scholarly journals Active case finding among marginalised and vulnerable populations reduces catastrophic costs due to tuberculosis diagnosis

2018 ◽  
Vol 11 (1) ◽  
pp. 1494897 ◽  
Author(s):  
Hemant Deepak Shewade ◽  
Vivek Gupta ◽  
Srinath Satyanarayana ◽  
Atul Kharate ◽  
K.N. Sahai ◽  
...  
2021 ◽  
pp. 2100257
Author(s):  
Belén Saavedra ◽  
Edson Mambuque ◽  
Dinis Nguenha ◽  
Neide Gomes ◽  
Shilzia Munguane ◽  
...  

We present a field evaluation of the diagnostic accuracy of Xpert MTB/RIF (Xpert) and Xpert MTB/RIF Ultra (Ultra), using two cohorts in a high TB/HIV burden setting in Southern Mozambique. Single respiratory specimens from symptomatic adults accessing health care services (passive case finding (PCF) cohort), and from household and community close contacts (active case finding (ACF) cohort), were tested by smear microscopy, culture, Xpert and Ultra. Liquid and solid culture served as a composite reference standard. We explored trace results’ impact on specificity via their recategorisation to negative (in all and just among those previously treated individuals) A total of 1419 and 252 participants were enrolled in the PCF and ACF cohorts, respectively. For the PCF cohort, Ultra showed higher sensitivity than Xpert overall (0.95 (95% CI: 0.90, 0.98) versus 0.88 (0.82, 0.93); p<0.001) and among smear negative patients (0.63 (0.48, 0.76) and 0.84 (0.71, 0.93). Ultra's specificity was lower than Xpert's (0.98 (0.97, 0.99) versus 0.96 (0.95, 0.97); p=0.008). For ACF, sensitivities were the same (0.67 (95% CI: 0.22,0.96) for both tests), although Ultra detected a higher number of microbiologically confirmed samples than Xpert (4.7% (12/252) versus 2.7% (7/252)). Conditional recategorisation of trace results among previously treated participants maintained differences in specificity in the PCF cohort. These results add evidence on the improved sensitivity of Ultra and support its use in different case finding scenarios.


PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171310 ◽  
Author(s):  
Fukushi Morishita ◽  
Anna Marie Celina Gonzales Garfin ◽  
Woojin Lew ◽  
Kyung Hyun Oh ◽  
Rajendra-Prasad Yadav ◽  
...  

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 338
Author(s):  
Hemant Deepak Shewade ◽  
Vivek Gupta ◽  
Srinath Satyanarayana ◽  
Atul Kharate ◽  
Lakshmi Murali ◽  
...  

Background: In 2007, a field observation from India reported 11% misclassification among ‘new’ patients registered under the revised national tuberculosis (TB) control programme. Ten years down the line, it is important to know what proportion of newly registered patients has a past history of TB treatment. Methods: A study was conducted among new smear-positive pulmonary TB patients registered between March 2016 and February 2017 in 18 randomly selected districts to determine the effectiveness of an active case-finding strategy in marginalised and vulnerable populations. We included all patients detected through active case-finding. An equal number of randomly selected patients registered through passive case-finding from marginalised and vulnerable populations in the same districts were included. Before enrolment, we enquired about any history of previous TB treatment through interviews. Results: Of 629 patients, we interviewed 521, of whom, 11% (n=56) had past history of TB treatment (public or private) for at least a month: 13% (34/268) among the active case-finding group and 9% (22/253) among the passive case-finding group (p=0.18). No factors were found to be significantly associated with misclassification. Conclusion: Around one in every ten patients registered as ‘new’ had previous history of TB treatment. Corrective measures need to be implemented, followed by monitoring of any change in the proportion of ‘previously treated’ patients among all registered patients treated under the programme at national level.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0130179 ◽  
Author(s):  
Natalie Lorent ◽  
Kimcheng Choun ◽  
Shelly Malhotra ◽  
Pichenda Koeut ◽  
Sopheak Thai ◽  
...  

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 338
Author(s):  
Hemant Deepak Shewade ◽  
Vivek Gupta ◽  
Srinath Satyanarayana ◽  
Atul Kharate ◽  
Lakshmi Murali ◽  
...  

Background: In 2007, a field observation from India reported 11% misclassification among ‘new’ patients registered under the revised national tuberculosis (TB) control programme. Ten years down the line, it is important to know what proportion of newly registered patients has a past history of TB treatment for at least one month (henceforth called ‘misclassification’). Methods: A study was conducted among new smear-positive pulmonary TB patients registered between March 2016 and February 2017 in 18 randomly selected districts to determine the effectiveness of an active case-finding strategy in marginalised and vulnerable populations. We included all patients detected through active case-finding. An equal number of randomly selected patients registered through passive case-finding from marginalised and vulnerable populations in the same districts were included. Before enrolment, we enquired about any history of previous TB treatment through interviews. Results: Of 629 patients, we interviewed 521, of whom, 11% (n=56) had past history of TB treatment (public or private) for at least a month: 13% (34/268) among the active case-finding group and 9% (22/253) among the passive case-finding group (p=0.18). No factors were found to be significantly associated with misclassification. Conclusion: Around one in every ten patients registered as ‘new’ had previous history of TB treatment. Corrective measures need to be implemented, followed by monitoring of any change in the proportion of ‘previously treated’ patients among all registered patients treated under the programme at national level.


2021 ◽  
pp. 100776
Author(s):  
Flora Martinez Figueira Moreira ◽  
Renu Verma ◽  
Paulo Cesar Pereira dos Santos ◽  
Alessandra Leite ◽  
Andrea da Silva Santos ◽  
...  

Author(s):  
Zisimangelos Solomos ◽  
Chrisoula Botsi ◽  
Theano Georgakopoulou ◽  
Theodore Lytras ◽  
Sotirios Tsiodras ◽  
...  

2017 ◽  
Vol 82 (5) ◽  
pp. 813 ◽  
Author(s):  
Muhammad Amir Khan ◽  
Shirin Anil ◽  
Maqsood Ahmed ◽  
Ali Athar ◽  
Abdul Ghafoor ◽  
...  

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