Can intensified tuberculosis case finding efforts at nutrition rehabilitation centers lead to pediatric case detection in Bihar, India?

2016 ◽  
Vol 63 (2) ◽  
pp. 137
Keyword(s):  
Case Finding ◽  
Case Detection ◽  
Pediatric Case ◽  
Tuberculosis Case ◽  
Rehabilitation Centers ◽  
Nutrition Rehabilitation

scholarly journals Can Intensified Tuberculosis Case Finding Efforts at Nutrition Rehabilitation Centers Lead to Pediatric Case Detection in Bihar, India?

2016 ◽  
Vol 04 (01) ◽  
pp. 46-54 ◽  
Author(s):  
Rajeev R. Pathak ◽  
Bal Krishna Mishra ◽  
Patrick K. Moonan ◽  
Sreenivas A. Nair ◽  
Ajay M. V. Kumar ◽  
...  
Keyword(s):  
Case Finding ◽  
Case Detection ◽  
Pediatric Case ◽  
Tuberculosis Case ◽  
Rehabilitation Centers ◽  
Nutrition Rehabilitation

scholarly journals Active Tuberculosis Case Finding in Port-au-Prince, Haiti: Experiences, Results, and Implications for Tuberculosis Control Programs

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Guesly J. Delva ◽  
Ingrid Francois ◽  
Cassidy W. Claassen ◽  
Darwin Dorestan ◽  
Barbara Bastien ◽  
...  
Keyword(s):  
Case Finding ◽  
Case Detection ◽  
Tuberculosis Case ◽  
Community Screening ◽  
Control Programs ◽  
Number Needed To Screen ◽  
Laboratory Services ◽  
Smear Negative ◽  
Hiv Negative

Background. Haiti has the highest tuberculosis (TB) prevalence in the Americas with 254 cases per 100,000 persons. Case detection relies on passive detection and TB services in many regions suffer from poor diagnostic and clinical resources.Methods.Mache Chache(“Go and Seek”) was a TB REACH Wave 3 funded TB case finding project in Port-au-Prince between July 2013 and September 2014, targeting four intervention areas with insufficient TB diagnostic performance.Results. Based on a verbal symptom screen emphasizing the presence of cough, the project identified 11,150 (11.75%) of all screened persons as TB subjects and 2.67% as smear-positive (SS+) TB cases. Enhanced case finding and strengthening of laboratory services led to a 59% increase in bacteriologically confirmed cases in the evaluation population. In addition, smear grades dropped significantly, suggesting earlier case detection. Xpert® MTB/RIF was successfully introduced and improved TB diagnosis in HIV-infected, smear-negative clinic patients, but not in HIV-negative, smear-negative TB suspects in the community. However, the number needed to screen for one additional SS+ case varied widely between clinic and community screening activities.Conclusion. Enhanced and active TB case finding in Haiti can improve TB diagnosis and care. However, screening algorithms have to be tailored to individual settings, necessitating long-term commitment.

scholarly journals Acceptability of active case finding with a seed-and-recruit model to improve tuberculosis case detection and linkage to treatment in Cambodia: A qualitative study

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0210919 ◽  
Author(s):  
Sovannary Tuot ◽  
Alvin Kuo Jing Teo ◽  
Danielle Cazabon ◽  
Say Sok ◽  
Mengieng Ung ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Case Finding ◽  
Case Detection ◽  
Active Case Finding ◽  
Tuberculosis Case ◽  
Active Case

scholarly journals Estimating the Impact of Tuberculosis Case Detection in Constrained Health Systems: An Example of Case-Finding in South Africa

2019 ◽  
Vol 188 (6) ◽  
pp. 1155-1164 ◽  
Author(s):  
Thomas Sumner ◽  
Fiammetta Bozzani ◽  
Don Mudzengi ◽  
Piotr Hippner ◽  
Rein M Houben ◽  
...  
Keyword(s):  
South Africa ◽  
Health Systems ◽  
Case Finding ◽  
Case Detection ◽  
Tuberculosis Case ◽  
The Impact

Utilizing chest X-ray based active case finding approach for early tuberculosis case detection in Pakistan

2019 ◽  
Author(s):  
Shifa Habib ◽  
Kiran Azeemi ◽  
S. M. Asad Zaidi ◽  
Wafa Jamal ◽  
Talha Kazmi ◽  
...  
Keyword(s):  
Case Finding ◽  
Case Detection ◽  
Active Case Finding ◽  
Tuberculosis Case ◽  
X Ray ◽  
Active Case ◽  
Chest X Ray

scholarly journals Impact of COVID-19 Pandemic on the Tuberculosis Case Findings of India: Exploration of the Magnitude of the Threats as Well as the Available Opportunity to Mitigate the Threats

2021 ◽  
Author(s):  
Abhijit Dey
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Open Source ◽  
Relevant Literature ◽  
Secondary Data ◽  
Integrated Approach ◽  
Secondary Data Analysis ◽  
Case Finding ◽  
Case Detection ◽  
Tuberculosis Case

