RESUMO
The objective of this study is to investigate the association between socioeconomic status and diabetes prevalence. A population-based cross-sectional survey was conducted in Japan. The association between household income tertile, duration of education (<12, 12, >12 years), or occupation (blue collar, white collar) and diabetes prevalence were assessed in 6,197 participants using multivariable-adjusted logistic regression models. Blue collar occupation and middle household income were found to be associated with high prevalence of diabetes mellitus.
Assuntos
Diabetes Mellitus/epidemiologia , Diabetes Mellitus/etiologia , Escolaridade , Feminino , Humanos , Renda/estatística & dados numéricos , Japão/epidemiologia , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Ocupações/estatística & dados numéricos , Prevalência , População Rural/estatística & dados numéricos , Fatores SocioeconômicosRESUMO
BACKGROUND: The extent of clinical exposure needed to ensure quality care has not been well determined during internal medicine training. We aimed to determine the association between clinical exposure (number of cases seen), self- reports of clinical competence, and type of institution (predictor variables) and quality of care (outcome variable) as measured by clinical vignettes. METHODS: Cross-sectional study using univariate and multivariate linear analyses in 11 teaching hospitals in Japan. Participants were physicians-in-training in internal medicine departments. Main outcome measure was standardized t-scores (quality of care) derived from responses to five clinical vignettes. RESULTS: Of the 375 eligible participants, 263 (70.1%) completed the vignettes. Most were in their first (57.8%) and second year (28.5%) of training; on average, the participants were 1.8 years (range = 1-8) after graduation. Two thirds of the participants (68.8%) worked in university-affiliated teaching hospitals. The median number of cases seen was 210 (range = 10-11400). Greater exposure to cases (p = 0.0005), higher self-reports of clinical competence (p = 0.0095), and type of institution (p < 0.0001) were significantly associated with higher quality of care, using a multivariate linear model and adjusting for the remaining factors. Quality of care rapidly increased for the first 100 to 200 cases seen and tapered thereafter. CONCLUSION: The amount of clinical exposure and levels of self-reports of clinical competence, not years after graduation, were positively associated with quality of care, adjusting for the remaining factors. The learning curve tapered after about 200 cases.