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Record W1524085171

Rural-urban and gender differences in procedures performed by family practice residency graduates.

2002· article· en· W1524085171 on OpenAlexaffabout
R G Chaytors, Olga Szafran, R A Crutcher

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFamily medicineMetropolitan areaResidency trainingCross-sectional studyRural areaClinical PracticeNursingMedical education
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: We compared the types of procedures performed and obstetrical care provided by family practice residency graduates, by practice location and physician gender METHODS: We conducted a cross-sectional questionnaire survey of 702 graduates who completed family practice residency programs in Alberta, Canada, from 1985 to 1995, inclusive. Graduates were asked to indicate which of 28 procedures and 7 obstetrical care practices they performed. The data were analyzed by gender and current practice location. RESULTS: A total of 442 (63%) of the graduates responded to the survey. The top five procedures performed by family practice graduates were minor office surgery, foreign body removal (eye), joint aspiration, joint injection, and anterior nasal packing. There was a declining trend in the number of procedures performed by family practice graduates from rural, to regional, to metropolitan areas. Relatively more males performed procedures; however, more females did IUD insertion and obstetrical care practice. Except for a few exceptions, a similar proportion of male and female graduates in rural practice performed procedures. CONCLUSIONS: The procedural and obstetrical care pattern of practice differs between family practice graduates in rural and urban areas, as well as between male andfemale graduates. Family practice residency programs should consider additional training in procedural skills for those planning to practice in rural areas, as well as encourage females to become skilled at performing procedures relevant to family practice.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.259
Teacher spread0.195 · 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 designObservational
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

Citations52
Published2002
Admission routes2
Has abstractyes

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