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      Blood glucose control in diabetes patients seen in primary health care centers Translated title: Controle glicêmico em pacientes diabéticos atendidos em centros de atenção primária à saúde

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          Abstract

          OBJECTIVE: To identify factors associated to poor glycemic control among diabetic patients seen at primary health care centers. METHODS: A cross-sectional study was carried out in a sample of 372 diabetic patients attending 32 primary health care centers in southern Brazil. Data on three hierarchical levels of health unit infrastructure, medical care and patient characteristics were collected. RESULTS: The frequency of poor glycemic control was 50.5%. Multivariate analysis (multilevel method) showed that patients with body mass indexes below 27 kg/m², patients on oral hypoglycemic agents or insulin, and patients diagnosed as diabetic over five years prior to the interview were more likely to present poor glycemic control when compared to their counterparts. CONCLUSIONS: Given the hierarchical data structuring, all associations found suggest that factors associated to hyperglycemia are related to patient-level characteristics.

          Translated abstract

          OBJETIVO: Identificar fatores associados à falta de controle glicêmico em pacientes diabéticos atendidos em centros de atenção primária à saúde. MÉTODOS: Estudo transversal em amostra de 372 pacientes diabéticos atendidos nos 32 centros de atenção primária de uma cidade do sul do Brasil. Foram coletados dados ordenados em três níveis hierárquicos: estrutura das unidades de saúde, características do processo do cuidado médico e pacientes diabéticos. RESULTADOS: A freqüência de falta de controle glicêmico foi de 50,5%. A análise multivariada (método multinível) mostrou que pacientes com Índice de Massa Corporal abaixo de 27 kg/m², em tratamento medicamentoso e com mais de cinco anos de diagnóstico de diabetes, tiveram maior probabilidade de apresentar hiperglicemia quando comparados a seus pares. CONCLUSÕES: Considerando a estrutura hierárquica dos dados, todas as associações encontradas sugerem que os fatores associados à hiperglicemia são relacionados a características dos pacientes.

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          Bringing context back into epidemiology: variables and fallacies in multilevel analysis.

          A large portion of current epidemiologic research is based on methodologic individualism: the notion that the distribution of health and disease in populations can be explained exclusively in terms of the characteristics of individuals. The present paper discusses the need to include group- or macro-level variables in epidemiologic studies, thus incorporating multiple levels of determination in the study of health outcomes. These types of analyses, which have been called contextual or multi-level analyses, challenge epidemiologists to develop theoretical models of disease causation that extend across levels and explain how group-level and individual-level variables interact in shaping health and disease. They also raise a series of methodological issues, including the need to select the appropriate contextual unit and contextual variables, to correctly specify the individual-level model, and, in some cases, to account for residual correlation between individuals within contexts. Despite its complexities, multilevel analysis holds potential for reemphasizing the role of macro-level variables in shaping health and disease in populations.
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            The quality of care. How can it be assessed?

            Before assessment can begin we must decide how quality is to be defined and that depends on whether one assesses only the performance of practitioners or also the contributions of patients and of the health care system; on how broadly health and responsibility for health are defined; on whether the maximally effective or optimally effective care is sought; and on whether individual or social preferences define the optimum. We also need detailed information about the causal linkages among the structural attributes of the settings in which care occurs, the processes of care, and the outcomes of care. Specifying the components or outcomes of care to be sampled, formulating the appropriate criteria and standards, and obtaining the necessary information are the steps that follow. Though we know much about assessing quality, much remains to be known.
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              Postchallenge plasma glucose and glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1c level.

              To observe the relationship of fasting plasma glucose (FPG), postchallenge plasma glucose (PG) (30, 60, 90, and 120 min during an oral glucose tolerance test [OGTT], as well as maximal PG during an OGTT, postchallenge glucose spikes [PGS], and glucose under the OGTT curve), and HbA1c to intima-media thickness (IMT) as a marker of atherosclerosis. OGTT, ultrasound measurement of carotid IMT, and various atherosclerosis risk factors, such as family history of diabetes, obesity, and/or hyperlipoproteinemia, but without known diabetes, were analyzed in 582 individuals aged 40-70 years and at risk for type 2 diabetes. In univariate analysis, all examined glycemic parameters were significantly correlated to IMT. The 2-h postchallenge plasma glucose showed the strongest odds ratio (OR) of 1.88 (1.34-2.63) in relation to abnormal IMT. All PG variables, except for 30-min glucose in OGTT, showed a significant OR, whereas the OR for HbA1c and FPG was not significant. In logistic regression analysis, 2-h PG was identified as the strongest determinant of IMT from all glycemic parameters. The 2-h PG and PGS, but not FPG, were associated with a significant rise of IMT in tertiles of HbA1c. Glycemic parameters were strongly related to each other and to many atherosclerosis risk factors. In multivariate analysis including a variety of atherosclerosis risk factors, 2-h PG was a significant independent determinant of IMT. PG and PGS are more strongly associated with carotid IMT than FPG and HbA1c level and modify substantially the risk for atherosclerosis, estimated by HbA1c alone, in a cohort at risk for diabetes and in the early diabetes stage.
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                Author and article information

                Journal
                rsp
                Revista de Saúde Pública
                Rev. Saúde Pública
                Faculdade de Saúde Pública da Universidade de São Paulo (São Paulo, SP, Brazil )
                0034-8910
                1518-8787
                April 2005
                : 39
                : 2
                : 183-190
                Affiliations
                [01] Pelotas RS orgnameUniversidade Federal de Pelotas orgdiv1Faculdade de Nutrição orgdiv2Departamento de Nutrição Brasil
                [02] Pelotas RS orgnameUFPel orgdiv1Faculdade de Medicina orgdiv2Departamento de Medicina Social Brasil
                [03] Pelotas RS orgnameUFPel orgdiv1Instituto de Física e Matemática orgdiv2Departamento de Matemática, Estatística e Computação Brasil
                Article
                S0034-89102005000200007 S0034-8910(05)03900207
                405dc953-21e0-4566-b1c6-b78118fe4260

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 24 September 2004
                : 01 January 2004
                : 18 February 2004
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 20, Pages: 8
                Product

                SciELO Brazil

                Self URI: Full text available only in PDF format (EN)
                Categories
                Original Articles

                Diabetes mellitus,Cuidados primários de saúde,Socioeconomic factors,Hyperglycemia,Delivery of health care,Primary health care,Fatores socioeconômicos,Hiperglicemia,Prestação de cuidados de saúde

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