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Record W4403899198 · doi:10.1177/01632787241286911

Who’s at the Table? A Scoping Review of Stakeholder Engagement in Medical Education Program Evaluation

2024· review· en· W4403899198 on OpenAlexaff
Juliette Macabrey, Laura-Lou Wuest, David Buetti

Bibliographic record

VenueEvaluation & the Health Professions · 2024
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsStakeholderViewpointsStakeholder engagementMedical educationAccountabilityInclusion (mineral)Public relationsStakeholder analysisPsychologyProgram evaluationBest practiceMedicinePolitical science

Abstract

fetched live from OpenAlex

Program evaluation is essential for medical schools to demonstrate social accountability and identify areas for improvement in medical education (MEd). Although stakeholder engagement is crucial in program evaluation, no previous review has specifically examined the stakeholders involved in MEd program evaluation. This scoping review addresses this gap by identifying the stakeholders, their roles, and their levels of engagement in evaluating MEd programs, along with the facilitators and barriers to their participation. Through a systematic search across four databases, we identified 53 relevant studies out of 7206 screened. Our findings reveal seven primary stakeholder groups, with students and program directors being the most frequent participants. However, a significant gap exists in the representation of community members and patients, indicating a need for greater inclusion of these key stakeholders. Additionally, we found that stakeholders are primarily engaged as passive participants providing feedback rather than actively shaping the evaluation process. Facilitators and barriers to participation were identified from the participants' perspective, highlighting the need for further research to understand the viewpoints of active stakeholders, such as faculty and administrators. Future studies should also explore the impact of different evaluation approaches on stakeholder engagement to develop more inclusive and effective MEd program evaluations.

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)0.063
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0630.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.490
GPT teacher head0.642
Teacher spread0.152 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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