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Cost-Effectiveness of Community-Based Active Case Finding Strategy for Tuberculosis: Evidence From Shenzhen, China.

Authors :
Pei, Xingtong
Zhong, Tao
Yang, Chongguang
Sun, Li
Chen, Meiru
Xu, Mingming
Source :
Journal of Infectious Diseases. 6/15/2024, Vol. 229 Issue 6, p1866-1877. 12p.
Publication Year :
2024

Abstract

Background Active case finding (ACF) is a potentially promising approach for the early identification and treatment of tuberculosis patients. However, evidence on its cost-effectiveness, particularly in low- and middle-income countries, remains limited. This study evaluates the cost-effectiveness of a community-based ACF practice in Shenzhen, China. Methods We employed a Markov model-based decision analytic method to assess the costs and effectiveness of 3 tuberculosis detection strategies: passive case finding (PCF), basic ACF, and advanced ACF. The analysis was conducted from a societal perspective on a dynamic cohort over a 20-year horizon, focusing on active tuberculosis (ATB) prevalence and the incremental cost-effectiveness ratio (ICER). Results Compared to the PCF strategy, the basic and advanced ACF strategies effectively reduced ATB cases by 6.8 and 10.2 per 100 000 population, respectively, by the final year of this 20-year period. The ICER for the basic and advanced ACF strategies were ¥14 757 and ¥8217 per quality-adjusted life-year, respectively. Both values fell below the cost-effectiveness threshold. Conclusions Our findings indicate that the community-based ACF screening strategy, which targets individuals exhibiting tuberculosis symptoms, is cost-effective. This underscores the potential benefits of adopting similar community-based ACF strategies for symptomatic populations in tuberculosis-endemic areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221899
Volume :
229
Issue :
6
Database :
Academic Search Index
Journal :
Journal of Infectious Diseases
Publication Type :
Academic Journal
Accession number :
177905197
Full Text :
https://doi.org/10.1093/infdis/jiae024