The effect of simulator use on students' skill enhancements

2017 ◽  
Vol 4 (2) ◽  
pp. 253-256
Author(s):  
Seda Karacay Yikar
Keyword(s):  
Decision Making ◽  
Nursing Education ◽  
Problem Solving ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Learning Opportunities ◽  
Specific Situation ◽  
Psychomotor Skills ◽  
Problem Solving Skills ◽  
Knowledge And Skills

Nursing education is a training that requires many cognitive and psychomotor skills to be given to the students. Especially, it is expected that students should do every application skillfully before going out to hospital practice.This study was carried out in order to determine the effect of simulation usage on nursing skill development.These work is a review.There are many advantages to using the simulation in nursing education. These; critical thinking, clinical decision-making and problem-solving skills, a specific situation,skill in simulated education and a case example case can be revitalized versatile. Thus, it is possible to provide students with active learning opportunities to create coherent and comparable experiences; Help students integrate knowledge and skills. Through simulation laboratories, students develop their practice and as a result, mistakes they may make can be reduced.  Keywords: Simulation; nursing education; skill development in nursing.   

scholarly journals Shared clinical decision-making experiences in nursing: a qualitative study

BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Fen-Fang Chung ◽  
Pao-Yu Wang ◽  
Shu-Chuan Lin ◽  
Yu-Hsia Lee ◽  
Hon-Yen Wu ◽  
...  
Keyword(s):  
Decision Making ◽  
Nursing Education ◽  
Nursing Staff ◽  
Information Exchange ◽  
Clinical Decision Making ◽  
Medical Center ◽  
Clinical Decision ◽  
Sociocultural Factors ◽  
Patient Centered ◽  
Clinical Nursing

Abstract Background Shared decision making (SDM) is a patient-centered nursing concept that emphasizes the autonomy of patients. SDM is a co-operative process that involves information exchange and communication between medical staff and patients for making treatment decisions. In this study, we explored the experiences of clinical nursing staff participating in SDM. Methods This study adopted a qualitative research design. Semistructured interviews were conducted with 21 nurses at a medical center in northern Taiwan. All interview recordings were transcribed verbatim. Content analysis was performed to analyze the data. Results The findings yielded the following three themes covering seven categories: knowledge regarding SDM, trigger discussion and coordination, and respect of sociocultural factors. Conclusions The results of this study describe the experiences of clinical nursing staff participating in SDM and can be used as a reference for nursing education and nursing administrative supervisors wishing to plan and enhance professional nursing SDM in nursing education.

scholarly journals Development and Effects of a Nursing Education Program Using Virtual Reality for Enhancing Clinical Decision-Making Ability in Respiratory Disease Nursing Care

2021 ◽  
Vol 28 (4) ◽  
pp. 458-469
Author(s):  
Eun Ju Lee ◽  
Min Jung Ryu
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Nursing Education ◽  
Respiratory Disease ◽  
Nursing Care ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Control Group ◽  
Simulation Education ◽  
Experimental Group

Purpose: This study was conducted to develop and examine the effects of a nursing education program using virtual reality to enhance clinical decision-making ability in respiratory disease nursing care by assessing students’ confidence in performance, clinical decision-making ability, practice flow, class evaluations, and simulation design evaluations.Methods: This study was developed based on the Jeffries simulation model and 5E learning cycle model, blending a virtual reality simulation and high-fidelity simulation. The participants were 41 third-year nursing students with no virtual reality and simulation education experience. The experimental group (n=21) received the virtual reality program, while the control group (n=20) received traditional simulation education. Data were collected from March 8 to May 28, 2021 and analyzed using SPSS version 27 for Windows.Results: Statistically significant differences were found between the experimental group and the control group post-intervention in confidence in performance (F=4.88, p=.33) and clinical decision-making ability (F=18.68, p＜.001). The experimental group showed significant increases in practice flow (t=2.34, p=.024) and class evaluations (t=2.99, p=.005) compared to the control group.Conclusion: Nursing education programs using virtual reality to enhance clinical decision-making ability in respiratory disease nursing care can be an effective educational strategy in the clinical context.

scholarly journals Shared clinical decision-making experiences in nursing: A qualitative study

2021 ◽  
Author(s):  
Fen-Fang Chung ◽  
Shu-Chuan Lin ◽  
Yu-Hsia Lee ◽  
Pao-Yu Wang ◽  
Hon-Yen Wu ◽  
...  
Keyword(s):  
Decision Making ◽  
Nursing Education ◽  
Nursing Staff ◽  
Cultural Sensitivity ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Information Communication ◽  
Structured Interviews ◽  
Clinical Nursing ◽  
Basic Ability

Abstract Background Shared decision making (SDM) is a patient-centred nursing concept that emphasises the autonomy of the patient. It is a co-operative process of exchanging information, communication and response, and treatment decisions made between medical staff and patients. In this study, we explored the experience of clinical nursing staff participating in SDM. Methods We adopted a qualitative research method. Semi-structured interviews were conducted with 21 nurses at a medical centre in northern Taiwan. The data obtained from interview recordings were transferred to verbatim manuscripts. Content analysis was used to analyse and summarise the data. Results Clinical nursing staff should have basic professional skills, communication and response skills, respect and cultural sensitivity, the ability to form a co-operative team, the ability to search for and integrate empirical data, and the basic ability to edit media to participate in SDM. Conclusions The results of this study describe the experiences of clinical nursing staff participating in SDM, which can be used as a reference for nursing education and nursing administrative supervisors to plan and enhance professional nursing SDM in nursing education.

