Study of screening of the minimum dataset for tuberculosis surveillance

  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.