Beyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisal
Metadatos
Mostrar el registro completo del ítemAutor
Epstein, David MarkEditorial
Wiley
Materia
Cost‐effectiveness acceptability curve Decision-making Decision model Health technology Rank probabilities
Fecha
2019Referencia bibliográfica
Epstein, D. (2019). Beyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisal. Health economics, 28(6), 801-807.
Resumen
The cost‐effectiveness acceptability curve (CEAC) shows the probability that an
option ranks first for net benefit. Where more than two options are under consideration,
the CEAC offers only a partial picture of the decision uncertainty.
This paper discusses the appropriateness of showing the full set of rank probabilities
for reporting the results of economic evaluation in multiple technology
appraisal (MTA). A case study is used to illustrate the calculation of rank probabilities
and associated metrics, based on Monte Carlo simulations from a decision
model. Rank probabilities are often used to show uncertainty in the results
of network meta‐analysis, but until now have not been used for economic evaluation.
They may be useful decision‐making tools to complement the CEAC in
specific MTA contexts.