Position Statement on Cancer Chemotherapy Administration and Care
Bibliographic record
Abstract
This document presents CANO/ACIO’s position, based on best evidence, for the provision of care to persons receiving cancer chemotherapy. The statement includes CANO/ACIO’s position regarding the high risk nature of cancer chemotherapy, the minimum nursing education required, the meaning of competency, and the responsibilities of health-care systems to provide a supportive environment. CANO/ACIO acknowledges that cancer chemotherapy is administered in a variety of settings ranging from large tertiary oncology centers to patients ’ homes to other ambulatory out-patient settings. While each of these settings is unique, the evidence-based principles found in the CANO/ACIO Standards and Competencies for Cancer Chemotherapy Care (CANO/ACIO, 2010), apply. Other areas of practice, outside the scope of oncology, where cancer chemotherapy drugs are used will also benefit from these standards. Background CANO/ACIO's mission is to lead nursing excellence in cancer control for Canadians. The vision is to be the nursing leader in cancer control nationally and a vital influence internationally. Established in 1984, CANO/ACIO is a volunteer member-driven association that supports Canadian oncology nursing excellence in clinical practice, education, research, and leadership. One of the association's major priorities and accomplishments has been to identify standards of care for oncology patients. More recently, CANO/ACIO developed the National Strategy for Chemotherapy Administration (NSCA), a three-phased initiative that seeks to establish national chemotherapy administration and care standards, competencies and educational resources for oncology nurses across Canada The early phases of the NSCA included a national and international chemotherapy-nursing environmental
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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 | 0.023 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.024 | 0.025 |
| Insufficient payload (model declined to judge) | 0.036 | 0.029 |
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".