结核病监测最小数据集的筛选与结果分析

Study of screening of the minimum dataset for tuberculosis surveillance

摘要:
目的基于结核病监测工作现状，开展结核病监测最小数据集的研究。
方法采用德尔菲法确定结核病监测最小数据集的内容。
结果结核病监测最小数据集共有70个数据元，包括个人基本信息、病例报告信息、检验检测信息、流行病学调查信息、治疗用药信息和随访管理信息6部分内容。
结论构建的结核病监测最小数据集科学、合理，为规范结核病监测数据采集提供参考依据。

Abstract:
Objective Based on the status of Tuberculosis (TB) surveillance, the minimum dataset of TB surveillance was studied.
Methods The contents of the minimum dataset for TB surveillance were determined by Delphi method.
Results The dataset consisted of 70 data elements, including individual basic personal information, case report information, inspection and testing information, epidemiological investigation information, treatment and medication information and follow-up management information.
Conclusion The minimum data set for TB surveillance is scientific and reasonable, which can be used to provide reference basis for standardizing TB surveillance data collection.