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Background Digital health interventions are effective for hypertension self-management, but a comparison of the effectiveness and implementation of the different modes of interventions is not currently available. This study aimed to compare the effectiveness of SMS, smartphone application, and website interventions on improving blood pressure in adults with hypertension, and to report on their reach, uptake, and feasibility. Methods In this systematic review and meta-analysis we searched CINAHL Complete, Cochrane Central Register of Controlled Trials, Ovid Embase, Ovid MEDLINE, and APA PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) published in English from Jan 1, 2009, that examined the effectiveness of digital health interventions on reducing blood pressure in adults with hypertension. Screening was carried out using Covidence, and data were extracted following Cochrane's guidelines. The primary endpoint was change in the mean of systolic blood pressure. Risk of bias was assessed with Cochrane Risk of Bias 2. Data on systolic and diastolic blood pressure reduction were synthesised in a meta-analysis, and data on reach, uptake and feasibility were summarised narratively. Grading of Recommendations, Assessment, Development, and Evaluation criteria were used to evaluate the level of evidence. The study was registered with PROSPERO CRD42021247845. Findings Of the 3235 records identified, 29 RCTs from 13 regions (n=7592 participants) were included in the systematic review, and 28 of these RCTs (n=7092 participants) were included in the meta-analysis. 11 studies used SMS as the primary mode of delivery of the digital health intervention, 13 used smartphone applications, and five used websites. Overall, digital health intervention group participants had a –3·62 mm Hg (95% CI –5·22 to –2·02) greater reduction in systolic blood pressure, and a –2·45 mm Hg (–3·83 to –1·07) greater reduction in diastolic blood pressure, compared with control group participants. No statistically significant differences between the three different modes of delivery were observed for both the systolic (p=0·73) and the diastolic blood pressure (p=0·80) outcomes. Smartphone application interventions had a statistically significant reduction in diastolic blood pressure (–2·45 mm Hg [–4·15 to –0·74]); however, there were no statistically significant reductions for SMS interventions (–1·80 mm Hg [–4·60 to 1·00]) or website interventions (–3·43 mm Hg [–7·24 to 0·38]). Due to the considerable heterogeneity between included studies and the high risk of bias in some, the level of evidence was assigned a low overall score. Interventions were more effective among people with greater severity of hypertension at baseline. SMS interventions reported higher reach and smartphone application studies reported higher uptake, but differences were not statistically significant. Interpretation SMS, smartphone application, and website interventions were associated with statistically and clinically significant systolic and diastolic blood pressure reductions, compared with usual care, regardless of the mode of delivery of the intervention. This conclusion is tempered by the considerable heterogeneity of included studies and the high risk of bias in most. Future studies need to describe in detail the mediators and moderators of the effectiveness and implementation of these interventions, to both further improve their effectiveness as well as increase their reach, uptake, and feasibility.

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.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.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.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.

Body impedance analysis (BIA) is used to evaluate the human body composition by measuring the resistance and reactance of human tissues with a high-frequency, low-intensity electric current. Nonetheless, the estimation of the body composition is influenced by many factors: body status, environmental conditions, instrumentation, and measurement procedure. This work studies the effect of the connection cables, conductive electrodes, adhesive gel, and BIA device characteristics on the measurement uncertainty. Tests were initially performed on electric circuits with passive elements and on a jelly phantom simulating the body characteristics. Results showed that the cables mainly contribute to increase the error on the resistance measurement, while the electrodes and the adhesive introduce a negligible disturbance on the measurement chain. This paper also proposes a calibration procedure based on a multivariate linear regression to compensate for the systematic error effect of BIA devices.

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

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.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 filtering300 publications and conference abstracts.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.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.

To construct predictive models of diabetes complications (DCs) by big data machine learning, based on electronic medical records.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).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).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.

