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      Determinants of Quality in Diabetes Care Process : The population-based Torino Study

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          Abstract

          OBJECTIVE

          To 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 METHODS

          We 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.

          RESULTS

          After 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.

          CONCLUSIONS

          Despite 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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          Most cited references19

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          Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

          The goal of this study was to estimate the prevalence of diabetes and the number of people of all ages with diabetes for years 2000 and 2030. Data on diabetes prevalence by age and sex from a limited number of countries were extrapolated to all 191 World Health Organization member states and applied to United Nations' population estimates for 2000 and 2030. Urban and rural populations were considered separately for developing countries. The prevalence of diabetes for all age-groups worldwide was estimated to be 2.8% in 2000 and 4.4% in 2030. The total number of people with diabetes is projected to rise from 171 million in 2000 to 366 million in 2030. The prevalence of diabetes is higher in men than women, but there are more women with diabetes than men. The urban population in developing countries is projected to double between 2000 and 2030. The most important demographic change to diabetes prevalence across the world appears to be the increase in the proportion of people >65 years of age. These findings indicate that the "diabetes epidemic" will continue even if levels of obesity remain constant. Given the increasing prevalence of obesity, it is likely that these figures provide an underestimate of future diabetes prevalence.
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            Socioeconomic position and health among persons with diabetes mellitus: a conceptual framework and review of the literature.

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              A systematic review of interventions to improve diabetes care in socially disadvantaged populations.

              To identify and synthesize evidence about the effectiveness of patient, provider, and health system interventions to improve diabetes care among socially disadvantaged populations. Studies that were included targeted interventions toward socially disadvantaged adults with type 1 or type 2 diabetes; were conducted in industrialized countries; were measured outcomes of self-management, provider management, or clinical outcomes; and were randomized controlled trials, controlled trials, or before-and-after studies with a contemporaneous control group. Seven databases were searched for articles published in any language between January 1986 and December 2004. Twenty-six intervention features were identified and analyzed in terms of their association with successful or unsuccessful interventions. Eleven of 17 studies that met inclusion criteria had positive results. Features that appeared to have the most consistent positive effects included cultural tailoring of the intervention, community educators or lay people leading the intervention, one-on-one interventions with individualized assessment and reassessment, incorporating treatment algorithms, focusing on behavior-related tasks, providing feedback, and high-intensity interventions (>10 contact times) delivered over a long duration (>or=6 months). Interventions that were consistently associated with the largest negative outcomes included those that used mainly didactic teaching or that focused only on diabetes knowledge. This systematic review provides evidence for the effectiveness of interventions to improve diabetes care among socially disadvantaged populations and identifies key intervention features that may predict success. These types of interventions would require additional resources for needs assessment, leader training, community and family outreach, and follow-up.
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                Author and article information

                Journal
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                November 2009
                12 August 2009
                : 32
                : 11
                : 1986-1992
                Affiliations
                [1] 1Epidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy;
                [2] 2Department of Public Health, University of Torino, Torino, Italy;
                [3] 3Metabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy.
                Author notes
                Corresponding author: Roberto Gnavi, roberto.gnavi@ 123456epi.piemonte.it .
                Article
                0647
                10.2337/dc09-0647
                2768191
                19675196
                e174f8af-5658-47d5-bac9-d16bb76d6eba
                © 2009 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

                History
                : 3 April 2009
                : 27 July 2009
                Categories
                Original Research
                Epidemiology/Health Services Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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