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Record W4386304371 · doi:10.1186/s12909-023-04600-x

Medical specialty certification exams studied according to the Ottawa Quality Criteria: a systematic review

2023· review· en· W4386304371 on OpenAlexaboutno aff
Daniel Staudenmann, Noemi Waldner, Andrea Carolin Lörwald, Sören Huwendiek

Bibliographic record

VenueBMC Medical Education · 2023
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyCertificationSummative assessmentMedical educationMedicineFamily medicineQuality (philosophy)Inclusion (mineral)PsychologyPolitical scienceFormative assessmentPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Medical specialty certification exams are high-stakes summative assessments used to determine which doctors have the necessary skills, knowledge, and attitudes to treat patients independently. Such exams are crucial for patient safety, candidates' career progression and accountability to the public, yet vary significantly among medical specialties and countries. It is therefore of paramount importance that the quality of specialty certification exams is studied in the scientific literature. METHODS: In this systematic literature review we used the PICOS framework and searched for papers concerning medical specialty certification exams published in English between 2000 and 2020 in seven databases using a diverse set of search term variations. Papers were screened by two researchers independently and scored regarding their methodological quality and relevance to this review. Finally, they were categorized by country, medical specialty and the following seven Ottawa Criteria of good assessment: validity, reliability, equivalence, feasibility, acceptability, catalytic and educational effect. RESULTS: After removal of duplicates, 2852 papers were screened for inclusion, of which 66 met all relevant criteria. Over 43 different exams and more than 28 different specialties from 18 jurisdictions were studied. Around 77% of all eligible papers were based in English-speaking countries, with 55% of publications centered on just the UK and USA. General Practice was the most frequently studied specialty among certification exams with the UK General Practice exam having been particularly broadly analyzed. Papers received an average of 4.2/6 points on the quality score. Eligible studies analyzed 2.1/7 Ottawa Criteria on average, with the most frequently studied criteria being reliability, validity, and acceptability. CONCLUSIONS: The present systematic review shows a growing number of studies analyzing medical specialty certification exams over time, encompassing a wider range of medical specialties, countries, and Ottawa Criteria. Due to their reliance on multiple assessment methods and data-points, aspects of programmatic assessment suggest a promising way forward in the development of medical specialty certification exams which fulfill all seven Ottawa Criteria. Further research is needed to confirm these results, particularly analyses of examinations held outside the Anglosphere as well as studies analyzing entire certification exams or comparing multiple examination methods.

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)0.021
metaresearch head score (Gemma)0.284
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.284
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.004

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 head0.209
GPT teacher head0.529
Teacher spread0.320 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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