabetes Self-Care Activities (SDSCA-6); Barriers to Medications (BM), Perceived Social Support (PSS). Clinical data were extracted from computerized medical records. Multivariable logistic regression analyses were performed to identify correlates of HD. RESULTS: Of 2374 patients (mean age 65.0±10.2 years, diabetes duration 14.0±15.3 years, 59.9% males), 1429 (60.2%) had HD. Compared to patients with a PAID-5 score<40 those with HD were more often female, living alone, had a lower level of education, higher HbA1c levels, a greater perceived impact of hyperglycemic and hypoglycemic symptoms, a greater number of diabetes-related complications, lower scores of WHO-5, DES-SF, PSS, GSDT, SF-12 PCS, SDSCA-healthy diet and physical activity subscales, higher scores of BM and SDSCA-SMBG component. Multivariable analyses confirmed the relationship between HD and symptoms of hyperglycemia, levels of empowerment, global satisfaction with treatment, perception of barriers to medication, and psychological well-being. Conclusion HD is extremely common among people with T2DM, affecting almost two-thirds of patients. High levels of distress are associated with worse clinical and psychosocial outcomes and should be considered as a key patient-centered indicator.

Interplay among patient empowerment and clinical and person-centered outcomes in type 2 diabetes. The BENCH-D study.

OBJECTIVE: We evaluated empowerment in T2DM and identified its correlates. METHODS: A sample of individuals self-administered the Diabetes Empowerment Scale-Short Form (DES-SF) and other 9 validated instruments (person-centered outcomes). Correlates of DES-SF were identified through univariate and multivariate analyses. For person-centered outcomes, ORs express the likelihood of being in upper quartile of DES-SF (Q4) by 5 units of the scale. RESULTS: Overall, 2390 individuals were involved. Individuals in Q4 were younger, more often males, had higher levels of school education, lower HbA1c levels and prevalence of complications as compared to individuals in the other quartiles. The likelihood of being in Q4 was directly associated with higher selfreported self-monitoring of blood glucose (SDSCA6-SMBG) (OR=1.09; 95% CI: 1.03-1.15), higher satisfaction with diabetes treatment (GSDT) (OR=1.15; 95% CI: 1.07-1.25), perceived quality of chronic illness care and patient support (PACIC-SF) (OR=1.23; 95% CI: 1.16-1.31), and better person-centered communication (HCC-SF) (OR=1.10; 95% CI: 1.01-1.19) and inversely associated with diabetes-related distress (PAID-5) (OR=0.95; 95% CI: 0.92-0.98). Adjusted DES-SF mean scores ranged between centers from 69.8 to 93.6 (intra-class correlation=0.10; p<0.0001). CONCLUSIONS: Empowerment was associated with better glycemic control, psychosocial functioning and perceived access to person-centered chronic illness care. Practice of diabetes center plays a specific role. PRACTICE IMPLICATIONS: DES-SF represents a process and outcome indicator in the practice of diabetes centers.

Four-year evolution of insulin regimens, glycaemic control, hypoglycaemia and body weight after starting insulin therapy in type 2 diabetes across three continents.

AIMS: It is of interest to understand how insulin therapy currently evolves in clinical practice, in the years after starting insulin in people with type 2 diabetes. We aimed to describe this evolution prospectively over 4 years, to assist health care planning. METHODS: People who had started any insulin were identified from 12 countries on three continents. Baseline, then yearly follow-up, data were extracted from clinical records over 4 years. RESULTS: Of the 2999 eligible people, 2272 were followed over 4 years. When starting insulin, mean (SD) duration of diabetes was 10.6 (7.8) years, HbA1c 9.5 (2.0)% (80 [22]mmol/mol) and BMI 29.3 (6.3)kg/m(2). Initial insulin therapy was basal 52%, premix 23%, mealtime+basal 14%, mealtime 8% and other 3%; at 4 years, 30%, 25%, 33%, 2% and 5%, respectively, with 5% not on insulin. Insulin dose was 20.2U/day at the start and 45.8U/day at year 4. There were 1258 people (55%) on their original regimen at 4 years, and this percentage differed according to baseline insulin regimen. HbA1c change was -2.0 (2.2)% (-22 [24]mmol/mol) and was similar by final insulin regimen. Hypoglycaemia prevalence was <20% in years 1-4. Body weight change was mostly in year 1, and was very variable, mean +2.7 (7.5)kg at year 4. CONCLUSION: Different insulin regimens were started in people with differing characteristics, and they evolved differently; insulin dose, hypoglycaemia and body weight change were diverse and largely independent of regimen.