The prediction of the risk profile related to the cardiopathy complication is a core research task that could support clinical decision making. However, the design and implementation of a clinical decision support system based on Electronic Health Record (EHR) temporal data comprise of several challenges. Several single task learning approaches consider the prediction of the risk profile related to a specific diabetes complication (i.e., cardiopathy) independent from other complications. Accordingly, the state-of-the-art multi-task learning (MTL) model encapsulates only the temporal relatedness among the EHR data. However, this assumption might be restricted in the clinical scenario where both spatio-temporal constraints should be taken into account. The aim of this study is the proposal of two different MTL procedures, called spatio-temporal lasso (STL-MTL) and spatio-temporal group lasso (STGL-MTL), which encode the spatio-temporal relatedness using a regularization term and a graph-based approach (i.e., encoding the task relatedness using the structure matrix). Experimental results on a real-world EHR dataset demonstrate the robust performance and the interpretability of the proposed approach.

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.

Background and Aims: Innovative technologies supporting healthcare professionals (HCPs) and patients in the review of self-monitoring blood glucose (SMBG) data may aid clinical and educational approach to diabetes management. MyStar Connect® (MSC) is a diabetes data management software that helps HCPs review patient data and adjust diabetes therapy. Filtering mechanisms are needed to visualize data efficiently. We developed a pattern recognition engine (PRE) for visualization of glycemic patterns of SMBG data in MSC. Method: 3-month of SMBG data from 184 insulin- and non-insulin treated patients, at low testing frequency (0.5-2 tests per day), were independently evaluated by three expert assessors. Daily and weekly hypo- and hyperglycemic patterns were identified, and compared to those identified by the PRE. Discrepancies were reconciled through discussion between the assessors. The rate of agreement between assessors and PRE was evaluated. The analyses were conducted separately for hypoglycemic and hyperglycemic patterns. Results: Daily patterns: 56 hypoglycemic and 247 hyperglycemic patterns were identified by the PRE. No disagreement was noted in the assessment of hypoglycemic patterns between the PRE and the assessors. In 23 cases of hyperglycemic patterns, a disagreement was noted, due to the PRE missing a pattern considered as present by the assessors. After further clarification, 18 cases were reconciled. Therefore, the rate of agreement between the PRE and the assessors was 100% for hypoglycemic patterns and 98% for hyperglycemic patterns. Weekly patterns: The assessors recognized that the PRE provided information not easily inferable by simple review of SMBG data. PRE was therefore considered reliable for all the patterns identified. Conclusion: The implementation of PRE can represent a useful tool to guide HCPs’ treatment decisions and educate patients performing SMBG at a low frequency. Disclosure G. Vespasiani: Consultant; Self; METEDA Srl. Other Relationship; Spouse/Partner; METEDA Srl. A. Nicolucci: None. M. Saleh: Employee; Self; Sanofi. J. Sieber: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. G. Prosperini: None. C. Suraci: None. M. Galetta: None. G. Grassi: None.

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.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 score15 and 20 % higher in those with a score between 15 and 25, as compared to those with a score25.The proportion of patients with HbA1c ≤7 %, LDL cholesterol100 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 score15 decreased from 13.5 to 6.5 %, while those with a Q score25 increased from 22.9 to 38.5 %.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.

UNSTRUCTURED In “Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy” (JMIR Mhealth Uhealth 2017;5(3):e35), there was an error in Table 2. The “Mean (SD) HbA1c, %: baseline; end; change” for “Rossi 2013[1]” should read “I: 8.4 (NR); 7.9 (NR); –0.5 (NR); C: 8.5 (NR); 8.1 (NR); –0.5 (NR)” instead of “I: 8.4 (0.1); 7.9 (0.1); –0.5 (0.1); C: 8.5 (0.1); 8.1 (0.1); –0.5 (0.1)”. As a result, data were slightly changed as follows

BackgroundMobile 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. ObjectiveThe 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. MethodsWe 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. ResultsAcross 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%-0.78%) 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 0.37%, 95% CI –0.12%-0.86%). 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 0.69%, 95% CI –0.18%-0.53%; intersubgroup P=.03). However, having a clinical decision-making function was not associated with a larger HbA1c reduction (with clinical decision making: MD 0.19%, 95% CI –0.24%-0.63% vs without: MD 0.61%, 95% CI 0.27%-0.95%; intersubgroup P=.14). ConclusionsThe 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.

