Redefining the school nurse role: an organizational perspective
Bibliographic record
Abstract
PURPOSE: This paper aims to identify organizational readiness for change towards adoption of a redefined role of the school nurse as a strategic option in the context of a health promoting school approach. This new role is consistent with planned change directed at life habits and life conditions. DESIGN/METHODOLOGY/APPROACH: A questionnaire based on a modified version of the organizational readiness for change (ORC) framework was e-mailed to 122 top and middle managers (response rate of 74 percent) in 42 local health organizations in the Province of Quebec, Canada, during the fall of 2009. FINDINGS: In total, 90 percent of participants perceived the proposed role as a solution to fulfil their school health program needs, especially to plan and integrate health promotion projects. The lack of resources and nursing support emerged as factors hampering the capacity of school nurses to play such a role. RESEARCH LIMITATIONS/IMPLICATIONS: Additional implications of the ORC framework are needed in order to better address organizational readiness for complex changes in specific health-related settings. PRACTICAL IMPLICATIONS: Access to information technology and the development of computer skills would help enhance this encompassing role in health promotion. ORIGINALITY/VALUE: Findings have the potential to better inform health authorities regarding the new role of the school nurse as a strategic option in health promotion. This study also provides an application of the theoretical framework showing the need for additional empirical tests.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".