RESUMEN

BACKGROUND: Integrating life-threatening clinical simulations improves learning outcomes. This study assessed nursing students' critical thinking factors before and after simulation, evaluated nursing clinical reasoning ability and learning satisfaction at two time points, and explored relationships and predictions among critical thinking, clinical reasoning, and satisfaction before and after simulation. METHOD: Surveys and focus groups were used for this mixed-methods study. RESULTS: Quantitative findings revealed increased critical thinking scores for curiosity, skepticism, and systematicity; clinical reasoning; and satisfaction after simulation. Qualitative results supported these improvements and indicated enhanced curiosity for clinical knowledge and iterative phases of clinical reasoning. Students expressed satisfaction with the simulations. Objectivity significantly influenced clinical reasoning and satisfaction in nursing students following life-threatening simulations. CONCLUSION: Fostering a culture of critical thinking in life-threatening simulations is crucial. Educators must teach the importance of objectivity in clinical practice, encourage critical evaluation, and foster self-reflection in simulations. [J Nurs Educ. 2024;63(9):595-603.].

Asunto(s)

RESUMEN

Careful evaluation of symptom progression and radiographic findings are essential tools when approaching cases of suspected chronic myelopathies. In this case, a 26-year-old woman presented with progressive ambulatory and bladder dysfunction for 4 years. Her examination was marked by bilateral lower-extremity upper motor neuron signs and distal large-fiber sensory loss. Neurologic workup for acquired causes of this presentation was unrevealing. MRI of the brain revealed a characteristic radiologic finding. Guided genetic testing ultimately yielded the final diagnosis. In this clinical vignette, we review the approach to chronic myelopathy including consideration of genetic etiologies and pursuit of targeted gene testing. We further discuss the typical clinical and radiographic findings of a rare diagnosis.

Asunto(s)

RESUMEN

BACKGROUND: How ambulance clinicians (ACs) handle a mass casualty incident (MCI) is essential for the suffered, but the training and learning for the ACs are sparse and they don't have the possibility to learn without realistic simulation training. In addition, it is unclear what type of dilemmas ACs process in their clinical reasoning during an MCI. With virtual reality (VR) simulation, the ACs clinical reasoning can be explored in a systematic way. Therefore, the objective was to explore ambulance clinicians' clinical reasoning when simulating a mass casualty incident using virtual reality. METHODS: This study was conducted as an explorative interview study design using chart- stimulated recall technique for data collection. A qualitative content analysis was done, using the clinical reasoning cycle as a deductive matrix. A high-fidelity VR simulation with MCI scenarios was used and participants eligible for inclusion were 11 senior ACs. RESULTS/CONCLUSION: All phases of the clinical reasoning cycle were found to be reflected upon by the participants during the interviews, however with a varying richness of analytic reflectivity. Non-analytic reasoning predominated when work tasks followed specific clinical guidelines, but analytical reasoning appeared when the guidelines were unclear or non-existent. Using VR simulation led to training and reflection on action in a safe and systematic way and increased self-awareness amongst the ACs regarding their preparedness for MCIs. This study increases knowledge both regarding ACs clinical reasoning in MCIs, and insights regarding the use of VR for simulation training.

Asunto(s)

RESUMEN

OBJECTIVE: To compare the effectiveness of flipped classroom and video-assisted learning techniques with didactic lectures in promoting clinical reasoning skills in Forensic Medicine. STUDY DESIGN: Quasi-experimental study. Place and Duration of the Study: Department of Forensic Medicine, Dow International Medical College and Dow University of Health Sciences, Karachi, Pakistan, from May to October 2023. METHODOLOGY: The study included 114 third-year medical students divided into three predefined tutorial groups. Over four weeks, within the Forensic Medicine respiratory module, each group was taught one topic per week using a distinct teaching strategy: Traditional lectures (TL) for the first group, flipped classroom (FC) method for the second group, and video-assisted teaching (VAT) for the third group. Students' learning achievements and clinical reasoning skills were assessed through a pre-test, post-test, and revision post-test. RESULTS: Pre-test scores showed no significant differences among the groups (p = 0.655). However, post-test scores differed significantly (F2:111 = 11.93, p <0.001). Tukiye's test indicated that the mean score for the FC group was significantly different from the TL group (p = 0.003) and the VAT group (p <0.001), but there was no significant difference between the TL and VAT groups (p = 0.422). The revision post-test indicated a significant decrease in mean scores across all groups, regardless of the instructional approach (p <0.001). CONCLUSION: The FC approach for teaching clinical reasoning in Forensic Medicine shows promising results, effectively improving student performance and learning experience. KEY WORDS: Flipped classroom, Video-assisted teaching, Clinical reasoning, Forensic Medicine teaching.

