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Practical Issues in Handling Data Input and Uncertainty in a Budget Impact Analysis by M. J. C. Nuijten; T. Mittendorf; U. Persson is a Economics, Econometrics and Finance article available to read on EtoBox.

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The objective of this paper was to address the importance of dealing systematically and comprehensively with uncertainty in a budget impact analysis (BIA) in more detail. The handling of uncertainty in health economics was used as a point of reference for addressing the uncertainty in a BIA. This overview shows that standard methods of sensitivity analysis, which are used for standard data set in a health economic model (clinical probabilities, treatment patterns, resource utilisation and prices/tariffs), cannot always be used for the input data for the BIA model beyond the health economic data set for various reasons. Whereas in a health economic model, only limited data may come from a Delphi panel, a BIA model often relies on a majority of data taken from a Delphi panel. In addition, the dataset in a BIA model also includes forecasts (e.g. annual growth, uptakes curves, substitution effects, changes in prescription restrictions and guidelines, future distribution of the available treatment modalities, off-label use). As a consequence, the use of standard sensitivity analyses for BIA data set might be limited because of the lack of appropriate distributions as data sources are li

Who reads Practical Issues in Handling Data Input and Uncertainty in a Budget Impact Analysis?

Author

M. J. C. Nuijten; T. Mittendorf; U. Persson

Publisher

Springer; Springer-Verlag; Springer Verlag; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1618-7598)

Published

2010

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)