Aims and objectives
To identify and summarise factors and processes related to registered nurses’ patient care decision‐making in medical–surgical environments. A secondary goal of this literature ...review was to determine whether medical–surgical decision‐making literature included factors that appeared to be similar to concepts and factors in naturalistic decision making (NDM).
Background
Decision‐making in acute care nursing requires an evaluation of many complex factors. While decision‐making research in acute care nursing is prevalent, errors in decision‐making continue to lead to poor patient outcomes. Naturalistic decision making may provide a framework for further exploring decision‐making in acute care nursing practice. A better understanding of the literature is needed to guide future research to more effectively support acute care nurse decision‐making.
Design
PubMed and CINAHL databases were searched, and research meeting criteria was included. Data were identified from all included articles, and themes were developed based on these data.
Results
Key findings in this review include nursing experience and associated factors; organisation and unit culture influences on decision‐making; education; understanding patient status; situation awareness; and autonomy.
Conclusions
Acute care nurses employ a variety of decision‐making factors and processes and informally identify experienced nurses to be important resources for decision‐making. Incorporation of evidence into acute care nursing practice continues to be a struggle for acute care nurses. This review indicates that naturalistic decision making may be applicable to decision‐making nursing research.
Relevance to clinical practice
Experienced nurses bring a broad range of previous patient encounters to their practice influencing their intuitive, unconscious processes which facilitates decision‐making. Using naturalistic decision making as a conceptual framework to guide research may help with understanding how to better support less experienced nurses’ decision‐making for enhanced patient outcomes.
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form ( , , ), where is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, is the opposite of , ...while is the neutral (or indeterminate) between them, i.e., neither nor .Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures – that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc.
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form ( , , ), where is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, is the opposite of , ...while is the neutral (or indeterminate) between them, i.e., neither nor .Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures – that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc.
The contemporary healthcare field operates according to an autonomy model of medical decision-making. This model stipulates that patients have the right to make informed choices about their care. ...Shared decision making (SDM) has arisen as the dominant approach for clinicians and patients to collaborate in care planning and implementation. This approach relies heavily on normative (rational) decision-making processes, and often leaves out descriptive influences that stem from personal, social, and environmental factors and explain how decisions are typically made in the real world. The lack of attention to descriptive decision-making limits SDM in many ways. A multi-level approach to expanding the practice of SDM is proposed, including tailoring the decision encounter based on patients’ social, cultural, and environmental context; using relational elements strategically as part of the SDM process; and modifying incentive models to promote greater attention to descriptive impacts on decision-making. These modifications are expected to make SDM, and thus patient care, more inclusive, effective, and acceptable to diverse patients.
•Shared decision making (SDM) gives patients greater choice over their healthcare.•Currently, SDM is limited by a narrow focus on rational decision-making processes.•Greater attention to descriptive decision-making is needed to support SDM.
The economics literature is replete with examples of monotone comparative statics; that is, scenarios where optimal decisions or equilibria in a parameterized collection of models vary monotonically ...with the parameter. Most of these examples are manifestations of complementarity, with a common explicit or implicit theoretical basis in properties of a super-modular function on a lattice. Supermodular functions yield a characterization for complementarity and extend the notion of complementarity to a general setting that is a natural mathematical context for studying complementarity and monotone comparative statics. Concepts and results related to supermodularity and monotone comparative statics constitute a new and important formal step in the long line of economics literature on complementarity.
Clear and effective instruction on MADM methods for students, researchers, and practitioners.A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) ...methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter:Describes, step-by-step, a specific MADM method, or in some cases a family of methodsContains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fieldsProvides a detailed yet concise description of each method's theoretical foundationMaps each method's philosophical basis to its corresponding mathematical frameworkDemonstrates how to implement each MADM method to real-world problems in a variety of disciplinesIn MADM methods, stakeholders' objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.
In this paper, a new method, called best-worst method (BWM) is proposed to solve multi-criteria decision-making (MCDM) problems. In an MCDM problem, a number of alternatives are evaluated with ...respect to a number of criteria in order to select the best alternative(s). According to BWM, the best (e.g. most desirable, most important) and the worst (e.g. least desirable, least important) criteria are identified first by the decision-maker. Pairwise comparisons are then conducted between each of these two criteria (best and worst) and the other criteria. A maximin problem is then formulated and solved to determine the weights of different criteria. The weights of the alternatives with respect to different criteria are obtained using the same process. The final scores of the alternatives are derived by aggregating the weights from different sets of criteria and alternatives, based on which the best alternative is selected. A consistency ratio is proposed for the BWM to check the reliability of the comparisons. To illustrate the proposed method and evaluate its performance, we used some numerical examples and a real-word decision-making problem (mobile phone selection). For the purpose of comparison, we chose AHP (analytic hierarchy process), which is also a pairwise comparison-based method. Statistical results show that BWM performs significantly better than AHP with respect to the consistency ratio, and the other evaluation criteria: minimum violation, total deviation, and conformity. The salient features of the proposed method, compared to the existing MCDM methods, are: (1) it requires less comparison data; (2) it leads to more consistent comparisons, which means that it produces more reliable results.
