Effectiveness of integrated care model for type 2 diabetes: A population-based study in Reggio Emilia (Italy)

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.

A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary

There are several challenges in diabetes care management including optimizing the currently used therapies, educating patients on selfmanagement, and improving patient lifestyle and systematic healthcare barriers. The purpose of performing a systems approach to implementation science aided by artificial intelligence techniques in diabetes care is two-fold: 1) to explicate the systems approach to formulate predictive analytics that will simultaneously consider multiple input and output variables to generate an ideal decision-making solution for an optimal outcome; and 2) to incorporate contextual and ecological variations in practicing diabetes care coupled with specific health educational interventions as exogenous variables in prediction. A similar taxonomy of modeling approaches proposed by Brennon et al (2006) is formulated to examining the determinants of diabetes care outcomes in program evaluation. The discipline-free methods used in implementation science research, applied to efficiency and quality-of-care analysis are presented. Finally, we illustrate a logically formulated predictive analytics with efficiency and quality criteria included for evaluation of behavioralchange intervention programs, with the time effect included, in diabetes care and research.

Predictors for self-management in older adults with type 2 diabetic nephropathy

AIM AND OBJECTIVES

To investigate factors related to self-management and predictors of self-management in older adult patients with type 2 diabetic nephropathy.

BACKGROUND

Diabetic patients suffer many comorbidities during their lifetime, and the process of self-management is complex. Self-management and an integrated care experience are extremely important for older adults with diabetic nephropathy.

DESIGN

A cross-sectional correlation design was adopted.

METHODS

A total of 123 older patients were enrolled in the study from June 2016 to November 2017. Data collection involved a demographic questionnaire, the Patients' Experience of Integrated Care Questionnaire and the Partners in Health Scale to measure the integrated care experience and self-management. Data analysis included descriptive statistics, independent t tests, Pearson product-moment correlation and multiple linear regression. The methods are consistent with the STROBE criteria (Data S1).

RESULTS

The results showed that the majority of the sample was female (56.9%). The average age was 77 years old. Stepwise regression analysis showed that re-admission during the past year (p < .001), physical function (p < .001) and integrated care experience (p < .001) are predictors of self-management in older adult patients with type 2 diabetic nephropathy and explained 42.8% of the variation in self-management behaviour.

CONCLUSION

The results can be used to enhance the awareness of clinicians of the importance of an integrated care experience and self-management among older patients with type 2 diabetic nephropathy. Clinicians also should pay attention to physical function and the integrated care experience to promote self-management.

RELEVANCE TO CLINICAL PRACTICE

Studies on the integrated care experience and self-management of diabetic neuropathy in older adults are limited in Taiwan. The results of this study provide valuable information to support the importance of integrated care among this specific population.

Determinants of inappropriate setting allocation in the care of patients with type 2 diabetes: A population-based study in Reggio Emilia province

The study aims to describe the distribution of patients with type 2 diabetes (T2D) by care plan and to highlight determinants of underuse and overuse of integrated care (IC). This cross-sectional study included all T2D patients resident in Reggio Emilia on 31/12/2015 based on the population-based diabetes registry. Eligibility for IC requires good glycaemic control, no rapid insulin, no kidney failure and no diabetes complications. We calculated the proportion of IC underuse and overuse and adjusted prevalence estimate using multivariate logistic regression. Determinants were age, sex, citizenship, district of residence and time since diagnosis. Of 29,776 patients, 15,364 (51.6%) were in diabetes clinic plan, 9851 (33.1%) in IC plan and 4561 (15.3%) not in any care plan (i.e., in Other group). There were 10,906 (36.6%) patients eligible for IC, of whom 1000 in Other group. When we adjusted for all covariates and restricted the analysis to patients included in care plans, the proportion of those eligible for IC plan but cared for in diabetes clinic plan (i.e. underuse of IC) was 28% (n = 3028/9906; 95%CI 27–29). Similarly, the proportion of those not eligible for IC but cared for in IC plan (i.e. overuse of IC) was 11% (n = 1720/11,896; 95%CI 10–11).The main determinant of both IC underuse and overuse was the district of residence. Foreign status was associated with underuse (37%; 95%CI 33–43), while old age (≥80 years) with both underuse (36%; 95%CI 0.33–0.38) and overuse (23%; 95%CI 22–25). The criterion for suspension of IC plan most frequently found was renal failure, followed by hospitalization for diabetes-related complications. Patients are more often allocated to more specialized settings than not. Healthcare provider-related factors are the main determinants of inappropriate setting allocation.

Management of people with Type 2 diabetes shared between a specialized outpatient clinic and primary health care is noninferior to management in a specialized outpatient clinic: a randomized, noninferiority trial

AIM

To evaluate whether management of people with Type 2 diabetes shared between a specialized outpatient clinic and primary health care has noninferior HbA_1c outcomes compared with mono-sectorial management in a specialized outpatient clinic.

METHODS

A randomized controlled, noninferiority study. People with moderate hyperglycaemia, hypertension and/or incipient complications were eligible for the study. All participants had annual comprehensive check-ups at the outpatient clinic. Quarterly check-ups were conducted by general practitioners (GPs) for the shared care group and by endocrinologists at the outpatient clinic for the control group. The primary outcome was the mean difference in HbA_1c from baseline to 12 months of follow-up. The noninferiority margin for HbA_1c was 4.4 mmol/mol.

RESULTS

A total of 140 people were randomized [age 65.0 ± 0.9 years, HbA_1c 52 ± 0.8 mmol/mol (6.9 ± 0.1%), systolic BP 135.6 ± 1.1 mmHg; all mean ± sem]. Peripheral neuropathy was present in 68% of participants and microalbuminuria in 19%; 15% had history of a previous major cardiovascular event. Among study completers (n = 133), HbA_1c increased by 2.3 mmol/mol (0.2%) in the shared care group and by 1.0 mmol/mol (0.1%) in the control group, with a between-group difference of 1.3 mmol/mol [90% confidence interval (CI) -1.3, 3.9] (0.1%, 90% CI -0.1, 0.4). Noninferiority was confirmed in both per protocol and intention to treat analyses.

CONCLUSION

We found that our shared care programme was noninferior to specialized outpatient management in maintaining glycaemic control in this group of people with Type 2 diabetes. Shared care should be considered for the future diabetes management of Type 2 diabetes.