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Gogichadze N, Sagrera A, Vicente JÁ, Millet JP, López-Seguí F, Vilaplana C. Cost-effectiveness of active tuberculosis screening among high-risk populations in low tuberculosis incidence countries: a systematic review, 2008 to 2023. Euro Surveill 2024; 29:2300614. [PMID: 38516785 PMCID: PMC11063676 DOI: 10.2807/1560-7917.es.2024.29.12.2300614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/15/2024] [Indexed: 03/23/2024] Open
Abstract
BackgroundIn countries with a low TB incidence (≤ 10 cases/100,000 population), active pulmonary tuberculosis (PTB) mostly affects vulnerable populations with limited access to healthcare. Thus, passive case-finding systems may not be successful in detecting and treating cases and preventing further transmission. Active and cost-effective search strategies can overcome this problem.AimWe aimed to review the evidence on the cost-effectiveness (C-E) of active PTB screening programmes among high-risk populations in low TB incidence countries.MethodsWe performed a systematic literature search covering 2008-2023 on PubMed, Embase, Center for Reviews and Dissemination, including Database of Abstracts of Reviews of Effects (DARE), National Health Services Economic Evaluation Database (NHS EED), Global Index Medicus and Cochrane Central Register of Controlled Trials (CENTRAL).ResultsWe retrieved 6,318 articles and included nine in this review. All included studies had an active case-finding approach and used chest X-ray, tuberculin skin test, interferon-gamma release assay and a symptoms questionnaire for screening. The results indicate that screening immigrants from countries with a TB incidence > 40 cases per 100,000 population and other vulnerable populations as individuals from isolated communities, people experiencing homelessness, those accessing drug treatment services and contacts, is cost-effective in low-incidence countries.ConclusionIn low-incidence countries, targeting high-risk groups is C-E. However, due to the data heterogenicity, we were unable to compare C-E. Harmonisation of the methods for C-E analysis is needed and would facilitate comparisons. To outline comprehensive screening and its subsequent C-E analysis, researchers should consider multiple factors influencing screening methods and outcomes.
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Affiliation(s)
- Nino Gogichadze
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute and Hospital (IGTP-HUGTIP), Badalona, Catalonia, Spain
- These authors contributed equally to the work and share the first authorship
- Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Catalonia, Spain
| | - Arnau Sagrera
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute and Hospital (IGTP-HUGTIP), Badalona, Catalonia, Spain
- These authors contributed equally to the work and share the first authorship
| | - José Ángel Vicente
- Research Group on Innovation, Health Economics and Digital Transformation (INEDIT), Institut de Recerca Germans Trias i Pujol, Badalona, Catalonia, Spain
- Fundació Lluita contra les Infeccions, Germans Trias i Pujol Research Institute and Hospital (IGTP-HUGTIP), Badalona, Catalonia, Spain
- Centre de Recerca en Economia de la Salut (CRES), Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Joan-Pau Millet
- Servei d'Epidemiologia, Agència de Salut Pública Barcelona (ASPB), Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Francesc López-Seguí
- Research Group on Innovation, Health Economics and Digital Transformation (INEDIT), Institut de Recerca Germans Trias i Pujol, Badalona, Catalonia, Spain
- Fundació Lluita contra les Infeccions, Germans Trias i Pujol Research Institute and Hospital (IGTP-HUGTIP), Badalona, Catalonia, Spain
- Centre de Recerca en Economia de la Salut (CRES), Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Cristina Vilaplana
- Unitat de Tuberculosi Experimental, Germans Trias i Pujol Research Institute and Hospital (IGTP-HUGTIP), Badalona, Catalonia, Spain
- Microbiology Department, Northern Metropolitan Clinical Laboratory, Hospital Universitari Germans Trias i Pujol, Badalona, Catalonia, Spain
- Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Catalonia, Spain
- Direcció Clínica Territorial de Malalties Infeccioses i Salut Internacional de Gerència Territorial Metropolitana Nord de l'Institut Català de la Salut, Badalona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
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