Literature DB >> 21396345

Economic evaluation of Chagas disease screening of pregnant Latin American women and of their infants in a non endemic area.

Elisa Sicuri1, José Muñoz, Maria Jesús Pinazo, Elizabeth Posada, Joan Sanchez, Pedro L Alonso, Joaquim Gascon.   

Abstract

Migration is a channel through which Chagas disease is imported, and vertical transmission is a channel through which the disease is spread in non-endemic countries. This study presents the economic evaluation of Chagas disease screening in pregnant women from Latin America and in their newborns in a non endemic area such as Spain. The economic impact of Chagas disease screening is tested through two decision models, one for the newborn and one for the mother, against the alternative hypothesis of no screening for either the newborn or the mother. Results show that the option "no test" is dominated by the option "test". The cost effectiveness ratio in the "newborn model" was 22€/QALYs gained in the case of screening and 125€/QALYs gained in the case of no screening. The cost effectiveness ratio in the "mother model" was 96€/QALYs gained in the case of screening and 1675€/QALYs gained in the case of no screening. Probabilistic sensitivity analysis highlighted the reduction of uncertainty in the screening option. Threshold analysis assessed that even with a drop in Chagas prevalence from 3.4% to 0.9%, a drop in the probability of vertical transmission from 7.3% to 2.24% and with an increase of screening costs up to €37.5, "test" option would still be preferred to "no test". The current study proved Chagas screening of all Latin American women giving birth in Spain and of their infants to be the best strategy compared to the non-screening option and provides useful information for health policy makers in their decision making process.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21396345     DOI: 10.1016/j.actatropica.2011.02.012

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  33 in total

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