Variation in the Numbers of Red Blood Cell Units Transfused at Different Medical Institution Types from 2006 to 2010 in Korea

BACKGROUND: This study aimed at assessing the number of red blood cell (RBC) units transfused at different types of medical institution and examining the characteristics of transfusion recipients. METHODS: We calculated and compared the number of transfusion recipients, total RBC units transfused, and RBC units transfused per recipient. Study data were extracted from insurance benefits reimbursement claims for RBC units at the Health Insurance Review & Assessment Service from 2006 to 2010. RESULTS: Between 2006 and 2010, the number of recipients of RBC units increased from 298,049 to 376,445, the number of RBC units transfused increased from 1,460,799 to 1,841,695, and the number of RBC units transfused per recipient changed from 4.90 to 4.89. The number of recipients aged > or =65 yr increased from 133,833 (44.9%) in 2006 to 196,127 (52.1%) in 2010. The highest number of RBC units was transfused to patients with neoplastic diseases (31.9%) and diseases of the musculoskeletal system and connective tissue (14.4%). More than 80% of the total number of RBC units were transfused at tertiary and general hospitals. However, this composition rate was slightly decreasing, with the composition rate for hospitals increasing from 12.6% to 16.3%. CONCLUSIONS: This study revealed an increase in the number of RBC units transfused over a 5-yr period due to an increase in the number of transfused recipients, especially recipients aged > or =65 yr; moreover, the number of RBC units transfused differed based on medical institution type. These results provide fundamental data on RBC transfusions required for future research.

Factors Affecting Diabetic Screening Behavior of Korean Adults: A Multilevel Analysis

PURPOSE: We investigated the role of individual and community level factors on diabetes screening test behavior. METHODS: We used individual-level data from 170,193 adults aged 30 years or older who were not diagnosed with diabetes and participated in the 2009 community health survey. Community-level data includes 253 communities and were collected from various national statistics. Multilevel logistic regression analysis was conducted. RESULTS: The rate of diabetes screening within the year prior to this study was 53.2%. Community variance of Model I, Model II and Model III was 0.236, 0.252 and 0.238, respectively. The proportional change in variance of Model II and Model III was -6.8% and -1.2%. The odds ratio for participation of diabetic screening of areas with bottom financial independence compared to areas with top was 0.84 (95% confidence interval, 0.74-0.96); the odds ratio of areas with top internist compared to areas with bottom was 1.15 (95% confidence interval, 1.01-1.31). CONCLUSION: This study identified a contextual effect influencing the participation of Korean adults in diabetes screening. It is necessary to develop specific policies that consider not only individual factors, but also community factors relating to individual behaviors to increase the likelihood of diabetes screening.

Factors Affecting the Validity of Self-Reported Data on Health Services from the Community Health Survey in Korea

PURPOSE: As a follow-up for the validity study of Community Health Surveys (CHSs), the purpose of this study was to evaluate the factors affecting the accuracy of CHSs by investigating subjects' characteristics. MATERIALS AND METHODS: We used data from 11,217 participants (aged 19 years or older) who had participated in the CHS, conducted by a local government in 2008 and analyzed the variables affecting the sensitivity and specificity of hospitalization and outpatient visit. RESULTS: Multivariate logistic regression analysis showed that, factors related with the sensitivity of hospitalization and outpatient visit questions were gender, age, marital status, chronic diseases, medical checkup, the subjective health status and necessary medical services. Factors related with the specificity were gender, marital status, educational background, chronic diseases, medical checkup, alcohol consumption, necessary medical services and sadness. CONCLUSION: This study revealed the subject-related factors associated with the validity of the CHS. Efforts to improve the sensitivity and the specificity from self-report questionnaires should consider how the characteristics of subjects may affect their responses.