Aims The Associazione Medici Diabetologi-annals initiative is a physician-led quality-of-care improvement scheme that has been shown to improve HbA1c concentration, blood pressure, lipid profiles and BMI in enrolled people with Type 2 diabetes. The present analysis investigated the long-term cost-effectiveness of enrolling people with Type 2 diabetes in the Associazione Medici Diabetologi-annals initiative compared with conventional management. Methods Long-term projections of clinical outcomes and direct costs (in 2010 Euros) were made using a published and validated model of Type 2 diabetes in people with Type 2 diabetes who were either enrolled in the Associazione Medici Diabetologi-annals initiative or who were receiving conventional management. Treatment effects were based on mean changes from baseline seen at 5 years after enrolment in the scheme. Costs and clinical outcomes were discounted at 3% per annum. Results The Associazione Medici Diabetologi-annals initiative was associated with improvements in mean discounted life expectancy and quality-adjusted life expectancy of 0.55 years (95% CI 0.54–0.57) years and 0.48 quality-adjusted life years (95% CI 0.46–0.49), respectively, compared with conventional management. Whilst treatment costs were higher in the Associazione Medici Diabetologi-annals arm, this was offset by savings as a result of the reduced incidence and treatment of diabetes-related complications. The Associazione Medici Diabetologi-annals initiative was found to be cost-saving over patient lifetimes compared with conventional management [€ 37,289 (95% CI 37,205–37,372) vs € 41,075 (95% CI 40,956–41,155)]. Conclusions Long-term projections indicate that the physician-led Associazione Medici Diabetologi-annals initiative represents a cost-saving method of improving long-term clinical outcomes compared with conventional management of people with Type 2 diabetes in Italy.

OBJECTIVE The QUASAR (Quality Assessment Score and Cardiovascular Outcomes in Italian Diabetes Patients) study aimed to assess whether a quality-of-care summary score predicted the development of cardiovascular (CV) events in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS In 67 diabetes clinics, data on randomly selected patients were extracted from electronic medical records. The score was calculated using process and outcome indicators based on monitoring, targets, and treatment of A1C, blood pressure, LDL cholesterol, and microalbuminuria. The score ranged from 0 to 40. RESULTS Overall, 5,181 patients were analyzed; 477 (9.2%) patients developed a CV event after a median follow-up of 28 months. The incidence rate (per 1,000 person-years) of CV events was 62.4 in patients with a score of 25. Multilevel analysis, adjusted for clustering and case-mix, showed that the risk to develop a new CV event was 84% higher in patients with a score of 25. Mean quality score varied across centers from 16.5 ± 7.5 to 29.1 ± 6.3. When the score was tested as the dependent variable, it emerged that 18% of the variance in the score could be attributed to setting characteristics. CONCLUSIONS Our study documented a close relationship between quality of diabetes care and long-term outcomes. A simple score can be used to monitor quality of care and compare the performance of different centers/physicians.

Diabet. Med. 27, 1041–1048 (2010) Abstract Aims We evaluated the impact of a continuous quality improvement effort implemented by a network of Italian diabetes clinics operating in the national healthcare system. Methods This was a controlled before-and-after study involving 95 centres, of which 67 joined the initiative since 2004 (group A) and 18 were first involved in 2007 (group B, control). All centres used electronic medical record systems. Information on quality indicators was extracted for the period 2004–2007. Data were centrally analysed anonymously and results were published annually. Each centre’s performance was ranked against the ‘best performers’. We compared quality indicators between the two groups of centres over 4 years. Results Over 100 000 Type 2 diabetes mellitus patients were evaluated annually. The proportion of patients with glycated haemoglobin levels

