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Record W2904748510 · doi:10.1186/s12909-018-1403-z

Overcoming the barriers of teaching physical examination at the bedside: more than just curriculum design

2018· article· en· W2904748510 on OpenAlexaff
Mélissa Rousseau, Karen D. Könings, Claire Touchie

Bibliographic record

VenueBMC Medical Education · 2018
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsCurriculumThematic analysisMedical educationContext (archaeology)MedicineConstruct (python library)Qualitative researchPerceptionPhysical examinationPsychologyPedagogyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Physicians in training must achieve a high degree of proficiency in performing physical examinations and must strive to become experts in the field. Concerns are emerging about physicians' abilities to perform these basic skills, essential for clinical decision making. Learning at the bedside has the potential to support skill acquisition through deliberate practice. Previous skills improvement programs, targeted at teaching physical examinations, have been successful at increasing the frequency of performing and teaching physical examinations. It remains unclear what barriers might persist after such program implementation. This study explores residents' and physicians' perceptions of physical examinations teaching at the bedside following the implementation of a new structured bedside curriculum: What are the potentially persisting barriers and proposed solutions for improvement? METHODS: The study used a constructivist approach using a qualitative inductive thematic analysis that was oriented to construct an understanding of the barriers and facilitators of physical examination teaching in the context of a new bedside curriculum. Participants took part in individual interviews and subsequently focus groups. Transcripts were coded and themes were identified. RESULTS: Data analyses yielded three main themes: (1) the culture of teaching physical examination at the bedside is shaped and threatened by the lack of hospital support, physicians' motivation and expertise, residents' attitudes and dependence on technology, (2) the hospital environment makes bedside teaching difficult because of its chaotic nature, time constraints and conflicting responsibilities, and finally (3) structured physical examination curricula create missed opportunities in being restrictive and pose difficulties in identifying patients with findings. CONCLUSIONS: Despite the implementation of a structured bedside curriculum for physical examination teaching, our study suggests that cultural, environmental and curriculum-related barriers remain important issues to be addressed. Institutions wishing to develop and implement similar bedside curricula should prioritize recruitment of expert clinical teachers, recognizing their time and efforts. Teaching should be delivered in a protected environment, away from clinical duties, and with patients with real findings. Physicians must value teaching and learning of physical examination skills, with multiple hands-on opportunities for direct role modeling, coaching, observation and deliberate practice. Ideally, clinical teachers should master the art of combining both patient care and educational activities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.371
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2018
Admission routes1
Has abstractyes

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