Quality of diabetes care predicts the development of cardiovascular events: results of the QuED study

Quality of care and clinical inertia in the management of cardiovascular risk factors in patients with type 1 and type 2 diabetes: data from AMD annals

BACKGROUND

Cardiovascular disease is the leading cause of morbidity and mortality among patients with diabetes, and for this reason, all guidelines for CV risk management provide the same targets in controlling traditional CV risk factors in patients with type 1 or type 2 diabetes at equal CV risk class. Aim of our study was to evaluate and compare CV risk management in patients with type 1 and type 2 diabetes included in AMD Annals Database paying particular attention to indicators of clinical inertia.

METHODS

This was a multicenter, observational, retrospective study of AMD Annals Database during year 2022. Patients with diabetes were stratified on the basis of their cardiovascular risk, according to ESC-EASD guidelines. The proportion of patients not treated with lipid-lowering despite LDL cholesterol > to 100 mg/dl or the proportion of patients not treated with antihypertensive drug despite BP > 140/90 mmhg and proportion of patients with proteinuria not treated with angiotensin converting enzyme inhibitors or angiotensinogen receptor blockers (ACE/ARBs) were considered indicators of clinical inertia. The proportion of patients reaching at the same time HbA1c < 7% LDL < 70 mg/dl and BP < 130/80 mmhg were considered to have good multifactorial control. Overall quality of health care was evaluated by the Q-score.

RESULTS

Using the inclusion criteria and stratifying patients by ESC/EASD Cardiovascular Risk categories, we included in the analysis 118.442 patients at High Cardiovascular risk and 416.246 patients at Very High Cardiovascular risk. The proportion of patients with good multifactorial risk factor control was extremely low in both T1D and T2D patients in each risk class. At equal risk class, the patients with T1D had lower proportion of subjects reaching HbA1c, LDL, or Blood Pressure targets. Indicators of clinical inertia were significantly higher compared with patients with T2D at equal risk class. Data regarding patients with albuminuria not treated with RAAS inhibitors were available only for those at Very High risk and showed that the proportion of patients not treated was again significantly higher in patients with T1DM.

CONCLUSIONS

In conclusion, this study provides evidence of wide undertreatment of traditional cardiovascular risk factors among patients with diabetes included in AMD Annals Database. Undertreatment seems to be more pronounced in individuals with T1D compared to those with T2D and is frequently due to clinical inertia.

The quality of care in type 1 and type 2 diabetes - A 2023 update of the AMD Annals initiative

AIMS

An initiative of continuous monitoring of the quality of diabetes care, promoted by the Association of Medical Diabetologists, is in place in Italy since 2006 (AMD Annals). The initiative was effective in improving quality of care indicators, assessed periodically through standardized measures. Here, we show the 2023 AMD Annals data on type 2 (T2D) and type 1 (T1D) diabetes.

METHODS

A network of over 1/3 of diabetes centers in Italy periodically extracts anonymous data from electronic medical records, using a standardized software. Process, treatment and outcome indicators, and a validated score of overall care, the Q-score, were evaluated.

RESULTS

296 centers provided data on 573,164 T2D (mean age 69.7 ± 11.2 years) and 42,611 T1D subjects (mean age 48.6 ± 16.9 years). A HbA1c value ≤ 7.0 % was documented in 56.3 % of patients with T2D and 35.9 % of those with T1D. Only 6.6 % of T2D patients and 3.5 % of those with T1D reached the composite outcome of HbA1c ≤ 7.0 % + LDL-C < 70 mg/dl + BP < 130/80 mmHg. Notably, only 2.8 % and 3.2 % of T2D and T1D patients, respectively, showed a Q score < 15, which correlates with an 80 % higher risk of incident CVD events compared to scores > 25.

CONCLUSIONS

We documented an overall good quality of care in both T1D and T2D subjects. However, the failure to achieve the targets of the main risk factors, especially if combined, in a still too large proportion of patients testify the difficulty to apply the more and more stringent indications recommended by guidelines in the everyday clinical practice.

Service quality: perspective of people with type 2 diabetes mellitus and hypertension in rural and urban public primary healthcare centers in Iran

OBJECTIVE

This study aimed to assess the service quality (SQ) for Type 2 diabetes mellitus (T2DM) and hypertension in primary healthcare settings from the perspective of service users in Iran.

METHODS

The Cross-sectional study was conducted from January to March 2020 in urban and rural public health centers in the East Azerbaijan province of Iran. A total of 561 individuals aged 18 or above with either or both conditions of T2DM and hypertension were eligible to participate in the study. The study employed a two-step stratified sampling method in East Azerbaijan province, Iran. A validated questionnaire assessed SQ. Data were analyzed using One-way ANOVA and multiple linear regression statistical models in STATA-17.

RESULTS

Among the 561 individuals who participated in the study 176 (31.3%) were individuals with hypertension, 165 (29.4%) with T2DM, and 220 (39.2%) with both hypertension and T2DM mutually. The participants' anthropometric indicators and biochemical characteristics showed that the mean Fasting Blood Glucose (FBG) in individuals with T2DM was 174.4 (Standard deviation (SD) = 73.57) in patients with T2DM without hypertension and 159.4 (SD = 65.46) in patients with both T2DM and hypertension. The total SQ scores were 82.37 (SD = 12.19), 82.48 (SD = 12.45), and 81.69 (SD = 11.75) for hypertension, T2DM, and both conditions, respectively. Among people with hypertension and without diabetes, those who had specific service providers had higher SQ scores (b = 7.03; p = 0.001) compared to their peers who did not have specific service providers. Those who resided in rural areas had lower SQ scores (b = -6.07; p = 0.020) compared to their counterparts in urban areas. In the group of patients with T2DM and without hypertension, those who were living in non-metropolitan cities reported greater SQ scores compared to patients in metropolitan areas (b = 5.09; p = 0.038). Additionally, a one-point increase in self-management total score was related with a 0.13-point decrease in SQ score (P = 0.018). In the group of people with both hypertension and T2DM, those who had specific service providers had higher SQ scores (b = 8.32; p < 0.001) compared to the group without specific service providers.

