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Record W3198191576 · doi:10.1080/10401334.2021.1954930

Difficulties with Learning Musculoskeletal Physical Examination Skills: Student Perspectives and General Lessons Learned for Curricular Design

2021· article· en· W3198191576 on OpenAlexaff
Jaime C. Yu, Marghalara Rashid, Andrea Dávila-Cervantes, Carol S. Hodgson

Bibliographic record

VenueTeaching and Learning in Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCurriculumCompetence (human resources)Medical educationQualitative researchPsychologyFocus groupGrounded theoryMedicinePhysical examinationObjective structured clinical examinationPedagogy

Abstract

fetched live from OpenAlex

Phenomenon: The development of foundational clinical skills, such as physical examination, is essential to becoming a competent clinician. Musculoskeletal medicine is often considered a specialized area of practice despite the high prevalence of musculoskeletal conditions in the general population and presenting to general clinical practices. Prior work has shown that medical learners and practicing clinicians have low confidence in these skills but understanding of the student perspective on why these skills are more difficult to acquire is unclear.Approach: Our study was guided by social constructivist learning theory to explore the learner experience and present their perspectives. Qualitative analysis investigated the difference between learning musculoskeletal physical examination versus other body systems, using the voices from 11 semi-structured focus group interviews. Participants included third-year medical students across two academic cohorts at one institution. Our analysis was grounded in the principles of phenomenology and used triangulation and reflexivity to provide rigorous analysis.Findings: Students provided rich and insightful perspectives regarding their experiences in learning musculoskeletal physical examination techniques. Four themes were developed from our data: a) the need for opportunities for both supervised and self-directed practice; b) assessment and competence as motivations for learning; c) the need for a different approach to the content and structure of musculoskeletal medicine and its associated examination techniques; and d) the need for distinct expertise and technical skill from musculoskeletal examination teachers.Insights: This study provides a valuable lens to critically reflect on existing curriculum and pedagogical approaches to musculoskeletal examination skills. Lessons from this study may be applicable to curriculum design in general, especially the teaching of physical examination skills, such as how it is taught and integrated with other content (including anatomy), how much practice is required, who teaches physical examination skills, and what faculty development is needed to standardize teaching. Promoting a learner-centered approach to the teaching and learning of these clinical skills will be beneficial to all stakeholders, especially to our future physicians and their patients.Supplemental data for this article is available online at https://doi.org/10.1080/10401334.2021.1954930 .

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.352
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2021
Admission routes1
Has abstractyes

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