The aim of this multicenter, longitudinal, single-arm, pre-post comparison was to test a telemedicine system able to promote body weight reduction, nutritional education, and consumption of fresh local produce.DAI (MeTeDa srl, San Benedetto del Tronto, Italy) is a software for mobile phones to support patients following a specific dietetic program. It facilitates the communication between the patient and dietician via short text messages. Overall, three specialized dieticians enrolled 140 consecutive patients with body mass index (BMI)or=25 kg/m(2) who voluntered to follow a specific diet program to be managed with DAI. At baseline and after 20 weeks, data on body weight, waist circumference, BMI, fasting blood glucose, lipid profile, food habits, and physical activity were collected and compared by the Wilcoxon test or the McNemar test.Overall, 115 individuals (82.1%) completed the follow-up. The mean (95% confidence interval) reduction in body weight was -2.5 (-3.2; -1.8) kg, whereas the reduction in waist circumference was -3.7 (-4.6; -2.9) cm, and that in BMI was 1.0 (-0.7; -1.2) kg/m(2). The software was useful as an educational tool: participants achieving the Mediterranean diet targets increased from 14.4% to 69.8% after 20 weeks. On average, each patient recognized and chose fresh local vegetables eight times per week during the follow-up. Participants regularly communicated with dieticians through short text messages.This study allowed the documentation of the efficacy of a new telemedicine system in supporting people who need to lose body weight. The tool was also suitable for a more articulated initiative of "nutritional education" aiming to promote the healthy properties of the Mediterranean diet and the consumption of local produce.

Background and aims Obesity is a potential risk factor for renal disease in non-diabetic subjects. It remains unclear whether this also applies to diabetic patients. We investigated whether obesity predicted changes in albumin excretion rate in individuals with type 2 diabetes. Methods and results Fifty Italian diabetes outpatient clinics enrolled a random sample of 1289 patients. A morning spot urine sample was collected to determine urinary albumin/creatinine ratio (ACR) at baseline and after 1 year from the study initiation. Progression of albumin excretion was defined as a doubling in ACR, while regression was defined as a 50% reduction. Multivariate logistic regression analyses were used to evaluate correlates of these outcomes. Data are expressed as odds ratios (OR) with 95% confidence intervals (CI). The risk of progression increased by 7% (OR = 1.07; 95%CI 1.00–1.15) for every 5-cm increase in waist circumference measured at baseline, and by 17% (OR = 1.17; 95%CI 1.03–1.33) for every one-unit increase in BMI during follow-up. The likelihood of regression was not independently associated with any of the variables investigated. The effect of obesity on progression of ACR was independent of metabolic control, blood pressure, treatment, and baseline level of albumin excretion. Conclusions We found a tight link between obesity and changes in albumin excretion in diabetic subjects, suggesting potential benefits of interventions on body weight on end-organ renal damage.

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. [JMIR Mhealth Uhealth 2017;5(3):e35]

OBJECTIVE Widespread use of carbohydrate counting is limited by its complex education. In this study we compared a Diabetes Interactive Diary (DID) with standard carbohydrate counting in terms of metabolic and weight control, time required for education, quality of life, and treatment satisfaction. RESEARCH DESIGN AND METHODS Adults with type 1 diabetes were randomly assigned to DID (group A, n = 67) or standard education (group B, n = 63) and followed for 6 months. A subgroup also completed the SF-36 Health Survey (SF-36) and World Health Organization-Diabetes Treatment Satisfaction Questionnaire (WHO-DTSQ) at each visit. RESULTS Of 130 patients (aged 35.7 ± 9.4 years; diabetes duration 16.5 ± 10.5 years), 11 dropped out. Time for education was 6 h (range 2–15 h) in group A and 12 h (2.5–25 h) in group B (P = 0.07). A1C reduction was similar in both groups (group A from 8.2 ± 0.8 to 7.8 ± 0.8% and group B from 8.4 ± 0.7 to 7.9 ± 1.1%; P = 0.68). Nonsignificant differences in favor of group A were documented for fasting blood glucose and body weight. No severe hypoglycemic episode occurred. WHO-DTSQ scores increased significantly more in group A (from 26.7 ± 4.4 to 30.3 ± 4.5) than in group B (from 27.5 ± 4.8 to 28.6 ± 5.1) (P = 0.04). Role Physical, General Health, Vitality, and Role Emotional SF-36 scores improved significantly more in group A than in group B. CONCLUSIONS DID is at least as effective as traditional carbohydrate counting education, allowing dietary freedom for a larger proportion of type 1 diabetic patients. DID is safe, requires less time for education, and is associated with lower weight gain. DID significantly improved treatment satisfaction and several quality-of-life dimensions.

To evaluate correlates of high diabetes-related distress (HD) among individuals with type 2 diabetes mellitus (T2DM).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.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 score40 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.