CONCLUSION

Study reveals gaps in T2DM and hypertension care quality despite routine check-ups. Higher SQ correlates with better self-care. Improving service quality in primary healthcare settings necessitates a comprehensive approach that prioritizes patient empowerment, continuity of care, and equitable access to services, particularly for vulnerable populations in rural areas.

The Burden of Obesity in Type 1 Diabetic Subjects: A Sex-specific Analysis From the AMD Annals Initiative

OBJECTIVE

Obesity is a growing emergency in type 1 diabetes (T1D). Sex differences in obesity prevalence and its clinical consequences in adult T1D subjects have been poorly investigated. The aim of this study was to investigate the prevalence of obesity and severe obesity, clinical correlates, and potential sex differences in a large cohort of T1D subjects participating to the AMD (Associazione Medici Diabetologi) Annals Initiative in Italy.

RESEARCH DESIGN AND METHODS

The prevalence of obesity [body mass index(BMI) ≥30 kg/m2] and severe obesity (BMI ≥ 35 kg/m2) according to sex and age, as well as obesity-associated clinical variables, long-term diabetes complications, pharmacological treatment, process indicators and outcomes, and overall quality of care (Q-score) were evaluated in 37 436 T1D subjects (45.3% women) attending 282 Italian diabetes clinics during 2019.

RESULTS

Overall, the prevalence of obesity was similar in the 2 sexes (13.0% in men and 13.9% in women; mean age 50 years), and it increased with age, affecting 1 out of 6 subjects ages >65 years. Only severe obesity (BMI >35 kg/m2) was more prevalent among women, who showed a 45% higher risk of severe obesity, compared with men at multivariate analysis. Cardiovascular disease risk factors (lipid profile, glucose, and blood pressure control), and the overall quality of diabetes care were worse in obese subjects, with no major sex-related differences. Also, micro- and macrovascular complications were more frequent among obese than nonobese T1D men and women.

CONCLUSIONS

Obesity is a frequent finding in T1D adult subjects, and it is associated with a higher burden of cardiovascular disease risk factors, micro- and macrovascular complications, and a lower quality of care, with no major sex differences. T1D women are at higher risk of severe obesity.

Long-term quality-of-care score for predicting the occurrence of acute myocardial infarction in patients with type 2 diabetes mellitus

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death globally, and diabetes mellitus (DM) is a well-established risk factor. Among the risk factors for CVD, DM is a major modifiable factor. In the fatal CVD outcomes, acute myocardial infarction (AMI) is the most common cause of death.

AIM

To develop a long-term quality-of-care score for predicting the occurrence of AMI among patients with type 2 DM on the basis of the hypothesis that good quality of care can reduce the risk of AMI in patients with DM.

METHODS

Using Taiwan's Longitudinal Cohort of Diabetes Patient Database and the medical charts of a medical center, we identified incident patients diagnosed with type 2 DM from 1999 to 2003 and followed them until 2011. We constructed a summary quality-of-care score (with values ranging from 0 to 8) with process indicators (frequencies of HbA1c and lipid profile testing and urine, foot and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure and HbA1c), and co-morbidity of hypertension. The associations between the score and the incidence of AMI were evaluated using Cox regression models.

RESULTS

A total of 7351 patients who had sufficient information to calculate the score were enrolled. In comparison with participants who had scores ≤ 1, those with scores between 2 and 4 had a lower risk of developing AMI [adjusted hazard ratio (AHR) = 0.71; 95% confidence interval (95%CI): 0.55-0.90], and those with scores ≥ 5 had an even lower risk (AHR = 0.37; 95%CI: 0.21-0.66).

CONCLUSION

Good quality of care can reduce the risk of AMI in patients with type 2 DM. The quality-of-care score developed in this study had a significant association with the risk of AMI and thus can be applied to guiding the care for these patients.

Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group

Identifying and treating lipid abnormalities is crucial for preventing cardiovascular disease in diabetic patients, yet only two-thirds of patients reach recommended cholesterol levels. Elucidating the factors associated with lipid goal attainment represents an unmet clinical need. To address this knowledge gap, we conducted a real-world analysis of the lipid profiles of 11.252 patients from the Annals of the Italian Association of Medical Diabetologists (AMD) database from 2005 to 2019. We used a Logic Learning Machine (LLM) to extract and classify the most relevant variables predicting the achievement of a low-density lipoprotein cholesterol (LDL-C) value lower than 100 mg/dL (2.60 mmol/L) within two years of the start of lipid-lowering therapy. Our analysis showed that 61.4% of the patients achieved the treatment goal. The LLM model demonstrated good predictive performance, with a precision of 0.78, accuracy of 0.69, recall of 0.70, F1 Score of 0.74, and ROC-AUC of 0.79. The most significant predictors of achieving the treatment goal were LDL-C values at the start of lipid-lowering therapy and their reduction after six months. Other predictors of a greater likelihood of reaching the target included high-density lipoprotein cholesterol, albuminuria, and body mass index at baseline, as well as younger age, male sex, more follow-up visits, no therapy discontinuation, higher Q-score, lower blood glucose and HbA1c levels, and the use of anti-hypertensive medication. At baseline, for each LDL-C range analysed, the LLM model also provided the minimum reduction that needs to be achieved by the next six-month visit to increase the likelihood of reaching the therapeutic goal within two years. These findings could serve as a useful tool to inform therapeutic decisions and to encourage further in-depth analysis and testing.

The AMD ANNALS: A continuous initiative for the improvement of type 2 diabetes care

AIMS

Since 2006, the Italian AMD (Associations of Medical Diabetologists) Annals Initiative promoted a continuous monitoring of the quality of diabetes care, that was effective in improving process, treatment and outcome indicators through a periodic assessment of standardized measures. Here, we show the 2022 AMD Annals data on type 2 diabetes (T2D).

METHODS

A network involving ∼1/3 of diabetes centers in Italy periodically extracts anonymous data from electronic clinical records, by a standardized software. Process, treatment and outcome indicators, and a validated score of overall care, the Q-score, were evaluated.