Trends over 8 years in quality of diabetes care: results of the AMD Annals continuous quality improvement initiative.

OBJECTIVE: Quality of care monitoring is a key strategy for health policy. In Italy, the AMD Annals continuous monitoring and quality improvement initiative has been in place since 2006. Results after 8 years are now available. RESEARCH DESIGN AND METHODS: Quality of diabetes care indicators during the years 2004-2011 were extracted from electronic medical records of 300 diabetes clinics. From 200,000 to 500,000 patients with type 2 diabetes were analyzed per year. Six process indicators, eight intermediate outcome indicators, seven indicators of treatment intensity/appropriateness, and a quality of care summary score (Q score) were evaluated. Previous studies documented that the risk of developing a new cardiovascular event was 80 % higher in patients with a Q score <15 and 20 % higher in those with a score between 15 and 25, as compared to those with a score >25. RESULTS: The proportion of patients with HbA1c ≤7 %, LDL cholesterol <100 mg/dl, and blood pressure ≥140/90 mmHg increased by 4.8, 21.9, and 10.0 %, respectively. Process and treatment intensity/appropriateness indicators consistently improved. The proportion of patients with a Q score <15 decreased from 13.5 to 6.5 %, while those with a Q score >25 increased from 22.9 to 38.5 %. CONCLUSIONS: AMD Annals document the progress in quality of diabetes care. Longitudinal improvements in Q score can translate into less cardiovascular events, with evident clinical and economic implications. AMD Annals represent a physician-led effort not requiring allocation of extra-economic resources, which is easy to implement and deeply rooted in routine clinical practice. They are a potential case model for other healthcare systems.

Benchmarking network for clinical and humanistic outcomes in diabetes (BENCH-D) study: protocol, tools, and population.

BACKGROUND: In the context of the DAWN-2 initiatives, the BENCH-D Study aims to test a model of regional benchmarking to improve not only the quality of diabetes care, but also patient-centred outcomes. METHODS/DESIGN: As part of the AMD-Annals quality improvement program, 32 diabetes clinics in 4 Italian regions extracted clinical data from electronic databases for measuring process and outcome quality indicators. A random sample of patients with type 2 diabetes filled in a questionnaire including validated instruments to assess patient-centred indicators: SF-12 Health Survey, WHO-5 Well-Being Index, Diabetes Empowerment Scale, Problem Areas in Diabetes, Health Care Climate Questionnaire, Patients Assessment of Chronic Illness Care, Barriers to Medications, Patient Support, Diabetes Self-care Activities, and Global Satisfaction for Diabetes Treatment. Data were discussed with participants in regional meetings. Main problems, obstacles and solutions were identified through a standardized process, and a regional mandate was produced to drive the priority actions. Overall, clinical indicators on 78,854 patients have been measured; additionally, 2,390 patients filled-in the questionnaire. The regional mandates were officially launched in March 2012. Clinical and patient-centred indicators will be evaluated again after 18 months. A final assessment of clinical indicators will take place after 30 months. DISCUSSION: In the context of the BENCH-D study, a set of instruments has been validated to measure patient well-being and satisfaction with the care. In the four regional meetings, different priorities were identified, reflecting different organizational resources of the different areas. In all the regions, a major challenge was represented by the need of skills and instruments to address psychosocial issues of people with diabetes. The BENCH-D study allows a field testing of benchmarking activities focused on clinical and patient-centred indicators.

