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Implementing a New Tuberculosis Surveillance System in Zhejiang, Jilin and Ningxia: Improvements, Challenges and Implications for China's National Health Information System

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Publisher Biomed Central
Date 2021 Mar 22
PMID 33750465
Citations 4
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Abstract

Background: China is still faced with the public health challenge of tuberculosis (TB), and a robust surveillance system is critical for developing evidence-based TB control policies. The Tuberculosis Information Management System (TBIMS), an independent system launched in 2005, has encountered several challenges in meeting the current needs of TB control. The Chinese government also planned to establish the National Health Information System (NHIS) aggregating data in different areas. The China National Health Commission-Gates TB Project Phase III launched a new TB surveillance system to address these challenges and also as a pilot for the countrywide implementation of the NHIS. This commentary highlights the improvements and challenges in implementing the new TB system and also discusses the implications for the roll-out of the NHIS.

Main Text: The new TB surveillance system piloted in each prefecture of the project provinces was designed based on the local information system under the unified principle of organizing patient information under a unique ID and realizing the function of data exchange. Upon mid-2019, the data exchange successful rate reached almost 100%, and the system showed good performance in data completeness. Major improvements of the new system included achieving automatic data extraction instead of manual entry, assisting clinical service provision, and the augmented statistical functions. The major challenges in the implementation and scale-up of the new system were the licensing issue and the diversities of infrastructures that hinder the promotion of the new system at a low cost. This pilot also accumulated experiences for the roll-out of the NHIS regarding the technical solutions of reforming current information systems as well as effective training approaches for the developers and users of the new system.

Conclusions: The successful implementation of the new TB surveillance system in the three TB designated medical institutions demonstrated how the diverse infrastructures of the information system could be reformed to achieve the functions of automatic data extraction and data exchange and better cater to the needs of healthcare workers. This pilot also accumulated rich experiences and lessons learnt for developing technical solutions and personnel training for the scale-up of the NHIS.

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References
1.
Li T, Shewade H, Soe K, Rainey J, Zhang H, Du X . Under-reporting of diagnosed tuberculosis to the national surveillance system in China: an inventory study in nine counties in 2015. BMJ Open. 2019; 9(1):e021529. PMC: 6352759. DOI: 10.1136/bmjopen-2018-021529. View

2.
Huang F, Cheng S, Du X, Chen W, Scano F, Falzon D . Electronic recording and reporting system for tuberculosis in China: experience and opportunities. J Am Med Inform Assoc. 2013; 21(5):938-41. PMC: 4147602. DOI: 10.1136/amiajnl-2013-002001. View

3.
Mao W, Jiang W, Hamilton C, Zhang H, Huang F, Lucas H . Over- and under-treatment of TB patients in Eastern China: an analysis based on health insurance claims data. Trop Med Int Health. 2019; 24(9):1078-1087. PMC: 6851836. DOI: 10.1111/tmi.13287. View

4.
Wang N, Li T, Du X, Li Y, Sun M, Huan S . Effectiveness of the Integrated TB Surveillance System - China, 2018-2019. China CDC Wkly. 2021; 2(12):190-193. PMC: 8393169. View

5.
Zhou D, Pender M, Jiang W, Mao W, Tang S . Under-reporting of TB cases and associated factors: a case study in China. BMC Public Health. 2019; 19(1):1664. PMC: 6907198. DOI: 10.1186/s12889-019-8009-1. View