RESULTS

295 centers provided the annual sample of 502,747 T2D patients. Overall, HbA1c value ≤7.0% was documented in 54.6% of patients, blood pressure <130/80 mmHg in 23.0%, and LDL-cholesterol levels <70 mg/dl in 34.3%, but only 5.2% were at- target for all the risk factors. As for innovative drugs, 29.0% of patients were on SGLT2-i, and 27.5% on GLP1-RAs. In particular, 59.7% were treated with either GLP1-RAs or SGLT2-i among those with established cardiovascular disease (CVD), 26.6% and 49.3% with SGLT2-i among those with impaired renal function and heart failure, respectively. Notably, only 3.2% of T2D patients showed a Q score <15, which correlates with a 80% higher risk of incident CVD events compared to scores >25.

CONCLUSIONS

The 2022 AMD Annals data show an improvement in the use of innovative drugs and in the overall quality of T2D care in everyday clinical practice. However, additional efforts are needed to reach the recommended targets for HbA1c and major CVD risk factors.

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.

Clinical profiles and quality of care of adults with type 1 diabetes according to their cardiovascular Risk: A Multicenter, Observational, retrospective study

AIMS

The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 1 diabetes (T1D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care.

METHODS

The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD (Associazione Medici Diabetologi) Annals initiative. Patients with T1D were stratified by cardiovascular risk. Measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment, and overall quality of care were evaluated.

RESULTS

Overall, 29.368 subjects with type 1 diabetes (64.7% at very high cardiovascular risk, 28.5% at high risk and 6.8% at moderate risk) were evaluated. A lack of use of drugs in case of high values and an inadequate control despite the antihypertensive and lipid-lowering treatment was recognized. The overall quality of care tended to be lower as the level of cardiovascular risk increased.

CONCLUSION

A large proportion of subjects with T1D is at high or very high risk. Antihypertensive and lipid-lowering treatment seem not adequately used. Several actions are necessary to improve the quality of care.

Clinical profiles and quality of care of subjects with type 2 diabetes according to their cardiovascular risk: an observational, retrospective study

Background

The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 2 diabetes (T2D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care, with particular regard to cardiovascular risk factors.

Methods

The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD Annals initiative. Patients with T2D were stratified by cardiovascular risk. General descriptive indicators, measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment for diabetes and cardiovascular risk factors, presence of other complications and overall quality of care were evaluated.

Results

Overall, 473,740 subjects with type 2 diabetes (78.5% at very high cardiovascular risk, 20.9% at high risk and 0.6% at moderate risk) were evaluated. Among people with T2D at very high risk: 26.4% had retinopathy, 39.5% had albuminuria, 18.7% had a previous major cardiovascular event, 39.0% had organ damage, 89.1% had three or more risk factors. The use of DPP4-i markedly increased as cardiovascular risk increased. The prescription of secretagogues also increased and that of GLP1-RAs tended to increase. The use of SGLT2-i was still limited, and only slightly higher in subjects with very high cardiovascular risk. The overall quality of care, as summarized by the Q score, tended to be lower as the level of cardiovascular risk increased.

Conclusions

A large proportion of subjects with T2D is at high or very high risk. Glucose-lowering drug therapies seem not to be adequately used with respect to their potential advantages in terms of cardiovascular risk reduction. Several actions are necessary to improve the quality of care.

Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis

INTRODUCTION

The aim of this study was to investigate the factors (clinical, organizational or doctor-related) involved in a timely and effective achievement of metabolic control, with no weight gain, in type 2 diabetes.

RESEARCH DESIGN AND METHODS

Overall, 5.5 million of Hab1c and corresponding weight were studied in the Associazione Medici Diabetologi Annals database (2005-2017 data from 1.5 million patients of the Italian diabetes clinics network). Logic learning machine, a specific type of machine learning technique, was used to extract and rank the most relevant variables and to create the best model underlying the achievement of HbA1c<7 and no weight gain.

RESULTS

The combined goal was achieved in 37.5% of measurements. High HbA1c and fasting glucose values and slow drop of HbA1c have the greatest relevance and emerge as first, main, obstacles the doctor has to overcome. However, as a second line of negative factors, markers of insulin resistance, microvascular complications, years of observation and proxy of duration of disease appear to be important determinants. Quality of assistance provided by the clinic plays a positive role. Almost all the available oral agents are effective whereas insulin use shows positive impact on glucometabolism but negative on weight containment. We also tried to analyze the contribution of each component of the combined endpoint; we found that weight gain was less frequently the reason for not reaching the endpoint and that HbA1c and weight have different determinants. Of note, use of glucagon-like peptide-1 receptor agonists (GLP1-RA) and glifozins improves weight control.

CONCLUSIONS

Treating diabetes as early as possible with the best quality of care, before beta-cell deterioration and microvascular complications occurrence, make it easier to compensate patients. This message is a warning against clinical inertia. All medications play a role in goal achievements but use of GLP1-RAs and glifozins contributes to overweight prevention.

Overall Quality of Care Predicts the Variability of Key Risk Factors for Complications in Type 2 Diabetes: An Observational, Longitudinal Retrospective Study

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.

Long-term quality-of-care score predicts incident chronic kidney disease in patients with type 2 diabetes

Background

Chronic kidney disease (CKD) is a common complication of diabetes, and requires long-term medical care. However, besides the blood glucose level, no reliable method is currently available to link the quality of care and the development of CKD. We therefore developed a long-term quality-of-care score for predicting the occurrence of CKD in patients with type 2 diabetes.

Methods

In this retrospective cohort study, using Taiwan's Longitudinal Cohort of Diabetes Patients Database and the medical records in a medical center, we identified incident patients with type 2 diabetes during 1999-2003 and followed them until 2011. A quality-of-care score (from 0 to 8) was calculated according to process indicators (frequencies of HbA1c and lipid profile testing and urine, foot, and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure, and HbA1c) and comorbidity of hypertension. We used Cox regression models to evaluate the association between the score and the incidence of CKD.

