Medical Teacher最新文献

Diagnostic error is a significant category within preventable patient harm, and it takes many years of effort to develop proficiency in diagnostic reasoning. One of the key challenges medical schools must address is preparing students for the complexity, uncertainty and clinical responsibility in going from student to doctor. Recognising the importance of both cognitive and systems-related factors in diagnostic accuracy, we designed the QUID Prompt (Questions to Use for Improving Diagnosis) for students to refer to at the bedside. This set of questions prompts careful consideration, analysis, and signposting of decision-making processes, to assist students in transitioning from medical school to the real-world of work and achieving diagnostic excellence in clinical settings.

Purpose: Assessment in medical education has changed over time to measure the evolving skills required of current medical practice. Physical and biophysical markers of assessment attempt to use technology to gain insight into medical trainees' knowledge, skills, and attitudes. The authors conducted a scoping review to map the literature on the use of physical and biophysical markers of assessment in medical training.

Materials and methods: The authors searched seven databases on 1 August 2022, for publications that utilized physical or biophysical markers in the assessment of medical trainees (medical students, residents, fellows, and synonymous terms used in other countries). Physical or biophysical markers included: heart rate and heart rate variability, visual tracking and attention, pupillometry, hand motion analysis, skin conductivity, salivary cortisol, functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS). The authors mapped the relevant literature using Bloom's taxonomy of knowledge, skills, and attitudes and extracted additional data including study design, study environment, and novice vs. expert differentiation from February to June 2023.

Results: Of 6,069 unique articles, 443 met inclusion criteria. The majority of studies assessed trainees using heart rate variability (n = 160, 36%) followed by visual attention (n = 143, 32%), hand motion analysis (n = 67, 15%), salivary cortisol (n = 67, 15%), fMRI (n = 29, 7%), skin conductivity (n = 26, 6%), fNIRs (n = 19, 4%), and pupillometry (n = 16, 4%). The majority of studies (n = 167, 38%) analyzed non-technical skills, followed by studies that analyzed technical skills (n = 155, 35%), knowledge (n = 114, 26%), and attitudinal skills (n = 61, 14%). 169 studies (38%) attempted to use physical or biophysical markers to differentiate between novice and expert.

Conclusion: This review provides a comprehensive description of the current use of physical and biophysical markers in medical education training, including the current technology and skills assessed. Additionally, while physical and biophysical markers have the potential to augment current assessment in medical education, there remains significant gaps in research surrounding reliability, validity, cost, practicality, and educational impact of implementing these markers of assessment.

Purpose: The concept of Entrustable Professional Activities (EPA) is increasingly used to operationalize learning in the clinical workplace, yet little is known about the emotions of learners feeling the responsibility when carrying out professional tasks.

Methods: We explored the emotional experiences of medical students in their final clerkship year when performing clinical tasks. We used an online reflective diary. Text entries were analysed using inductive-deductive content analysis with reference to the EPA framework and the control-value theory of achievement emotions.

Results: Students described a wide range of emotions related to carrying out various clinical tasks. They reported positive-activating emotions, ranging from enjoyment to relaxation, and negative-deactivating emotions, ranging from anxiety to boredom. Emotions varied across individual students and were related to the characteristics of a task, an increasing level of autonomy, the students' perceived ability to perform a task and the level of supervision provided.

Discussion: Emotions are widely present and impact on the workplace learning of medical students which is related to key elements of the EPA framework. Supervisors play a key role in eliciting positive-activating emotions and the motivation to learn by providing a level of supervision and guidance appropriate to the students' perceived ability to perform the task.

Purpose: Delivering fair and reliable summative assessments in medical education assumes examiner decision making is devoid of bias. We investigated whether candidate racial appearances influenced examiner ratings in undergraduate clinical exams.

Methods: We used an internet-based design. Examiners watched a randomised set of six videos of three different white candidates and three different non-white (Asian, black and Chinese) candidates taking a clinical history at either fail, borderline or pass grades. We compared the median and interquartile range (IQR) of the paired difference between scores for the white and non-white candidates at each performance grade and tested for statistical significance.

Results: 160 Examiners participated. At the fail grade, the black and Chinese candidates scored lower than the white candidate, with median paired differences of -2.5 and -1 respectively (both p < 0.001). At the borderline grade, the black and Chinese candidates scored higher than the white candidate, with median paired differences of +2 and +3, respectively (both p < 0.001). At the passing grade, the Asian candidate scored lower than the white candidate (median paired difference -1, p < 0.001).

Conclusion: The racial appearance of candidates appeared to influence the scores awarded by examiners, but not in a uniform manner.

Purpose: Serious illness communication skills are essential for physicians, yet competency-based training is lacking. We address scalability barriers to competency-based communication skills training by assessing the feasibility of a multi-center, virtual simulation-based mastery learning (vSBML) curriculum on breaking bad news (BBN).

Methods: First-year emergency medicine residents at three academic medical centers participated in the virtual curriculum. Participants completed a pretest with a standardized patient (SP), a workshop with didactics and small group roleplay with SPs, a posttest with an SP, and additional deliberate practice sessions if needed to achieve the minimum passing standard (MPS). Participants were assessed using a previously published BBN assessment tool that included a checklist and scaled items. Authors compared pre- and posttests to evaluate the impact of the curriculum.

Results: Twenty-eight (90%) of 31 eligible residents completed the curriculum. Eighty-nine percent of participants did not meet the MPS at pretest. Post-intervention, there was a statistically significant improvement in checklist performance (Median= 93% vs. 53%, p < 0.001) and on all scaled items assessing quality of communication. All participants ultimately achieved the MPS.

