Revista Peruana de Medicina Experimental y Salud Publica
ISSN 1726-4634 versión impresa
SOLARI, Lely, GUTIERREZ, Alfonso, SUAREZ, Carmen et al. Análisis de costos de los métodos rápidos para diagnóstico de Tuberculosis multidrogorresistente en diferentes grupos epidemiológicos del Perú. Rev. perú. med. exp. salud publica, jul./set. 2011, vol.28, no.3, p.426-431. ISSN 1726-4634.
Objectives.To evaluate the costs of three methods for the diagnosis of drug susceptibility in tuberculosis, and to compare the cost per case of Multidrug-resistant tuberculosis (MDR TB) diagnosed with these (MODS, GRIESS and Genotype MTBDR plus ® in 4 epidemiologic groups in Peru. Materials and methods.In the basis of programmatic figures, we divided the population in 4 groups: new cases from Lima/Callao, new cases from other provinces, previously treated patients from Lima/Callao and previously treated from other provinces. We calculated the costs of each test with the standard methodology of the Ministry of Health, from the perspective of the health system. Finally, we calculated the cost per patient diagnosed with MDR TB for each epidemiologic group. Results. The estimated costs per test for MODS, GRIESS, and Genotype MTBDR plus® were 14.83. 15.51 and 176.41 nuevos soles respectively (the local currency, 1 nuevos sol=0.36 US dollars for August, 2011). The cost per patient diagnosed with GRIESS and MODS was lower than 200 nuevos soles in 3 out of the 4 groups. The costs per diagnosed MDR TB were higher than 2,000 nuevos soles with Genotype MTBDR plus ® in the two groups of new patients, and lower than 1,000 nuevos soles in the group of previously treated patients. Conclusions. In high-prevalence groups, like the previously treated patients, the costs per diagnosis of MDR TB with the 3 evaluated tests were low, nevertheless, the costs with the molecular test in the low- prevalence groups were high. The use of the molecular tests must be optimized in high prevalence areas.
Palabras llave: Diagnosis; Tuberculosis, multidrug-resistant; Health ecomomics; Peru.
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