Results

Of the 4754 patients enrolled, 1407 developed CKD after a mean follow-up of 9.06 years. Compared with the risk of developing a CKD event in patients with scores ≤2, the risk was 69% lower in those with quality-of-care scores ≥5 (hazard ratio [HR] 0.31; 95% confidence interval [CI] 0.25-0.40) and 33% lower in those with scores between 3 and 4 (HR 0.67; 95% CI 0.59-0.77).

Conclusions

Good quality of care can reduce the risk of CKD in patients with type 2 diabetes. The score developed in this study had a significant association with the risk of CKD and thus can be applied to guide the care for these patients.

A long-term quality-of-care score for predicting the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus

AIMS

The aim of this study was to develop a long-term quality-of-care score to predict the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus, on the basis of the hypothesis that good quality of care can reduce the risk of macrovascular complications.

METHODS

Using Taiwan's Longitudinal Cohort of Diabetes Patients Database and the medical records in a medical center, we identified the incident patients diagnosed with type 2 diabetes during 1999-2003 and followed them until 2011. A summary score (from 0 to 8) was calculated according to process indicators (frequencies of HbA1_c and lipid profile testing and urine, foot and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure and HbA1_c), and the co-morbidity of hypertension. We used Cox regression models to evaluate the association between the score and the incidence of macrovascular complications.

RESULTS

Of the 4275 patients enrolled, 1928 developed macrovascular complication events after a mean follow-up period of 8.2 years. Compared to the risk of developing a macrovascular disease event in patients with scores ≤1, the risk was 64% lower in those with quality-of-care scores ≥5 (adjusted hazard ratio = 0.36; 95% confidence interval: 0.28-0.45).

CONCLUSIONS

Good quality of care can reduce the risk of macrovascular diseases in patients with type 2 diabetes. The score developed in this study had a significant association with the risk of macrovascular complications and thus can be applied to guiding the care for these patients.

State-of-the-Art Review on Diabetes Care in Italy

BACKGROUND

Diabetes is a significant health problem in Italy as in other western countries.

OBJECTIVE

To review available epidemiological data and the legislative framework for diabetes care in Italy.

METHODS

Review of Italian Health Ministry's official documents and analysis of epidemiological data published by Italian Scientific Societies.

FINDINGS

Diabetes affects more than 5% of the Italian population. The expenditures for the care of people with diabetes are about €10 billion ($US 11 billion) a year and are increasing over time. Italian law regulates the clinical care of people with diabetes and creates a clinical framework involving medical organizations, prevention programs, personnel training, and legal protection. The National Health Program is structured in essential levels of assistance that can be defined differently in the various regions. In 2013, the "National Diabetes Plan," defining priority areas for intervention, was approved and represents the main regulatory tool for the management of diabetes within the Italian National Health Service. In Italy, the status of diabetes care is being monitored using the data from 2 permanent observatories: the ARNO Observatory Diabetes and the Associazione Medici Diabetologi Annals.

CONCLUSIONS

A comprehensive approach to diabetes is offered to all citizens, consonant with the constitutionally guaranteed right to health. However, this important effort translates into a relevant financial burden for the National Health Service.

Data collection of patients with diabetes in family medicine: a study in north-eastern Italy

Background

Studies on data collection and quality of care in Italian family medicine are lacking. The aim of this study was to assess the completeness of data collection of patients with diabetes in a large sample of family physicians in the province of Verona, Veneto region, a benchmark for the Italian National Health System.

Methods

We extracted the data on all the patients with diabetes from the electronic health records of 270 family physicians in 2006 and 2009. We reported the percentage of patients with data recorded for 12 indicators of performance derived from the National Institute for Clinical Excellence diabetes guidelines. Secondarily, we assessed quality of care using the Q-score (the lower the score, the greater the risk of cardiovascular events).

Results

Patients with diabetes were 18,507 in 2006 and 20,744 in 2009, and the percentage of patients registered as having diabetes was 4.9% and 5.4% of the total population, respectively (p < 0.001). Data collection improved for all the indicators between 2006 and 2009 but the performance was still low at the end of the study period: patients with no data recorded were 42% in 2006 and 32% in 2009, while patients with data recorded for ≥5 indicators were 9% in 2006 and 17% in 2009. The Q-score improved (mean ± SD, 20.7 ± 3.0 in 2006 vs 21.3 ± 3.6 in 2009, p < 0.001) but most patients were at increased risk of cardiovascular events in both years (Q-score ≤ 20).

Conclusions

We documented an improvement in data collection and quality of care for patients with diabetes during the study period. Nonetheless, data collection was still unsatisfactory in comparison with international benchmarks in 2009. Structural interventions in the organization of family medicine, which have not been implemented since the study period, should be prioritised in Italy.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-017-2508-5) contains supplementary material, which is available to authorized users.

Occurrence over time and regression of nonalcoholic fatty liver disease in type 2 diabetes

BACKGROUND

This analysis was aimed to assess the incidence, regression, and correlated factors of nonalcoholic fatty liver disease (NAFLD) in type 2 diabetes, which are poorly known.

METHODS

Nonalcoholic fatty liver disease (defined as fatty liver index [FLI] score ≥ 60) in patients with type 2 diabetes, and related factors was investigated in a nationwide database containing information from the Italian network of diabetes clinics. A 10% variation of FLI was the cut-off considered in the analyses of a cohort of 5030 patients, which was separately conducted for those who developed, maintained, or recovered from FLI-assessed NAFLD (FLI-NAFLD) over a 3-year period.

RESULTS

At baseline, FLI-NAFLD was diagnosed in 61.3% of patients. Within the 3-year study period, FLI-NAFLD occurred in 313 patients and remitted in 410. The FLI score remained unchanged in 4307. Body-mass index (odds ratio, 1.45 95%; confidence interval, 1.35-1.55), abdominal obesity (2.11; 1.64-2.72), low HDL cholesterol levels (1.38; 1.02-1.87), and triglycerides (1.20; 1.12-1.28) all emerged as notable negative prognostic factors for the development or maintenance of FLI-NAFLD. The regression rate of FLI-NAFLD was higher among patients who managed to partially control these factors. Male sex and established organ damage, especially kidney function (1.64; 1.12-2.42), were independent risk predictors. Unlike other diabetes complications, FLI-NAFLD was more frequent among younger patients or those with a shorter duration of diabetes.

