scholarly journals Decision-making in ICU –An analysis of the ICU admission decision-making process using the 20-Questions Game

2020 ◽  
Vol 36 (1) ◽  
pp. 28
Author(s):  
P D Gopalan ◽  
S Pershad ◽  
B J Pillay
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Icu Admission ◽  
Admission Decision

scholarly journals Physicians’ Views and Agreement about Patient- and Context-Related Factors Influencing ICU Admission Decisions: A Prospective Study

2021 ◽  
Vol 10 (14) ◽  
pp. 3068
Author(s):  
Stéphane Cullati ◽  
Thomas V. Perneger ◽  
Fabienne Scherer ◽  
Mathieu Nendaz ◽  
Monica Escher
Keyword(s):  
Decision Making ◽  
Intensive Care ◽  
Advanced Disease ◽  
Kappa Statistic ◽  
Tertiary Hospital ◽  
Decision Making Process ◽  
Related Factors ◽  
Code Status ◽  
Icu Admission ◽  
Admission Decisions

Background: Single patient- and context-related factors have been associated with admission decisions to intensive care. How physicians weigh various factors and integrate them into the decision-making process is not well known. Objectives: First, to determine which patient- and context-related factors influence admission decisions according to physicians, and their agreement about these determinants; and second, to examine whether there are differences for patients with and without advanced disease. Method: This study was conducted in one tertiary hospital. Consecutive ICU consultations for medical inpatients were prospectively included. Involved physicians, i.e., internists and intensivists, rated the importance of 13 factors for each decision on a Likert scale (1 = negligible to 5 = predominant). We cross-tabulated these factors by presence or absence of advanced disease and examined the degree of agreement between internists and intensivists using the kappa statistic. Results: Of 201 evaluated patients, 105 (52.2%) had an advanced disease, and 140 (69.7%) were admitted to intensive care. The mean number of important factors per decision was 3.5 (SD 2.4) for intensivists and 4.4 (SD 2.1) for internists. Patient’s comorbidities, quality of life, preferences, and code status were most often mentioned. Inter-rater agreement was low for the whole population and after stratifying for patients with and without advanced disease. Kappa values ranged from 0.02 to 0.34 for all the patients, from −0.05 to 0.42 for patients with advanced disease, and from −0.08 to 0.32 for patients without advanced disease. The best agreement was found for family preferences. Conclusion: Poor agreement between physicians about patient- and context-related determinants of ICU admission suggests a lack of explicitness during the decision-making process. The potential consequences are increased variability and inequity regarding which patients are admitted. Timely advance care planning involving families could help physicians make the decision most concordant with patient preferences.

scholarly journals Assessment of Affecting Factors for Higher Education Admission Process

2019 ◽  
Vol 9 (1) ◽  
pp. 63-67
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Human Life ◽  
Decision Making Process ◽  
Affecting Factors ◽  
Effective Parameters ◽  
Multiple Parameters ◽  
Admission Decision ◽  
The Relationship ◽  
Influential Parameters

Education is the most important aspect of human life. Today, many streams are available to study. It has created a huge opportunity for a student to enroll in any course by fulfilling definite criteria. The courses are managed by various institutes, which are affiliated with particular University. In some courses, students have the choice to enroll without fulfilling any academic criteria. Some students are choosy in joining particular institute or course. Their choice for University or Institute depends upon specific parameters they might have predefined. In this paper, we have studied various parameters, which can influence the decision of a student to take admission in a particular course or institute. To extract essential parameters, we have conducted a survey among students who are studying in different courses and institutes. It is observed from the survey that Job Placement and Good Teaching are very effective parameters in influencing student admission decision-making process. It also reveals that sometimes, the institute is not important when a student is interested in a particular course. This research also guides the institutes or Universities to work upon such parameters to increase the enrollment of students in different courses. To validate this research, the survey from 208 students representing different institutes of India, is collected and analyzed. After analyzing the data collected from the survey, the influential parameters are decided. A graph-based approach is applied to identify the relationship between the varieties of parameters. The results obtained from the graph justify that individual parameters do not affect at large scale in student admission decision-making process while the association of multiple parameters may influence their admission decision-making process.

Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process

2020 ◽  
Vol 64 (1) ◽  
pp. 815-819
Author(s):  
Xiaomei Wang ◽  
Ann M. Bisantz ◽  
Matthew L. Bolton ◽  
Lora Cavuoto ◽  
Varun Chandola
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Structured Interviews ◽  
Cognitive Work Analysis ◽  
Work Analysis ◽  
Admission Decision ◽  
Cognitive Work ◽  
System User ◽  
Complex Decision Making ◽  
Complex Decision

Graduate admission has always been a complex decision making process. The link between application materials and student success has remained elusive and, as such, there is no validated method for making decisions. To understand the purposes, processes, difficulties and needs of the current graduate admission process, semi-structured interviews were conducted with participants from engineering departments. Cognitive work analysis techniques were used to summarize the findings from the interviews. Visualizations were designed to improve the current online review system. User feedback was collected in an experiment.

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.

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