Asunto(s)

RESUMEN

BACKGROUND: Medical students gain essential skills through hospital training and internships, which complement their theoretical education. However, virtual patient platforms have been shown to effectively promote clinical reasoning and enhance learning outcomes. This study evaluates a web-based platform designed for learning clinical reasoning in cardiovascular diseases, detailing its functionalities and user satisfaction. METHODS: The Virtual Patient platform presents medical students with clinically valid scenarios, encompassing stages such as patient description, anamnesis, objective examination, presumptive diagnosis, health investigations, treatment planning, complications, differential and final diagnoses, and prognosis. Scenarios are generated either automatically or manually by professors, based on labeled and annotated clinical data. The Virtual Patient contains two types of medical cases: simple scenarios describing patients with one pathology, and complex scenarios describing patients with several related pathologies. The platform was evaluated by a total of 210 users: 178 medical students, 7 professors, and 25 engineering students, using questionnaires adjusted for each evaluation round to assess satisfaction and gather feedback. The evaluation by medical students was performed in four rounds, each round corresponding to successive enhancements of the platform functionalities and addition of new cases, with a total number of 1,098 evaluation sessions. RESULTS: The platform was evaluated at different implementation stages, involving simple and complex scenarios for various heart diseases. The majority of students found the platform very useful (82.58%), with significant appreciation for its features and functionalities, for example the dialogue module supporting natural language interactions in Romanian and English or the feed-back obtained during interaction. Professors highly valued the platform's flexibility in scenario generation, real-time feedback provision, and data management capabilities. They appreciated the possibility to provide feedback and score student performance in real-time or after the session, though some professors suggested improving the explainability of the scores. CONCLUSIONS: The Virtual Patient platform enables medical students to virtually replicate hospital interactions, diagnose patients, and plan treatments in clinically valid scenarios for cardiovascular diseases. User evaluations demonstrated high satisfaction and appreciation for the platform's features. Future work will focus on expanding medical cases, enhancing the dialogue module, improving scenario generation for complex cases, and extending the synthetic data generation component to produce additional types of medical investigations.

Asunto(s)

RESUMEN

BACKGROUND: The American Association of Colleges of Nursing (AACN) and National Organization of Nurse Practitioner Faculties (NONPF) emphasize the role of clinical reasoning in nurse practitioner (NP) competencies. Evidence-based clinical reasoning is vital to patient safety. Collaborative technology tools can aid in assessing progress towards achieving clinical reasoning competency. PURPOSE/AIMS: The purpose of this article is to describe an electronic, collaborative learning framework to teach and assess second year NP students in systematically selecting and eliminating diagnoses and forming treatment plans. DESIGN/METHODS: Post gap analysis, the collaborative learning framework was created. This visual, collaborative resource was scaffolded across two sequential advanced NP second year clinical synthesis courses and embedded with evolving case studies. Students identified pertinent positives and negatives from the history, physical, and diagnostic findings. Each student developed a unique differential diagnosis and plan of care and critiqued their peers. RESULT/FINDINGS: The tool exceeded expectations. Faculty were able to visualize data, provide clarification on interpretation of data and pharmacology, and grade in small groups. CONCLUSION: The collaborative learning framework provided real-time visualization of students' work in clinical reasoning. It was easy to use and integrate into second year NP courses to meet learning objectives and assess clinical reasoning competency.

Asunto(s)

RESUMEN

Approaching patients with paraproteinemic neuropathies can be challenging for the practicing neurologist, and a well-defined strategy considering specific etiologies is necessary to arrive at the correct diagnosis. In this case, a 49-year-old man presented with a 2-year history of progressive upper then lower extremity numbness, weakness, gait instability, and tremors. His examination was marked by proximal and distal symmetric upper and lower extremity weakness, large more than small-fiber sensory loss, prominent sensory ataxia, action and postural tremors, and globally absent deep tendon reflexes. His workup was notable for a chronic demyelinating sensorimotor polyradiculoneuropathy and a monoclonal immunoglobulin (Ig) M kappa gammopathy. This case highlights the approach to a patient with a rare subtype of IgM paraproteinemic neuropathy with a review of the differential diagnoses, red flag features of co-occurring hematologic disorders, and guided workup. We further discuss typical features of this rare diagnosis and therapeutic options.

