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Record W2155772430 · doi:10.12927/cjnl.2013.23303

Nurse Practitioners and Controlled Substances Prescriptive Authority: Improving Access to Care

2013· article· en· W2155772430 on OpenAlexaffvenueabout
Michelle A Ambrose, Denise S. Tarlier

Bibliographic record

VenueNursing leadership · 2013
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsThompson Rivers UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsNursingFlexibility (engineering)AutonomyHealth carePublic relationsNurse practitionersBusinessDelegationMedicinePolitical scienceManagementLaw

Abstract

fetched live from OpenAlex

In 2007, Health Canada proposed a new framework to regulate prescriptive authority for controlled substances, titled New Classes of Practitioners Regulations (NCPR). The new regulatory framework was passed in November 2012; it gives nurse practitioners (NPs), midwives and podiatrists the authority to prescribe controlled medications under the Controlled Drugs and Substances Act. It is expected that authorizing NPs to write prescriptions for certain controlled substances commonly used in primary care will enhance flexibility and timeliness in primary care service delivery. Studies from the United States have shown positive outcomes in primary care access, decreased healthcare costs and the evolution and advancement of the NP role when prescriptive authority was expanded to include controlled substances. The purpose of this paper is to examine how NPs' prescriptive authority for controlled substances affects access to primary care and NP role development. Three key issues identified from the experience of one group of NPs in the United States (access to care, professional autonomy and prescriber knowledge) offer insight into the practice changes that may be anticipated for NPs in Canada now that they have acquired prescriptive authority for controlled substances. Recommendations are offered to assist nurse leaders and educators to best support NPs as they take on this new and important role responsibility.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.206
GPT teacher head0.433
Teacher spread0.227 · 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 designQualitative
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

Citations5
Published2013
Admission routes3
Has abstractyes

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