Multiple Criteria Decision Analysis Software

Weistroffer, Heinz Roland; Li, Yan

doi:10.1007/978-1-4939-3094-4_29

Cited by 33 publications

(20 citation statements)

References 55 publications

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“…Several comprehensive descriptions of the steps involved in conducting MCDA have been published [5,11], and there are many MCDA software available for supporting these steps [48,49]. An overview of the main steps involved in conducting an MCDA is presented in Table 2.…”

Section: An Overview Of Steps In Conducting An Mcdamentioning

confidence: 99%

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

et al. 2016

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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.

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Section: An Overview Of Steps In Conducting An Mcdamentioning

confidence: 99%

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

et al. 2016

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“…EVIDEM, STAR, SMART and Prioritisation Framework provide free access to their full version, which were developed specifically to assess healthcare decisions. M-MACBETH, 1000minds and Visual PROMETHEE are general-purpose commercial software that have also been implemented in other fields [39]. In all the MCDA software identified, the inputs are used to define aspects such as criteria, weights, alternatives and scores;…”

Section: Discussionmentioning

confidence: 99%

“…For an overview of MCDA tools in other fields, and to assess their usefulness for healthcare, we point the readers towards the key studies that review MCDA software [18,[46][47][48][49]. These include the study of Ishizaka…”

Section: Discussionmentioning

confidence: 99%

Multi-criteria Decision Analysis Software in Healthcare Priority Setting: A Systematic Review

2019

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Objective: To identify studies using Multi Criteria Decision Analysis (MCDA) software tools to support health prioritisation processes and to describe the technical capabilities of the MCDA software tools identified.Methods: First, a systematic literature review was conducted in Medline, Embase, Web of Science, Econlit and Cochrane databases in July 2019, to identify studies that have used MCDA software for priority setting in health-related problems. Second, the MCDA software tools found in the review were downloaded (full versions, where freely available, and trial versions otherwise) and tested to extract their key technical characteristics. Results: Nine studies were included, from which seven different software: 1000minds, M-MACBETH, Socio Technical Allocation of Resources (STAR), Strategic Multi-Attribute Ranking Tool (SMART), Visual PROMETHEE, EVIDEM and Prioritisation Framework were identified. These software tools differed in terms of the operating systems (including web interface), MCDA technique(s) available for use, visualization features and the capability to perform Value for Money (VfM) and sensitivity analyses. Conclusions:The use of MCDA software in prioritization processes has a number of advantages such as inclusion of several types of stakeholders, ability to analyse a greater number of alternatives and criteria and perform real time sensitivity analyses. Proprietary software (i.e. software with licensing fees) seemed to have more features compared to freely available software. However, this field is still developing, with only a few studies where MCDA software was used to support health priority setting and opportunity costs not explicitly captured in many software.

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“…The main focus has been on the presentation of the methods and respective software themselves (see e.g. Weistroffer and Li ( 2016 ), Alinezhad and Khalili ( 2019 ) and Ishizaka and Nemery ( 2013 )). A recent article by Mustajoki and Marttunen ( 2017 ) compared 23 software for supporting environmental planning processes, and focused on their capability to support the different MCDA stages.…”

Section: Revisiting Uncertainty and Sensitivity Analysis In Cismentioning

confidence: 99%

“…In this paper, we propose a comparison of MCDA software for scoring and ranking with a specific focus on output variability, which has not been conducted so far, according to the authors’ knowledge. The MCDA software included in this review were selected from the available compendia (Baizyldayeva et al 2013 ; Ishizaka and Nemery 2013 ; Mustajoki and Marttunen 2017 ; Vassilev et al 2005 ; Weistroffer and Li 2016 ). The search also incorporated software listed in the dedicated web pages of MCDA societies (EWG-MCDA 2020 ; MCDM 2020 ; Oleson 2016 ).…”

Section: Revisiting Uncertainty and Sensitivity Analysis In Cismentioning

confidence: 99%

MCDA Index Tool: an interactive software to develop indices and rankings

Cinelli

Spada

Kim³

et al. 2020

Environ Syst Decis

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A web-based software, called MCDA Index Tool (https ://www.mcdai ndex.net/), is presented in this paper. It allows developing indices and ranking alternatives, based on multiple combinations of normalization methods and aggregation functions. Given the steadily increasing importance of accounting for multiple preferences of the decision-makers and assessing the robustness of the decision recommendations, this tool is a timely instrument that can be used primarily by non-multiple criteria decision analysis (MCDA) experts to dynamically shape and evaluate their indices. The MCDA Index Tool allows the user to (i) input a dataset directly from spreadsheets with alternatives and indicators performance, (ii) build multiple indices by choosing several normalization methods and aggregation functions, and (iii) visualize and compare the indices' scores and rankings to assess the robustness of the results. A novel perspective on uncertainty and sensitivity analysis of preference models offers operational solutions to assess the influence of different strategies to develop indices and visualize their results. A case study for the assessment of the energy security and sustainability implications of different global energy scenarios is used to illustrate the application of the MCDA Index Tool. Analysts have now access to an index development tool that supports constructive and dynamic evaluation of the stability of rankings driven by a single score while including multiple decision-makers' and stakeholders' preferences.

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Multiple Criteria Decision Analysis Software

Cited by 33 publications

References 55 publications

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

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

Multi-criteria Decision Analysis Software in Healthcare Priority Setting: A Systematic Review

MCDA Index Tool: an interactive software to develop indices and rankings

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