Introduction: Due to COVID-19 pandemic, performance of many program has been declined and Tuberculosis (TB) program is not an exception. TB case detection and notification has been recognized as one of worst hit area. The objective of this study was to explore the TB notification status of India during this pandemic and explore options to mitigate the issue. Methods: A secondary data analysis was performed on open source TB notification database of India. Relevant literature review was done to find out remedies based on the different initiative taken by different states of India. Results: In 2020, total TB notification decreased in all the states in comparison to 2019. The percentage of loss in the country was 34%. Private TB notification also decreased in 2020 in all the states except in Jharkhand. The percentage of loss in private TB notification in the country was 35%. Notification started declining in the month of February 2020 and it was lowest in the month of April-2020. The trend of notification began to improve since May 2020 when the States started taking innovative initiatives like Integrated TB Covid Case Search. Conclusion: Due to the ongoing COVID-19 pandemic the notifications of TB cases declined noticeably which has a serious implication in terms of silent spread within household and community. But the picture can be improved with integrated approach for TB-COVID case finding and management.

scholarly journals Impact of COVID-19 Pandemic on the Tuberculosis Case Findings of India: Exploration of the Magnitude of the Threats as Well as the Available Opportunity to Mitigate the Threats

2021 ◽  
Author(s):  
Abhijit Dey ◽  
Arista Lahiri ◽  
Sweety Suman Jha ◽  
Arup Kumar Chakrabartty
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Open Source ◽  
Relevant Literature ◽  
Secondary Data ◽  
Integrated Approach ◽  
Secondary Data Analysis ◽  
Case Finding ◽  
Case Detection ◽  
Tuberculosis Case

Introduction: Due to COVID-19 pandemic, performance of many program has been declined and Tuberculosis (TB) program is not an exception. TB case detection and notification has been recognized as one of worst hit area. The objective of this study was to explore the TB notification status of India during this pandemic and explore options to mitigate the issue. Methods: A secondary data analysis was performed on open source TB notification database of India. Relevant literature review was done to find out remedies based on the different initiative taken by different states of India. Results: In 2020, total TB notification decreased in all the states in comparison to 2019. The percentage of loss in the country was 34%. Private TB notification also decreased in 2020 in all the states except in Jharkhand. The percentage of loss in private TB notification in the country was 35%. Notification started declining in the month of February 2020 and it was lowest in the month of April-2020. The trend of notification began to improve since May 2020 when the States started taking innovative initiatives like Integrated TB Covid Case Search. Conclusion: Due to the ongoing COVID-19 pandemic the notifications of TB cases declined noticeably which has a serious implication in terms of silent spread within household and community. But the picture can be improved with integrated approach for TB-COVID case finding and management.

scholarly journals Acceptability of active case finding with a seed-and-recruit model to improve tuberculosis case detection and linkage to treatment in Cambodia: a qualitative study

2019 ◽  
Author(s):  
Sovannary Tuot ◽  
Alvin Kuo Jing Teo ◽  
Danielle Cazabon ◽  
Say Sok ◽  
Mengieng Ung ◽  
...  
Keyword(s):  
Social Network ◽  
Qualitative Study ◽  
Local Community ◽  
Case Finding ◽  
Case Detection ◽  
Active Case Finding ◽  
Tuberculosis Case ◽  
Active Case ◽  
High Workload ◽  
Study Participants

AbstractBackgroundWith support of the national tuberculosis (TB) program, KHANA has implemented an innovative approach using a seed-and-recruit model to actively find TB cases in the community. The intervention engaged community members including TB survivors to recruit people with TB symptoms in a ‘snowball’ approach for screening and linkage to treatment. This study aims to explore the acceptability of active case finding with the seed-and-recruit model in detecting new TB cases and determine the characteristics of successful seeds.MethodsThis qualitative study was conducted in four provinces (Banteay Meanchey, Kampong Chhnang, Siem Reap, and Takeo) in Cambodia in 2017. Fifty six in-depth interviews and ten focus group discussions were conducted to gain insights into the acceptability, strengths, and challenges in implementing the model. Transcripts were coded and content analyses were performed.ResultsThe seed-and-recruit active case finding model was generally well-received by the study participants. They saw the benefits of engaging TB survivors and utilize their social network to find new TB cases in the community. The social embeddedness of the model within the local community was one of the major strengths. The success of the model also hinges on the integration with existing health facilities. Having extensive social network, being motivated, and having good knowledge about TB were important characteristics of successful seeds. Study participants reported challenges in motivating the recruits for screening, logistic capacities, and high workload during implementation. However, there was a general consensus that the model ought to be expanded.ConclusionsThese findings indicate that the seed-and-recruit model should be fine-tuned and scaled up as part of the national TB Program to increase TB new case detection in Cambodia. Further studies are needed to more comprehensively evaluate the impacts and cost-effectiveness of the model in Cambodia as well as in other resource-limited settings.

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