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Record W3038433871 · doi:10.1097/acm.0000000000003561

Professional Identity Formation: A Role for Patients as Mentors

2020· article· en· W3038433871 on OpenAlexaff
Cathy Kline, So Eyun Park, William Godolphin, Angela Towle

Bibliographic record

VenueAcademic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British ColumbiaLearning Partnership
Fundersnot available
KeywordsIdentity (music)General partnershipConstruct (python library)Medical educationHealth professionalsProfessional developmentMedicineHealth carePsychologyNursing

Abstract

fetched live from OpenAlex

PURPOSE: Medical education should foster professional identity formation, but there is much to be learned about how to support learners in developing their professional identity. This study examined the role that patients can play in supporting professional identity development during the University of British Columbia Interprofessional Health Mentors Program (HMP), a longitudinal preclinical elective in which patients, or their caregivers, act as mentors and educate students about their lived experience of a chronic condition or disability. METHOD: The authors interviewed 18 medical residents in 2016, 3 to 4 years after they completed the HMP. Professional identity was explored by asking participants how the HMP had influenced their ideas about the ideal physician and the kind of doctor they aspire to become. The authors analyzed the data using the identify status paradigm as a conceptual framework. RESULTS: The authors identified 7 themes: patient as more than disease, patient as autonomous, patient as expert, doctor as partner, doctor as collaborator, self-aware doctor, and empathic doctor. They found firm commitments to patient partnership, interprofessional collaboration, and holistic care for patients rooted in the exploration of professional values that was prompted by patient mentors during HMP. CONCLUSIONS: Patient mentors can help medical students begin to construct their professional identity during the preclinical period by supporting exploration of and commitment to the professional values that society expects of physicians.

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)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.395
Teacher spread0.364 · 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 designNot applicable
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

Citations47
Published2020
Admission routes1
Has abstractyes

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