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Record W4412659710 · doi:10.1080/0142159x.2025.2532779

Experiences of remediation in family medicine postgraduate education: An interpretative phenomenological analysis

2025· article· en· W4412659710 on OpenAlexaffabout
Sara Turcotte, Perle Feldman, Fok‐Han Leung, Milena Forte, Charo Rodríguez

Bibliographic record

VenueMedical Teacher · 2025
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMount Sinai HospitalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversity of TorontoMcGill UniversityMcGill University Health CentreCentres Intégré Universitaires de Santé et de Services Sociaux
Fundersnot available
KeywordsInterpretative phenomenological analysisMedical educationMedicinePsychologyPhenomenology (philosophy)PedagogyFamily medicineSociologyQualitative researchEpistemologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

PURPOSE: Remediation programs in postgraduate medical education aim to help struggling residents successfully complete their training and graduate. Research has mostly focused on educators' and program directors' perspectives on the development and quality of remediation programs. However, little is known about the experience of being remediated. This investigation aimed to understand how practicing family physicians who underwent remediation during their residency experienced their remediation program. MATERIALS AND METHODS: In this Interpretative Phenomenological Analysis (IPA) study, we purposively sampled six family medicine practitioners who underwent successful remediation as residents in a Canadian medical school. We individually interviewed them in-depth, one to six years after graduation. For data analysis, we combined IPA thematic and narrative techniques. RESULTS: While each participant had a unique experience of remediation, we identified a common longitudinal process of four consecutive periods: pre-remediation, remediation, and early and late post-remediation. All participants experienced the remediation announcement as shocking, surprising, and disruptive, as most were unaware that they were not reaching the expected competency standards. This triggered the hot-cognition learning process that characterized the initial phases of their remediation experience. During remediation, they went through a progressive reorganization of a self-coherent professional identity formation process, mediated by the interactions with their educators. In the early post-remediation phase, most participants accepted their teachers' and institution's educational evaluations and expectations. Some, however, started developing a dissonant professional identity vis-à-vis their community of practice. In the late post-remediation phase, most participants viewed their remediation experiences as beneficial to their career development, but others felt lasting harm, evidenced by less career satisfaction and practice advancement. DISCUSSION: The experience of being remediated in postgraduate medical education is an emotionally charged one. It is modulated by a variety of personal factors and surrounding features. The quality of interactions between residents who need remediation and their remediators appears to be a critical element in the success of a remediation program. Remediation, even when successful, is a shocking and emotionally challenging educational experience for those who undergo it, with important and lasting implications.

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)0.010
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.012
Scholarly communication0.0040.005
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.410
Teacher spread0.378 · 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.

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".

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Citations4
Published2025
Admission routes2
Has abstractyes

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