European Union diabetes indicators: Fact or fiction?

Beaufort, Carine de; Reunanen, Antti; Raleigh, Veena S; Storms, F.; Kleinebreil, Line; Gallego, Rosa; Giorda, Carlo; Midthjell, Kristian; Jecht, M.; Leeuw, I. De; Schober, Edith; Boran, Gerard; Tolis, G.

doi:10.1093/eurpub/13.suppl_1.51

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…Using routinely collected administrative data, we were able to monitor prospectively, at the population level, several indicators that are used internationally to assess the process of care (3,14–16) and, consequently, to identify some strengths and weakness of the care system.…”

Section: Discussionmentioning

confidence: 99%

“…As a further step, we tested the feasibility of generating a set of established quality-of-care indicators (3,14–16) from administrative databases. We report the role of certain clinical and socioeconomic variables as determinants of adherence to recommended guidelines for monitoring diabetes and assess whether the quality of diabetes care differs between patients cared for by a diabetologist or by other physicians.…”

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confidence: 99%

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Determinants of Quality in Diabetes Care Process

et al. 2009

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OBJECTIVETo investigate the role of clinical and socioeconomic variables as determinants of adherence to recommended diabetes care guidelines and assess differences in the process of care between diabetologists and general practitioners.RESEARCH DESIGN AND METHODSWe identified diabetic residents in Torino, Italy, as of 31 July 2003, using multiple independent data sources. We collected data on several laboratory tests and specialist medical examinations registered during the subsequent 12 months and performed regression analyses to identify associations with quality-of-care indicators based on existing guidelines.RESULTSAfter 1 year, only 35.8% of patients had undergone a comprehensive assessment. In the multivariate models, factors independently and significantly associated with lower quality of care were age ≥75 years (prevalence rate ratio [PRR] 0.66 [95% CI 0.61–0.70]) and established cardiovascular disease (0.89 [0.86–0.93]). Disease severity (PRR for insulin-treated patients 1.45 [1.38–1.53]) and diabetologist consultation (PRR 3.34 [3.17–3.53]) were positively associated with high quality of care. No clear association emerged between sex and socioeconomic status. These differences were strongly reduced in patients receiving diabetologist care compared with patients receiving general practitioner care only.CONCLUSIONSDespite widespread availability of guidelines and simple screening procedures, a nonnegligible portion of the diabetic population, namely elderly individuals and patients with less severe forms of the disease, are not properly cared for. As practitioners in diabetes centers are more likely to adhere to guidelines than general practitioners, quality in the diabetes care process can be improved by increasing the intensity of disease management programs, with greater participation by general practitioners.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Determinants of Quality in Diabetes Care Process

et al. 2009

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“…Several sets of quality indicators for diabetes care have been developed, but none included any prescribing quality indicators (PQIs) [20,21]. PQIs are process measures that can help to identify patients who may benefit from initiation or intensification of treatment.…”

Section: Discussionmentioning

confidence: 99%

Underuse of ACE inhibitors and angiotensin II receptor blockers among patients with diabetic nephropathy in Taiwan

Yeh

Huang

et al. 2011

Health Policy

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“…Despite the increasing prevalence and great human and economic burden, population‐based epidemiological data on Type 2 diabetes are scarce in the European Union [3,4]. In Germany, the country with the largest population in Europe, there are only data on self‐reported diabetes, e.g.…”

Section: Introductionmentioning

confidence: 99%