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 diabete...

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Veröffentlicht in:Diabetes care 2011-02, Vol.34 (2), p.347-352
Hauptverfasser: Rossi, Maria C.E, Lucisano, Giuseppe, Comaschi, Marco, Coscelli, Carlo, Cucinotta, Domenico, Di Blasi, Patrizia, Bader, Giovanni, Pellegrini, Fabio, Valentini, Umberto, Vespasiani, Giacomo, Nicolucci, Antonio
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Sprache:eng
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Zusammenfassung: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 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 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.
ISSN:0149-5992
1935-5548
DOI:10.2337/dc10-1709