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https://doi.org/10.1183/23120541.00368-2019
Title: | Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model | Authors: | ALVIN TEO KUO JING KIESHA PREM Tuot, Sovannary Ork, Chetra Eng, Sothearith Pande, Tripti Chry, Monyrath HSU LI YANG YI SIYAN |
Issue Date: | Apr-2020 | Publisher: | European Respiratory Society (ERS) | Citation: | ALVIN TEO KUO JING, KIESHA PREM, Tuot, Sovannary, Ork, Chetra, Eng, Sothearith, Pande, Tripti, Chry, Monyrath, HSU LI YANG, YI SIYAN (2020-04). Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model. ERJ Open Research 6 (2) : 00368-2019. ScholarBank@NUS Repository. https://doi.org/10.1183/23120541.00368-2019 | Abstract: | Background and objectives: The effects of active case finding (ACF) models that mobilise community networks for early identification and treatment of tuberculosis (TB) remain unknown. We investigated and compared the effect of community-based ACF using a seed-and-recruit model with one-off roving ACF and passive case finding (PCF) on the time to treatment initiation and identification of bacteriologically confirmed TB. Methods: In this retrospective cohort study conducted in 12 operational districts in Cambodia, we assessed relationships between ACF models and: 1) the time to treatment initiation using Cox proportional hazards regression; and 2) the identification of bacteriologically confirmed TB using modified Poisson regression with robust sandwich variance. Results: We included 728 adults with TB, of whom 36% were identified via the community-based ACF using a seed-and-recruit model. We found community-based ACF using a seed-and-recruit model was associated with shorter delay to treatment initiation compared to one-off roving ACF (hazard ratio 0.81, 95% CI 0.68–0.96). Compared to one-off roving ACF and PCF, community-based ACF using a seed-andrecruit model was 45% (prevalence ratio (PR) 1.45, 95% CI 1.19–1.78) and 39% (PR 1.39, 95% CI 0.99–1.94) more likely to find and detect bacteriologically confirmed TB, respectively. Conclusion: Mobilising community networks to find TB cases was associated with early initiation of TB treatment in Cambodia. This approach was more likely to find bacteriologicall | Source Title: | ERJ Open Research | URI: | https://scholarbank.nus.edu.sg/handle/10635/167838 | ISSN: | 2312-0541 | DOI: | 10.1183/23120541.00368-2019 |
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Teo, 2020-supplementary-material-1.pdf | Supporting information | 672.97 kB | Adobe PDF | OPEN | Published | View/Download |
Teo, 2020, Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia--an evaluation of a seed-and-recruit model.pdf | Published version | 463.88 kB | Adobe PDF | OPEN | Published | View/Download |
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