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Record W1990052888 · doi:10.3109/13561820.2014.884552

Implications of early workplace experiences on continuing interprofessional education for physicians and nurses

2014· article· en· W1990052888 on OpenAlexaffabout
Kiran Veerapen, Mary Ellen Purkis

Bibliographic record

VenueJournal of Interprofessional Care · 2014
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsInterprofessional educationFormative assessmentTransformative learningTeamworkNursingMedical educationPsychologyInterdependenceWorkloadProfessional developmentMedicineHealth carePedagogySociologyPolitical scienceManagement

Abstract

fetched live from OpenAlex

Formative experiences, identities and collaborative strategies of nurses and physicians need to be appreciated to develop transformative interprofessional education for them. This article develops the collaborative profiles of recently graduated physicians and nurses based on a phenomenological study conducted at tertiary training hospitals in Canada and the United Kingdom. Recent nursing and medical graduates were interviewed to study the impact of undergraduate professional education on their ability to practice collaboratively in the workplace. The impact of undergraduate professional education on teamwork was found to be diluted by internal contradictions and overshadowed by the demands and contingencies of the workplace reported here. Initiation into the workplace was frequently precipitous and for residents the workplace environment was fluid and repeatedly new, as they rotated through various disciplines in the hospital. In busy wards, interdependent but competing priorities led to the development of adversarial uniprofessional identities and derogatory stereotyping of the other. Both groups were overwhelmed by high workload, unpreparedness and responsibility. Cross generational and gender based interactions also provoked resentment. Over time collaborative attitudes became blunted and interprofessional identities were renegotiated. Continuing interprofessional education, for recent graduates that prioritises problem areas, alongside appropriate structural changes could potentially transform the prevalent culture and impact teamwork downstream.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.015
GPT teacher head0.433
Teacher spread0.417 · 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 designQualitative
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

Citations28
Published2014
Admission routes2
Has abstractyes

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