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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. [ABSTRACT FROM AUTHOR]

Objective: An association between variability in clinical parameters (HbA 1c , blood pressure, cholesterol, and uric acid) and risk of complications in type 2 diabetes has been reported. In this analysis, we investigated to what extent such variability is associated with overall quality of care., Research Design and Methods: The quality of care summary score (Q-score) represents a validated, overall quality of care indicator ranging between 0 and 40; the higher the score, the better the quality of care provided by the diabetes center. We identified patients with five or more measurements of clinical parameters after the assessment of the Q-score. Multiple linear regression analyses assessed the role of the Q-score in predicting the variability of the different parameters., Results: Overall, 273,888 patients were analyzed. The variability of all the parameters systematically increased with decreasing Q-score values. At multivariate linear regression analysis, compared with a Q-score >25, a score <15 was associated with a significantly larger variation in HbA 1c , blood pressure, uric acid, total cholesterol, and LDL cholesterol and a lower variation in HDL cholesterol. The analysis of standardized β coefficients show that the Q-score has a larger impact on the variability of HbA 1c (0.34; P < 0.0001), systolic blood pressure (0.21; P < 0.0001), total cholesterol (0.21; P < 0.0001), and LDL cholesterol (0.20; P < 0.0001)., Conclusions: The variability of risk factors for diabetic complications is associated with quality of care. Quality of care improvement initiatives should be targeted to increase the achievement of the recommended target while reducing such variability., (© 2019 by the American Diabetes Association.)

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 <15, 41.0 in those with a score between 20 and 25 and 36.7 in those 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 <15 (incidence rate ratio [IRR] = 1.84; 95% confidence interval [CI] 1.29-2.62) and 17% higher in those with a score between 15 and 25 (IRR = 1.17; 95% CI 0.93-1.49) compared with those 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.

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

Objective: In the context of the QuED (Quality of Care and Outcomes in Type 2 Diabetes) project, we evaluated the longitudinal changes over 3 years in quality of life (QoL) in patients with type 2 diabetes according to the presence or the development of erectile dysfunction (ED)., Research Design and Methods: Patients were requested to fill in a questionnaire investigating the presence of ED and QoL (SF-36 Health Survey, depression symptoms [Center for Epidemiologic Studies-Depression], and quality of sexual life) every 6 months for 3 years. The analyses were based on multilevel models, adjusted for patient clinical and sociodemographic characteristics., Results: The study involved 1,456 patients, of whom 34% reported frequent erectile problems at baseline; 192 developed ED during the follow-up. No changes in QoL measures were detected in patients without ED; in those with ED at baseline, a worsening in all SF-36 scales was observed, reaching statistical significance for physical functioning (P = 0.03). Among patients who developed ED during the study, a deterioration in all SF-36 dimensions and a worsening in depressive symptoms preceded the development of ED. The onset of ED was associated with a further marked worsening in physical functioning (P = 0.0008), general health perception (P = 0.02), and social functioning (P = 0.04) on SF-36 subscales, as well as in the summary physical and mental components scores (P = 0.04 and P = 0.07, respectively). The development of ED was also associated with a highly significant increase in depressive symptoms (P = 0.001) and a marked decrease in quality of sexual life (P < 0.0001)., Conclusions: This longitudinal study documents for the first time the impact of ED onset on several aspects of QoL in patients with type 2 diabetes. The study also shows that QoL tended to further decrease during 3 years in patients with ED at baseline but not in those without this condition.

Objective: To evaluate an opportunistic screening strategy addressed to individuals with one or more cardiovascular risk factor, based on the Diabetes Risk Score (DRS) as the initial instrument, for the identification of individuals with type 2 diabetes or impaired glucose tolerance (IGT)., Research Design and Methods: The DRS, a simple self-administered questionnaire, was completed by individuals identified by general practitioners and presenting with one or more cardiovascular risk factor. All patients underwent a 2-h oral glucose tolerance test (OGTT). The optimal DRS cutoff was calculated by applying the receiver-operating characteristic curve., Results: Overall, 1,377 individuals aged between 55 and 75 years received an OGTT and completed the DRS. Mean DRS values showed a marked variation according to glucose metabolism categories, as follows: 8.7 +/- 3.0 in normoglycemic individuals, 9.5 +/- 3.1 in individuals with impaired fasting glucose, 9.9 +/- 3.3 in individuals with IGT, and 12.0 +/- 3.5 in individuals with type 2 diabetes. The receiver-operating characteristic curve showed that, with a cutoff of 9, the sensitivity of DRS in detecting individuals with glucose abnormalities (type 2 diabetes or IGT) was 77% and the specificity 45%. The use of the DRS as an initial screening instrument, followed by the measurement of fasting blood glucose in individuals with a score > or =9 and by the OGTT in individuals with a fasting blood glucose between 5.6 and 6.9 mmol/l, would lead to the identification of 83% of the case subjects with type 2 diabetes and 57% of the case subjects with IGT, at a cost of an OGTT in 38% of the sample and a fasting blood glucose in 64%., Conclusions: The DRS can represent a valid inexpensive instrument for opportunistic screening and a useful alternative to indiscriminate fasting blood glucose measurement, not readily available in general practice.

Objective: The role of general practice and diabetes clinics in the management of diabetes is still a matter of debate. Methodological flaws in previous studies may have led to inaccurate conclusions when comparing the care provided in these different settings. We compared the care provided to type 2 diabetic patients attending diabetes outpatient clinics (DOCs) or being treated by a general practitioner (GP) using appropriate statistical methods to adjust for patient case mix and physician-level clustering., Research Design and Methods: We prospectively evaluated the process and intermediate outcome measures over 2 years in a sample of 3,437 patients recruited by 212 physicians with different specialties practicing in 125 DOCs and 103 general practice offices. Process measures included frequency of HbA(1c), lipids, microalbuminuria, and serum creatinine measurements and frequency of foot and eye examinations. Outcome measures included HbA(1c), blood pressure, and total and LDL cholesterol levels., Results: Differences for most process measures were statistically significantly in favor of DOCs. The differences were more marked for patients who were always treated by the same physician within a DOC and if that physician had a specialty in diabetology. Less consistent differences in process measures were detected when patients followed by GPs were compared with those followed by physicians with a specialty other than diabetology. As for the outcomes considered, patients attending DOCs attained better total cholesterol levels, whereas no major differences emerged in terms of metabolic control and blood pressure levels between DOCs and GPs. Physicians' specialties were not independently related to patient outcomes., Conclusions: Being followed always by the same physician in a DOC, particularly if the physician had a specialty in diabetes, ensured better quality of care in terms of process measures. In the short term, care provided by DOCs was also associated with better intermediate outcome measures, such as total cholesterol levels.