MétaCan
Menu
Back to cohort
Record W2940065097 · doi:10.1097/acm.0000000000002764

Pathways to Independent Primary Care Clinical Practice: How Tall Is the Shortest Giant?

2019· article· en· W2940065097 on OpenAlexaff
Mantosh Dewan, John J. Norcini

Bibliographic record

VenueAcademic Medicine · 2019
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsAmerican Water (Canada)
Fundersnot available
KeywordsScope of practiceScope (computer science)WorkforcePrimary careMedical educationMedicineProfessional developmentFamily medicinePsychologyHealth careComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Patients can be treated by a physician, a nurse practitioner (NP), or a physician assistant (PA) despite marked differences in the education and training for these three professions. This natural experiment allows examination of a critical question: What is the minimum education and training required to practice primary care? In other words, how tall is the shortest giant? State licensing requirements, not educational bodies, legislate minimum training. The current minimum is 6 years, which includes 27.5 weeks of supervised clinical experience (SCE), for NPs. In comparison, PAs train for 6 years with 45 weeks of SCE, and physicians for at least 8 years with 110 weeks of SCE. Initial, flawed studies show equivalent patient outcomes among the professions. If rigorous follow-up studies confirm equivalence, the content and length of medical education for primary care physicians should be reconsidered. Unmatched medical school graduates, with 7 years of training and 65 weeks of SCE, more than the required minimum for NPs, deserve to practice independently. So do PAs. If equivalence is not confirmed, the minimum requirements for NPs and/or PAs should be raised, including considering a required residency (currently optional). Alternatively, the scope of practice for the three professions could be defined to reflect differences in training. There is an urgent need to set aside preconceived notions and turf battles, conduct rigorous independent studies, and generate meaningful data on practice patterns and patient outcomes. This should inform optimal training, scope of practice, and workforce development for each invaluable primary care clinical practitioner.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.002

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 head0.110
GPT teacher head0.488
Teacher spread0.378 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAcademic MedicineSame topicNursing Roles and PracticesFrench-language works237,207