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Medical decision makinga health economic primer /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical decision makingby Stefan Felder, Thomas Mayrhofer.
Reminder of title:	a health economic primer /
Author:	Felder, Stefan.
other author:	Mayrhofer, Thomas.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2022.
Description:	xxiv, 316 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	MedicineDecision making.
Online resource:	https://doi.org/10.1007/978-3-662-64654-0
ISBN:	9783662646540$q(electronic bk.)

Medical decision makinga health economic primer /
Felder, Stefan.

Medical decision makinga health economic primer /[electronic resource] :by Stefan Felder, Thomas Mayrhofer. - Third edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2022. - xxiv, 316 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Basic Tools in Medical Decision Making -- Chapter 3. Basic Tools in Economics: Preferences, Expected Utility, Risk Aversion and Prudence -- Chapter 4. Treatment Decisions -- Chapter 5. Test and Treatment Decisions -- Chapter 6. Prudence and Medical Decision Making -- Chapter 7. Optimal Strategy for Multiple Diagnostic Tests -- Chapter 8. The Optimal Cut-off of a Diagnostic Test -- Chapter 9. The Total Value of Information of a Test -- Chapter 10. The Economics of Medical Decision Making -- Chapter 11. Valuing Health and Life -- Chapter 12. Revealed Preference in Medical Decisions -- Chapter 13. Imperfect Agency and Non-Expected Utility Models.

This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making. This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.

ISBN: 9783662646540$q(electronic bk.)

Standard No.: 10.1007/978-3-662-64654-0doiSubjects--Topical Terms:

221008
Medicine
--Decision making.

LC Class. No.: R723.5 / .F45 2022

Dewey Class. No.: 610

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505 0 $a Chapter 1. Introduction -- Chapter 2. Basic Tools in Medical Decision Making -- Chapter 3. Basic Tools in Economics: Preferences, Expected Utility, Risk Aversion and Prudence -- Chapter 4. Treatment Decisions -- Chapter 5. Test and Treatment Decisions -- Chapter 6. Prudence and Medical Decision Making -- Chapter 7. Optimal Strategy for Multiple Diagnostic Tests -- Chapter 8. The Optimal Cut-off of a Diagnostic Test -- Chapter 9. The Total Value of Information of a Test -- Chapter 10. The Economics of Medical Decision Making -- Chapter 11. Valuing Health and Life -- Chapter 12. Revealed Preference in Medical Decisions -- Chapter 13. Imperfect Agency and Non-Expected Utility Models.
520 $a This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making. This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.
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