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Scientific article
Open access
English

Evaluating tuberculosis treatment outcomes in Haiti from 2018 to 2019 : A competing risk analysis

Published inIJID regions, vol. 11, 100350
Publication date2024-06
First online date2024-03-13
Abstract

Objectives: This study assesses tuberculosis (TB) treatment outcomes in Haiti.

Methods: Data from drug-susceptible patients with TB (2018-2019) were analyzed using the Fine & Gray model with multiple imputation.

Results: Of the 16,545 patients, 14.7% had concurrent HIV coinfection, with a 66.2% success rate. The median treatment duration was 5 months, with patients averaging 30 years (with an interquartile range of 22-42 years). The estimated hazard of achieving a successful treatment outcome decreased by 2.5% and 8.1% for patients aged 45 and 60 years, respectively, compared with patients aged 30 years. Male patients had a 6.5% lower estimated hazard of success than their female counterparts. In addition, patients coinfected with HIV experienced a 35.3% reduction in the estimated hazard of achieving a successful treatment outcome compared with those with a negative HIV serologic status.

Conclusions: Integrated health care approaches should be implemented, incorporating innovative solutions, such as machine learning algorithms combined with geographic information systems and non-conventional data sources (including social media), to identify TB hotspots and high-burden households.

eng
Keywords
  • Competing risk
  • Improved tuberculosis management
  • Lower- and middle-income countries
  • TB treatment outcomes
  • Treatment duration and demographics
Citation (ISO format)
RAPHAEL, Nernst-Atwood et al. Evaluating tuberculosis treatment outcomes in Haiti from 2018 to 2019 : A competing risk analysis. In: IJID regions, 2024, vol. 11, p. 100350. doi: 10.1016/j.ijregi.2024.03.005
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ISSN of the journal2772-7076
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Technical informations

Creation05/23/2024 9:16:42 AM
First validation06/11/2024 9:12:00 AM
Update time06/11/2024 9:12:00 AM
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