Literature DB >> 31627776

Mobile community-based active case-finding for tuberculosis among older populations in rural Cambodia.

O Camelique1, S Scholtissen1, J-P Dousset1, M Bonnet2, M Bastard3, C Hewison1.   

Abstract

OBJECTIVE: To systematically screen older rural populations in Cambodia for tuberculosis (TB) and develop an effective active case-finding (ACF) model for this TB high-risk group.
DESIGN: A retrospective study using routinely collected programmatic data on community-based ACF among people aged ≥55 years using TB symptoms and systematic chest radiography (CXR) screening, followed by Xpert® MTB/RIF testing for participants with positive screening results and TB culture for certain Xpert-negative specimens.
RESULTS: Of 22 101 participants included in the analysis, 7469 (33.8%) were screening-positive and 5960 (27.0%) underwent Xpert testing. Pulmonary TB was identified in 482 (2.2%) individuals: 288 (1.3%) were bacteriologically confirmed (253 using Xpert, 35 using culture) and 194 (0.9%) were clinically diagnosed. Eighty-seven people needed to be screened in order to diagnose one Xpert-positive case. Among the Xpert-positive cases, only 31.6% (80/253) reported cough ≥2 weeks, and 39.9% (101/253) were asymptomatic but had a CXR suggestive of active TB. Treatment uptake was 97.3% (469/482), and treatment success was 88.0% (424/482).
CONCLUSIONS: Community-based ACF was effective in detecting and successfully treating older TB patients, most of whom might otherwise have remained undiagnosed. Mobile CXR appears to be crucial in identifying a high number of asymptomatic, bacteriologically confirmed cases.

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Year:  2019        PMID: 31627776     DOI: 10.5588/ijtld.18.0611

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  6 in total

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Journal:  Trop Med Infect Dis       Date:  2020-12-10

2.  Community-based TB testing as an essential part of TB recovery plans in the COVID-19 era.

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3.  Economic Evaluation of Community Tuberculosis Active Case-Finding Approaches in Cambodia: A Quasi-Experimental Study.

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4.  Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis.

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5.  Prevalence of TB and health-seeking behaviour.

Authors:  N Conan; E Simons; L Ohler; M Mbatha; G van Cutsem; H Huerga
Journal:  Int J Tuberc Lung Dis       Date:  2022-05-01       Impact factor: 3.427

6.  Identifying barriers and facilitators to implementation of community-based tuberculosis active case finding with mobile X-ray units in Lima, Peru: a RE-AIM evaluation.

Authors:  Courtney M Yuen; Daniela Puma; Ana Karina Millones; Jerome T Galea; Christine Tzelios; Roger I Calderon; Meredith B Brooks; Judith Jimenez; Carmen Contreras; Tim C Nichols; Tom Nicholson; Leonid Lecca; Mercedes C Becerra; Salmaan Keshavjee
Journal:  BMJ Open       Date:  2021-07-07       Impact factor: 2.692

  6 in total

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