CONCLUSIONS

FLI-assessed NAFLD is a dynamic condition, with about 5% of diabetic patients entering or leaving the status every year. Younger male patients with insulin resistance or organ damage have a higher risk of presenting with FLI-NAFLD at baseline, developing FLI-NAFLD within 3 years, and a lower probability of regression.

Gender-Disparities in Adults with Type 1 Diabetes: More Than a Quality of Care Issue. A Cross-Sectional Observational Study from the AMD Annals Initiative

We evaluated gender-differences in quality of type 1 diabetes (T1DM) care. Starting from electronic medical records of 300 centers, 5 process indicators, 3 favorable and 6 unfavorable intermediate outcomes, 6 treatment intensity/appropriateness measures and an overall quality score were measured. The likelihood of women vs. men (reference class) to be monitored, to reach outcomes, or to be treated has been investigated through multilevel logistic regression analyses; results are expressed as Odd Ratios (ORs) and 95% confidence intervals (95%CIs). The inter-center variability in the achievement of the unfavorable outcomes was also investigated. Overall, 28,802 subjects were analyzed (45.5% women). Women and men had similar age (44.5±16.0 vs. 45.0±17.0 years) and diabetes duration (18.3±13.0 vs. 18.8±13.0 years). No between-gender differences were found in process indicators. As for intermediate outcomes, women showed 33% higher likelihood of having HbA1c ≥8.0% (OR = 1.33; 95%CI: 1.25–1.43), 29% lower risk of blood pressure ≥140/90 mmHg (OR = 0.71; 95%CI: 0.65–0.77) and 27% lower risk of micro/macroalbuminuria (OR = 0.73; 95%CI: 0.65–0.81) than men, while BMI, LDL-c and GFR did not significantly differ; treatment intensity/appropriateness was not systematically different between genders; overall quality score was similar in men and women. Consistently across centers a larger proportion of women than men had HbA1c ≥8.0%, while a smaller proportion had BP ≥140/90 mmHg. No gender-disparities were found in process measures and improvements are required in both genders. The systematic worse metabolic control in women and worse blood pressure in men suggest that pathophysiologic differences rather than the care provided might explain these differences.

Real-world evaluation of glycemic control among patients with type 2 diabetes mellitus treated with canagliflozin versus dipeptidyl peptidase-4 inhibitors

Objective To evaluate glycemic control among patients with type 2 diabetes mellitus (T2DM) treated with canagliflozin (CANA) vs. dipeptidyl peptidase-4 (DPP-4) inhibitors. Methods Using integrated claims and lab data from a US health plan of commercial and Medicare Advantage enrollees, this matched-control cohort study assessed adult T2DM patients receiving treatment with CANA or DPP-4 inhibitors (1 April 2013-31 December 2013). Cohorts were chosen hierarchically; the first pharmacy claim for CANA was identified as the index date; then the first pharmacy claim for a DPP-4 inhibitor was identified and index date set. Eligible patients had 6 months of continuous health plan enrollment before the index date (baseline) and 9 months after (follow-up) and no evidence of index drug in baseline. Patients were matched 1:1 using propensity score matching. Changes in glycated hemoglobin (HbA1c) and percentages of patients with HbA1c <8% and <7% during the follow-up were evaluated. Results The matched CANA and DPP-4 inhibitor cohorts (53.2% treated with sitagliptin) included 2766 patients each (mean age: 55.7 years). Among patients with baseline and follow-up HbA1c results, mean baseline HbA1c values were similar, 8.62% and 8.57% (p = 0.615) for the CANA (n = 729) and DPP-4 inhibitor (n = 710) cohorts, respectively. Change in HbA1c was greater among patients in the CANA cohort than for those in the DPP-4 inhibitor cohort (-0.92% vs. -0.63%, p < 0.001), and also among the subset of patients with baseline HbA1c ≥7% (-1.07% [n = 624] vs. -0.79% [n = 603], p = 0.004). During follow-up, greater percentages of the CANA cohort relative to the DPP-4 inhibitor cohort achieved HbA1c of <8% (66.0% vs. 58.6%, p = 0.004) and <7% (35.4% vs. 29.9%, p = 0.022). Limitations This study was observational and residual confounding remains a possibility. Conclusions In this real-world study of patients with T2DM, CANA use was associated with greater HbA1c reduction and higher percentages of patients attaining HbA1c goals than those treated with DPP-4 inhibitors.

Older Adults Reporting More Diabetes Mellitus Care Have Greater 9-Year Survival

OBJECTIVES

To determine whether receiving more recommended diabetes mellitus (DM) care processes (tests and screenings) would translate into better 9-year survival for middle-aged and older adults.

DESIGN

Longitudinal mortality analysis using the Health and Retirement Study Diabetes Mailout Survey.

SETTING

Health and Retirement Study (HRS).

PARTICIPANTS

Individuals aged 51 and older (n = 1,879; mean age 68.8 ± 8.7, 26.5% aged ≥75) with self-reported DM who completed the Diabetes Mailout Survey and the core 2002 HRS survey.

MEASUREMENTS

A composite measure of five self-reported diabetes mellitus care process measures were dichotomized as greater (3-5 processes) versus fewer (0-2 processes) care processes provided. Cox proportional hazards models were used to test relationships between reported measures and mortality, controlling for sociodemographic characteristics, function, comorbidities, geriatric conditions, and insulin use.

RESULTS

Prevalence of self-reported care processes was 80.1% for glycosylated hemoglobin test, 75.9% for urine test, 67.5% for eye examination, 67.7% for aspirin counseling, and 48.2% for diabetes education. In 9 years, 32.1% respondents died. Greater care correlated with 24% lower risk of dying (adjusted hazard ratio = 0.76, 95% confidence interval = 0.64-0.91) at 9-year follow up. When respondents were age-stratified (≥75 vs <75) longer survival was statistically significant only in the older age group.

