Literature DB >> 26274871

Budget impact from the incorporation of positron emission tomography - computed tomography for staging lung cancers.

Aline Navega Biz1, Rosângela Caetano2.   

Abstract

OBJECTIVE: To estimate the budget impact from the incorporation of positron emission tomography (PET) in mediastinal and distant staging of non-small cell lung cancer.
METHODS: The estimates were calculated by the epidemiological method for years 2014 to 2018. Nation-wide data were used about the incidence; data on distribution of the disease's prevalence and on the technologies' accuracy were from the literature; data regarding involved costs were taken from a micro-costing study and from Brazilian Unified Health System (SUS) database. Two strategies for using PET were analyzed: the offer to all newly-diagnosed patients, and the restricted offer to the ones who had negative results in previous computed tomography (CT) exams. Univariate and extreme scenarios sensitivity analyses were conducted to evaluate the influence from sources of uncertainties in the parameters used.
RESULTS: The incorporation of PET-CT in SUS would imply the need for additional resources of 158.1 BRL (98.2 USD) million for the restricted offer and 202.7 BRL (125.9 USD) million for the inclusive offer in five years, with a difference of 44.6 BRL (27.7 USD) million between the two offer strategies within that period. In absolute terms, the total budget impact from its incorporation in SUS, in five years, would be 555 BRL (345 USD) and 600 BRL (372.8 USD) million, respectively. The costs from the PET-CT procedure were the most influential parameter in the results. In the most optimistic scenario, the additional budget impact would be reduced to 86.9 BRL (54 USD) and 103.8 BRL (64.5 USD) million, considering PET-CT for negative CT and PET-CT for all, respectively.
CONCLUSIONS: The incorporation of PET in the clinical staging of non-small cell lung cancer seems to be financially feasible considering the high budget of the Brazilian Ministry of Health. The potential reduction in the number of unnecessary surgeries may cause the available resources to be more efficiently allocated.

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Mesh:

Year:  2015        PMID: 26274871      PMCID: PMC4544594          DOI: 10.1590/S0034-8910.2015049005447

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


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Authors:  S S Gambhir; C K Hoh; M E Phelps; I Madar; J Maddahi
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9.  [Cost analysis of18F-FDG PET-CT from the perspective of the Brazilian Unified National Health System as healthcare provider: a study in a public healthcare center in Rio de Janeiro, Brazil].

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Review 10.  Practical issues in handling data input and uncertainty in a budget impact analysis.

Authors:  M J C Nuijten; T Mittendorf; U Persson
Journal:  Eur J Health Econ       Date:  2010-04-03
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