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Record W2792906316

Pathways to rural family practice at Memorial University of Newfoundland.

2018· article· en· W2792906316 on OpenAlexaffabout
James Rourke, Danielle O’Keefe, Mohamed Ravalia, Scott Moffatt, Wanda Parsons, Norah Duggan, Katherine Stringer, Michael Jong, Kristin Harris Walsh, Janelle Hippe

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineFamily medicineMedical schoolGerontologyMedical education
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess Memorial University of Newfoundland's (MUN's) commitment to a comprehensive pathways approach to rural family practice, and to determine the national and provincial effects of applying this approach. DESIGN: Analysis of anonymized secondary data. SETTING: Canada. PARTICIPANTS: Memorial's medical degree (MD) graduates practising family medicine in Newfoundland and Labrador as of January 2015 (N = 305), MUN's 2011 and 2012 MD graduates (N = 120), and physicians who completed family medicine training programs in Canada between 2004 and 2013 and who were practising in Canada 2 years after completion of their postgraduate training (N = 8091). MAIN OUTCOME MEASURES: National effect was measured by the proportion of MUN's family medicine program graduates practising in rural Canada compared with those from other Canadian family medicine training programs. Provincial effect was measured by the location of MUN's MD graduates practising family medicine in Newfoundland and Labrador as of January 2015. Commitment to a comprehensive pathways approach to rural family practice was measured by anonymized geographic data on admissions, educational placements, and practice locations of MUN's 2011 and 2012 MD graduates, including those who completed family medicine residencies at MUN. RESULTS: Memorial's comprehensive pathways approach to training physicians for rural practice was successful on both national and provincial levels: 26.9% of MUN family medicine program graduates were in a rural practice location 2 years after exiting their post-MD training from 2004 to 2013 compared with the national rate of 13.3% (national effect); 305 of MUN's MD graduates were practising family medicine in Newfoundland and Labrador as of 2015, with 36% practising in rural areas (provincial effect). Of 114 MD students with known background who graduated in 2011 and 2012, 32% had rural backgrounds. Memorial's 2011 and 2012 MD graduates spent 20% of all clinical placement weeks in rural areas; of note, 90% of all first-year placements and 95% of third-year family medicine clerkship placements were rural. For the 25 MUN 2011 and 2012 MD graduates who also completed family medicine residencies at MUN, 38% of family medicine placement weeks were spent in rural communities or rural towns. Of the 30 MUN 2011 and 2012 MD graduates practising family medicine in Canada as of January 2015, 42% were practising in rural communities or rural towns; 73% were practising in Newfoundland and Labrador and half of those were in rural communities and rural towns. CONCLUSION: A comprehensive rural pathways approach that includes recruiting rural students and exposing all medical students to extensive rural placements and all family medicine residents to rural family practice training has resulted in more rural generalist physicians in family practice in Newfoundland and Labrador and across Canada.

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 categoriesInsufficient payload (model declined to judge)
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 score0.155
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.059
GPT teacher head0.352
Teacher spread0.293 · 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

Citations14
Published2018
Admission routes2
Has abstractyes

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