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Care trajectories are associated with quality improvement in the treatment of patients with uncontrolled type 2 diabetes: A registry based cohort study.

Goderis, Geert
Van Casteren, Viviane
Declercq, Etienne
Van Den Broeke, Carine
Vanthomme, Katrien
Nobels, Frank
Mathieu, Chantal
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Abstract

AIMS: To analyse whether care trajectories (CT) were associated with increased prevalence of parenteral hypoglycemic treatment (PHT=insulin or GLP-1 analogues), statin therapy or RAAS-inhibition. Introduced in 2009 in Belgium, CTs target patients with type 2 diabetes mellitus (T2DM), in need for or with PHT.

METHODS: Retrospective study based on a registry with 97 general practitioners. The evolution in treatment since 2006 was compared between patients with vs. without a CT, using longitudinal logistic regression.

RESULTS: Comparing patients with (N=271) vs. without a CT (N=4424), we noted significant differences (p<0.05) in diabetes duration (10.1 vs. 7.3 years), HbA1c (7.5 vs. 6.9%), LDL-C (85 vs. 98mg/dl), microvascular complications (26 vs. 16%). Moreover, in 2006, parenteral treatment (OR 52.1), statins (OR 4.1) and RAAS-inhibition (OR 9.6) were significantly more prevalent (p<0.001). Between 2006 and 2011, the prevalence rose in both groups regarding all three treatments, but rose significantly faster (p<0.05) after 2009 in the CT-group.

CONCLUSIONS: Patients enrolled in a CT differ from other patients even before the start of this initiative with more intense hypoglycemic and cardiovascular treatment. Yet, they presented higher HbA1c-levels and more complications. Enrolment in a CT is associated with additional treatment intensification.

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2015-10-01
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Aged, Angiotensin II Type 1 Receptor Blockers, Angiotensin-Converting Enzyme Inhibitors, Belgium, Biomarkers, Blood Glucose, Cholesterol, LDL, Critical Pathways, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Female, General practice, Glucagon-Like Peptide 1, Hemoglobin A, Glycosylated, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Hypoglycemic Agents, Incretins, Insulin, Linear Models, Logistic Models, Male, ODDS RATIO, quality improvement, Quality Indicators, Health Care, REGISTRIES, Retrospective Studies, Risk Factors, Time Factors, Treatment Outcome
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