Objective: We evaluated empowerment in T2DM and identified its correlates. Methods: A sample of individuals self-administered the Diabetes Empowerment Scale-Short Form (DESSF) 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.

A flexible therapy for type 1 diabetes based on carbohydrate counting and insulin dose adjustment can promote glycemic control and quality of life without worsening severe hypoglycemia or cardiovascular risk. The complexity of the standard education required by the flexible therapy can be managed with the ‘Diabetes Interactive Diary (DID)', a carbohydrate/bolus calculator for mobile phones. It also works as a telemedicine system based on communication between patient and physician via text messages (SMS). The efficacy and safety of the DID have been tested in 3 main studies. The DID was demonstrated to be effective in improving metabolic control as well as standard education while ensuring several additional benefits. First, it halved the time dedicated to education and simplified the calculation of carbohydrates content and insulin doses, allowing more individuals with type 1 diabetes to adopt the flexible regimen. Second, the use of the DID was also associated with an 86% decrease in risk of grade 2 hypoglycemia. Additionally, several quality of life scales were significantly improved, suggesting that the use of telemedicine can increase the acceptance of insulin treatment and help patients cope with the disease. Currently, the DID is available as a free app for smartphones.

Issue/problem A wide consensus exists about the role of patient involvement in the management of diabetes (DM) in order to achieve the desired therapeutic goals. However, major problems in dealing with psycho-social problems have been documented in usual care. In particular, diabetes-related distress (DRD) is common amongst people with DM and hampers efforts to self-manage their condition. The BENCH-D AMD study, part of the DAWN 2 initiatives in Italy, aims to evaluate whether a benchmarking activity based on …

OBJECTIVE—To investigate the relationship between beliefs of physicians relative to intensive metabolic control in type 2 diabetes and levels of HbA1c obtained in a sample of their patients. RESEARCH DESIGN AND METHODS—Physicians’ beliefs were investigated through a questionnaire sent to a sample of self-selected clinicians participating in a nationwide initiative aimed at assessing the relationship between the quality of care delivered to patients with type 2 diabetes and their outcomes. At the same time, physicians were asked to collect clinical data on a random sample of their patients, stratified by age ( RESULTS—Of 456 physicians, 342 (75%) returned the questionnaire. Among the responders, 200 diabetologists and 99 general practitioners (GPs) recruited 3,297 patients; 2,003 of whom were always followed by the same physician and 1,294 of whom were seen by different physicians in the same structure on different occasions. Only 14% of the respondents used target FBG levels ≤6.1 mmol/l, whereas 38% pursued values >7.8 mmol/l, with no statistically significant difference between diabetologists and GPs. The analysis of the relationship between FBG targets and metabolic control, restricted to those patients always seen by the same physician, showed a strong linear association, with mean HbA1c values of 7.0 ± 1.6 for patients in the charge of physicians pursuing FBG levels ≤6.1 mmol/l and 7.8 ± 1.8 for those followed by physicians who used target values >7.8 mmol/l. After adjusting for patients’ and physicians’ characteristics, the risk of having HbA1c values >7.0% was highly correlated with physicians’ beliefs. Patients followed by different physicians in the same unit showed a risk of inadequate metabolic control similar to that of patients followed by physicians adopting a nonaggressive policy. CONCLUSIONS—Doctors adopt extremely heterogeneous target FBG levels in patients with type 2 diabetes, which in turn represent an important independent predictor of metabolic control. To improve patient outcomes, physicians-centered educational activities aimed at increasing the awareness of the potential benefits of a tight metabolic control in patients with type 2 diabetes are urgently needed.

OBJECTIVE—To describe patterns of diabetes care and implement benchmarking activities at the national level. RESEARCH DESIGN AND METHODS—A total of 86 clinics participated, all using electronic medical records. Quality indicators were identified, and software was developed, enabling the extraction of the information needed for quality-of-care profiling. RESULTS—Overall, 114,249 patients with type 2 diabetes were seen during 2004. A1C was measured at least once in 88.0% of the patients, lipid profile in 64.6%, blood pressure in 77.2%, and microalbuminuria in 48.1%. Overall, 43.1% of individuals had A1C ≤7.0%, 36.6% had blood pressure ≤130/85 mmHg, and 29.8% had LDL cholesterol CONCLUSIONS—This study is the first step of a nationwide quality-improvement effort and documents the possibility of obtaining standardized information to be used for diabetes care profiling and benchmarking activities.

