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


Journal

Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975

Informations de publication

Date de publication:
04 2019
Historique:
received: 10 07 2018
accepted: 15 01 2019
pubmed: 16 2 2019
medline: 25 12 2019
entrez: 16 2 2019
Statut: ppublish

Résumé

An association between variability in clinical parameters (HbA 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. 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 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.

Identifiants

pubmed: 30765432
pii: dc18-1471
doi: 10.2337/dc18-1471
doi:

Substances chimiques

Glycated Hemoglobin A 0
Uric Acid 268B43MJ25
Cholesterol 97C5T2UQ7J

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

514-519

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2019 by the American Diabetes Association.

Auteurs

Antonio Ceriello (A)

Insititut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain aceriell@clinic.cat.
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain.
Department of Cardiovascular and Metabolic Diseases, IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy.

Maria Chiara Rossi (MC)

Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.

Salvatore De Cosmo (S)

Department of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy.

Giuseppe Lucisano (G)

Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.

Roberto Pontremoli (R)

Department of Cardionephrology, IRCCS Azienda Ospedaliera Universitaria San Martino-IST, Genoa, Italy.

Paola Fioretto (P)

Department of Medicine, University of Padua, Padua, Italy.

Carlo Giorda (C)

Diabetes and Metabolism Unit, Department of Internal Medicine, ASL Turin 5, Chieri, Turin, Italy.

Antonio Pacilli (A)

Department of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy.

Francesca Viazzi (F)

Department of Cardionephrology, IRCCS Azienda Ospedaliera Universitaria San Martino-IST, Genoa, Italy.

Giuseppina Russo (G)

Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.

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Classifications MeSH