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Record W3096991032 · doi:10.31128/ajgp-08-19-5028

Are we preparing Victorian general practice registrars to be confident in all aspects of primary care paediatrics?

2020· article· en· W3096991032 on OpenAlexaff
Suzannah Williames, Meredith Temple‐Smith, Patty Chondros, Neil Spike, Angelina Salamone, Parker Magin, Harriet Hiscock, Lena Sanci

Bibliographic record

VenueAustralian Journal of General Practice · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsPrimary careGeneral practiceMedicineMedical educationNursingFamily medicinePediatricsPsychology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: General practitioners provide essential primary care to paediatric patients. The aim of this study was to explore associations between prevocational paediatric experiences of general practice registrars and their confidence in providing paediatric care in the general practice setting. METHOD: This was a cross-sectional observational study. Paediatric experiences and level of confidence ratings were collected using an online survey emailed to 530 Victorian general practice registrars in 2017; the response rate was 41% (217/530). Analysis used descriptive statistics, cross tabulation and Fishers' exact test. RESULTS: The most common paediatric training was undertaken in a general hospital emergency department (180/197, 91%). The majority of registrars reported that they felt confident or very confident in managing acute presentations (92% for upper respiratory tract infection, 80% for asthma, 81% for immunisation), but fewer were confident in managing mental health, behavioural or developmental presentations (all <36%). DISCUSSION: Registrars felt more confident managing acute presentations. However, the predominantly hospital-based prevocational paediatric training offers limited exposure to - and, thus, confidence in - managing behavioural, mental health and developmental issues. Training opportunities to address this identified gap should be explored.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.085
GPT teacher head0.328
Teacher spread0.244 · 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.

Study designNot applicable
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

Citations10
Published2020
Admission routes1
Has abstractyes

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