A conceptual framework for effective dissemination and implementation of a policy on school health in rural Nigeria
Bibliographic record
Abstract
BACKGROUND: There is a marked inequality between children in public schools and their counterparts in private schools in terms of school healthcare in rural Nigeria. This is because of the ineffective dissemination and implementation of a policy on school health in public schools. Effective dissemination and implementation of such policy can reduce the prevalence of risky health behaviours amongst young people and have a positive effect on academic performance. OBJECTIVES: The purpose of this study was to develop a conceptual framework for the effective dissemination and implementation of a policy on school health in rural Nigeria. METHODS: This study consisted of four phases as follows: an empirical phase, concept classification, framework development and critical reflection on the conceptual framework. An exploratory, descriptive and contextual research design was used to develop the framework. The work of Dickoff et al. was used to classify concepts from the empirical phase. Chinn and Kramer's nursing theory on generative method was used for the development of the conceptual framework and for critical review. RESULTS: The framework consisted of six components, namely, departments of health and education (context); health or educational professionals in the ministries (agents); health or educational practitioners, pupils, parents and communities (recipients); ratification of a policy on school health, stakeholder engagement, training as well as monitoring and evaluation (process); communication, collaborative partnership, commitment and support (dynamics); and effective dissemination and implementation of a policy on school health. CONCLUSION: The framework would be a firm foundation and contribution to improve the health of children in public schools, and well-being and academic performance that would be a good feat towards the future endeavour. The findings of the study are pertinent to school health nursing practice, education and research.
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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 | 0.046 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.009 | 0.029 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.006 |
| 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".