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Multi-criteria decision analysis to support healthcare decisions

Author: Kevin Marsh; Mireille Goetghebeur; P Thokala; Rob Baltussen
Publisher: Cham, Switzerland : Springer, 2017.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use of multi-criteria decision analysis (MCDA) in healthcare. The first section of the collection presents the foundations of MCDA as it is applied to healthcare decisions, providing guidance on the ethical and theoretical  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Multi-criteria decision analysis to support healthcare decisions.
Cham, Switzerland : Springer, 2017
(OCoLC)958355486
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Kevin Marsh; Mireille Goetghebeur; P Thokala; Rob Baltussen
ISBN: 9783319475400 3319475401
OCLC Number: 983465931
Description: 1 online resource (vi, 329 pages) : illustrations (some color)
Contents: Chapter 1: Introduction; 1.1 Introduction; 1.2 Process of Developing the Book; 1.3 Outline of the Book; 1.4 Future Direction; References; Part I: Foundations of MCDA in Healthcare; Chapter 2: Theoretical Foundations of MCDA; 2.1 Introduction; 2.2 Principles of MCDA and Decision-Making; 2.3 Problem Structuring; 2.4 Model Building; 2.4.1 Value Measurement; 2.4.1.1 Multi-attribute Value Theory; 2.4.1.2 Multi-Attribute Utility Theory (MAUT); 2.4.1.3 Analytic Hierarchy Process; 2.4.2 Outranking; 2.4.3 Goal Programming; 2.5 Concluding Remarks; References. Chapter 3: Identifying Value(s): A Reflection on the Ethical Aspects of MCDA in Healthcare Decisionmaking3.1 Introduction; 3.2 Who Should Decide? Legitimacy of Decisions and Representativeness of MCDA Users; 3.3 How to Decide?; 3.3.1 Step 1: Defining the Decision Problem; 3.3.2 Step 2: Selecting and Structuring Criteria; 3.3.2.1 Patient; 3.3.2.2 Population; 3.3.2.3 Healthcare Systems; 3.3.2.4 Knowledge and Context; 3.3.3 Step 3 of MCDA: Weighting Criteria; 3.3.4 Step 4 of MCDA: Providing Evidence to Measure Performance. 3.3.5 Step 5: Scoring the Criteria to Evaluate Performance of the Intervention3.3.6 Step 6: Aggregating Data for Ranking, Investing, and Disinvesting; 3.3.7 Step 7: Dealing with Uncertainty; 3.3.8 Step 8: Reporting Results, Deliberation, Decision, Communication, and Implementation; 3.4 Conclusion; References; Chapter 4: Incorporating Preferences and Priorities into MCDA: Selecting an Appropriate Scoring and Weighting Technique; 4.1 Introduction; 4.2 Overview of Weighting and Scoring Techniques; 4.2.1 Direct Rating; 4.2.2 Keeney-Raiffa MCDA; 4.2.2.1 Construction of Partial Value Functions. 4.2.2.2 Swing Weighting4.2.3 Pairwise Comparison Using Ordinal Scales (Analytic Hierarchy Process); 4.2.4 Discrete Choice Experiment; 4.3 Which Scoring and Weighting Techniques Are Most Appropriate?; 4.3.1 'Validity' of Scores and Weights; 4.3.1.1 Do Scores Display Interval Properties?; 4.3.1.2 Do Weights Reflect Scaling Constant or Trade-Offs?; 4.3.2 Cognitive Burden on Stakeholders; 4.3.3 Interpreting the Outputs from MCDA; 4.3.4 Practical Challenges; 4.4 Discussion; References; Chapter 5: Dealing with Uncertainty in the Analysis and Reporting of MCDA; 5.1 Introduction. 5.1.1 Problem Structuring5.1.2 Uncertainty in Problem Structuring; 5.2 Uncertainty in Scoring; 5.2.1 Performance Estimates; 5.2.2 From Performance to Value; 5.3 Uncertainty in Weighting; 5.4 Aggregation Methods; 5.5 Sensitivity Analysis; 5.6 Summary and Conclusions; References; Part II: Applications and Case Studies; Chapter 6: Supporting the Project Portfolio Selection Decision of Research and Development Investments by Means of Multi-Criteria Resource Allocation Modelling; 6.1 Introduction; 6.2 Case Study and Method; 6.2.1 Case Study.
Responsibility: Kevin Marsh, Mireille Goetghebeur, Praveen Thokala, Rob Baltussen, editors.

Abstract:

Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use  Read more...

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