CONCLUSION

Although it is not possible to account for differences in adherence to care that may also affect survival, this study demonstrates that monitoring of and counseling about types of DM care processes are associated with long-term survival benefit even in individuals aged 75 and older with DM.

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.

No consistent association between processes-of-care and health-related quality of life among patients with diabetes: a missing link?

PURPOSE

Health-related quality of life (HRQoL) is considered a representative outcome in the evaluation of chronic disease management initiatives emphasizing patient-centered care. We evaluated the association between receipt of processes-of-care (PoC) for diabetes and HRQoL.

METHODS

This cross-sectional study used self-reported data from non-institutionalized adults with diabetes in a Swiss canton. Outcomes were the physical/mental composites of the short form health survey 12 (SF-12) physical composite score, mental composite score (PCS, MCS) and the Audit of Diabetes-Dependent Quality of Life (ADDQoL). Main exposure variables were receipt of six PoC for diabetes in the past 12 months, and the Patient Assessment of Chronic Illness Care (PACIC) score. We performed linear regressions to examine the association between PoC, PACIC and the three composites of HRQoL.

RESULTS

Mean age of the 519 patients was 64.5 years (SD 11.3); 60% were male, 87% reported type 2 or undetermined diabetes and 48% had diabetes for over 10 years. Mean HRQoL scores were SF-12 PCS: 43.4 (SD 10.5), SF-12 MCS: 47.0 (SD 11.2) and ADDQoL: -1.6 (SD 1.6). In adjusted models including all six PoC simultaneously, receipt of influenza vaccine was associated with lower ADDQoL (β=-0.4, p≤0.01) and foot examination was negatively associated with SF-12 PCS (β=-1.8, p≤0.05). There was no association or trend towards a negative association when these PoC were reported as combined measures. PACIC score was associated only with the SF-12 MCS (β=1.6, p≤0.05).

CONCLUSIONS

PoC for diabetes did not show a consistent association with HRQoL in a cross-sectional analysis. This may represent an effect lag time between time of process received and health-related quality of life. Further research is needed to study this complex phenomenon.

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.

Sex disparities in the quality of diabetes care: biological and cultural factors may play a different role for different outcomes: a cross-sectional observational study from the AMD Annals initiative

OBJECTIVE

To investigate the quality of type 2 diabetes care according to sex.

RESEARCH DESIGN AND METHODS

Clinical data collected during the year 2009 were extracted from electronic medical records; quality-of-care indicators were evaluated. Multilevel logistic regression analysis was applied to estimate the likelihood of women versus men to be monitored for selected parameters, to reach clinical outcomes, and to be treated with specific classes of drugs. The intercenter variability in the proportion of men and women achieving the targets was also investigated.

RESULTS

Overall, 415,294 patients from 236 diabetes outpatient centers were evaluated, of whom 188,125 (45.3%) were women and 227,169 (54.7%) were men. Women were 14% more likely than men to have HbA1c>9.0% in spite of insulin treatment (odds ratio 1.14 [95% CI 1.10-1.17]), 42% more likely to have LDL cholesterol (LDL-C)≥130 mg/dL (1.42 [1.38-1.46]) in spite of lipid-lowering treatment, and 50% more likely to have BMI≥30 kg/m2 (1.50 [1.50-1.54]). Women were less likely to be monitored for foot and eye complications. In 99% of centers, the percentage of men reaching the LDL-C target was higher than in women, the proportion of patients reaching the HbA1c target was in favor of men in 80% of the centers, and no differences emerged for blood pressure.

CONCLUSIONS

Women show a poorer quality of diabetes care than men. The attainment of the LDL-C target seems to be mainly related to pathophysiological factors, whereas patient and physician attitudes can play an important role in other process measures and outcomes.

The role of the care model in modifying prognosis in diabetes

Organizational factors in diabetes care can influence long- and medium-term outcomes, affecting the prognosis to the same extent as new therapies. A growing body of evidence supports the hypothesis that diabetes team consultation can favorably impact on hospital utilization, the costliest item in diabetes management, as well as on hospitalization rates, inpatient hospital length of stay, and re-admission rates. Moreover, the model of diabetes care has been reported to influence guidelines adherence, an additional factor linked to the variability in the quality of diabetes care. The strongest predictor and effect modifier of the quality of diabetes care is specialist referral. Compared to patients seen in primary care or other settings, those visiting a diabetes center are more likely to be monitored according to guidelines, regardless of the severity-of-disease effect, and to receive structured education, as well as more aggressive treatment when needed. Finally, at least eight published studies suggest that when continuity of care is shared with diabetes clinics, all-cause mortality and major cardiovascular events are both reduced. The sharing of care pathways between primary care providers and diabetes teams is likely to be the best and most affordable solution in the complex management of this chronic condition.

The burden of hospitalization related to diabetes mellitus: a population-based study

BACKGROUND AND AIMS

To estimate the impact of diabetes and its complications, overall and in different age classes, on the likelihood of hospital admission for specific causes.

METHODS AND RESULTS

We carried out a record-linkage analysis of administrative registers including data on 8,940,420 citizens in 21 Local Health Authorities in Italy. Individuals with pharmacologically treated diabetes (≥2 prescriptions of antidiabetic agents during the year 2008) were paired in a 1:1 proportion with those who did not receive such drugs (controls) based on propensity-score matching. Odds Ratios (ORs) of hospitalization for macro and microvascular conditions in individuals with diabetes as compared to controls were estimated. The system identified 498,825 individuals with diabetes pharmacologically treated (prevalence of 5.6%). Prevalence of diabetes in people aged <14 years, 14-39 years, 40-65 years, and ≥65 years was 0.1%, 0.6%, 6.4%, and 18.2%, respectively. Overall, 23.9% of subjects with diabetes and 11.5% of controls had had at least a hospital admission during 12 months for the causes considered. Diabetes increased the likelihood of hospitalization by two to six times for the different causes examined. In absolute terms, diabetes was responsible for an excess of over 12,000 hospital admissions per 100,000 individuals/year.

