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Record W1974057428 · doi:10.1177/0163278707307924

Assessment of Family Physicians' Performance Using Patient Charts

2007· article· en· W1974057428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEvaluation & the Health Professions · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsAssociation des Médecins d'Urgence du Québec
Fundersnot available
KeywordsChartMedicineInter-rater reliabilityRecallConcordanceMedical recordReliability (semiconductor)Cohen's kappaFamily medicinePsychologyStatisticsRating scale

Abstract

fetched live from OpenAlex

Peer-assessment processes with chart review have been used for many years to assess the clinical performance of physicians. The Quebec medical licensing authority has been required by provincial law to assess the practicing Quebec physicians on a nonvoluntary basis. During the period from January 2001 to November 2004, 25 family physicians in active practice were randomly selected from a pool of about 300. For each physician, 25 to 40 patients' medical charts were randomly selected to evaluate the interrater reliability of peer-review assessment of medical charts and to compare ratings based on chart review with a chart-stimulated recall interview to those based on chart review alone. The concordance between chart review alone and that of chart review with chart-stimulated recall interview was 75% for chart keeping, 69% for clinical investigation, 81% for diagnostic accuracy, and 74% for treatment plan. Ratings based on chart review alone achieve moderate levels of reliability (Kappa = 0.44 to 0.56). It appears that some important information about quality of care is missed when only chart review is used.

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.

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)0.023
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.419
GPT teacher head0.605
Teacher spread0.186 · 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