Literature DB >> 17694580

Presenting results of probabilistic sensitivity analysis: the incremental benefit curve.

Mohan V Bala1, Gary A Zarkin, Josephine Mauskopf.   

Abstract

Cost-effectiveness acceptability curves have become a common way of presenting the results of probabilistic sensitivity analysis. However, these curves do not provide information on what the loss of welfare or net benefit (NB) is for cases where a given intervention is not the optimal one. We describe an alternate approach to presenting the results of probabilistic sensitivity analysis called the incremental benefit curve that presents the entire distribution of incremental NB of each intervention for a given WTP value. The incremental benefit curve provides the decision maker information regarding the potential welfare loss with a given intervention for scenarios in which it is not the optimal intervention, and thus would be a useful complement to the acceptability curve.

Mesh:

Year:  2008        PMID: 17694580     DOI: 10.1002/hec.1274

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  3 in total

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Journal:  Eur J Health Econ       Date:  2014-01-04

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Journal:  Pharmacoeconomics       Date:  2011-07       Impact factor: 4.981

3.  Methods for Communicating the Impact of Parameter Uncertainty in a Multiple-Strategies Cost-Effectiveness Comparison.

Authors:  Henri B Wolff; Venetia Qendri; Natalia Kunst; Fernando Alarid-Escudero; Veerle M H Coupé
Journal:  Med Decis Making       Date:  2022-05-19       Impact factor: 2.749

  3 in total

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