•A new method (Best Worst Method: BWM) is proposed to solve MCDM problems.•The new method (BWM) requires 2n−3 comparison data to pairwise compare n elements.•To verify the reliability of the comparisons, a consistency ratio is proposed.•BMW is compared to AHP in a real-world problem; the results are in favor of BWM.
How does the EU resolve controversy when making laws that affect citizens? How has the EU been affected by the recent enlargements that brought its membership to a diverse group of twenty-seven ...countries? This book answers these questions with analyses of the EU's legislative system that include the roles played by the European Commission, European Parliament and member states' national governments in the Council of Ministers. Robert Thomson examines more than 300 controversial issues in the EU from the past decade and describes many cases of controversial decision-making as well as rigorous comparative analyses. The analyses test competing expectations regarding key aspects of the political system, including the policy demands made by different institutions and member states, the distributions of power among the institutions and member states, and the contents of decision outcomes. These analyses are also highly relevant to the EU's democratic deficit and various reform proposals.
Political scientists have long classified systems of government as parliamentary or presidential, two-party or multiparty, and so on. But such distinctions often fail to provide useful insights. For ...example, how are we to compare the United States, a presidential bicameral regime with two weak parties, to Denmark, a parliamentary unicameral regime with many strong parties?Veto Playersadvances an important, new understanding of how governments are structured. The real distinctions between political systems, contends George Tsebelis, are to be found in the extent to which they afford political actors veto power over policy choices. Drawing richly on game theory, he develops a scheme by which governments can thus be classified. He shows why an increase in the number of "veto players," or an increase in their ideological distance from each other, increases policy stability, impeding significant departures from the status quo.
Policy stability affects a series of other key characteristics of polities, argues the author. For example, it leads to high judicial and bureaucratic independence, as well as high government instability (in parliamentary systems). The propositions derived from the theoretical framework Tsebelis develops in the first part of the book are tested in the second part with various data sets from advanced industrialized countries, as well as analysis of legislation in the European Union. Representing the first consistent and consequential theory of comparative politics,Veto Playerswill be welcomed by students and scholars as a defining text of the discipline.
From the preface to the Italian edition:
"Tsebelis has produced what is today the most original theory for the understanding of the dynamics of contemporary regimes. . . . This book promises to remain a lasting contribution to political analysis."--Gianfranco Pasquino, Professor of Political Science, University of Bologna
A guide to the various models and methods to multicriteria decision-making in conditions of uncertainty presented in a systematic approach Multicriteria Decision-Making under Conditions of ...Uncertainty presents approaches that help to answer the fundamental questions at the center of all decision-making problems: "What to do?" and "How to do it?" The book explores methods of representing and handling diverse manifestations of the uncertainty factor and a multicriteria nature of problems that can arise in system design, planning, operation, and control. The authors-noted experts on the topic-and their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for analyzing multicriteria problems in condition of uncertainty, and more. This comprehensive book contains information on "harmonious solutions" in multiobjective problem-solving (analyzing <X, F> models), construction and analysis of <X, R> models, results aimed at generating robust solutions in analyzing multicriteria problems under uncertainty, and more. In addition, the book includes illustrative examples of various applications, including real-world case studies related to the authors' various industrial projects. This important resource: Explains the design and processing aspect of fuzzy sets, including construction of membership functions, fuzzy numbers, fuzzy relations, aggregation operations, and fuzzy sets transformations Describes models of multiobjective decision-making (<X. M> models), their analysis on the basis of using the Bellman-Zadeh approach to decision-making in a fuzzy environment, and their diverse applications, including multicriteria allocation of resources Investigates models of multiattribute decision-making (<X, R> models) and their analysis on the basis of the construction and processing of fuzzy preference relations as well as demonstrating their applications to solve diverse classes of multiattribute problems Explores notions of payoff matrices and fuzzy-set-based generalization and modification of the classic approach to decision-making under conditions of uncertainty to generate robust solutions in analyzing multicriteria problems Written for students, researchers and practitioners in disciplines in which decision-making is of paramount relevance, Multicriteria Decision-Making under Conditions of Uncertainty presents a systematic and current approach that encompasses a range of models and methods as well as new applications.
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