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From Where Are Tuberculosis Patients Accessing Treatment in India? Results from a Cross-Sectional Community Based Survey of 30 Districts

Author

Listed:
  • Srinath Satyanarayana
  • Sreenivas Achutan Nair
  • Sarabjit Singh Chadha
  • Roopa Shivashankar
  • Geetanjali Sharma
  • Subhash Yadav
  • Subrat Mohanty
  • Vishnuvardhan Kamineni
  • Nevin Charles Wilson
  • Anthony David Harries
  • Puneet Kumar Dewan

Abstract

Background: Tuberculosis (TB) notification in India by the Revised National TB Control Programme (RNTCP) provides information on TB patients registered for treatment from the programme. There is limited information about the proportion of patients treated for TB outside RNTCP and where these patients access their treatment. Objectives: To estimate the proportion of patients accessing TB treatment outside the RNTCP and to identify their basic demographic characteristics. Methods: A cross sectional community-based survey in 30 districts. Patients were identified through a door-to-door survey and interviewed using a semi-structured questionnaire. Results: Of the estimated 75,000 households enumerated, 73,249 households (97.6%) were visited. Of the 371,174 household members, 761 TB patients were identified (∼205 cases per 100,000 populations). Data were collected from 609 (80%) TB patients of which 331 [54% (95% CI: 42–66%)] were determined to be taking treatment ‘under DOTS/RNTCP’. The remaining 278 [46% (95% CI: 34–57%)] were on treatment from ‘outside DOTS/RNTCP’ sources and hence were unlikely to be part of the TB notification system. Patients who were accessing treatment from ‘outside DOTS/RNTCP’ were more likely to be patients from rural areas [adjusted Odds Ratio (aOR) 2.5, 95% CI (1.2–5.3)] and whose TB was diagnosed in a non-government health facility (aOR 14.0, 95% CI 7.9–24.9). Conclusions: This community-based survey found that nearly half of self-reported TB patients were missed by TB notification system in these districts. The study highlights the need for 1) Reviewing and revising the scope of the TB notification system, 2) Strengthening and monitoring health care delivery systems with periodic assessment of the reach and utilisation of the RNTCP services especially among rural communities, 3) Advocacy, communication and social mobilisation activities focused at rural communities with low household incomes and 4) Inclusive involvement of all health-care providers, especially providers of poor rural communities.

Suggested Citation

  • Srinath Satyanarayana & Sreenivas Achutan Nair & Sarabjit Singh Chadha & Roopa Shivashankar & Geetanjali Sharma & Subhash Yadav & Subrat Mohanty & Vishnuvardhan Kamineni & Nevin Charles Wilson & Antho, 2011. "From Where Are Tuberculosis Patients Accessing Treatment in India? Results from a Cross-Sectional Community Based Survey of 30 Districts," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
  • Handle: RePEc:plo:pone00:0024160
    DOI: 10.1371/journal.pone.0024160
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    References listed on IDEAS

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    1. William A Wells & Colin Fan Ge & Nitin Patel & Teresa Oh & Elizabeth Gardiner & Michael E Kimerling, 2011. "Size and Usage Patterns of Private TB Drug Markets in the High Burden Countries," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
    2. Niruparani Charles & Beena Thomas & Basilea Watson & Raja Sakthivel M. & Chandrasekeran V. & Fraser Wares, 2010. "Care Seeking Behavior of Chest Symptomatics: A Community Based Study Done in South India after the Implementation of the RNTCP," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-6, September.
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    1. Debashish Kundu & Nandini Sharma & Sarabjit Chadha & Samia Laokri & George Awungafac & Lai Jiang & Miqdad Asaria, 2018. "Analysis of multi drug resistant tuberculosis (MDR-TB) financial protection policy: MDR-TB health insurance schemes, in Chhattisgarh state, India," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    2. Stéphane Verguet & Ramanan Laxminarayan & Dean T. Jamison, 2015. "Universal Public Finance of Tuberculosis Treatment in India: An Extended Cost‐Effectiveness Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 318-332, March.
    3. Chandravali Madan & Kamal Kishore Chopra & Srinath Satyanarayana & Diya Surie & Vineet Chadha & Kuldeep Singh Sachdeva & Ashwani Khanna & Rajesh Deshmukh & Lopamudra Dutta & Amit Namdeo & Ajay Shukla , 2018. "Developing a model to predict unfavourable treatment outcomes in patients with tuberculosis and human immunodeficiency virus co-infection in Delhi, India," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-16, October.

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