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Record W1983710126 · doi:10.1080/01421590601034696

Physician assistants: education, practice and global interest

2007· article· en· W1983710126 on OpenAlexaboutno aff
Christine Legler, James F. Cawley, William H. Fenn

Bibliographic record

VenueMedical Teacher · 2007
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPhysician assistantsHealth careQuality (philosophy)Medical educationMedicinePrimary careNursingFamily medicinePolitical scienceNurse practitioners

Abstract

fetched live from OpenAlex

BACKGROUND: In the United States, the physician assistant (PA) model has proven to be a cost-effective way to train quality primary care providers with a high degree of acceptance of the PA role by patients and other healthcare providers. AIM: Discuss PA model as it pertains to other countries. METHODS: Review of relevant literature related to physician assistant education, practice and global interest. RESULTS: Several countries including the United Kingdom, Scotland, Canada, The Netherlands, Taiwan, South Africa and Ghana are exploring or re-exploring the concept of the physician assistant as a way to quickly and efficiently train and employ autonomous and flexible health workers to address their nation's healthcare needs. CONCLUSIONS: Physician assistant education is efficient and flexible and the PA model can be easily adapted to the specific health system needs of other nations. In addition, many PA programs have affiliation agreements with institutions outside of the United States to host PA students for clinical rotations and there is an ever-growing interest by students in international rotations. The Physician Assistant Education Association along with the American Academy of Physician Assistants is actively involved with sharing information about the PA profession with other countries.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.719
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.499
Teacher spread0.445 · 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

Citations18
Published2007
Admission routes1
Has abstractyes

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