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Nutr Metab Cardiovasc Dis ; 24(5): 563-71, 2014 May.
Article in English | MEDLINE | ID: mdl-24472633

ABSTRACT

BACKGROUND AND AIM: This cluster randomized trial evaluated the efficacy of a disease and care management (D&CM) model in cardiovascular (CVD) prevention in primary care. METHODS AND RESULTS: Eligible subjects had ≥ 1 among: blood pressure ≥ 140/90 mmHg; glycated hemoglobin ≥ 7%; LDL-cholesterol ≥ 160 or ≥ 100 mg/dL (primary or secondary prevention, respectively); BMI ≥ 30; current smoking. The D&CM intervention included a teamwork including nurses as care managers for the implementation of tailored care plans. Control group was allocated to usual-care. The main outcome was the proportion of subjects achieving recommended clinical targets for ≥ 1 of uncontrolled CVD risk factors at 12-month. During 2008-2009 we enrolled 920 subjects in the Abruzzo/Marche regions, Italy. Following the exclusion of L'Aquila due to 2009 earthquake, final analyses included 762 subjects. The primary outcome was achieved by 39.1% (95%CI: 34.2-44.2) and 25.2% (95%CI: 20.9-29.9) of subjects in the intervention and usual-care group, respectively (p < 0.001). The D&CM intervention significantly increased the proportion of subjects who achieved clinical targets for both diabetes and hypertension, with no differences in hypercholesterolemia, smoking status and obesity. CONCLUSIONS: The D&CM intervention was effective in controlling cardiovascular risk factors, in particular hypertension and diabetes. Numbers needed to treat were small. Such intervention may deserve further consideration in clinical practice. REGISTRATION NUMBER: ACTRN12611000813987.


Subject(s)
Cardiovascular Diseases/prevention & control , Primary Health Care , Adult , Aged , Aged, 80 and over , Blood Pressure , Body Mass Index , Cholesterol, LDL/blood , Cluster Analysis , Disease Management , Female , Follow-Up Studies , Glycated Hemoglobin/metabolism , Humans , Hypercholesterolemia/blood , Hypertension/blood , Italy , Logistic Models , Male , Middle Aged , Multivariate Analysis , Risk Factors , Treatment Outcome
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