Value of Information for Healthcare Decision-Making

Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research.

Authors

Kunst, N.

Wilson, E. C.

Tuffaha, H.

Jackson, C.

Welton, N. J.

Jalal, H.

Alarid-Escudero, F

Published

January 1, 2024

Recommended citation

Kunst, N., Wilson, E. C., Tuffaha, H., Jackson, C., Welton, N. J., Jalal, H., & Alarid-Escudero, F. (2024). Value of Information: Success Stories. In Value of Information for Healthcare Decision-Making (pp. 193-206). Chapman and Hall/CRC.

Copied!

@incollection{kunst2024value,
  title={Value of Information: Success Stories},
  author={Kunst, Natalia and Wilson, Edward CF and Tuffaha, Haitham and Jackson, Christopher and Welton, Nicky J and Jalal, Hawre and Alarid-Escudero, Fernando},
  booktitle={Value of Information for Healthcare Decision-Making},
  pages={193--206},
  year={2024},
  publisher={Chapman and Hall/CRC}
}

Copied!

%0 Book Section
%T Value of Information: Success Stories
%A Kunst, Natalia
%A Wilson, Edward CF
%A Tuffaha, Haitham
%A Jackson, Christopher
%A Welton, Nicky J
%A Jalal, Hawre
%A Alarid-Escudero, Fernando
%B Value of Information for Healthcare Decision-Making
%P 193-206
%D 2024
%I Chapman and Hall/CRC

Copied!

TY  - CHAP
T1  - Value of Information: Success Stories
A1  - Kunst, Natalia
A1  - Wilson, Edward CF
A1  - Tuffaha, Haitham
A1  - Jackson, Christopher
A1  - Welton, Nicky J
A1  - Jalal, Hawre
A1  - Alarid-Escudero, Fernando
T2  - Value of Information for Healthcare Decision-Making
SP  - 193
EP  - 206
Y1  - 2024
PB  - Chapman and Hall/CRC
ER  - 

Copied!

   

Published in:

Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research. These methods, and their use in cost-effectiveness analysis, are increasingly acknowledged by health technology assessment authorities as vital. Key Features: Provides a comprehensive overview of VOI Simplifies VOI Showcases state-of-the-art techniques for computing VOI Includes R statistical software package Provides results when using VOI methods Uses realistic decision model to illustrate key concepts The primary audience for this book is health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in health economic evaluations. It is relevant for postgraduate researchers and students in health economics or medical statistics who are required to learn the principles of VOI or undertake VOI analyses in their projects. The overall goal is to improve the understanding of these methods and make them easier to use.