| Literature DB >> 27002523 |
Gilberto Sánchez-González1, Alejandro Figueroa-Lara2,3, Miguel Elizondo-Cano4, Leslie Wilson5, Barbara Novelo-Garza6, Leopoldo Valiente-Banuet7, Janine M Ramsey8.
Abstract
An estimated 2 million inhabitants are infected with Chagas disease in Mexico, with highest prevalence coinciding with highest demographic density in the southern half of the country. After vector-borne transmission, Trypanosoma cruzi is principally transmitted to humans via blood transfusion. Despite initiation of serological screening of blood donations or donors for T. cruzi since 1990 in most Latin American countries, Mexico only finally included mandatory serological screening nationwide in official Norms in 2012. Most recent regulatory changes and segmented blood services in Mexico may affect compliance of mandatory screening guidelines. The objective of this study was to calculate the incremental cost-effectiveness ratio for total compliance of current guidelines from both Mexican primary healthcare and regular salaried worker health service institutions: the Secretary of Health and the Mexican Institute for Social Security. We developed a bi-modular model to analyze compliance using a decision tree for the most common screening algorithms for each health institution, and a Markov transition model for the natural history of illness and care. The incremental cost effectiveness ratio based on life-years gained is US$ 383 for the Secretary of Health, while the cost for an additional life-year gained is US$ 463 for the Social Security Institute. The results of the present study suggest that due to incomplete compliance of Mexico's national legislation during 2013 and 2014, the MoH has failed to confirm 15,162 T. cruzi infections, has not prevented 2,347 avoidable infections, and has lost 333,483 life-years. Although there is a vast difference in T. cruzi prevalence between Bolivia and Mexico, Bolivia established mandatory blood screening for T.cruzi in 1996 and until 2002 detected and discarded 11,489 T. cruzi -infected blood units and prevented 2,879 potential infections with their transfusion blood screening program. In the first two years of Mexico's mandated program, the two primary institutions failed to prevent due to incomplete compliance more potential infections than those gained from the first five years of Bolivia's program. Full regulatory compliance should be clearly understood as mandatory for the sake of blood security, and its monitoring and analysis in Mexico should be part of the health authority's responsibility.Entities:
Mesh:
Year: 2016 PMID: 27002523 PMCID: PMC4803194 DOI: 10.1371/journal.pntd.0004528
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Decision trees used to simulate blood screening for MoH and IMSS scenarios.
Scenarios and decision tree model parameters, for each health institution.
| Institution | Scenarios | Variable | Value | Source of data |
| Ministry of Health | First scenario | Proportion of blood screened | 40% | [ |
| Proportion of | 39% | [ | ||
| Second scenario | Proportion of blood screened | 100% | [ | |
| Proportion of | 100% | [ | ||
| Indirect immunofluorescence (Architect Abbott) | ||||
| Screening tests | Specificity | 99.90% | [ | |
| Sensitivity | 96.60% | [ | ||
| Cost* | 57 | [ | ||
| Crude antigen ELISA (Chagatest Wiener Lab) | ||||
| Specificity | 98.90% | [ | ||
| Sensitivity | 98.90% | [ | ||
| Cost | 3.19 | [ | ||
| Recombinant antigen ELISA (ChagasScreen Plus) | ||||
| Specificity | 98.70% | [ | ||
| Sensitivity | 99.30% | [ | ||
| Cost | 6.5 | [ | ||
| Confirmatory tests | Indirect Hemagglutination Test (Interbiol) | |||
