Abstract
Objectives
The gastrointestinal (GI) physical exam provides critical information about underlying disease states. However, since assessment of physical examination skills is rarely conducted as part of internal medicine residency training, little is known about resident performance on the GI physical exam.
Methods
During a clinical skills assessment that took place between November 2019 and February 2020, internal medicine interns examined the same patient with chronic liver disease while being observed by faculty preceptors. We compared the exam maneuvers performed with those expected by the faculty evaluators. We noted which maneuvers were performed incorrectly, whether physical exam technique correlated with identification of physical exam findings, and if performance on the physical exam was associated with building an appropriate differential diagnosis. This four-hour assessment was required for internal medicine interns within two different residency programs in the Baltimore area.
Results
More than half of the 29 participating interns (n=17, 58.6 %) received a “needs improvement” score on their physical exam technique. Technique was highly correlated with identifying the correct physical signs (r=0.88, p<0.0001). The most commonly excluded maneuvers were assessing for splenomegaly and hepatomegaly. The most commonly missed findings were splenomegaly and hepatomegaly. Most interns included chronic liver disease as part of their differential diagnosis even if they received “needs improvement” scores on physical exam technique or identifying physical signs.
Conclusions
Internal medicine interns would benefit from learning an organized approach to the gastrointestinal exam. This would likely lead to increased identification of important gastrointestinal findings.
Funding source: Johns Hopkins Institute for Excellence in Education Berkheimer Faculty Scholars Award
Funding source: American Board of Medical Specialties Visiting Scholar Program (with support from the Gordon and Betty Moore Foundation)
Funding source: New York Academy of Medicine Jeremiah A. Barondess Fellowship in the Clinical Transaction (in collaboration with the Accreditation Council for Graduate Medical Education)
Award Identifier / Grant number: 10.13039/100007261
Funding source: American Medical Association Reimagining Residency Initiative
Funding source: Douglas Carroll Scholarship from the Johns Hopkins Center for Innovative Medicine
Acknowledgments
The authors would like to acknowledge the outstanding work of the interns and residents of the Johns Hopkins Osler and Bayview medical residencies and the patients who volunteered their time to teach them.
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Research ethics: All data collection and recruitment protocols were reviewed and approved by the Johns Hopkins Medicine Institutional Review Board (Protocol IRB00115500).
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no competing of interest.
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Research funding: This work was funded by the Johns Hopkins Institute for Excellence in Education Berkheimer Faculty Scholars Award, the New York Academy of Medicine Jeremiah A. Barondess Fellowship in the Clinical Transaction (in collaboration with the Accreditation Council for Graduate Medical Education), Funder Id: https://doi.org/10.13039/100007261, the American Board of Medical Specialties Visiting Scholar Program (with support from the Gordon and Betty Moore Foundation), the Douglas Carroll Scholarship from the Johns Hopkins Center for Innovative Medicine, and the American Medical Association Reimagining Residency Initiative. The content does not purport to reflect the views of the American Medical Association or any member of the Accelerating Change in Medical Education Consortium. The funding organizations played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Reviews
- Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors
- Routine blood test markers for predicting liver disease post HBV infection: precision pathology and pattern recognition
- Opinion Papers
- The challenge of clinical reasoning in chronic multimorbidity: time and interactions in the Health Issues Network model
- The first diagnostic excellence conference in Japan
- Clouds across the new dawn for clinical, diagnostic and biological data: accelerating the development, delivery and uptake of personalized medicine
- Original Articles
- Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in the diagnostic process
- Error codes at autopsy to study potential biases in diagnostic error
- Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data
- Detection of fake papers in the era of artificial intelligence
- Is language an issue? Accuracy of the German computerized diagnostic decision support system ISABEL and cross-validation with the English counterpart
- The feasibility of a mystery case curriculum to enhance diagnostic reasoning skills among medical students: a process evaluation
- Internal medicine intern performance on the gastrointestinal physical exam
- Scaling up a diagnostic pause at the ICU-to-ward transition: an exploration of barriers and facilitators to implementation of the ICU-PAUSE handoff tool
- Learned cautions regarding antibody testing in mast cell activation syndrome
- Diagnostic properties of natriuretic peptides and opportunities for personalized thresholds for detecting heart failure in primary care
- Incomplete filling of spray-dried K2EDTA evacuated blood tubes: impact on measuring routine hematological parameters on Sysmex XN-10
- Letters to the Editor
- The diagnostic accuracy of AI-based predatory journal detectors: an analogy to diagnosis
- Explainable AI for gut microbiome-based diagnostics: colorectal cancer as a case study
- Restless X syndrome: a new diagnostic family of nocturnal, restless, abnormal sensations of various body parts
- Erratum
- Retraction of: Establishing a stable platform for the measurement of blood endotoxin levels in the dialysis population
Artikel in diesem Heft
- Frontmatter
- Reviews
- Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors
- Routine blood test markers for predicting liver disease post HBV infection: precision pathology and pattern recognition
- Opinion Papers
- The challenge of clinical reasoning in chronic multimorbidity: time and interactions in the Health Issues Network model
- The first diagnostic excellence conference in Japan
- Clouds across the new dawn for clinical, diagnostic and biological data: accelerating the development, delivery and uptake of personalized medicine
- Original Articles
- Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in the diagnostic process
- Error codes at autopsy to study potential biases in diagnostic error
- Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data
- Detection of fake papers in the era of artificial intelligence
- Is language an issue? Accuracy of the German computerized diagnostic decision support system ISABEL and cross-validation with the English counterpart
- The feasibility of a mystery case curriculum to enhance diagnostic reasoning skills among medical students: a process evaluation
- Internal medicine intern performance on the gastrointestinal physical exam
- Scaling up a diagnostic pause at the ICU-to-ward transition: an exploration of barriers and facilitators to implementation of the ICU-PAUSE handoff tool
- Learned cautions regarding antibody testing in mast cell activation syndrome
- Diagnostic properties of natriuretic peptides and opportunities for personalized thresholds for detecting heart failure in primary care
- Incomplete filling of spray-dried K2EDTA evacuated blood tubes: impact on measuring routine hematological parameters on Sysmex XN-10
- Letters to the Editor
- The diagnostic accuracy of AI-based predatory journal detectors: an analogy to diagnosis
- Explainable AI for gut microbiome-based diagnostics: colorectal cancer as a case study
- Restless X syndrome: a new diagnostic family of nocturnal, restless, abnormal sensations of various body parts
- Erratum
- Retraction of: Establishing a stable platform for the measurement of blood endotoxin levels in the dialysis population