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Impacto orçamentário da incorporação do GeneXpert MTB/RIF para o diagnóstico da tuberculose pulmonar na perspectiva do Sistema Único de Saúde, Brasil, 2013-2017

Overview of attention for article published in Cadernos de saude publica, October 2017
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Title
Impacto orçamentário da incorporação do GeneXpert MTB/RIF para o diagnóstico da tuberculose pulmonar na perspectiva do Sistema Único de Saúde, Brasil, 2013-2017
Published in
Cadernos de saude publica, October 2017
DOI 10.1590/0102-311x00214515
Pubmed ID
Authors

Márcia Ferreira Teixeira Pinto, Ricardo Steffen, Aline Entringer, Ana Carolina Carioca da Costa, Anete Trajman

Abstract

The study aimed to estimate the budget impact of GeneXpert MTB/RIF for diagnosis of tuberculosis from the perspective of the Brazilian National Program for Tuberculosis Control, drawing on a static model using the epidemiological method, from 2013 to 2017. GeneXpert MTB/RIF was compared with two diagnostic sputum smear tests. The study used epidemiological, population, and cost data, exchange rates, and databases from the Brazilian Unified National Health System. Sensitivity analysis of scenarios was performed. Incorporation of GeneXpert MTB/RIF would cost BRL 147 million (roughly USD 45 million) in five years and would have an impact of 23 to 26% in the first two years and some 11% between 2015 and 2017. The results can support Brazilian and other Latin American health administrators in planning and managing the decision on incorporating the technology.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Ph. D. Student 4 15%
Student > Master 3 12%
Researcher 3 12%
Other 1 4%
Other 3 12%
Unknown 8 31%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Social Sciences 2 8%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Psychology 1 4%
Other 3 12%
Unknown 14 54%