Research Data Quality Control: The Thai Epidemiologic Stroke (TES) Study
Keywords:
Quality control, Health survey, StrokeAbstract
Research data quality control is a process to ensure that collected data are high quality and reliable. Therefore, the Thai Epidemiologic Stroke (TES) Study has implemented this process to every step of the study. This article presented some parts of how to control the data quality of baseline health survey, that is, how to control staff performances, quality of blood test data and quality of body weight/height data. The analyses showed that baseline survey data were highly reliable. The overall staff performance errors were 1.2% and during the survey period, the percentage of the errors decreased over time. Bland-Altman plot revealed that beyond point (mean ± 1.96 SD.) was 5.9%, 3.1%, 3.8%, 4.6%, and 4.7% for glucose, triglyceride, cholesterol, HDL, and LDL, respectively. For calibration of weight measurement device with standard weights, the error was not beyond ± 0.2 kilograms. However, calibrating with standard steel rule, more than 50% of number of height measurement had an error of beyond ± 0.2 centimeters, especially at 100 centimeter level. These three parts of data quality control analyses provided information for early problem detection and solving which lead to high research data quality
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