Under-reporting of TB cases and associated factors: a case study in China.

Journal Article

BACKGROUND: Tuberculosis is a leading cause of death worldwide and has become a high global health priority. Accurate country level surveillance is critical to ending the pandemic. Effective routine reporting systems which track the course of the epidemic are vital in addressing TB. China, which has the third largest TB epidemic in the world and has developed a reporting system to help with the control and prevention of TB, this study examined its effectiveness in Eastern China. METHODS: The number of TB cases reported internally in two hospitals in Eastern China were compared to the number TB cases reported by these same hospitals in the national reporting systems in order to assess the accuracy of reporting. Qualitative data from interviews with key health officials and researcher experience using the TB reporting systems were used to identify factors affecting the accuracy of TB cases being reported in the national systems. RESULTS: This study found that over a quarter of TB cases recorded in the internal hospital records were not entered into the national TB reporting systems, leading to an under representation of national TB cases. Factors associated with underreporting included unqualified and overworked health personnel, poor supervision and accountability at local and national levels, and a complicated incohesive health information management system. CONCLUSIONS: This study demonstrates that TB in Eastern China is being underreported. Given that Eastern China is a developed province, one could assume similar problems may be found in other parts of China with fewer resources as well as many low- and middle-income countries. Having an accurate account of the number of national TB cases is essential to understanding the national and global burden of the disease and in managing TB prevention and control efforts. As such, factors associated with underreporting need to be addressed in order to reduce underreporting.

Full Text

Duke Authors

Cited Authors

  • Zhou, D; Pender, M; Jiang, W; Mao, W; Tang, S

Published Date

  • December 11, 2019

Published In

Volume / Issue

  • 19 / 1

Start / End Page

  • 1664 -

PubMed ID

  • 31829147

Pubmed Central ID

  • 31829147

Electronic International Standard Serial Number (EISSN)

  • 1471-2458

Digital Object Identifier (DOI)

  • 10.1186/s12889-019-8009-1

Language

  • eng

Conference Location

  • England