Choosing Doctors Wisely: Can Assisted Choice Enhance Patients’ Selection of Clinicians?

2017 ◽  
Vol 76 (5) ◽  
pp. 572-596 ◽  
Author(s):  
Steven C. Martino ◽  
Rachel Grob ◽  
Sarah Davis ◽  
Andrew M. Parker ◽  
Melissa L. Finucane ◽  
...  
Keyword(s):  
Choice Experiment ◽  
Quantitative Information ◽  
Decision Makers ◽  
Decision Quality ◽  
Quality Information ◽  
Performance Information ◽  
Promising Strategy ◽  
Decision Making Processes ◽  
Quantitative Performance ◽  
Selection Of

We conducted a simulated clinician-choice experiment, comparing choices and decision-making processes of participants ( N = 688) randomized among four experimental arms: a conventional website reporting only quantitative performance information, a website reporting both qualitative (patient comments) and quantitative information, the second website augmented by a decision aid (labeling of patient comments), and the decision-aided website further augmented by the presence of a trained navigator. Introducing patient comments enhanced engagement with the quality information but led to a decline in decision quality, particularly the consistency of choices with consumers’ stated preferences. Labeling comments helped erase the decline in decision quality, although the highest percentage of preference-congruent choices was seen in the navigator arm. Engagement with the quality information and satisfaction with choices available were likewise highest in the navigator arm. Findings held for high- and low-skilled decision makers. Thus, navigator assistance may be a promising strategy for equitably promoting higher quality choices in information-rich contexts.

Grading of architectural heritage using AHP and TOPSIS methods: a case of Odishan Temple, India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Partha Sarathi Mishra ◽  
Soumi Muhuri
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Architectural Heritage ◽  
Content Type ◽  
Ideal Solutions ◽  
Order Preference ◽  
Decision Making Processes ◽  
Distinct Dimension ◽  
Hierarchy Process ◽  
Selection Of

PurposeRanking and grading of architectural heritage (AH) are common for the conservation process. Decision-makers are often intuitively made decisions for the selection of the AH. However, on many occasions, these decisions are not transparent and sometimes focused only on a few aspects of the AH.Design/methodology/approachA transparent and robust methodology must be adopted to select and manage AH for the present and future generations. Selecting the list of parameters that are affecting the AH, and assessing their significance can strengthen the holistic assessment. From the literature, parameters and dimensions are identified for the evaluation of AH and its application for Odishan temple architecture (OTA). For minimizing biasedness associated with assessment, the research considered the opinion of experts, researchers and various stakeholders. For objective decision-making, the Delphi, the analytical hierarchy process (AHP) and the technique for order preference by similarity to ideal solutions (TOPSIS) methods were adopted.FindingsLater, by observing the dimension-wise ranks and comparing the obtained grading of OTA with the existing state of protection, it was found that some temples, though having higher values with distinct dimension, lack significantly in other dimensions. However, for unbiased evaluation, all the possible dimensions should be considered. This methodology will also be useful for other decision-making processes concerning the same.Research limitations/implicationsThis research is limited to the OTA. However, this methodology can be adopted by changing the definitions of the parameters according to the contextual needs.Practical implicationsThis methodology may be helpful for the further policy-making process for the conservation and management of such AH.Originality/valueTo date, OTA is not graded through such a methodology. Also, limited studies are found in similar line worldwide.

scholarly journals Flexible Supplier Selection of WASPAS based on Hesitant Cloud Language

2021 ◽  
Vol 3 (5) ◽  
pp. 144-156
Author(s):  
Jia Jia ◽  
Liyun Wu
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Cloud Model ◽  
Scientific Basis ◽  
Decision Makers ◽  
Decision Quality ◽  
Fuzzy Language ◽  
Important Position ◽  
Selection Of

To ensure the continuity and stability of the supply chain under the sudden crisis, flexible supplier selection has taken up an important position in the operation decision of enterprises. Considering the differences of different expert decision-making and decision-making results that contain fuzziness, randomness and hesitation, the flexible supplier selection was studied by using the method of combining hesitant fuzzy language with normal cloud model and hesitant cloud linguistic term set was established. The weights were calculated according to the decision quality and aggregated with the evaluation results. Finally, WASPAS was used for scheme sorting to select the best supplier. The validity and applicability of the model were verified by a case study, which provided a scientific basis for enterprise decision makers to avoid interruption risk.

