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Record W7014441074

Pathways to Competence: Exploring the Basis of Operative Competency Decisions in Trauma & Orthopaedics Training

2022· other· en· W7014441074 on OpenAlexaboutno aff

Bibliographic record

VenueQueen Mary Research Online (Queen Mary University of London) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Grounded theoryQualitative researchQualitative analysisPatient safetyMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Purpose of study Postgraduate surgical training is grounded in the expectation that individuals acquire increasing levels of responsibility and independence, supported by evidence from assessments, within an operative competency framework. It remains unclear and controversial as to whether current training frameworks are sufficiently effective at supporting competency decisions, which has patient safety implications. The purpose of this research was, using trauma and orthopaedics as context, to explore what operative competence means and how it is assessed by key stakeholders. It also probed how they perceive competence and make competence judgements about others. Methods Sixteen participants were purposively sampled from two geographically distinct T&O communities, the UK (n = 5) and Canada (n = 11). Grounded theory, a qualitative methodology, was used. This prioritises participants’ experiences and recognises that data are co-constructed by participants and researchers. Semi-structured interviews were used for data-collection and were analysed in an iterative and emergent fashion using the constant comparative method. Results The components that emerged as necessary clinician qualities in order for them to be deemed competent appeared to align with four Ps (practicality, preparedness, professionalism and planning). These were framed by insight, to be deemed competent. This research also revealed the intangibility of the concept of operative competency and highlighted the use of gestalts. It highlights work-based assessments as tools to facilitate and evidence feedback conversations, instead of their intended role as evaluations. Conclusions This research suggests that decisions around operative competence may not reflect cognitive, affective processes or skills. This raises uncertainties regarding current approaches in which operative competency is judged and evidenced, with participants claiming to “know it when I see it”. Technical competence was found to be a minor part of determining competence, with data drawing attention to something in the research questions’ margins; insight as the most valued marker and fundamental to operative competency.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.365
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0050.004
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0150.000

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 head0.164
GPT teacher head0.344
Teacher spread0.180 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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