OP58 Testing Of A Multiple Criteria Decision Analysis Value Framework With Decision Makers Across Europe

2017 ◽  
Vol 33 (S1) ◽  
pp. 25-26
Author(s):  
Aris Angelis ◽  
Mark Linch ◽  
Gilberto Montibeller ◽  
Teresa Molina-Lopez ◽  
Anna Zawada ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Relative Weight ◽  
Value Theory ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
Model Assessment ◽  
Value Assessment ◽  
Therapeutic Impact ◽  
Trade Offs

INTRODUCTION:We test in practice a Multiple Criteria Decision Analysis (MCDA) framework for the value assessment of a set of therapeutic options for the indication of hormone relapsed metastatic prostate cancer (mPC) through a series of simulation exercises with the participation of decision makers from different Health Technology Assessment (HTA)/insurance agencies across Europe, including TLV (Sweden), AETSA (Andalusia-Spain), INAMI-RIZIV (Belgium) and AOTMiT (Poland). The drugs evaluated were abiraterone, cabazitaxel and enzalutamide.METHODS:Using a multi-attribute value theory framework, past research outcomes and literature findings, an mPC-specific value tree was constructed incorporating relevant concerns as criteria. By adopting the MACBETH approach the different drugs were scored against the criteria through the development of value functions, relative weights were assigned to the criteria using a swing weighting technique, scores and weights were combined using an additive aggregation technique, and sensitivity analysis of results was conducted. All stages were informed through the participation of a small group of experts from each HTA/insurance agency at a series of decision conferences taking place in each country.RESULTS:Value parameters considered spanned the dimensions of therapeutic impact, safety profile, innovation level and socioeconomic impact. Overall weighted preference value scores were produced reflecting the performance of the treatments against the criteria while considering their relative importance. Order of treatments’ rankings was identical across all agencies, with enzalutamide scoring highest and cabazitaxel lowest. Therapeutic impact criteria always produced the greatest relative weight. Hypothetical priority setting decisions were made based on “value-for-money” grounds through the use of “cost per unit of value” metrics by incorporating purchasing costs.CONCLUSIONS:The MCDA framework tested possesses a number of characteristics that could facilitate decision making, including the systematic and explicit incorporation of value trade-offs as part of model assessment and the transparency throughout all its stages. Therefore, it has the prospects to act as a practical evaluation tool for value assessment and communication during the HTA process.

scholarly journals Evaluating the Benefits of New Drugs in Health Technology Assessment Using Multiple Criteria Decision Analysis: A Case Study on Metastatic Prostate Cancer With the Dental and Pharmaceuticals Benefits Agency (TLV) in Sweden

2018 ◽  
Vol 3 (2) ◽  
pp. 238146831879621 ◽  
Author(s):  
Aris Angelis
Keyword(s):  
Prostate Cancer ◽  
Decision Analysis ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Health Technology ◽  
Value Theory ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis

Background. Multiple criteria decision analysis (MCDA) has been identified as a prospective methodology for assisting decision makers in evaluating the benefits of new medicines in health technology assessment (HTA); however, limited empirical evidence exists from real-world applications. Objective. To test in practice a recently developed MCDA methodological framework for HTA, the Advance Value Framework, in a proof-of-concept case study with decision makers. Methods. A multi-attribute value theory methodology was adopted applying the MACBETH questioning protocol through a facilitated decision-analysis modelling approach as part of a decision conference with four experts. Settings. The remit of the Swedish Dental and Pharmaceutical Benefits Agency (Tandvårds- och läkemedelsförmånsverket [TLV]) was adopted but in addition supplementary value dimensions were considered. Patients. Metastatic castrate-resistant prostate cancer patients were considered having received prior chemotherapy. Interventions. Abiraterone, cabazitaxel, and enzalutamide were evaluated as third-line treatments. Measurements. Participants’ value preferences were elicited involving criteria selection, options scoring, criteria weighting, and their aggregation. Results. Eight criteria attributes were finally included in the model relating to therapeutic impact, safety profile, socioeconomic impact, and innovation level with relative importance weights 44.5%, 33.3%, 14.8%, and 7.4% per cluster, respectively. Enzalutamide scored the highest overall weighted preference value score, followed by abiraterone and cabazitaxel. Dividing treatments’ overall weighted preference value scores by their costs derived “costs per unit of value” for ranking the treatments based on value-for-money grounds. Limitations. Study limitations included lack of comparative clinical effects across treatments and the small sample of participants. Conclusion. The Advance Value Framework has the prospects of facilitating the evaluation process in HTA and health care decision making; additional research is recommended to address technical challenges and optimize the use of MCDA for policy making.

scholarly journals Multiple criteria decision analysis for sanitation selection in South African municipalities

