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Record W2170903253 · doi:10.12927/cjnl.2013.21831

A Conceptual Framework for Advanced Practice Nursing in a Pediatric Tertiary Care Setting: The SickKids’ Experience

2010· article· en· W2170903253 on OpenAlexaffvenue
Karen LeGrow, Pam Hubley

Bibliographic record

VenueNursing leadership · 2010
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsNursingExcellenceHealth carePediatric nursingPsychologyBody of knowledgeMedicineKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

Advanced practice nurses (APNs) at The Hospital for Sick Children (SickKids) are pediatric healthcare providers who integrate principles and theories of advanced nursing with specialty knowledge to provide autonomous, independent, accountable, ethical and developmentally appropriate care in complex, often ambiguous and rapidly changing healthcare environments. Caring for children and adolescents requires culturally sensitive and family-centred approaches to care that incorporate a unique body of knowledge. Family-centred care is an approach to planning, delivery and evaluation of healthcare that is governed by the establishment of mutually beneficial partnerships among APNs, health professionals and children/families. The cornerstone of APN practice at SickKids is the recognition of "family" as the recipients of care. By valuing and developing relationships with families, APNs promote excellence in healthcare across the care continuum to optimize the child's and family's physical, emotional, social, psychological and spiritual well-being. This paper outlines the evolution of advanced practice nursing at SickKids, beginning with the introduction of APN roles in the 1970s and culminating in the current critical mass of APNs who have been integrated throughout the hospital's infrastructure. We describe the process used to create a common vision and a framework to guide pediatric advanced nursing 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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.143
GPT teacher head0.449
Teacher spread0.306 · 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

Citations6
Published2010
Admission routes2
Has abstractyes

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