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 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.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.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.

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

Use of the vibration perception threshold (VPT) is a simple way of detecting large-fiber dysfunction, thus identifying individuals with diabetes at risk of ulceration.1-2 Nevertheless, poor standardization of measurement limits its use in clinical practice;3-5 furthermore, the unique normality threshold of 25 V is criticized due to the physiologic increase in VPT with age.6 The development of devices reducing the intra- and interoperator variability in the test execution could help research and clinical practice in the identification of new relevant reference thresholds. In this context the UltraBiotesiometer Meteda contains specific features that reduce the variability of the measurements, that is, the vibration activated only under controlled pressure, five indicator lights allowing the monitoring of the pressure, and the elasticity of vibration electrically controlled in both directions. We adopted this new technologically advanced biothesiometer to assess VPT trends in subjects without sensorimotor distal symmetric polyneuropathy and identify age-specific normality thresholds. A random sample of 150 consecutive individuals have been identified among those routinely referred to one endocrinology center in Argentina. Patients were considered eligible for the study if diabetes, neuropathy, and slipped disc were excluded. Recruitment was stratified according to three age classes: 60 years. VPT was measured using UltraBiotesiometer Meteda. Normal ranges for VPT were computed using the normal approximation. The upper limit of this range was reported along with its 95% confidence intervals. Subjects with values larger than the estimated upper limit should be considered as “nonnormal.” Subgroup analyses for each age class were performed. VPT values were log-transformed before analyses because their skewed distribution. A P value < .05 was considered significant. All analyses were performed using R software. Our results document that normality threshold in the overall population is lower (20 V) than that currently suggested by guidelines (25 V) and relevant differences in VPT upper limits exist according to age classes (Table 1). The normality thresholds identified cannot provide direct indications for changing clinical practice, but the clear trend and the marked differences among the upper limits in the three age classes cannot be ignored. Further longitudinal studies adopting technologically advanced devices are needed to assess the association between age-specific normality thresholds and incidence of lower limb complications. Table 1. Upper Limits of Normal Range Above Which the Subject Should Be Considered as “Nonnormal” Overall and According to Age Classes.

OBJECTIVE Widespread use of carbohydrate counting is limited by its complex education. In this study we compared a Diabetes Interactive Diary (DID) with standard carbohydrate counting in terms of metabolic and weight control, time required for education, quality of life, and treatment satisfaction. RESEARCH DESIGN AND METHODS Adults with type 1 diabetes were randomly assigned to DID (group A, n = 67) or standard education (group B, n = 63) and followed for 6 months. A subgroup also completed the SF-36 Health Survey (SF-36) and World Health Organization-Diabetes Treatment Satisfaction Questionnaire (WHO-DTSQ) at each visit. RESULTS Of 130 patients (aged 35.7 ± 9.4 years; diabetes duration 16.5 ± 10.5 years), 11 dropped out. Time for education was 6 h (range 2–15 h) in group A and 12 h (2.5–25 h) in group B (P = 0.07). A1C reduction was similar in both groups (group A from 8.2 ± 0.8 to 7.8 ± 0.8% and group B from 8.4 ± 0.7 to 7.9 ± 1.1%; P = 0.68). Nonsignificant differences in favor of group A were documented for fasting blood glucose and body weight. No severe hypoglycemic episode occurred. WHO-DTSQ scores increased significantly more in group A (from 26.7 ± 4.4 to 30.3 ± 4.5) than in group B (from 27.5 ± 4.8 to 28.6 ± 5.1) (P = 0.04). Role Physical, General Health, Vitality, and Role Emotional SF-36 scores improved significantly more in group A than in group B. CONCLUSIONS DID is at least as effective as traditional carbohydrate counting education, allowing dietary freedom for a larger proportion of type 1 diabetic patients. DID is safe, requires less time for education, and is associated with lower weight gain. DID significantly improved treatment satisfaction and several quality-of-life dimensions.