Water SA ◽  
2018 ◽  
Vol 44 (3 July) ◽  
Author(s):  
Frances Salisbury ◽  
Chris Brouckaert ◽  
Dave Still ◽  
Chris Buckley
Keyword(s):  
Decision Analysis ◽  
User Interfaces ◽  
Stakeholder Involvement ◽  
Value Theory ◽  
Multiple Criteria ◽  
Political Support ◽  
Multiple Criteria Decision Analysis ◽  
Sustainable Solutions ◽  
Basic Sanitation ◽  
Sanitation Systems

A multiple criteria decision analysis (MCDA) was developed for the selection of sanitation systems. This decision support system was aimed at assisting municipal engineers to design and implement sustainable solutions to meet a municipality’s obligation to provide free basic sanitation (FBS). Multi-attribute value theory (MAVT) was selected as the method most suited to the problem under consideration. Criteria which determine the sustainability of sanitation were selected from the literature and a spreadsheet-based MCDA with stakeholder and expert user interfaces was developed. Stakeholders determine the weighting of each indicator and expert users determine the values to be entered for the alternatives against each indicator. The partial values are aggregated using a weighted sum function. Research carried out into the implementation of FBS by the eThekwini Municipality that includes the city of Durban was analysed. This informed the allocation of indicator values to the sanitation alternatives under consideration: ventilated improved pit latrines (VIPs) and urine diversion dehydrating toilets (UDDTs). An innovative scenario analysis method was used to determine the effect of different weightings and/or values, representing changes in stakeholder involvement, resource recovery and political support for ecological sanitation. The MCDA was found to provide a guiding framework for municipal engineers in their efforts to implement sustainable sanitation. The process of deriving values for the MCDA is likely to prove even more useful than the overall value scores of the options under consideration.

SIGNED DISTANCED-BASED TOPSIS METHOD FOR MULTIPLE CRITERIA DECISION ANALYSIS BASED ON GENERALIZED INTERVAL-VALUED FUZZY NUMBERS

2011 ◽  
Vol 10 (06) ◽  
pp. 1131-1159 ◽  
Author(s):  
TING-YU CHEN
Keyword(s):  
Decision Analysis ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
Topsis Method ◽  
Order Preference ◽  
Priority Order ◽  
Interval Valued

The theory of interval valued fuzzy sets is very valuable for modeling impressions of decision makers. In addition, it gives ability to quantify the ambiguous nature of subjective judgments in an easy way. In this paper, by extending the technique for order preference by similarity to ideal solution (TOPSIS), it is proposed a useful method based on generalized interval valued trapezoidal fuzzy numbers (GITrFNs) for solving multiple criteria decision analysis (MCDA) problems. In view of complexity in handling sophisticated data of GITrFNs, this paper employs the concept of signed distances to establish a simple and effective MCDA method based on the main structure of TOPSIS. An algorithm based on TOPSIS method is established to determine the priority order of given alternatives by using properties of signed distances. Finally, the feasibility of the proposed method is illustrated by a practical example of supplier selection.

scholarly journals THEORIES ON COEFFICIENT OF VARIATION SCALES TRIANGLE AND NORMALIZATION OF DIFFERENT VARIABLES: A NEW MODEL IN DEVELOPMENT OF MULTIPLE CRITERIA DECISION ANALYSIS

2019 ◽  
Vol 11 (2) ◽  
pp. 283-295
Author(s):  
Saeed Alitaneh
Keyword(s):  
Decision Analysis ◽  
Coefficient Of Variation ◽  
Pairwise Comparison ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
New Approach ◽  
Qualitative Variables ◽  
Two Factors ◽  
Maximum Reliability

This paper is an attempt to solve various problems by the two factors of mean and standard deviation (SD) of variables, introducing coefficient of variation (CV) of data as the best option for prioritization, scaling, pairwise comparison and normalization of quantitative and qualitative variables. An algorithm was built based on a coefficient of variation scales triangle (CVST) consisting of natural numbers with coefficients of binomial expansion for each line, followed by new and independent grading and scaling. In view of the existing factors, the theory provides higher generalization and maximum reliability rates in comparison to other methods for multiple-criteria decision analysis (MCDA). On the other hand, in the normalization process of different variables (i.e. de-scalarization), a precise and infinite model was presented based on coefficient of variation scale triangle (multipurpose triangle), in such a way that decision makers could work with the software in a more convenient and precise manner. Therefore, the proposed theories may be considered as a new approach and definition in the valuation and progress of MCDA.

scholarly journals MEASURING TRADE-OFFS AMONG CRITERIA IN A BALANCED SCORECARD FRAMEWORK: POSSIBLE CONTRIBUTIONS FROM THE MULTIPLE CRITERIA DECISION ANALYSIS RESEARCH FIELD

