scholarly journals Bringing state-of-the-art diagnostics to vulnerable populations: The use of a mobile screening unit in active case finding for tuberculosis in Palawan, the Philippines

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 ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
State Of The Art ◽  
The Philippines ◽  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Screening Unit ◽  
Mobile Screening

scholarly journals Are we missing ‘previously treated’ smear-positive pulmonary tuberculosis under programme settings in India? A cross-sectional study

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 338
Author(s):  
Hemant Deepak Shewade ◽  
Vivek Gupta ◽  
Srinath Satyanarayana ◽  
Atul Kharate ◽  
Lakshmi Murali ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Past History ◽  
National Level ◽  
Previous History ◽  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Tb Treatment ◽  
History Of ◽  
Previously Treated

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.

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 ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Tuberculosis Diagnosis

scholarly journals Are we missing ‘previously treated’ smear-positive pulmonary tuberculosis under programme settings in India? A cross-sectional study

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 338
Author(s):  
Hemant Deepak Shewade ◽  
Vivek Gupta ◽  
Srinath Satyanarayana ◽  
Atul Kharate ◽  
Lakshmi Murali ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Past History ◽  
National Level ◽  
Previous History ◽  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Tb Treatment ◽  
History Of ◽  
Previously Treated

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.

scholarly journals The Presence of Cough and Tuberculosis: Active Case Finding Outcomes in the Philippines

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Siwon Lee ◽  
Lincoln Lau ◽  
Krisha Lim ◽  
Jansel Ferma ◽  
Warren Dodd ◽  
...  
Keyword(s):  
Low Income ◽  
Physical Symptoms ◽  
The Philippines ◽  
Case Finding ◽  
Health Staff ◽  
Active Case Finding ◽  
Multilevel Regression ◽  
Active Case ◽  
Symptom Screening ◽  
Multilevel Regression Model

The results of a tuberculosis (TB) active case finding (ACF) program, implemented by International Care Ministries (ICM) in the Philippines, were examined to understand how the presence of physical symptoms might influence ACF outcomes among extreme low-income Filipinos. ICM health staff implemented symptom screening in villages and suspected cases were referred to the closest rural health unit (RHU) for TB testing. ACF was carried out in Mindanao and the Visayas, across 16 different provinces. All participants were interviewed pre/postprogram, and screening outcomes were collected. A multilevel regression model was constructed to explore the effect of factors on the likelihood of getting tested. A total of 4635 individuals were screened; 1290 (27.8%) were symptom positive and referred. From those referred, 336 (7.2%) were tested for TB and 53 (1.1%) were TB positive. “Cough for more than two weeks” was associated with a 1.09 (95% CI 1.01, 1.15) times increase in likelihood of getting tested. The finding that the presence of cough is associated with higher rate of testing suggests that individuals in these settings might not know or believe that the lack of cough does not equate to lack of TB infection. While technologies and screening algorithms give us the ability to refine the ‘supply’ side of the TB screening, addressing the knowledge gap should improve ‘demand’.

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