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Record W3214069002 · doi:10.1177/15271544211054431

The Tension Between Regulation and the Pursuit of Quality in Canadian Nurse Practitioner Education Programs

2021· article· en· W3214069002 on OpenAlexaboutno aff
Eric Staples

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2021
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationWorkforceExcellenceLegislationPatient safetyQuality (philosophy)NursingPolitical scienceMedicinePublic relationsMedical educationHealth care

Abstract

fetched live from OpenAlex

Nurses in advanced practice roles have existed in Canada for over 100 years, yet only in the last two decades, have nurse practitioners (NPs) been recognized as advanced practice nurses (APNs). During this time, NP educational programs have increased and transitioned from post-baccalaureate level to graduate level. Legislation and national NP regulatory approval processes have contributed to existing barriers to NP role implementation and full scope of practice. While regulation is mandatory and focused on public safety, an emphasis towards quality has led to the introduction of a national voluntary NP program accreditation process. The purpose of this paper is to initiate a discussion between Canadian NP regulators and educators related to proposed regulatory approaches and accreditation processes that balance public safety while promoting quality and excellence in NP education. Having two separate and costly processes has led to tension during a time of provincial fiscal restraint on university budgets coupled with the COVID-19 pandemic and its impact on nursing education. An integrated pan-Canadian approach of regulation and accreditation may ensure public safety, continuity, and consistency in quality NP education, enhance mobility of the NP workforce, and systematic planning to guide successful future NP role development and 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)0.005
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.068
GPT teacher head0.501
Teacher spread0.433 · 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 designTheoretical or conceptual
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

Citations4
Published2021
Admission routes1
Has abstractyes

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