Widespread use of carbohydrate (CHO) counting is limited by its complex educational needs, but a telemedicine system could simplify the patients' training.The Diabetes Interactive Diary (DID) was set up on patients' mobile phones and allowed to record the blood glucose values and quantify the total CHO intake during a meal, by choosing the specific food and the amount ingested from a list of pictures. It also suggested the most appropriate insulin bolus in relation to the patient's CHO/insulin ratio. Data were sent to the physician by Short Message Service (also known as text message). Two pilot studies were carried out to investigate the feasibility and acceptability of the system and its effectiveness in improving metabolic control.In the first study, 50 patients were involved in a survey with questionnaires administered before and 12 weeks after the start of the DID. The system was considered by almost all the patients as easy to use and very helpful. CHO counting and insulin bolus calculation were ranked as the most useful functions. In the second study, 41 consecutive patients using DID under routine clinical practice conditions were evaluated after a median of 9 months of follow-up. DID was associated with a nonstatistically significant reduction in fasting blood glucose (FBG), postprandial glucose (PPG), and hemoglobin A1c levels. FBG and PPG coefficient of variation (CV) values were significantly reduced: FBG-CV decreased by 6.7% (95% confidence interval -11.9, -1.6; P = 0.02), while PPG-CV decreased by 11.5% (95% confidence interval -19.3, -3.7; P = 0.01). No patients reported serious hypoglycemic episodes requiring medical intervention.DID can represent a useful, safe, and easy-to-use tool to help the patient with type 1 diabetes promote dietary freedom. Adjustment of insulin doses according to CHO intake allowed the reduction of glucose variability, increasingly recognized as an important, independent risk factor for cardiovascular events.

We evaluated to what extent the presence of risk factors and their interactions increased the likelihood of microalbuminuria (MAU) among individuals with type 2 diabetes.Fifty-five Italian diabetes outpatient clinics enrolled a sample of patients with type 2 diabetes, without urinary infections and overt diabetic nephropathy. A morning spot urine sample was collected to centrally determine the urinary albumin/creatinine ratio (ACR). A tree-based regression technique (RECPAM) and multivariate analyses were performed to investigate interaction between correlates of MAU.Of the 1841 patients recruited, 228 (12.4%) were excluded due to the presence of urinary infections and 56 (3.5%) for the presence of macroalbuminuria. Overall, the prevalence of MAU (ACR = 30-299 mg/g) was of 19.1%. The RECPAM algorithm led to the identification of seven classes showing a marked difference in the likelihood of MAU. Non-smoker patients with HbA1c7% and waist circumference/=102 cm showed the lowest prevalence of MAU (7.5%), and represented the reference class. Patients with retinopathy, waist circumference98 cm and HbA1c8% showed the highest likelihood of MAU (odds ratio = 13.7; 95% confidence intervals 6.8-27.6). In the other classes identified, the risk of MAU ranged between 3 and 5. Age, systolic blood pressure, HDL cholesterol levels and diabetes treatment represented additional, global correlates of MAU.The likelihood of MAU is strongly related to the interaction between diabetes severity, smoking habits and several components of the metabolic syndrome. In particular, abdominal obesity, elevated blood pressure levels and low HDL cholesterol levels substantially increase the risk of MAU. It is of primary importance to monitor MAU in high-risk individuals and aggressively intervene on modifiable risk factors.

Bone mineral metabolism was studied in 20 male patients, between 8 and 18 years, after surgical treatment for peptic ulcer (ten Billroth 1 and ten Billroth 2 gastrectomies) and in 16 sex- and aged-matched healthy controls. The bone mineral content was statistically reduced only in the Billroth 2 group. Serum 25(OH)D was lower in all patients, but fractional calcium absorption was similar to the control value. This may be due to increases in 1,25(OH)2D and parathyroid activity (particularly in Billroth 2). Serum osteocalcin levels and hydroxyproline excretion were higher than in the controls. A positive linear correlation emerged not only between serum 1,25(OH)2D and PTH levels but also between each of these and serum osteocalcin and urine hydroxyproline. Both PTH and calcitriol were inversely correlated with the bone mineral mass in Billroth 2, confirming a trend observed in Billroth 1. Although calcitonin values were normal, basal gastrin levels were severely impaired in all patients. In response to a mixed meal, increases in gastrin and calcitonin were significantly lower than in the controls. The calcitonin response to intravenous calcium and pentagastrin infusion was not significantly different to the controls. The percentage increase in gastrin and calcitonin responses to oral calcium correlated positively with the reduction in bone mineral content only in the Billroth 2 group, suggesting a reduction in calcitonin release may contribute to gastric surgery osteopenia in these patients.