Asunto(s)

Asunto(s)

RESUMEN

BACKGROUND: The education-to-practice gap is magnified in pediatric nursing due to decreasing pediatric content offered in undergraduate programs, including less pediatric clinical time and inconsistent and inadequate clinical experiences. PURPOSE: Examine student perceptions of learning and confidence by comparing a high-fidelity pediatric simulation series and acute care pediatric clinical. METHODS: The SET-M tool compared settings and included open-ended questions to add insight. SAMPLE: In an undergraduate nursing program in a university in the Midwest United States, 124 students completed the anonymous survey rating each experience for learning and confidence in assessment, clinical decision-making, communication, and safety. RESULTS: Students rated the simulation series higher than clinical for all categories except patient communication. CONCLUSION: Student perceptions of learning in high-fidelity simulation revealed increased confidence and competence and the belief that simulation complements the clinical experience and bridges the theory and clinical courses.

Asunto(s)

Asunto(s)

RESUMEN

A 50-year-old man presented with headache. Examination showed left sided ataxic hemiparesis and elevated blood pressure. Brain imaging revealed an acute intracerebral hemorrhage in the right lentiform nucleus, deep and periventricular white matter hyperintensities, and predominantly deep cerebral microbleeds. Fundus examination showed important arteriolar tortuosity involving several blood vessels. In this young patient, we explain the diagnostic approach to intracerebral hemorrhage, the causes of cerebral small vessel disease, and the interpretation of biomolecular tests.

Asunto(s)

RESUMEN

AIMS: To investigate the relationships among communication competence, professional autonomy and clinical reasoning and to identify the factors that influence clinical reasoning competence in oncology nurses. DESIGN: Cross-sectional descriptive design. METHODS: Participants included 147 oncology nurses with more than a year of clinical experience in cancer wards. The Global Interpersonal Communication Competence Scale, Schutzenhofer Professional Autonomy Scale and Nurses Clinical Reasoning Scale (NCRS) were used to collect data. Data were analysed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation analysis and hierarchical multiple regression analysis. RESULTS: Communication competence (r = 0.59) and professional autonomy (r = 0.46) showed significant positive relationships with clinical reasoning competence. Clinical experience, communication competence, age and professional autonomy were statistically significant predictors and explained 48.6% of clinical reasoning competence. CONCLUSIONS: The clinical reasoning competence of oncology nurses increases proportionally with their communication competence and professional autonomy. Therefore, oncology nurses must reinforce their communication competence and professional autonomy to enhance their clinical reasoning competence. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: The reinforcement of communication competence and professional autonomy is necessary for oncology nurses to enhance their clinical reasoning competence. In order to improve nurses' communication competence, practical-focused communication education programmes must be designed and deployed systematically and periodically. In addition, to increase nurses' professional autonomy, it is necessary to expand their clinical experiences through the regular rotation of working units and to make institutional efforts to retain experienced nurses. REPORTING METHOD: We have adhered to STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: Participants in the study were recruited online. They were informed of the study's purpose, method and usability and the survey could only be conducted if they consented to participate voluntarily.

Asunto(s)

RESUMEN

Background: the aim of this study is to understand the diagnostic process undertaken by psychiatrists and psychologists regarding adjustment disorder (AD) in their clinical practice and how they differentiate it from major depressive episode (MDE).Methods: A hermeneutic study using grounded theory techniques was carried out. Semi-structured interviews were conducted with twelve psychiatrists and eight psychologists in Colombia, and transcribed verbatim. Initial line-by-line coding was performed, followed by focused and axial coding to construct categories explaining the professionals' reasoning process.Results: The clinical reasoning of professionals regarding AD was understood through four major categories. (1) Difficulty in addressing the experience of stressful events, as there is a risk of pathologizing and medicalizing them. (2) Mental health diagnoses are necessary but not apodictic. (3) The diagnostic category of AD allows for the description of a fluctuating depressive and anxious syndrome occurring in reaction to a stressful event, whose abnormality criteria are based on intersubjective knowledge of the patient's life history and consequential reasoning regarding the need for professional support. (4) The AD label could potentially protect against overdiagnosis of MDE and overuse of antidepressants. Many clinicians in their practice thus subordinate the diagnosis of MDE to ensuring it is not AD, contrary to what is outlined in diagnostic manuals.Conclusion: This study allowed us to understand the clinical reasoning of psychiatrists and psychologists about AD as a diagnosis that inherently indicates the need to work on coping and intervene in the stressor and should be considered as a diagnostic possibility in the same hierarchy as MDE in reactive syndromes, rather than a residual category.

