IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0206245.html
   My bibliography  Save this article

Knowledge about tuberculosis and infection prevention behavior: A nine city longitudinal study from India

Author

Listed:
  • Sophie Huddart
  • Thomas Bossuroy
  • Vincent Pons
  • Siddhartha Baral
  • Madhukar Pai
  • Clara Delavallade

Abstract

Background: Improving patients’ tuberculosis (TB) knowledge is a salient component of TB control strategies. Patient knowledge of TB may encourage infection prevention behaviors and improve treatment adherence. The purpose of this study is to examine how TB knowledge and infection prevention behaviors change over the course of treatment. Methods: A matched patient-health worker dataset (n = 6,031) of publicly treated TB patients with NGO-provided treatment support health workers was compiled in nine Indian cities from March 2013 to September 2014. At the beginning and end of TB treatment, patients were asked about their knowledge of TB symptoms, transmission, and treatment and infection prevention behaviors. Results: Patients beginning TB treatment (n = 3,424) demonstrated moderate knowledge of TB; 52.5% (50.8%, 54.2%) knew that cough was a symptom of TB and 67.2% (65.6%, 68.7%) knew that TB was communicable. Overall patient knowledge was significantly associated with literacy, education, and income, and was higher at the end of treatment than at the beginning (3.7%, CI: 3.02%, 4.47%). Infection prevention behaviors like covering a cough (63.4%, CI: 61.2%, 65.0%) and sleeping separately (19.3%, CI: 18.0%, 20.7%) were less prevalent. The age difference between patient and health worker as well as a shared language significantly predicted patient knowledge and adherence to infection prevention behaviors. Conclusions: Social proximity between health worker and patients predicted greater knowledge and adherence to infection prevention behaviors but the latter rate remains undesirably low.

Suggested Citation

  • Sophie Huddart & Thomas Bossuroy & Vincent Pons & Siddhartha Baral & Madhukar Pai & Clara Delavallade, 2018. "Knowledge about tuberculosis and infection prevention behavior: A nine city longitudinal study from India," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0206245
    DOI: 10.1371/journal.pone.0206245
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0206245
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0206245&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0206245?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
    2. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 15, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas Bossuroy & Clara Delavallade & Vincent Pons, 2019. "Biometric Tracking, Healthcare Provision, and Data Quality: Experimental Evidence from Tuberculosis Control," NBER Working Papers 26388, National Bureau of Economic Research, Inc.

    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. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    2. Neus Palomeras & David Wehrheim, 2021. "The strategic allocation of inventors to R&D collaborations," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 144-169, January.
    3. Lorenzo Cassi & Anne Plunket, 2015. "Research Collaboration in Co-inventor Networks: Combining Closure, Bridging and Proximities," Regional Studies, Taylor & Francis Journals, vol. 49(6), pages 936-954, June.
    4. Riccardo Crescenzi & Andrea Filippetti & Simona Iammarino, 2017. "Academic inventors: collaboration and proximity with industry," The Journal of Technology Transfer, Springer, vol. 42(4), pages 730-762, August.
    5. Corinne Autant-Bernard, 2015. "Que savons-nous de l’impact économique des parcs scientifiques ? Une revue de la littérature," Working Papers halshs-01211662, HAL.
    6. Lorenzo Cassi & Anne Plunket, 2010. "The determinants of co-inventor tie formation: proximity and network dynamics," Papers in Evolutionary Economic Geography (PEEG) 1015, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2010.
    7. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    8. Trent A. Engbers & Michael F. Thompson & Timothy F. Slaper, 2017. "Theory and Measurement in Social Capital Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 537-558, June.
    9. Nicholas Argyres & Luis A. Rios & Brian S. Silverman, 2020. "Organizational change and the dynamics of innovation: Formal R&D structure and intrafirm inventor networks," Strategic Management Journal, Wiley Blackwell, vol. 41(11), pages 2015-2049, November.
    10. Rehák Štefan & Hudec Oto & Buček Milan, 2013. "Path dependency and path plasticity in emerging industries: Two cases from Slovakia," ZFW – Advances in Economic Geography, De Gruyter, vol. 57(1-2), pages 52-66, October.
    11. Bahar, Dany & Choudhury, Prithwiraj & Rapoport, Hillel, 2020. "Migrant inventors and the technological advantage of nations," Research Policy, Elsevier, vol. 49(9).
    12. Avimanyu Datta, 2016. "Antecedents To Radical Innovations: A Longitudinal Look At Firms In The Information Technology Industry By Aggregation Of Patents," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-31, October.
    13. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    14. Qiliang Mao & Xianzhuang Mao, 2021. "Cultural barriers, institutional distance, and spatial spillovers: Evidence from regional industrial evolution in China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1440-1481, September.
    15. Vinayak, & Raghuvanshi, Adarsh & kshitij, Avinash, 2023. "Signatures of capacity development through research collaborations in artificial intelligence and machine learning," Journal of Informetrics, Elsevier, vol. 17(1).
    16. Yuchen Zhang & Wei Yang, 2022. "Breakthrough invention and problem complexity: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2510-2544, December.
    17. Elisabetta Lodigiani & Luca Marchiori & I-Ling Shen, 2016. "Revisiting the Brain Drain Literature with Insights from a Dynamic General Equilibrium World Model," The World Economy, Wiley Blackwell, vol. 39(4), pages 557-573, April.
    18. Mohammadi, Ali & Broström, Anders & Franzoni, Chiara, 2015. "Work Force Composition and Innovation: How Diversity in Employees’ Ethnical and Disciplinary Backgrounds Facilitates Knowledge Re-combination," Working Paper Series in Economics and Institutions of Innovation 413, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    19. Sylvain Dejean, 2020. "The role of distance and social networks in the geography of crowdfunding: evidence from France," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 329-339, March.
    20. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2013. "Endogeneous matching in university-industry collaboration: Theory and empirical evidence from the UK," Economics Working Papers 1379, Department of Economics and Business, Universitat Pompeu Fabra.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0206245. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.