| Specificity | 99.90% | [ | ||
| Sensitivity | 99.90% | [ | ||
| Cost | 39.4 | [ | ||
| Crude antigen ELISA (Chagatest Wiener Lab) | ||||
| Specificity | 98.90% | [ | ||
| Sensitivity | 98.90% | [ | ||
| Cost | 3.19 | [ | ||
| Western Blot (bioMérieux) | ||||
| Specificity | 97.30% | [ | ||
| Sensitivity | 100% | [ | ||
| Cost | 174 | [ | ||
| Mexican Social Security Institute | First scenario | Proportion of blood screened | 87% | [ |
| Proportion of | 99% | [ | ||
| Second scenario | Proportion of blood screened | 100% | [ | |
| Proportion of | 100% | [ | ||
| Screening tests | Chemiluminescence (PRISM Abbott) | |||
| Specificity | 99.80% | [ | ||
| Sensitivity | 99.90% | [ | ||
| Cost | 3.1 | [ | ||
| Recombinant antigen ELISA (ChagasScreen Plus) | ||||
| Specificity | 98.70% | [ | ||
| Sensitivity | 99.30% | [ | ||
| Cost | 6.5 | [ | ||
| Confirmatory test | Lysate ELISA (BioChile Chagas ELISA II), | |||
| Specificity | 95.30% | [ | ||
| Sensitivity | 99.30% | [ | ||
| Cost* | 3.1 | [ | ||
| Parameters of the population and infectivity | ||||
| Variable | Value | Source of data | ||
| Chagas prevalence | 0.0123 | [ | ||
| Average age of donors | 33 | [ | ||
| Average age of recipients | 45 | [ | ||
| Probability of infection due to an infected blood unit | 0.18 | [ | ||
Fig 2General structure of the Markov model with all clinically important events and transition pathways, from one state to another.
Average total cost and confidence interval (95%) for 100,000 blood donations per cost category, health institution, and coverage scenario.
| Cost category (2014 US$) | |||||
|---|---|---|---|---|---|
| Cost for screening and confirmatory tests | Healthcare and labor cost of detected cases | Healthcare and labor cost of undetected cases | Blood cost | Total costs | |
| Secretary of Health | |||||
| First scenario (status quo) | 183,749 (154,389–225,596) | 4,263,546 (4,050,369–4,476,723) | 14,606,282 (7,303,141–21,909,423) | 4,185,537 (2,092,768–6,278,305) | 23,239,114 (13,600,667–32,890,048) |
| Second scenario (100%) | 580,996 (502,457–679,544) | 26,502,135 (23,851,921–29,152,348) | 360,982 (180,491–541,473) | 4,185,537 (2,092,768–6,278,305) | 31,629,649 (26,627,637–36,651,669) |
| Mexican Social Security Institute | |||||
| First scenario (status quo) | 2,528,453 (2,507,545–2,548,013) | 23,494,602 (22,319,872–24,669,332) | 2,586,275 (1,293,138–3,879,413) | 4,185,537 (2,092,768–6,278,305) | 32,794,867 (28,213,323–37,375,062) |
| Second scenario (100%) | 2,906,269 (2,900,173–2,912,068) | 26,978,175 (24,280,357–29,675,992) | 313,719 (156,860–470,579) | 4,185,537 (2,092,768–6,278,305) | 34,383,700 (29,430,159–39,336,944) |
Average effectiveness and confidence interval (95%) per 100,000 blood donors and incremental cost-effectiveness ratio (ICER) according to health institution and coverage scenario.
All costs in 2014 US$.
| Effectiveness category | ICER | ||||
|---|---|---|---|---|---|
| Number of confirmed case (range) | New | Life years gained due to diagnosis (range) | Cost per detected case | Cost per year of life gained | |
| MoH | |||||
| First scenario (status quo) | 190 (181–201) | 157 (141–174) | 4,195 (3,992–4,412) | 54,483 (52,312–57,084) | 383(325–401) |
| Second scenario (100%) | 1,185 (1,067–1,304) | 3 (0–5) | 26,079 (23,463–28,677) | ||
| IMSS | |||||
| First scenario (status quo) | 1,050 (998–1,103) | 30 (29–32) | 23,119 (21,945–24,255) | 56,744 (53,962–59,426) | 463(420–493) |
| Second scenario (100%) | 1,206 (1,085–1,327) | 2 (0–5) | 26,547 (23,879–29,185) | ||
Fig 3Acceptability curve for the willingness to pay per a year of life gained and per detected case for each alternative.