The British Columbia Patient Navigation Model: A Critical Analysis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.176 | 0.288 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".