Conclusions: A multi-site vSBML curriculum brought all participants to mastery in the core communication skill of BBN and represents a feasible, scalable model to incorporate competency-based communication skills education in a widespread manner.

Background: All individuals and groups have blind spots that can create problems if unaddressed. The goal of this study was to examine blind spots in medical education from international perspectives.

Methods: From December 2022 to March 2023, we distributed an electronic survey through international networks of medical students, postgraduate trainees, and medical educators. Respondents named blind spots affecting their medical education system and then rated nine blind spot domains from a study of U.S. medical education along five-point Likert-type scales (1 = much less attention needed; 5 = much more attention needed). We tested for differences between blind spot ratings by respondent groups. We also analyzed the blind spots that respondents identified to determine those not previously described and performed content analysis on open-ended responses about blind spot domains.

Results: There were 356 respondents from 88 countries, including 127 (44%) educators, 80 (28%) medical students, and 33 (11%) postgraduate trainees. At least 80% of respondents rated each blind spot domain as needing 'more' or 'much more' attention; the highest was 88% for 'Patient perspectives and voices that are not heard, valued, or understood.' In analyses by gender, role in medical education, World Bank country income level, and region, a mean difference of 0.5 was seen in only five of the possible 279 statistical comparisons. Of 885 blind spots documented, new blind spot areas related to issues that crossed national boundaries (e.g. international standards) and the sufficiency of resources to support medical education. Comments about the nine blind spot domains illustrated that cultural, health system, and governmental elements influenced how blind spots are manifested across different settings.

Discussion: There may be general agreement throughout the world about blind spots in medical education that deserve more attention. This could establish a basis for coordinated international effort to allocate resources and tailor interventions that advance medical education.

Background: It is unclear whether alternating placements during clinical clerkship, without an explicit emphasis on clinical competencies, would bring about optimal educational outcomes.

Methods: This is an explanatory sequential mixed-methods research. We enrolled a convenience sample of 41 eight-year programme medical students in Sun Yat-sen University who received alternating placements during clerkship. The effects of competence-based approach (n = 21) versus traditional approach (n = 20) to clerkship teaching were compared. In the quantitative phase, course satisfaction was measured via an online survey and academic performance was determined through final scores on summative assessment. Then, in the qualitative phase, students were invited for semi-structured interviews about their learning experiences, and the transcripts were used for thematic analysis.

Results: Quantitative findings showed that students in the study group rated high course satisfaction and performed significantly better in their final scores compared with those in the control group. Qualitative findings from thematic analysis showed that students were relatively neutral about their preference on placement models, but clearly perceived, capitalised, and appreciated that their competencies were being cultivated by an instructor who was regarded as a positive role model.

Conclusion: A competence-based approach to clerkship teaching resulted in better course satisfaction and academic performance, and was perceived, capitalised, and appreciated by students.

What is the educational challenge? The Medical Education Research Study Quality Instrument (MERSQI) is widely used to evaluate the quality of quantitative research in medical education. It has strong evidence of validity and is endorsed by guidelines. However, the manual appraisal process is time-consuming and resource-intensive, highlighting the need for more efficient methods. What are the proposed solutions? We propose to use ChatGPT to evaluate the quality of medical education research with the MERSQI and compare its scoring with those of human evaluators. What are the potential benefits to a broader global audience? Using ChatGPT to evaluate medical education research with the MERSQI can decrease the resources required for quality appraisal. This allows faster summaries of evidence, reducing the workload of researchers, editors, and educators. Furthermore, ChatGPTs' capability to extract supporting excerpts provides transparency and may have the potential for data extraction and training new medical education researchers. What are the next steps? We plan to continue evaluating medical education research with ChatGPT using the MERSQI and other instruments to determine its feasibility in this realm. Moreover, we plan to investigate which types of studies ChatGPT performs best in.

Introduction: Multiple-choice questions (MCQs) are frequently used for formative assessment in medical school but often lack sufficient answer explanations given time-restraints of faculty. Chat Generated Pre-trained Transformer (ChatGPT) has emerged as a potential student learning aid and faculty teaching tool. This study aims to evaluate ChatGPT's performance in answering and providing explanations for MCQs.

Method: Ninety-four faculty-generated MCQs were collected from the pre-clerkship curriculum at a US medical school. ChatGPT's accuracy in answering MCQ's were tracked on first attempt without an answer prompt (Pass 1) and after being given a prompt for the correct answer (Pass 2). Explanations provided by ChatGPT were compared with faculty-generated explanations, and a 3-point evaluation scale was used to assess accuracy and thoroughness compared to faculty-generated answers.

Results: On first attempt, ChatGPT demonstrated a 75% accuracy in correctly answering faculty-generated MCQs. Among correctly answered questions, 66.4% of ChatGPT's explanations matched faculty explanations, and 89.1% captured some key aspects without providing inaccurate information. The amount of inaccurately generated explanations increases significantly if the questions was not answered correctly on the first pass (2.7% if correct on first pass vs. 34.6% if incorrect on first pass, p < 0.001).

Conclusion: ChatGPT shows promise in assisting faculty and students with explanations for practice MCQ's but should be used with caution. Faculty should review explanations and supplement to ensure coverage of learning objectives. Students can benefit from ChatGPT for immediate feedback through explanations if ChatGPT answers the question correctly on the first try. If the question is answered incorrectly students should remain cautious of the explanation and seek clarification from instructors.