Dynamic Weighted Bar for Upper Limb Rehabilitation

2016 ◽  
Vol 10 (4) ◽  
Author(s):  
Taylor C. Hornung ◽  
Stephen J. Piazza ◽  
Everett C. Hills ◽  
Jason Z. Moore
Keyword(s):  
Upper Limb ◽  
Inertial Sensor ◽  
Center Of Mass ◽  
Quantitative Information ◽  
Motion Information ◽  
Performance Information ◽  
Upper Limb Rehabilitation ◽  
Quantitative Performance ◽  
Limb Rehabilitation ◽  
Rehabilitation Exercise

This paper explores the design of a dynamically weighted therapy bar, which can provide real-time quantitative performance information and adjustments during rehabilitation exercise. In contrast, typical therapy equipment is passive, offering no feedback to the patient or clinician. The dynamic weighted bar (DWB) was designed and fabricated containing an inertial sensor which tracks the orientation of the bar and adjusts the position of an internal weight accordingly, in turn providing a targeted force imbalance between the patient's two arms. Step input experiments were performed on the device while it was held in various stationary positions. The DWB was able to successfully function and transmit motion information. It was able to produce a center of mass shift of 101.6 mm, and a complete travel time between 0.96 s and 1.41 s over the entire length. The use of the DWB device can offer many benefits during rehabilitation including access to more quantitative information for clinicians as well as the potential for more personalized therapy programs.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals Heart and Mind: Essential Components in Sound Decision-Making

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 364-364
Author(s):  
Michaela Clark ◽  
Julie Hicks Patrick ◽  
Michaela Reardon
Keyword(s):  
Decision Making ◽  
Decision Quality ◽  
Cluster Solution ◽  
Cognitive Resources ◽  
Cluster Membership ◽  
Essential Components ◽  
Decision Making Processes ◽  
Affective Components ◽  
Heart And Mind

Abstract Consumer tasks permit an ecologically-valid context in which to examine the contributions of affective and cognitive resources to decision-making processes and outcomes. Although previous work shows that cognitive factors are important when individuals make decisions (Patrick et al., 2013; Queen et al.), the role of affective components is less clear. We examine these issues in two studies. Study 1 used data from 1000+ adults to inform a cluster analysis examining affective aspects (importance, meaningfulness) of making different types of decisions. A 4-cluster solution resulted. In Study 2, we used affective cluster membership and cognitive performance as predictors of experimental decision-making outcomes among a subset of participants (N = 60). Results of the regression (F(2, 40) = 6.51, p < .01, R2 = .25.) revealed that both the affective clusters (b = .37, p = .01) and cognitive ability (b = -.30, p = .04) uniquely contributed to the variance explained in decision quality. Age did not uniquely contribute. Results are discussed in the context of developing measures that enable us to move the field forward.

Introducing Economic Evaluation as a Policy Tool in Korea: Will Decision Makers get Quality Information?

2005 ◽  
Vol 23 (7) ◽  
pp. 709-721 ◽  
Author(s):  
Kun-Sei Lee ◽  
Werner B F Brouwer ◽  
Sang-Il Lee ◽  
Hye-Won Koo
Keyword(s):  
Economic Evaluation ◽  
Decision Makers ◽  
Quality Information ◽  
Policy Tool

Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Principal Component ◽  
Decision Makers ◽  
Decision Quality ◽  
Managerial Behavior ◽  
Managerial Decision ◽  
Content Type ◽  
Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

A Design Guide for Estimating Speed Made Good for a Sailing Yacht

1981 ◽  
Author(s):  
Deborah W. Berman
Keyword(s):  
Numerical Data ◽  
Quantitative Information ◽  
Test Results ◽  
Standard Series ◽  
Hull Form ◽  
Design Guide ◽  
Current Design ◽  
Sailing Yacht ◽  
Pencil And Paper ◽  
Selection Of

This study develops a simplified comparative procedure for use in preliminary yacht design to predict Equilibrium sideforce, resistance, leeway angle and speed made good to windward for a canoe hull sailing yacht within specific form parameters on any of five standard series keels. These forces, angles and speeds are predicted for any yacht hull resembling one of nine models - ranging from light to medium-heavy length to displacement ratio - (190 to 351) - of the Delft Systematic Series for which there is numerical data. The forces are calculated at speed to length ratio of 1. 3 and heel angle of 30° to enable the designer to make use of existing comparative sail plan and rigging data. The five keels of varying aspect and area ratio, spanning current design practice, are part of a matrix developed at the Davidson Laboratory. In this paper, a canoe yacht hull form similar to Model 7 of the Delft Series is tank tested on 3 Standard Series keels and compared to results obtained from testing a 5.5 m hull, which is similar to Model 8, on the same keels. A prediction procedure is developed and checked against test results. A few Equations, selected values from included tabulations, a calculator, pencil and paper will yield quantitative information for the yacht designer in the selection of a keel for the hull of a sailing yacht.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

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