Enhancing nurses’ involvement in policy making: A qualitative study of nurse leaders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Nurses can play a valuable role in not only the implementation but development of general and health policies. However, evidence indicates limited involvement of nurses in politics and general health policy making owing to individual, interpersonal, and systematic barriers. INTRODUCTION: Strategies are required to increase nurses' participation and engagement in policymaking. However, no studies explored the perspective of nurse leaders in policy making roles and how to improve nurses' involvement in policy making. PURPOSE: To explore strategies to enhance nurses' involvement in policy making from the perspective of nurse leaders. METHODS: A qualitative descriptive study was conducted. Semistructured interviews were conducted with a purposive sample of 11 nurse leaders with at least one year of experience in policy making. Data were analyzed using a thematic analysis approach. The COREQ guidelines were followed for reporting. FINDINGS: Five themes were generated: strategically revisit and implement educational approaches, becoming transformative leaders, improving social image of nurses, developing triadic partnerships, and empowering nurses through reflective and supportive mechanisms. DISCUSSION: Nurses' involvement in policymaking can be enhanced by implementing grassroots-level educational strategies, managerial-level empowerment efforts, and social mechanisms focused on improving the social image of nursing. CONCLUSIONS: Self and professional role empowerment through education, increasing awareness, and improving the social image of nursing can boost nurses' involvement in policymaking. IMPLICATIONS FOR NURSING POLICY: Nurse leaders, national and global nursing associations, and nursing regulatory bodies should collaborate with associations of nursing colleges to design nurse policymaking competencies framework and contextually tailored strategies to enhance nurses' engagement in policymaking.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it