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Economic Burden of Tuberculosis in India
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Sample details

This study aimed to assess the financial burden of tuberculosis (TB) treatment across diverse population groups, including slum dwellers and tea garden workers, through a cohort of 1,482 drug-susceptible and multidrug-resistant (MDR-TB) TB patients recruited from Assam, Maharashtra, Tamil Nadu, and West Bengal in India. Participants were recruited in 2019 from public health facilities using government registers.. The cohort includes both drug-susceptible TB patients, who were interviewed at three time points- during the intensive phase (0 to 2 months), at the end of the continuation phase (5 to 6 months), and six months post-treatment and MDR-TB patients, who were interviewed at the start of the intensive phase (1 to 3 months), during the continuation phase (6 to 12 months), and at the end of treatment (24 months).

Study design
Cohort, Cohort - clinical

Number of participants at first data collection

1,482 (participants)

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Patients and clinical populations
Tuberculosis patients
Dataset details

Country

India

Year of first data collection

2019

Primary Institutions

The George Institute for Global Health (GIGH)

Links

georgeinstitute.org/projects/economic-burden-of-tuberculosis-in-india

georgeinstitute.org/news-and-media/news/new-study-reveals-alarming-economic-burden-of-tuberculosis-treatment-in-india

georgeinstitute.org/sites/default/files/documents/research-brief-rconomic-burden-tuberculosis-india-2024.pdf

Funders

Department of Biotechnology (DBT)

Government of India

Wellcome Trust

Ongoing?
No

Data types collected

dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Finances
    Health expenditure
    Healthcare costs
    Infectious disease
    Rural areas
    Socioeconomics
    Treatment experiences and outcomes
    Tuberculosis
    Urban
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