A review of clinical reasoning in nursing education:based on high-fidelity simulation teaching method

Objective： Clinical reasoning is an essential feature of health care practice; it is also a crucial ability for providing patient care of high quality. It has been identified that graduate nurses may lack the clinical reasoning skills to deliver safe and effective patient cam. It is therefore of paramount importance to enhance nursing students＇ clinical reasoning ability. High-fidelity simulation （HFS） is proved to be an effective teaching and learning method, which may also have some advantages over other teaching methods. Methods： The authors retrospectively reviewed the related literature, illustrated the application of high-fidelity simulation teaching method in nursing education, putting the focus on the use of it in teaching with clinical reasoning. Results： The application of high-fidelity simulation to nursing education can simulate the clinical situation, thus to create a safe, continuous and efficient learning environment for students, and it can effectively improve students＇ clinical reasoning ability. Conclusions： high-fidelity simulation is effective for clinical reasoning teaching in nursing education. The extension of its application in China should be of great value. The relevant further study is suggested focusing on how to overcome its own limitations and have it better applied in nursing education in China.

Assessing the Levels of Clinical Reasoning Skills Using Self-Assessment of Clinical Reflection and Reasoning in Undergraduate Nursing Students: A Descriptive Comparative Study

Background: Clinical reasoning is a critical cognitive skill that enables undergraduate nursing students to make clinically sound decisions. A lapse in clinical reasoning can result in unintended harm to patients. The aim of the study was to assess and compare the levels of clinical reasoning skills between third year and fourth year undergraduate nursing students. Methods: The study utilized a descriptive comparative research design, based on the positivism paradigm. 410 undergraduate nursing students were systematically sampled and recruited into the study. The researchers used the Self-Assessment of Clinical Reflection and Reasoning questionnaire to collect data on clinical reasoning skills from third- and fourth-year nursing students while adhering to ethical principles of human dignity. Descriptive statistics were done to analyse the level of clinical reasoning and an independent sample t-test was performed to compare the clinical reasoning skills of the student. A p value of 0.05 was accepted. Results: The results of the study revealed that the mean clinical reasoning scores of the undergraduate nursing students were knowledge/theory application (M = 3.84;SD = 1.04);decision-making based on experience and evidence (M = 4.09;SD = 1.01);dealing with uncertainty (M = 3.93;SD = 0.87);reflection and reasoning (M = 3.77;SD = 3.88). The mean difference in clinical reasoning skills between third- and fourth-year undergraduate nursing students was not significantly different from an independent sample t-test scores (t = −1.08;p = 0.28);(t = −0.29;p = 0.73);(t = 1.19;p = 0.24);(t = −0.57;p = 0.57). Since the p-value is >0.05, the null hypothesis (H0) “there is no significantno significant difference in clinical reasoning between third year and fourth year undergraduate nursing students”, was accepted. Conclusion: This study has shown that the level of clinical reasoning skills of the undergraduate nursing students was moderate to low. This meant that the teaching methods have not been effective to improve the students clinical reasoning skills. Therefore, the training institutions should revise their curriculum by incorporating new teaching methods like simulation to enhance students’ clinical reasoning skills. In conclusion, evaluating clinical reasoning skills is crucial for addressing healthcare issues, validating teaching methods, and fostering continuous improvement in nursing education.

An Exploration of How Practitioners Make Meaning in a Chinese Medicine Consultation and Treatment

In Chinese medicine, practitioners assess patients’ complaints, analyze their underlying problems, identify causes and come to a diagnosis, which then directs treatment. What is not obvious and not recorded in a consultation is the clinical reasoning process that practitioners use. The research filmed three practitioners in the UK while they conducted a consultation and treatment on new patients. The practitioners and researchers viewed the films and used them as aide-memoirs while the reasoning process throughout was discussed. In order to determine the pattern, practitioners used the four examinations to gather information from the patient in an iterative process;their aesthetic reasoning was highly developed. Through triangulation they checked the information they received against a detailed understanding of the qi-dynamic. They used highly analytical strategies of forward(inductive) and backward(deductive) reasoning against the prototypes of the signs and symptoms that indicate a specific Zheng. This was achieved through an abductive process that linked description with explanation and causal factors with pathological mechanisms. The feedback loop with the patient continued through the consultation and into the treatment. A process of translation and interpretation was needed to turn the patient’s story into the practitioner’s story of qi-dynamics that then directed the treatment. Awareness of our clinical reasoning process will mitigate against biases, improve our diagnoses and treatment choices and support the training of students.

Feasibility of an Educational Program for Clinical Educators to Promote Novice Midwives’ Clinical Judgment: A Feasibility Study

Background: The COVID-19 pandemic greatly impacted the clinical practicum programs of student midwives. It is very important for clinical educators to educate novice midwives in clinical settings. The purpose of this study was to develop an educational program for clinical educators to promote clinical judgment of novice midwives during delivery and to evaluate the feasibility of its practicality, acceptability and implementation. Methods: This feasibility study used an exploratory descriptive design with data generated from a questionnaire. The inclusion criteria were midwives assigned to the delivery ward who were newly scheduled to educate novice midwives in 2019 or had become a clinical educator within a year or two. The program consisted of e-learning (30 minutes) and lecture, simulation and discussion (about 2.5 hours). Descriptive statistics were performed for participant characteristics and evaluation of feasibility. Responses to the open-ended question were sorted into categories. Results: There were nine participants from two facilities. Practicality and acceptability received mostly positive evaluations. However, for a few the simulation scenarios were difficult to understand. Implementation of all the e-learning content was successful, and seminar attendance was 100% from start to finish. Conclusion: We found this e-learning program feasible in terms of practicality, acceptability and implementation. Most of the comments were positive opinions regarding future utilization of novice midwives’ education and clinical utilization of the program, suggesting that the clinical significance of this program was extremely high.

Ten misconceptions regarding decision-making in critical care

Diagnostic errors are prevalent in critical care practice and are associated with patient harm and costs for providers and the healthcare system.Patient complexity,illness severity,and the urgency in initiating proper treatment all contribute to decision-making errors.Clinician-related factors such as fatigue,cognitive overload,and inexperience further interfere with effective decision-making.Cognitive science has provided insight into the clinical decision-making process that can be used to reduce error.This evidence-based review discusses ten common misconceptions regarding critical care decision-making.By understanding how practitioners make clinical decisions and examining how errors occur,strategies may be developed and implemented to decrease errors in Decision-making and improve patient outcomes.