| Literature DB >> 35497678 |
Zahir Kanjee1, Anjala V Tess2.
Abstract
Introduction: Teaching on physical examination, especially evidence-based physical diagnosis, is at times lacking on general medicine rounds. We created a hospitalist faculty workshop on teaching evidence-based physical diagnosis.Entities:
Keywords: Clinical Reasoning/Diagnostic Reasoning; Clinical Teaching/Bedside Teaching; Evidence-Based Medicine/Knowledge Translation; Faculty Development; Hospital Medicine; Physical Examination
Mesh:
Year: 2022 PMID: 35497678 PMCID: PMC8986890 DOI: 10.15766/mep_2374-8265.11243
Source DB: PubMed Journal: MedEdPORTAL ISSN: 2374-8265
Figure 1.Structured approach for teaching evidence-based physical diagnosis: SAID-LR (State, Ask, Identify, Demonstrate, Look, Reinforce). State represents stating the problem, ideally in a case-based manner emphasizing the benefit of the exam. Ask represents assessing learner prior knowledge and eliciting misconceptions. Identify represents highlighting exam maneuvers with good evidence. Demonstrate represents performing and narrating the exam. Look represents watching learners attempt the exam. Reinforce represents repeating the exam on other patients and/or sharing papers/reviews on the topic.
Unpaired Analysis Comparing Pre- and Postworkshop Prioritization of Having a Systematic Approach to and Confidence in Teaching Evidence-Based Physical Diagnosis
Figure 2.Paired analysis box plots of preworkshop and postworkshop results. A: Comparison of agreement to the prompt “I make it a TOP PRIORITY to teach evidence-based physical diagnosis to my learners.” B: Comparison of agreement to the prompt “I have a SYSTEMATIC APPROACH to teaching evidence-based physical diagnosis.” C: Comparison of agreement to the prompt “I am VERY CONFIDENT in my ability to teach evidence-based physical diagnosis.” Responses were scored on a scale of 0 = strongly disagree, 1 = disagree, 2 = neither agree nor disagree, 3 = agree, and 4 = strongly agree. The vertical dark line represents the median, boxes represent upper and lower quartiles, whiskers represent variability outside of the quartiles, and, in panel C, the diamond represents an outlier. All differences are statistically significant.