Diagnostic conversations: Clinical Decision Making in surgery – Part 2

Diagnosis ◽  
2014 ◽  
Vol 1 (2) ◽  
pp. 189-193 ◽  
Author(s):  
David Allan Watters ◽  
Spencer Wynyard Beasley ◽  
Wendy Crebbin
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Learning Opportunities ◽  
Clinical Decisions ◽  
Decision Making Processes ◽  
Royal Australasian College ◽  
Insight Into ◽  
Made In

AbstractProceduralists who fail to review their decision making are unlikely to learn from their experiences, irrespective of whether the operative outcome is successful or not. Teaching junior surgeons to develop ‘insight’ into their own decision making has long been a challenge. Surgeons and staff of the Royal Australasian College of Surgeons worked together to develop a model to help explain the processes around clinical decision making and incorporated this model into a Clinical Decision Making (CDM) training course. In this course, faculty apply the model to specific surgical cases, within the model’s framework of how clinical decisions are made; thus providing an opportunity to identify specific decision making processes as they occur and to highlight some of the learning opportunities they provide. The conversation in this paper illustrates the kinds of case-based interactions which typically occur in the development and teaching of the CDM course.The focus in this, the second of two papers, is on reviewing post-operative clinical decisions made in relation to one case, to improve the quality of subsequent decision making.

Diagnostic conversations: Clinical Decision Making in surgery – Part 1

Diagnosis ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 99-102 ◽  
Author(s):  
David Allan Watters ◽  
Spencer Wynyard Beasley ◽  
Wendy Crebbin
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Learning Opportunities ◽  
Clinical Scenario ◽  
Decision Making Processes ◽  
Expert Surgeon ◽  
Thinking Processes ◽  
Royal Australasian College ◽  
Case Based

AbstractSound and efficient decision making are hallmarks of an expert surgeon. Unfortunately, those experts are often unable to explain their thinking processes, or to teach their trainees and colleagues how they do it. Surgeons and staff of the Royal Australasian College of Surgeons worked together to develop a model to explain the processes around clinical decision making and used this understanding and knowledge to devise a Clinical Decision Making (CDM) training course. The surgical faculty ensure the model is applicable to specific surgical cases, as well as presenting a framework of how clinical decisions are made. Wendy targets the specific decision making processes that are occurring with each clinical scenario, and highlights some of the learning opportunities that they provide. The conversation in this paper models the kinds of case-based interactions which occur in the development and teaching of the CDM course.

scholarly journals Clinical Decision-Making: Developing a 4 C Model Using Graph Theoretic Approach

2020 ◽  
Vol 7 (1) ◽  
pp. 30
Author(s):  
Rajesh P. Mishra ◽  
Nidhi Mundra ◽  
Girish Upreti ◽  
Marcela Villa-Marulanda
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Theoretic Model ◽  
Specific Situation ◽  
Theoretic Approach ◽  
Graph Theoretic ◽  
Treatment Processes ◽  
Graph Theoretic Approach ◽  
Major Factors

The purpose of this paper is to propose a graph-theoretic mathematical model to measure how conducive the environment of a hospital is for decision-making. We propose a 4-C model, developed from four interacting factors: confidence, complexity, capability, and customer. In this graph-theoretic model, abstract information regarding the system is represented by the directed edges of a graph (or digraph), which together depict how one factor affects another. The digraph yields a matrix model useful for computer processing. The net effect of different factors and their interdependencies on the hospital's decision-making environment is quantified and a single numerical index is generated. This paper categorizes all the major factors that influence clinical decision-making and attempts to provide a tool to study and measure their interactions with each other. Each factor and each interaction among factors are to be quantified by healthcare experts according to their best judgment of the magnitude of its effect in a local hospital environment.A hospital case study is used to demonstrate how the 4-C model works. The graph-theoretic approach allows for the inclusion of new factors and generation of alternative environments by a combination of both qualitative and quantitative modeling. The 4-C model can be used to create both a database and a simple numerical scale that help a hospital set customized guidelines, ranging from patient admittance procedures to diagnostic and treatment processes, according to its specific situation. Implementing this methodology systematically can allow a hospital to identify factors that will lead to improved decision-making as well as identifying operational factors that present roadblocks.

scholarly journals Simulation in Nursing Education: Review of Research

2020 ◽  
Vol 8 (02) ◽  
pp. 82-86
Author(s):  
Sulochana Ghimire ◽  
Anuja Kachapati
Keyword(s):  
Decision Making ◽  
Nursing Education ◽  
Nursing Students ◽  
Clinical Decision Making ◽  
Full Range ◽  
Real Life ◽  
Clinical Decision ◽  
Practical Training ◽  
New Graduates ◽  
Nursing Curricula

INTRODUCTION Nursing education consists of the theoretical and practical training provided to nurses with the purpose to prepare them for their duties as nursing care professionals. The scope of nursing practice reflects all the role and responsibilities undertaken by the nurse to address the full range of human experiences and responses to health and illness. The instructional strategies utilized in both didactic and clinical components of nursing education courses are highly influential in determining critical thinking and clinical decision making ability as well as in developing the psychomotor skill performance of new graduates. Simulation provides nursing students with opportunities to practice their clinical and decision-making skills through various real-life situational experiences. Although endorsed in nursing curricula, its effectiveness is largely unknown.  

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