Development of the role of public health nurses in addressing child and family poverty: a framework for action
Bibliographic record
Abstract
AIM: The purpose of this paper is to invite dialogue about how public health nurses could best address child and family poverty. Their current role is reviewed and a framework for expanding this role is presented. BACKGROUND: The negative health consequences of poverty for children are well-documented worldwide. The high levels of children living in poverty in wealthy industrialized countries such as Canada should be of concern to the health sector. What role(s) can public health nurses play in addressing child and family poverty? METHOD: A review of scholarly literature from Canada, the United States of America and the United Kingdom was conducted to ascertain support for public health nurses' roles in reducing poverty and its effects. We then reviewed professional standards and competencies for nursing practice in Canada. The data were collected between 2005 and 2006. FINDINGS: Numerous nursing scholars have called for public health nurses to address the causes and consequences of poverty through policy advocacy. However, this role was less likely to be identified in professional standards and competencies, and we found little empirical evidence documenting Canadian public health nurses' efforts to engage in this role. Public health nurses' roles in relation to poverty focus primarily on assisting families living in poverty to access appropriate services rather than directing efforts at the policy level. Factors associated with this limited involvement are identified. We suggest that the conceptual framework developed by Blackburn in the United Kingdom offers direction for a more fully developed public health nursing role. Prerequisites to engaging in the strategies articulated in the framework are discussed. CONCLUSION: Given more organizational support and enhanced knowledge and skills, public health nurses could be playing a greater role in working with others to make child and family poverty history.
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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 | 0.076 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.047 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.008 | 0.025 |
| Research integrity | 0.022 | 0.023 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".