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A New Role for Advanced Practice Nurses in Canada: Bridging the Gap in Health Services for Rural Older Adults

2006· article· en· W27455470 on OpenAlexaffabout
Kathryn A. Smith Higuchi, Brad Hagen, Sharon Brown, Mark Pjil Zieber

Bibliographic record

VenueJournal of Gerontological Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNursingBridging (networking)Gerontological nursingMedicineRural areaPsychologyGerontology

Abstract

fetched live from OpenAlex

This article is a report on the evaluation of a new nursing initiative in rural western Canada-the gerontological advanced practice nurse (GAPN) project. Using a qualitative approach in the i initial evaluative phase, the authors determined how the GAPN evolved, functioning primarily in a clinical nurse specialist role, and identified the successes and challenges of the project. The initial findings indicated health benefits to rural older adults. The project's success was attributed to strong support from key players, and attempts to address perceived gaps in rural health service. Challenges in developing the GAPN role included limited planning time, and lack of a clear definition about the role and responsibilities of the GAPN. The introduction of a GAPN, especially in underserved rural communities, has the potential to provide essential health care services to older adults, and to make major contributions to changing gerontology 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.003
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.408
Teacher spread0.383 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations24
Published2006
Admission routes2
Has abstractyes

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