CONCLUSION

Despite the availability of effective treatments to prevent or delay major complications, diabetes still places an enormous burden on both patients and the health care system. Given the continuous rise in diabetes prevalence both in middle-aged and elderly individuals, we can expect an additional, hardly sustainable increase in the demand for health care in the near future.

The impact of adherence to screening guidelines and of diabetes clinics referral on morbidity and mortality in diabetes

Despite the heightened awareness of diabetes as a major health problem, evidence on the impact of assistance and organizational factors, as well as of adherence to recommended care guidelines, on morbidity and mortality in diabetes is scanty. We identified diabetic residents in Torino, Italy, as of 1st January 2002, using multiple independent data sources. We collected data on several laboratory tests and specialist medical examinations to compare primary versus specialty care management of diabetes and the fulfillment of a quality-of-care indicator based on existing screening guidelines (GCI). Then, we performed regression analyses to identify associations of these factors with mortality and cardiovascular morbidity over a 4 year-follow-up. Patients with the lowest degree of quality of care (i.e. only cared for by primary care and with no fulfillment of GCI) had worse RRs for all-cause (1.72 [95% CI 1.57-1.89]), cardiovascular (1.74 [95% CI 1.50-2.01]) and cancer (1.35 [95% CI 1.14-1.61]) mortality, compared with those with the highest quality of care. They also showed increased RRs for incidence of major cardiovascular events up to 2.03 (95% CI 1.26-3.28) for lower extremity amputations. Receiving specialist care itself increased survival, but was far more effective when combined with the fulfillment of GCI. Throughout the whole set of analysis, implementation of guidelines emerged as a strong modifier of prognosis. We conclude that management of diabetic patients with a pathway based on both primary and specialist care is associated with a favorable impact on all-cause mortality and CV incidence, provided that guidelines are implemented.

A longitudinal study examining adherence to guidelines in diabetes care according to different definitions of adequacy and timeliness

BACKGROUND

Performance indicators assessing quality of diabetes care often look at single processes, e.g. whether an HbA1c test was conducted. Adequate care, however, consists of consecutive processes which should be taken in time (clinical pathways). We assessed quality of diabetes care by looking at single processes versus clinical pathways. In addition, we evaluated the impact of time period definitions on this quality assessment.

METHODOLOGY

We conducted a cohort study in 2007-2008 using the GIANTT (Groningen Initiative to Analyse type 2 diabetes Treatment) database. Proportions of patients adequately managed for HbA1c, systolic blood pressure (SBP), LDL-cholesterol (LDL-C), and albumin/creatinine ratio (ACR) were calculated for the pathway of (1) risk factor level testing, (2) treatment intensification when indicated, (3) response to treatment evaluation. Strict and wide time periods for each step were defined. Proportions of patients adequately managed regarding the overall pathway and single steps, using strict or wide time periods were compared using odds ratios (OR) with 95% confidence intervals.

FINDINGS

Of 11,176 patients diagnosed with type 2 diabetes, 9439 with complete follow-up were included. The majority received annual examination of HbA1c (86%) and SBP (86%), whereas this was 67% for LDL-C and 49% for ACR. Adequate management regarding the three-step pathway was observed in 73%, 53%, 46%, 41% of patients for HbA1c, SBP, LDL-C, and ACR respectively. Quality scores reduced significantly due to the second step (OR 0.43, 0.18, 0.44, 0.74), but were not much further reduced by the third step. Timely treatment evaluation occurred in 88% for HbA1c, 87% for SBP, 83% for LDL-C, and 76% for ACR. The overall score was not significantly changed by using strict time windows.

CONCLUSION

Quality estimates of glycemic, blood pressure and cholesterol management are substantially reduced when looking at clinical pathways as compared to estimates based on commonly used simple process measures.

Review: relation between quality-of-care indicators for diabetes and patient outcomes: a systematic literature review

The authors conducted a systematic literature review to assess whether quality indicators for diabetes care are related to patient outcomes. Twenty-four studies were included that formally tested this relationship. Quality indicators focusing on structure or processes of care were included. Descriptive analyses were conducted on the associations found, differentiating for study quality and level of analysis. Structure indicators were mostly tested in studies with weak designs, showing no associations with surrogate outcomes or mixed results. Process indicators focusing on intensification of drug treatment were significantly associated with better surrogate outcomes in three high-quality studies. Process indicators measuring numbers of tests or visits conducted showed mostly negative results in four high-quality studies on surrogate and hard outcomes. Studies performed on different levels of analysis and studies of lower quality gave similar results. For many widely used quality indicators, there is insufficient evidence that they are predictive of better patient outcomes.

Quality of diabetes care predicts the development of cardiovascular events: results of the AMD-QUASAR study

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.

Four-year impact of a continuous quality improvement effort implemented by a network of diabetes outpatient clinics: the AMD-Annals initiative

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 < 7% increased by 6% in group A (2007-2004 difference) and by 1.3% in group B. The proportion of patients with low-density lipoprotein-cholesterol < 100 mg/dl improved by over 10% in both groups. The rate of patients with blood pressure values < or = 130/85 mmHg increased in group A (+6.4%), but not in group B (-1.4%). The use of insulin increased in group A only (+5.2%), while the use of statins increased by over 20% in both groups.

CONCLUSIONS

A physician-led quality improvement effort, based on the systematic evaluation of routine data, is effective in improving the performance of a large number of diabetes clinics. The small percentage increase in the number of patients at target, if applied to large numbers of patients, would translate into a significant impact on public health.

Monitoring modifiable cardiovascular risk in type 2 diabetes care in general practice: the use of an aggregated z-score

BACKGROUND

Because many patients in usual care reach the diabetes treatment goals, it may be more efficacious to focus quality improvement efforts on those general practice populations requiring additional support. We therefore developed a tool based on a composite end point considering blood pressure, lipids, and glycaemia.