Objective:A novel system for nutrient analysis has been developed and tested over 5 years. Its key features are a nutrient database of 600 commonly eaten foods (95% of foods eaten in 7-day surveys); a booklet identifying each food with a bar code, bar codes for gram weight and for portion sizes (small, medium, large) and a bar-code reader with dietary analysis software for PCs. In the present study the bar-code system has been evaluated by comparison with a commonly used manual entry nutrient analysis software for dietitians' use.Design:Cross-sectional.Setting:Glasgow city district.Subjects:One hundred and sixty adults aged 18–65 years old.Results:Comparing mean intakes for macro- and micronutrients, using the Bland and Altman method1, the bias between the two methods was small, ranging from 0.93 to 1.03. The bar-code system took significantly less professional time in data entry and nutrient analysis than the widely used manual system (29 min per 7-day diary vs. 47 min per 7-day diary, P < 0.001).Conclusions:It is suggested that the bar-code system offers greater speed with a saving of professional time needed for nutrient analysis of dietary surveys. This system is commended for maintaining accuracy while promoting economy.

Objective To evaluate a new computerized method for recording 7-day food intake. Research Design and Methods Randomized crossover trial was conducted with patients recording the amount and type of every food and drink consumed during a week by either a computerized device (Food-meter) or recording the data in a diary. Each method was applied twice. Twenty-one insulin-dependent diabetic patients (mean ± SD age 25 ± 9 yr) were studied. Results The two methods showed very good agreement in the evaluation of the patients' diets (1792 ± 408 vs. 1764 ± 436 kcal∕day, 84 ± 19 vs. 82 ± 21 g∕day protein, 68 ± 22 vs. 67 ± 23 g∕day fat, 210 ± 60 vs. 207 ± 58 g∕day carbohydrate with the conventional and computerized methods, respectively). The variability between the methods and the variability within each method were of similar magnitude. Conclusions The Food-meter represents a useful tool for computerizing the 7-day food record. The method is easy, reliable, and time saving. Moreover, it minimizes the risk of transcriptional errors.

A study for evaluating the use of the Cardionomic system was conducted in six Italian Centres for Diabetes. Cardionomic is a portable computerised system that is used for a guided step-by-step performance of several cardiovascular tests for autonomic neuropathy (heart rate and blood pressure). It has been compared to the traditional method using an electrocardiograph. In this study, which involved 74 diabetic patients, 392 cardiovascular tests were conducted with the electrocardiograph and 392 were done using the portable system. The results were compared to the results obtained with the ECG assuming the latter as the standard ones. All the indices of validity that were investigated (sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio) indicate that the proposed system is reliable. Because it saves a considerable amount of time and is also easy to use, it represents a valid alternative for the routine screening of autonomic neuropathy.

Adoption of a flexible diet and insulin therapy for people with type 1 diabetes reduces the daily burden of the disease. In particular, carbohydrate counting and insulin dose adjustment at each meal promote dietary freedom, quality of life and glycaemic control, without worsening severe hypoglycaemia or cardiovascular risk. To overcome the complex education required to adopt this method, the Diabetes Interactive Diary (DID) represents an automatic carbohydrate/insulin bolus calculator in a mobile phone. It also works as a telemedicine system based on communication between patient and physician via text messages. To avoid methodological flaws found in previous studies on similar devices, DID is undergoing a process of evaluation similar to that usually adopted for pharmacological products: first, its feasibility, acceptability and safety were documented in a phase I study; second, its effectiveness on metabolic control, weight loss and quality of life were preliminarily highlighted in a phase II randomised study; and third, a confirmatory phase III randomised trial is currently under way to investigate the DID’s impact on glycaemic variability. If the DID’s effectiveness is confirmed, it will increase the proportion of patients who may benefit from flexible diabetes management.

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 patientcentred 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 wellbeing 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.