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The Emerging Role of Advanced Nursing Practice in Acute Pain Management Throughout Canada

2002· article· en· W2063610879 on OpenAlexaffabout
Shirley L. Musclow, Monakshi Sawhney, Judy Watt‐Watson

Bibliographic record

VenueClinical Nurse Specialist · 2002
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsSpecialtyNursingAcute carePain managementMedicineMEDLINEAffect (linguistics)Quality (philosophy)Nursing managementHealth careAcute painPsychologyFamily medicinePhysical therapyPolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to describe the role qualifications and responsibilities related to advanced nursing practice in acute pain management across Canada. The Canadian Nurses Association national framework on advanced nursing practice was used as a guide to identify role components for nurses within this specialty. A self-administered questionnaire of fixed choice and open-ended questions was mailed to nurses in acute pain management throughout Canada. Respondents identified their primary role responsibilities as clinical, educational, and administrative. Role challenges included lack of administrative/colleague support, complexity of pain problems, role definition, and acceptance. Key areas of positive outcomes involved the patient as well as interdisciplinary and nursing teams. Nurses described the ability to provide continuity of care, patient and staff education, and leadership in pain management as important and rewarding. The role of advanced nursing practice in acute pain management throughout Canada is evolving. The affect of this role promises to enhance the quality of pain management for healthcare professionals and their patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.846
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.018
GPT teacher head0.365
Teacher spread0.347 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2002
Admission routes2
Has abstractyes

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