METHODS

We created an aggregated z(A)-score, calculated as the average of 3 z-scores testing whether the mean practice values of hemoglobin A1c, low density lipoprotein cholesterol, and systolic blood pressure are significantly higher than the corresponding ADA-target (respectively 7%, 100 mg/dL, and 130 mm Hg). This score was used with 100 general practitioners who participated in a Quality Improvement Program. We defined the cut-off value (COV) to determine "Practices Requiring Support" (z(A) <COV) using a receiver's operating characteristics curve with the mean practice CHD risk as gold standard. To further test the z-score validity, we calculated the correlation coefficient between the z-score and the mean practice CHD risk and the improvement in the z-score after the Quality Improvement Program.

RESULTS

The COV was -1.22 and was valid to discriminate between practices at higher risk from practices at lower CHD risk (24% +/- 4% vs. 19% +/- 4%). The correlation coefficient was -0.515 (P = 0.001). The average z-score increased from -1.21 +/- 0.97 at baseline to 0.49 +/- 1.01 after the intervention (P < 0.001).

CONCLUSION

This scoring system is useful to picture practice populations with diabetes who are at high cardiovascular risk because of modifiable risk factors. Although the unadjusted z-score cannot be used to compare physicians, this technique can be used to evaluate improvement efforts over time.

Association of physicians' accuracy in recording with quality of care in cardiovascular medicine

BACKGROUND

Physicians' adherence to cardiovascular (CV) guidelines has been found to be poor. In this regard, accuracy in keeping medical records could play an important role. This study was devised to describe which data are present in medical records from a large sample of physicians and to investigate the association and the link between completeness in recording and clinical appropriateness.

METHODS

The data extracted from medical records of 1078 doctors (general practitioners, cardiologists, and diabetologists) were analyzed, with a focus on CV prevention. The percentage of recorded data of several CV clinical variables was calculated. A multivariate analysis was performed to investigate the association between doctors' and patients' characteristics and different patterns in recording. Finally, the completeness in recording was calculated with a score and plotted against three indicators of appropriateness.

RESULTS

The only risk factor that achieved a good standard of registration was blood pressure (89%). Low-density lipoprotein and waist circumference were largely under-recorded, whereas lifestyle data collection was almost negligible. Age, specialization, and use of electronic records increase the accuracy in recording. When one CV risk factor was predominant, the probability of having other risk factors recorded was reduced. A significant increase in the proportion of patients treated according to guidelines was found in doctors who were more accurate in recording.

CONCLUSION

A link exists between accuracy in recording with both quality of care and adherence to guidelines. Specific training of all doctors in this field should be considered.

Baseline quality-of-care data from a quality-improvement program implemented by a network of diabetes outpatient clinics

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 <or=7.0%, 36.6% had blood pressure <or=130/85 mmHg, and 29.8% had LDL cholesterol <100 mg/dl. Only 5.5% of the patients had achieved all the favorable outcomes. Wide between-center variation was documented for all indicators.

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.

Overall quality of diabetes care in a defined geographic region: different sides of the same story

BACKGROUND

In diabetes care, knowledge about what is achievable in primary and secondary care is important. There is a need for an objective method to assess the quality of care in different settings. A quality-of-care summary score has been developed based on process and outcome measures. An adapted version of this score was used to evaluate diabetes management in different settings.

AIM

To evaluate the quality of diabetes management in primary and secondary care in a defined geographic region in the Netherlands, using a quality score.

DESIGN OF STUDY

Cross-sectional study.

SETTING

Thirty general practices in the Netherlands.

METHOD

A study of 2042 patients with type 2 diabetes (1640 primary care and 402 secondary care) was conducted. Quality of diabetes management was assessed by a score of process and outcome indicators (range 0-40). Clustering at practice level and differences in patient characteristics (case mix) were taken into account.

RESULTS

At the outpatient clinic, patients were younger (mean age 64.1 years, standard deviation (SD)=12.5 years, versus mean age 67.1 years, SD=11.7, P<0.001), had more diabetes-related complications (macrovascular: 39.7% versus 24.3%, P<0.001; and microvascular: 25.9% versus 7.3%, P<0.001), and lower quality-of-life scores (EuroQol-5D: mean=0.60, SD=0.29, versus mean=0.80, SD=0.21, P<0.001). After adjusting for case mix and clustering, there was a weak association between the setting of treatment and haemoglobin A1c (primary care: mean 7.1%, SD=1.1, versus secondary care: mean 7.6%, SD=1.2, P<0.016), and between setting and systolic blood pressure (primary: mean 145.7 mmHg, SD=19.2, versus secondary care: 147.77 mmHg, SD 21.0, P<0.035). Quality-of-care summary scores in primary and secondary care differed significantly, with a higher score in primary care (mean 19.6, SD=8.5 versus, mean 18.1, SD=8.7, P<0.01). However, after adjusting for case mix and clustering, this difference lost significance.

CONCLUSION

GPs and internists are treating different categories of patients with type 2 diabetes. However, overall quality of diabetes management in primary and secondary care is equal. There is much room for improvement. Future guidelines may differentiate between different categories of patients.

Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners

OBJECTIVE

This study evaluated a computerized method for extracting numeric clinical measurements related to diabetes care from free text in electronic patient records (EPR) of general practitioners.

DESIGN AND MEASUREMENTS

Accuracy of this number-oriented approach was compared to manual chart abstraction. Audits measured performance in clinical practice for two commonly used electronic record systems.

RESULTS

Numeric measurements embedded within free text of the EPRs constituted 80% of relevant measurements. For 11 of 13 clinical measurements, the study extraction method was 94%-100% sensitive with a positive predictive value (PPV) of 85%-100%. Post-processing increased sensitivity several points and improved PPV to 100%. Application in clinical practice involved processing times averaging 7.8 minutes per 100 patients to extract all relevant data.

CONCLUSION

The study method converted numeric clinical information to structured data with high accuracy, and enabled research and quality of care assessments for practices lacking structured data entry.