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Concept: Multi-criteria decision analysis

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BACKGROUND: The evidence on public health interventions has traditionally focussed on a limited number of costs and benefits, adopted inconsistent methods and is not always relevant to the UK context. This paper develops a multi-criteria decision analysis (MCDA) approach to overcome these challenges. METHODS: A document review and stakeholder consultation was used to identify interventions and the criteria against which they should be assessed. The interventions were measured against these criteria using literature reviews and decision models. Criteria weights were generated using a discrete choice experiment. RESULTS: Fourteen interventions were included in the final ranking. Taxation was ranked as the highest priority. Mass-media campaigns and brief interventions ranked in the top half of interventions. School-based educational interventions, statins and interventions to address mental health problems ranked in the bottom half of interventions. CONCLUSIONS: This paper demonstrates that it is possible to incorporate criteria other than cost-effectiveness in the prioritization of public health investment using an MCDA approach. There are numerous approaches available that adopt the MCDA framework. Further research is required to determine the most appropriate approach in different settings.

Concepts: Cost-utility analysis, Public relations, Multi-criteria decision analysis, New Approach to Appraisal, Health economics, Public health, Decision making software, Decision theory

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In recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the present study was to describe the designated pilot MCDM (Multiple Criteria Decision Making) model for priority setting of health technology assessment in Iran.

Concepts: Philosophy of science, Multi-criteria decision analysis, Decision theory, Neolithic, Time, Technology assessment, Decision making software, Technology

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ViĊĦekriterijumsko kompromisno rangiranje (VIKOR) method is one of the commonly used multi criteria decision making (MCDM) methods for improving the quality of decision making. VIKOR has an advantage in providing a ranking procedure for positive attributes and negative attributes when it is used and examined in decision support. However, we noticed that this method may failed to support an objective result inmedical field because most medical data have normal reference ranges (e.g., for normally distributed data: [Formula: see text]), this limitation shows a negative effect on the acceptance of it as an effective decision supporting method in medical decision making. This paper proposes an improved VIKOR method with enhanced accuracy (ea-VIKOR) to make it suitable for such data in medical field by introducing a new data normalization method taking the original distance to the normal reference range (ODNRR) into account. In addition, an experimental example was presented to demonstrate efficiency and feasibility of the ea-VIKOR method, the results demonstrate the abilityof ea-VIKOR to deal with moderate data and support the decision making in healthcare care management. Forthis reason, the ea-VIKOR should be considered for use as a decision support tool for future study.

Concepts: Multi-criteria decision analysis, Risk, Cognition, Normal distribution, Decision making, Decision engineering, Decision making software, Decision theory

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In recent years, the quest for more comprehensiveness, structure and transparency in reimbursement decision-making in healthcare has prompted the research into alternative decision-making frameworks. In this environment, multi-criteria decision analysis (MCDA) is arising as a valuable tool to support healthcare decision-making. In this paper, we present the main MCDA decision support methods (elementary methods, value-based measurement models, goal programming models and outranking models) using a case study approach. For each family of methods, an example of how an MCDA model would operate in a real decision-making context is presented from a critical perspective, highlighting the parameters setting, the selection of the appropriate evaluation model as well as the role of sensitivity and robustness analyses. This study aims to provide a step-by-step guide on how to use MCDA methods for reimbursement decision-making in healthcare.

Concepts: Goal programming, Case study, Analysis, Multi-criteria decision analysis, Operations research, Critical thinking, Decision making software, Decision theory

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Zoonoses are a growing international threat interacting at the human-animal-environment interface and call for transdisciplinary and multi-sectoral approaches in order to achieve effective disease management. The recent emergence of Lyme disease in Quebec, Canada is a good example of a complex health issue for which the public health sector must find protective interventions. Traditional preventive and control interventions can have important environmental, social and economic impacts and as a result, decision-making requires a systems approach capable of integrating these multiple aspects of interventions. This paper presents the results from a study of a multi-criteria decision analysis (MCDA) approach for the management of Lyme disease in Quebec, Canada. MCDA methods allow a comparison of interventions or alternatives based on multiple criteria.

Concepts: Multi-criteria decision analysis, Systems theory, Lyme disease, Emergence, Management, Operations research, Decision theory, Decision making software

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Health technology assessment and healthcare decision-making are based on multiple criteria and evidence, and heterogeneous opinions of participating stakeholders. Multi-criteria decision analysis (MCDA) offers a potential framework to systematize this process and take different perspectives into account. The objectives of this study were to explore perspectives and preferences across German stakeholders when appraising healthcare interventions, using multi-criteria assessment of a heart pulmonary sensor as a case study.