Impact of the "Diabetes Interactive Diary" telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes.

BACKGROUND: Telemedicine systems based on mobile phones represent new promising educational tools. The "Diabetes Interactive Diary" (DID) is a carbohydrate/bolus calculator promoting the patient-physician communication via short message service. This study aimed to compare the efficacy of the DID versus usual care on metabolic control, hypoglycemia, and quality of life. PATIENTS AND METHODS: Patients with type 1 diabetes on a basal:bolus regimen with insulin glargine and insulin glulisine, not previously educated on carbohydrate (CHO) counting, were randomized to DID (Group A; n=63) or traditional education (Group B; n=64). Generalized hierarchical linear regression models for repeated measures were applied to compare changes between groups. Incidence of hypoglycemia was compared using Poisson regression models. RESULTS: Of 127 patients (age, 36.9±10.5 years; diabetes duration, 16.3±9.3 years), 15 (11.8%) dropped out. After 6 months, hemoglobin A1c (HbA1c) levels decreased by -0.49±0.11 in Group A and -0.48±0.11 in Group B (P=0.73). Group A showed a 86% lower risk of grade 2 hypoglycemia than Group B. Compared with usual care, DID improved the "perceived frequency of hyperglycemic episodes" scale of the Diabetes Treatment Satisfaction Questionnaire and the "social relations" and the "fear of hypoglycemia" dimensions of the Diabetes Specific Quality of Life Scale. Results obtained with DID markedly differ among patients and centers. CONCLUSIONS: DID is no more effective than traditional CHO counting education in reducing HbA1c levels. DID reduces the risk of moderate/severe hypoglycemia and improves quality of life. A better understanding of patients' and healthcare professionals' attitudes associated with an effective care supported by technology is essential to avoid waste of resources.

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.

Telecare Provides comparable efficacy to conventional self-monitored blood glucose in patients with type 2 diabetes titrating one injection of insulin glulisine-the ELEONOR study.

BACKGROUND: We compared telecare and conventional self-monitored blood glucose (SMBG) programs for titrating the addition of one bolus injection of insulin glulisine in patients with type 2 diabetes uncontrolled on oral hypoglycemic agents for ≥3 months who were first titrated with basal insulin glargine. METHODS: This randomized, multicenter, parallel-group study included 241 patients (mean screening glycosylated hemoglobin [HbA(1c)], 8.8% [73 mmol/mol]). In the run-in phase, any antidiabetes medication, except for metformin, was discontinued. Metformin was then up-titrated to 2 g/day (1 g twice daily) until study completion. Following run-in, all patients started glargine for 8-16 weeks, targeting fasting plasma glucose (FPG) ≤5.6 mmol/L using conventional SMBG. Patients with FPG ≤7 mmol/L added a glulisine dose at the meal with the highest postprandial plasma glucose excursion, titrated to target 2-h postprandial plasma glucose level <7.8 mmol/L using telecare or SMBG for 24 weeks. Patients with FPG >7 mmol/L at week 16 were withdrawn from the study. RESULTS: After glargine titration, 224 patients achieved FPG ≤7 mmol/L, without any difference between telecare and SBMG groups (mean±SD, 6.2±0.8 vs. 6.0±0. 9 mmol/L, respectively). HbA(1c) levels were lower following titration and were similar for telecare and SMBG (7.9±0.9% vs. 7.8±0.9% [63 vs. 62 mmol/mol], respectively). Adding glulisine further reduced HbA(1c) in both groups (-0.7% vs. -0.7%); 45.2% and 54.8% (P=0.14), respectively, of patients achieved HbA(1c) ≤7.0% (≤53 mmol/mol). Weight change and hypoglycemia were similar between groups. CONCLUSIONS: Patients adding one dose of glulisine at the meal with the highest postprandial plasma glucose excursion to titrated basal glargine achieved comparable improvements in glycemic control irrespective of traditional or telecare blood glucose monitoring.