Please use this identifier to cite or link to this item:
https://doi.org/10.1183/23120541.00368-2019
DC Field | Value | |
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dc.title | Mobilising community networks for early identification of tuberculosis and treatment initiation in Cambodia: an evaluation of a seed-and-recruit model | |
dc.contributor.author | ALVIN TEO KUO JING | |
dc.contributor.author | KIESHA PREM | |
dc.contributor.author | Tuot, Sovannary | |
dc.contributor.author | Ork, Chetra | |
dc.contributor.author | Eng, Sothearith | |
dc.contributor.author | Pande, Tripti | |
dc.contributor.author | Chry, Monyrath | |
dc.contributor.author | HSU LI YANG | |
dc.contributor.author | YI SIYAN | |
dc.date.accessioned | 2020-05-08T03:34:18Z | |
dc.date.available | 2020-05-08T03:34:18Z | |
dc.date.issued | 2020-04 | |
dc.identifier.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 | |
dc.identifier.issn | 2312-0541 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/167838 | |
dc.description.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 | |
dc.publisher | European Respiratory Society (ERS) | |
dc.source | Elements | |
dc.type | Article | |
dc.date.updated | 2020-05-08T02:24:57Z | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.description.doi | 10.1183/23120541.00368-2019 | |
dc.description.sourcetitle | ERJ Open Research | |
dc.description.volume | 6 | |
dc.description.issue | 2 | |
dc.description.page | 00368-2019 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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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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