IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2264-d505458.html
   My bibliography  Save this article

Assessing the Quality of Reporting to China’s National TB Surveillance Systems

Author

Listed:
  • Tao Li

    (National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    Contributed equally as first authors.)

  • Lijia Yang

    (National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    Contributed equally as first authors.)

  • Sarah E. Smith-Jeffcoat

    (Division of Global HIV and Tuberculosis, US Centers for Disease Control and Prevention, Atlanta, GA 30333, USA)

  • Alice Wang

    (Division of Global HIV and Tuberculosis, US Centers for Disease Control and Prevention, Atlanta, GA 30333, USA)

  • Hui Guo

    (Beijing Office, US Centers for Disease Control and Prevention, Beijing 100600, China)

  • Wei Chen

    (National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Xin Du

    (National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Hui Zhang

    (National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

Abstract

(1) Background: The reliability of disease surveillance may be restricted by sensitivity or ability to capture all disease. Objective: To quantify under-reporting and concordance of recording persons with tuberculosis (TB) in national TB surveillance systems: the Infectious Disease Reporting System (IDRS) and Tuberculosis Information Management System (TBIMS). (2) Methods: This retrospective review includes 4698 patients identified in 2016 in China. County staff linked TB patients identified from facility-specific health and laboratory information systems with records in IDRS and TBIMS. Under-reporting was calculated, and timeliness, concordance, accuracy, and completeness were analyzed. Multivariable logistic regression was used to examine factors associated with under-reporting. (3) Results: We found that 505 (10.7%) patients were missing within IDRS and 1451 (30.9%) patients were missing within TBIMS. Of 171 patient records reviewed in IDRS and 170 patient records in TBIMS, 12.3% and 6.5% were found to be untimely, and 10.7% and 7.1% were found to have an inconsistent home address. The risk of under-reporting to both IDRS and TBIMS was greatest at tertiary health facilities and among non-residents; the risk of under-reporting to TBIMS was greatest with patients aged 65 or older and with extrapulmonary TB (EPTB). (4) Conclusions: It is important to improve the reporting and recording of TB patients. Local TB programs that focus on training, and mentoring high-burden hospitals, facilities that cater to EPTB, and migrant patients may improve reporting and recording.

Suggested Citation

  • Tao Li & Lijia Yang & Sarah E. Smith-Jeffcoat & Alice Wang & Hui Guo & Wei Chen & Xin Du & Hui Zhang, 2021. "Assessing the Quality of Reporting to China’s National TB Surveillance Systems," IJERPH, MDPI, vol. 18(5), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2264-:d:505458
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2264/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/5/2264/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manjunath B Shankar & Rosa L Rodríguez-Acosta & Tyler M Sharp & Kay M Tomashek & Harold S Margolis & Martin I Meltzer, 2018. "Estimating dengue under-reporting in Puerto Rico using a multiplier model," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(8), pages 1-16, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adriana Zubieta-Zavala & Malaquias López-Cervantes & Guillermo Salinas-Escudero & Adrian Ramírez-Chávez & José Ramos Castañeda & Sendy Isarel Hernández-Gaytán & Juan Guillermo López Yescas & Luis Durá, 2018. "Economic impact of dengue in Mexico considering reported cases for 2012 to 2016," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(12), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2264-:d:505458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.