Clinicians use consequential and intersubjective reasoning to diagnose Adjustment Disorder (AD).Systemic pressures lead to overdiagnosis of Major Depressive Episode (MDE) and excessive antidepressant use.AD should be recognized as a valid non-residual diagnostic category.

Asunto(s)

RESUMEN

Artificial intelligence (AI) in the form of ChatGPT has rapidly attracted attention from physicians and medical educators. While it holds great promise for more routine medical tasks, may broaden one's differential diagnosis, and may be able to assist in the evaluation of images, such as radiographs and electrocardiograms, the technology is largely based on advanced algorithms akin to pattern recognition. One of the key questions raised in concert with these advances is: What does the growth of artificial intelligence mean for medical education, particularly the development of critical thinking and clinical reasoning? In this commentary, we will explore the elements of cognitive theory that underlie the ways in which physicians are taught to reason through a diagnostic case and compare hypothetico-deductive reasoning, often employing illness scripts, with inductive reasoning, which is based on a deeper understanding of mechanisms of health and disease. Issues of cognitive bias and their impact on diagnostic error will be examined. The constructs of routine and adaptive expertise will also be delineated. The application of artificial intelligence to diagnostic problem solving, along with concerns about racial and gender bias, will be delineated. Using several case examples, we will demonstrate the limitations of this technology and its potential pitfalls and outline the direction medical education may need to take in the years to come.

Asunto(s)

RESUMEN

This study aimed to analyze students' and graduates' perceptions regarding the use of Problem-Based Learning (PBL) in nurse education. This is a qualitative study that employs the comprehensive and interpretative approach proposed by Dialectical Hermeneutics. Four focus groups were conducted with the participation of 17 students and 16 graduates from a higher education institution that implements PBL in nurse education. The analysis of results allowed for the identification of five thematic categories: difficulty in adapting to the method; attainment of autonomy in one's own learning; encouragement of clinical reasoning development; enhancement of communication and interpersonal relationships; and integration between theory and practice. It is evident that the use of PBL promotes alignment with the propositions of curriculum guidelines for nurse education by fostering the development of skills and competencies such as autonomy, communication, interpersonal relationships, and clinical reasoning through comprehensive and contextualized practices. However, students encounter challenges with the changes observed when introduced to PBL, which are overcome during the implementation process.

Objetivou-se analisar a percepção de estudantes e egressos sobre a utilização da Aprendizagem Baseada em Problemas (ABP) na formação do enfermeiro. Trata-se de um estudo qualitativo que utiliza a modalidade compreensiva e interpretativa proposta pela Hermenêutica-Dialética. Realizaram-se quatro grupos focais com a participação de 17 estudantes e 16 egressos de uma instituição de ensino superior que aplica a ABP na formação de enfermeiros. A análise dos resultados permitiu a definição de cinco categorias temáticas: dificuldade de adaptação em relação ao método; conquista de autonomia sobre o próprio aprendizado; incentivo ao desenvolvimento do raciocínio clínico; aprimoramento da comunicação e das relações interpessoais e integração entre teoria e prática. Evidencia-se que a utilização da ABP favorece a aproximação com as proposições das diretrizes curriculares para a formação do enfermeiro por meio do desenvolvimento de habilidades e competências como autonomia, comunicação, relações interpessoais e raciocínio clínico mediante práticas integrais e contextualizadas. Entretanto, os estudantes enfrentam dificuldades com as mudanças observadas ao serem inseridos nela ABP, as quais são superadas no decorrer do processo de implementação.

