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Record W2043968729 · doi:10.1188/11.onf.200-206

The British Columbia Patient Navigation Model: A Critical Analysis

2011· article· en· W2043968729 on OpenAlexafffundabout
Allison E. Pedersen, Thomas F. Hack

Bibliographic record

VenueOncology nursing forum · 2011
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsMedicine

Abstract

fetched live from OpenAlex

PURPOSE/OBJECTIVES: To provide a critical analysis of a patient navigation model using the Synthesized Method of Theory Evaluation and the Criterion-Based Critique as frameworks for the analysis. DATA SOURCES: English-language research and clinical articles and Internet sources (CINAHL®, PubMed, and Google™ Scholar) on patient navigation up to April 2009. DATA SYNTHESIS: The British Columbia Patient Navigation Model (BCPNM) is a practical model developed from a psychosocial perspective. The BCPNM highlights the functions of the navigator for patients with cancer and is patient and family centered. CONCLUSIONS: The BCPNM provides a comprehensive framework for current patient navigation programs and can facilitate the development of future models. IMPLICATIONS FOR NURSING: The BCPNM is a useful model for nursing practice because it identifies and clearly highlights numerous functions that nurses provide. The model can serve as a guide for nurses who provide psychosocial interventions in a variety of oncology environments.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.065
GPT teacher head0.368
Teacher spread0.303 · 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 designOther design
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

Citations38
Published2011
Admission routes3
Has abstractyes

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