2013 ◽  
Vol 14 (3) ◽  
pp. 433-447 ◽  
Author(s):  
Fernando A. F. Ferreira
Keyword(s):  
Decision Analysis ◽  
Balanced Scorecard ◽  
Evaluation Criteria ◽  
Harvard Business Review ◽  
Research Field ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
The Balanced Scorecard ◽  
Trade Offs ◽  
Key Factor

Claimed by the Harvard Business Review as one of the main innovations of recent decades in management systems, the Balanced Scorecard (BSC) has been widely studied and applied in different management contexts. However, despite recent progress and its undeniable merit, the BSC has its own shortcomings. As reported in the literature, it seems generally agreed that the way compensations between criteria within a BSC framework are calculated remains an open issue. Thus, one of the contributions of this study is to augment the theoretical discussion on the potentialities of the multiple criteria decision analysis (MCDA) approach to bring simplicity and transparency to the calculation of compensations (i.e. trade-offs) among evaluation criteria within a BSC framework. It seems important to underline that this paper builds on previous work and is not empirical research. However, it aims to extend the discussion to other (new) measurement contexts. We believe that the development and promotion of the integrated use of MCDA tools in BSC applications to measure trade-offs among evaluation criteria in the BSC framework can be a key factor in ensuring more successful implementations and uses of the BSC within firms.

Integrating Metacognitive and Psychometric Decision-Making Approaches for Bank Customer Loyalty Measurement

2016 ◽  
Vol 15 (04) ◽  
pp. 815-837 ◽  
Author(s):  
Marjan S. Jalali ◽  
Fernando A. F. Ferreira ◽  
João J. M. Ferreira ◽  
Ieva Meidutė-Kavaliauskienė
Keyword(s):  
Decision Making ◽  
Financial Crisis ◽  
Service Quality ◽  
Decision Analysis ◽  
Customer Loyalty ◽  
Cognitive Mapping ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
Trade Offs

Greater competition and the aftermath of the financial crisis have meant that banks are increasingly focused on improving service quality and achieving higher levels of customer loyalty. Doing so requires being able to identify, understand and measure the determinants of such loyalty, however; and given the variety of multi-faceted factors involved, and the interrelationships among them, this is a complex undertaking. This paper proposes and tests an integrated application of cognitive mapping and multiple criteria decision analysis (MCDA), thus combining metacognitive and psychometric decision-making approaches, to create a framework for the assessment of bank customer loyalty, which identifies its determinants and allows the trade-offs among them to be calculated. Practical advantages and limitations of our proposal are also discussed.

scholarly journals Development and Practical Application of a Multiple-Criteria Decision Analysis Framework on Respiratory Inhalers: Is It Always Useful in the MOH Malaysia Medicines Formulary Listing Context?

2021 ◽  
Vol 6 (1) ◽  
pp. 238146832199406
Author(s):  
Yee Vern Yong ◽  
Siti Hajar Mahamad Dom ◽  
Nurulmaya Ahmad Sa’ad ◽  
Rosliza Lajis ◽  
Faridah Aryani Md. Yusof ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Task Force ◽  
Additive Model ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
Expert Committee ◽  
Microsoft Excel ◽  
Economic Criterion ◽  
Published Evidence ◽  
Framework Development

Objectives. The current health technology assessment used to evaluate respiratory inhalers is associated with limitations that have necessitated the development of an explicit formulary decision-making framework to ensure balance between the accessibility, value, and affordability of medicines. This study aimed to develop a multiple-criteria decision analysis (MCDA) framework, apply the framework to potential and currently listed respiratory inhalers in the Ministry of Health Medicines Formulary (MOHMF), and analyze the impacts of applying the outputs, from the perspective of listing and delisting medicines in the formulary. Methods. The overall methodology of the framework development adhered to the recommendations of the ISPOR MCDA Emerging Good Practices Task Force. The MCDA framework was developed using Microsoft Excel 2010 and involved all relevant stakeholders. The framework was then applied to 27 medicines, based on data gathered from the highest levels of available published evidence, pharmaceutical companies, and professional opinions. The performance scores were analyzed using the additive model. The end values were then deliberated by an expert committee. Results. A total of eight main criteria and seven subcriteria were determined by the stakeholders. The economic criterion was weighted at 30%. Among the noneconomic criteria, “patient suitability” was weighted the highest. Based on the MCDA outputs, the expert committee recommended one potential medicine (out of three; 33%) be added to the MOHMF and one existing medicine (out of 24; 4%) be removed/delisted from the MOHMF. The other existing medicines remained unchanged. Conclusions. Although this framework was useful for deciding to add new medicines to the formulary, it appears to be less functional and impactful for the removal/delisting existing medicines from the MOHMF. The generalizability of this conclusion to other formulations remains to be confirmed.

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