Asunto(s)

RESUMEN

Background There is no standardized, widely accepted process for individualized clinical reasoning remediation. Objective We describe a novel, targeted assessment and coaching process that allows for individualized intervention for residents and fellows struggling with clinical reasoning. Methods Residents and fellows at the University of Virginia with performance concerns are referred to COACH (Committee on Achieving Competence Through Help) and assessed by a remediation expert. A subset is referred to a clinical reasoning remediation coach who performs an additional assessment and cocreates an individualized remediation plan. Following remediation, residents and fellows are reassessed by their respective programs. We report the frequency of struggle, remediation time invested, and academic outcomes. Results From 2017 to 2022, 114 residents and fellows referred to COACH met inclusion criteria, of which 38 (33%) had a deficiency in clinical reasoning. Targeted assessment revealed the following microskill deficits: hypothesis generation (16 of 38, 42%); data gathering (6 of 38, 16%); problem representation (7 of 38, 18%); hypothesis refinement (3 of 38, 8%); and management (6 of 38, 16%). Remediation required a mean of nearly 23 hours per trainee. Of the 38 trainees, 33 (87%) are in good standing at the time of writing. Conclusions Our unique program offers a feasible, targeted approach to clinical reasoning remediation based on our current understanding of the clinical reasoning process. Early hypothesis generation was the most common microskill deficit identified.

Asunto(s)

Asunto(s)

RESUMEN

OBJECTIVE: The recent surge in large language models (LLMs) across various fields has yet to be fully realized in traditional Chinese medicine (TCM). This study aims to bridge this gap by developing a large language model tailored to TCM knowledge, enhancing its performance and accuracy in clinical reasoning tasks such as diagnosis, treatment, and prescription recommendations. MATERIALS AND METHODS: This study harnessed a wide array of TCM data resources, including TCM ancient books, textbooks, and clinical data, to create 3 key datasets: the TCM Pre-trained Dataset, the Traditional Chinese Patent Medicine (TCPM) Question Answering Dataset, and the Spleen and Stomach Herbal Prescription Recommendation Dataset. These datasets underpinned the development of the Lingdan Pre-trained LLM and 2 specialized models: the Lingdan-TCPM-Chat Model, which uses a Chain-of-Thought process for symptom analysis and TCPM recommendation, and a Lingdan Prescription Recommendation model (Lingdan-PR) that proposes herbal prescriptions based on electronic medical records. RESULTS: The Lingdan-TCPM-Chat and the Lingdan-PR Model, fine-tuned on the Lingdan Pre-trained LLM, demonstrated state-of-the art performances for the tasks of TCM clinical knowledge answering and herbal prescription recommendation. Notably, Lingdan-PR outperformed all state-of-the-art baseline models, achieving an improvement of 18.39% in the Top@20 F1-score compared with the best baseline. CONCLUSION: This study marks a pivotal step in merging advanced LLMs with TCM, showcasing the potential of artificial intelligence to help improve clinical decision-making of medical diagnostics and treatment strategies. The success of the Lingdan Pre-trained LLM and its derivative models, Lingdan-TCPM-Chat and Lingdan-PR, not only revolutionizes TCM practices but also opens new avenues for the application of artificial intelligence in other specialized medical fields. Our project is available at https://github.com/TCMAI-BJTU/LingdanLLM.

Asunto(s)

RESUMEN

The clinical assessment of patients with proximal muscle weakness represents a frequent yet intricate challenge. We present the case of a 60-year-old woman who experienced a progressive, symmetrical weakness in proximal limbs and bulbar muscles over 6 months. Notable clinical findings included bilateral ophthalmoparesis; widespread muscle atrophy; and pronounced weakness in craniobulbar, cervical, and proximal muscles, more severe than in distal ones. We elucidate a methodical diagnostic approach, focusing on constructing a comprehensive differential diagnosis and identifying potential causes of proximal muscle weakness. Special emphasis is placed on exploring the etiologies in cases presenting with both progressive muscle weakness and ophthalmoparesis. We further describe the role of muscle biopsy results and their integration with genetic testing outcomes.

Asunto(s)

RESUMEN

This article examines the integration of a Clinical Nurse Reasoning (CNR) model into advanced nursing practice training to develop the clinical reasoning skills of advanced practice nurses. The article explores the contribution of Callista Roy's conceptual model of adaptation and presents a global analysis of a complex care situation that justifies the introduction of an CNR model paired with nursing knowledge to ensure comprehensive, quality nursing care.

Asunto(s)