Concepts: Evaluation methods, Operations research, Risk, Multi-criteria decision analysis, Critical thinking, Decision theory, Decision making software

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Since the introduction of the orphan drugs legislation in Europe, it has been suggested that the general method of assessing drugs for reimbursement is not necessarily suitable for orphan drugs. The National Institute for Health and Clinical Excellence indicated that several criteria other than cost and efficacy could be considered in reimbursement decisions for orphan drugs. This study sought to explore the multi-criteria decision analysis (MCDA) framework proposed by (Orphanet J Rare Dis 7:74, 2012) to a range of orphan drugs, with a view to comparing the aggregate scores to the average annual cost per patient for each product, and thus establishing the merit of MCDA as a tool for assessing the value of orphan drugs in relation to their pricings.

Concepts: Decision making, Introduction, Price, Operations research, Multi-criteria decision analysis, Clinical trial, Decision theory, Decision making software

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BACKGROUND: As fiscal constraints dominate health policy discussions across Canada and globally, priority-setting exercises are becoming more common to guide the difficult choices that must be made. In this context, it becomes highly desirable to have accurate estimates of the value of specific health care interventions.Economic evaluation is a well-accepted method to estimate the value of health care interventions. However, economic evaluation has significant limitations, which have lead to an increase in the use of Multi-Criteria Decision Analysis (MCDA). One key concern with MCDA is the availability of the information necessary for implementation. In the Fall 2011, the Canadian Physiotherapy Association embarked on a project aimed at providing a valuation of physiotherapy services that is both evidence-based and relevant to resource allocation decisions. The framework selected for this project was MCDA. We report on how we addressed the challenge of obtaining some of the information necessary for MCDA implementation. METHODS: MCDA criteria were selected and areas of physiotherapy practices were identified. The building up of the necessary information base was a three step process. First, there was a literature review for each practice area, on each criterion. The next step was to conduct interviews with experts in each of the practice areas to critique the results of the literature review and to fill in gaps where there was no or insufficient literature. Finally, the results of the individual interviews were validated by a national committee to ensure consistency across all practice areas and that a national level perspective is applied. RESULTS: Despite a lack of research evidence on many of the considerations relevant to the estimation of the value of physiotherapy services (the criteria), sufficient information was obtained to facilitate MCDA implementation at the local level. CONCLUSIONS: The results of this research project serve two purposes: 1) a method to obtain information necessary to implement MCDA is described, and 2) the results in terms of information on the benefits provided by each of the twelve areas of physiotherapy practice can be used by decision-makers as a starting point in the implementation of MCDA at the local level.

Concepts: Project management, Multi-criteria decision analysis, Health care, Operations research, Policy, Resource allocation, Decision theory, Decision making software

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Decision support tools (DST) are often used in remediation projects to aid in the complex decision on how best to remediate a contaminated site. In recent years, the sustainable remediation concept has brought increased attention to the often-overlooked contradictory effects of site remediation, with a number of sustainability assessment tools now available. The aim of the present study is twofold: (1) to demonstrate how and when different assessment views affect the decision support outcome on remediation alternatives in a DST, and (2) to demonstrate the contribution of a full sustainability assessment. The SCORE tool was used in the analysis; it is based on a holistic multi-criteria decision analysis (MCDA) approach, assessing sustainability in three dimensions: environmental, social, and economic. Four assessment scenarios, compared to a full sustainability assessment, were considered to reflect different possible assessment views; considering public and private problem owner perspectives, as well as green and traditional assessment scopes. Four real case study sites in Sweden were analyzed. The results show that the decision support outcome from a full sustainability assessment most often differs to that of other assessment views, and results in remediation alternatives which balance trade-offs in most of the scenarios. In relation to the public perspective and traditional scope, which is seen to lead to the most extensive and expensive remediation alternatives, the trade-off is related to less contaminant removal in favour of reduced negative secondary effects such as emissions and waste disposal. Compared to the private perspective, associated with the lowest cost alternatives, the trade-off is higher costs, but more positive environmental and social effects. Generally, both the green and traditional assessment scopes miss out on relevant social and local environmental secondary effects which may ultimately be very important for the actual decision in a remediation project.

Concepts: Natural environment, Cost, Recycling, Multi-criteria decision analysis, Decision support system, Decision making software, Decision theory, Environmental remediation

0

Well- or moderately differentiated gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are often slow-growing, and some patients with unresectable, asymptomatic, non-functioning tumors may face the choice between watchful waiting (WW), or somatostatin analogues (SSA) to delay progression. We developed a comprehensive multi-criteria decision analysis (MCDA) framework to help patients and physicians clarify their values and preferences, consider each decision criterion, and support communication and shared decision-making.

Concepts: Choice, Operations research, Multi-criteria decision analysis, Developed country, United States, Neuroendocrine tumor, Decision theory, Decision making software