Adaptation of a Best Practice Guideline to Strengthen Client‐Centered Care in Public Health
Bibliographic record
Abstract
Best practice guidelines (BPGs) were developed by the Registered Nurses Association of Ontario (RNAO) to support evidence-based nursing practice. One Ontario public health unit chose to implement the BPG on client-centered care (CCC). A critical review of this BPG revealed issues that would hinder successful implementation within a public health setting. These included a focus on the client as an individual, the predominance of acute care exemplars and training resources that were not representative of public health nursing practice, and the need to reconcile the enforcement roles of public health with the BPG principles. The purpose of this article is to describe the process of adapting the CCC BPG to more accurately reflect the broad scope of public health nursing practice. A model for CCC in public health nursing context is presented and processes for implementing, evaluating, and sustaining CCC are described.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".