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Record W3153172127 · doi:10.2106/jbjs.oa.20.00124

The Challenge of Defining Entrustable Professional Activities in Orthopaedics

2021· article· en· W3153172127 on OpenAlexaboutno aff
Shepard R. Hurwitz, Michelle A. James

Bibliographic record

VenueJBJS Open Access · 2021
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsVettingArgument (complex analysis)PublishingTrustworthinessPublicationQuality (philosophy)Audience measurementEditorial boardChecklistMedicineLawLibrary scienceComputer sciencePsychologyPolitical scienceInternet privacyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

The leadership of JBJS has been consistent over many years in vetting manuscripts to ensure that readers are given orthopaedic information that is accurate and trustworthy. It may be that, sometimes, reviewers and editors do not agree with the logic or findings of a well-presented manuscript; however, all published manuscripts should be truthful and rigorous in defining the methods and results. Like many of the professional journals in the medical field, JBJS relies on peer review to judge the quality of manuscripts and to recommend publication, revision, or rejection. Peer review is a very important step in the delivery of scientific information to our readers, enabling them to trust information to be reliable enough to use in patient care or research. The orthopaedic readership trusts JBJS because they know that the possibility of falsehood and error within published manuscripts is small. We are publishing an article in the AOA Critical Issues in Education channel of JBJS Open Access (“Entrustable Professional Activities in Orthopaedics”) that some reviewers felt strongly had flaws that could not be corrected and therefore should not be published. Other reviewers and members of the editorial board felt that the topic of the manuscript was important and timely, and despite the acknowledged shortcomings, the manuscript was worthy of publication after revision. Another argument for publication was the importance of having a manuscript on this topic appear in a JBJS journal to promote better research methodology on the issue in the near future and to catch up with other medical specialties that are ahead of orthopaedics in teaching and using the tool that is the core focus of this manuscript. The topic of the article is Entrustable Professional Activities (EPAs), which are core tasks that faculty trust that a trainee—a resident or fellow—can do competently with minimal or no supervision. As the training of orthopaedic residents shifts toward competency-based metrics, rather than time-based learning, the performance of EPAs can be used to assess the ability of trainees to master knowledge and skill and, ultimately, to act as independent providers. The manuscript is from a respected group of orthopaedic educators from the University of Toronto. Their research was guided by a worthy question, and the methodology was rigorous although possibly skewed in EPA selection, especially regarding some of the EPAs that were not included in the manuscript. As part of their research method, the authors applied an evaluative process that resulted in the inclusion of only 1 EPA for the hand and wrist, 1 for the elbow, and 4 non–sports-related EPAs for the shoulder and proximal part of the humerus. The authors defended this process, maintaining that the main conclusion was correct and that residency directors could find ways to add EPAs for areas that were not included or were underrepresented. The authors also outlined in great detail how local program directors can create their own EPAs for use in their own training programs. In the final analysis, after several revisions (and some increase in the number of EPAs), the editors felt that the manuscript should be published to start the conversation about EPAs in orthopaedic training and spur new research that can build on this initial JBJS Open Access article. Although the manuscript may have deficiencies, it does not lack scientific integrity. In conclusion, the readership and future leaders in orthopaedic education will weigh in and have the final say on this topic.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.451
metaresearch head score (Gemma)0.705
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.451
Threshold uncertainty score0.677

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4510.705
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0120.007
Science and technology studies0.0130.099
Scholarly communication0.0620.065
Open science0.0120.045
Research integrity0.0210.057
Insufficient payload (model declined to judge)0.0050.006

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 head0.056
GPT teacher head0.454
Teacher spread0.398 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2021
Admission routes1
Has abstractyes

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