7 research outputs found
Analysis of prevalence, risk factors, and potential costs of unnecessary drug therapy in patients with chronic diseases at the outpatient setting
Topical corticosteroids in infants: prescribing pattern and prescribing errors in Bahrain
Potentially inappropriate medications use and its association with health-related quality of life among elderly cardiac patients
No apparent association between lecture attendance or accessing lecture recordings and academic outcomes in a medical laboratory science course
What are patient factors associated with the quality of diabetes care?: results from the Korean National Health and Nutrition Examination Survey
<p>Abstract</p> <p>Background</p> <p>Recently there has been a growing interest in healthcare quality control in Korea. We examined the association between patient factors and quality indicators of diabetic care among Korean adults with diabetes.</p> <p>Methods</p> <p>We obtained a sample of 335 adults aged 20 or older diagnosed with diabetes from the 2005 Korean National Health and Nutrition Examination Survey. Patient factors were divided into two categories: socioeconomic position and health-related factors. Quality indicators for diabetes care were defined as receiving preventive care services for diabetes complications (e.g., fundus examination, microalbuminuria examination, diabetes education) and diabetes-related clinical outcomes (e.g., HbA1c, blood pressure, LDL-cholesterol). We performed multiple logistic regression analyses for each quality indicator.</p> <p>Results</p> <p>We found that people with lower education levels or shorter duration of diabetes illness were less likely to receive preventive care services for diabetes complications. Women or people with longer duration of diabetes were less likely to reach the glycemic target. Obese diabetic patients were less likely to accomplish adequate control of blood pressure and LDL-cholesterol.</p> <p>Conclusions</p> <p>Several factors of patients with diabetes, such as education level, duration of illness, gender, and obesity grade are associated with the quality of diabetes care. These findings can help inform policy makers about subpopulations at risk in developing a public health strategy in the future.</p