Literature DB >> 26797229

Multiple Criteria Decision Analysis for Health Care Decision Making--An Introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force.

Praveen Thokala1, Nancy Devlin2, Kevin Marsh3, Rob Baltussen4, Meindert Boysen5, Zoltan Kalo6, Thomas Longrenn7, Filip Mussen8, Stuart Peacock9, John Watkins10, Maarten Ijzerman11.   

Abstract

Health care decisions are complex and involve confronting trade-offs between multiple, often conflicting, objectives. Using structured, explicit approaches to decisions involving multiple criteria can improve the quality of decision making and a set of techniques, known under the collective heading multiple criteria decision analysis (MCDA), are useful for this purpose. MCDA methods are widely used in other sectors, and recently there has been an increase in health care applications. In 2014, ISPOR established an MCDA Emerging Good Practices Task Force. It was charged with establishing a common definition for MCDA in health care decision making and developing good practice guidelines for conducting MCDA to aid health care decision making. This initial ISPOR MCDA task force report provides an introduction to MCDA - it defines MCDA; provides examples of its use in different kinds of decision making in health care (including benefit risk analysis, health technology assessment, resource allocation, portfolio decision analysis, shared patient clinician decision making and prioritizing patients' access to services); provides an overview of the principal methods of MCDA; and describes the key steps involved. Upon reviewing this report, readers should have a solid overview of MCDA methods and their potential for supporting health care decision making.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  MCDA; decision making; health care; multiple criteria decision analysis

Mesh:

Year:  2016        PMID: 26797229     DOI: 10.1016/j.jval.2015.12.003

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  136 in total

1.  Issues in the Design of Discrete Choice Experiments.

Authors:  Richard Norman; Benjamin M Craig; Paul Hansen; Marcel F Jonker; John Rose; Deborah J Street; Brendan Mulhern
Journal:  Patient       Date:  2019-06       Impact factor: 3.883

Review 2.  Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects.

Authors:  M A Alsalem; A A Zaidan; B B Zaidan; M Hashim; O S Albahri; A S Albahri; Ali Hadi; K I Mohammed
Journal:  J Med Syst       Date:  2018-09-19       Impact factor: 4.460

3.  Personalizing Second-Line Type 2 Diabetes Treatment Selection: Combining Network Meta-analysis, Individualized Risk, and Patient Preferences for Unified Decision Support.

Authors:  Sung Eun Choi; Seth A Berkowitz; John S Yudkin; Huseyin Naci; Sanjay Basu
Journal:  Med Decis Making       Date:  2019-02-15       Impact factor: 2.583

4.  A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis.

Authors:  Devin Incerti; Jeffrey R Curtis; Jason Shafrin; Darius N Lakdawalla; Jeroen P Jansen
Journal:  Pharmacoeconomics       Date:  2019-06       Impact factor: 4.981

Review 5.  Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.

Authors:  K I Mohammed; A A Zaidan; B B Zaidan; O S Albahri; M A Alsalem; A S Albahri; Ali Hadi; M Hashim
Journal:  J Med Syst       Date:  2019-06-11       Impact factor: 4.460

6.  Feasibility of Measuring Preferences for Chemotherapy Among Early-Stage Breast Cancer Survivors Using a Direct Rank Ordering Multicriteria Decision Analysis Versus a Time Trade-Off.

Authors:  Laura Panattoni; Charles E Phelps; Tracy A Lieu; Stacey Alexeeff; Suzanne O'Neill; Jeanne S Mandelblatt; Scott D Ramsey
Journal:  Patient       Date:  2020-10       Impact factor: 3.883

7.  Incorporating Quantitative Patient Preference Data into Healthcare Decision Making Processes: Is HTA Falling Behind?

Authors:  David John Mott
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

Review 8.  A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best-Worst Scaling for Eliciting Preferences in Healthcare.

Authors:  Jennifer A Whitty; Ana Sofia Oliveira Gonçalves
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

9.  Talkin' About a Resolution: Issues in the Push for Greater Transparency of Medicine Prices.

Authors:  Brendan Shaw; Jorge Mestre-Ferrandiz
Journal:  Pharmacoeconomics       Date:  2020-02       Impact factor: 4.981

10.  Could or Should We Use MCDA in the French HTA Process?

Authors:  Salah Ghabri; Jean-Michel Josselin; Benoît Le Maux
Journal:  Pharmacoeconomics       Date:  2019-12       Impact factor: 4.981

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