Tuberculosis Department, International Union Against Tuberculosis and Lung Disease, Paris, France.
Int J Tuberc Lung Dis. 2011 Mar;15(3):296-304.
Any analysis is only as convincing as the quality of the underlying data. In this article, the role of data quality is exemplified by its impact on the interpretation of surveillance data, by operations research projects conducted in the training courses of the International Union Against Tuberculosis and Lung Disease, and the lessons learnt through them. It provides information why double-entry and validation of data are part of 'good clinical practice'. It is suggested how the efficiency of data entry can be maximized to reduce data entry time and data entry errors, so that psychological and physical barriers to double-entry are reduced.
任何分析的说服力都取决于基础数据的质量。本文通过监测数据解释的影响、国际防痨和肺病联合会培训课程中的运筹学项目及其经验教训来说明数据质量的作用。文中还介绍了为什么双录入和数据验证是“良好临床实践”的一部分，以及如何最大限度地提高数据录入效率，以减少数据录入时间和录入错误，从而降低双录入的心理和生理障碍。
