Nurses’ Engagement in Healthcare Policy Development: An Umbrella Review
Bibliographic record
Abstract
BACKGROUND AND INTRODUCTION: Healthcare policy establishes guidelines for delivering safe and effective healthcare, achieving and improving health-related outcomes, and mitigating public health risks. Nurses are uniquely positioned to lead healthcare policy development; however, evidence of nurses' engagement in policymaking is limited. This umbrella review aims to examine and summarize nurses' involvement in healthcare policy development aimed at transforming health. METHODS: Following the Joanna Briggs Institute umbrella review methodology, a systematic search was conducted across seven databases for peer-reviewed literature. Quality and risk of bias were assessed using the ROBIS tool. Data were analyzed using qualitative content analysis and meta-synthesis. This review is registered in PROSPERO (ID: CRD42023458475). RESULTS: The search yielded 591 records, which were evaluated using PRISMA guidelines. Articles (N = 7) were included if they were written in English, Japanese, or Arabic, reported a literature review study, and participants were registered or licensed nurses. Four master themes were identified: (1) diminished support and preconceived expectations of nurses' roles in policy development contributed to individual, organizational, and system-level barriers; (2) hierarchical marginalization of nurses' voices, interprofessional and gender dynamics, and limited leadership roles of nurses impact meaningful participation; (3) nurses' internal perceptions, knowledge, and beliefs regarding power, role expectations, and interest, limit involvement in policy development; and (4) the development of skills and understanding of policy through education, training, modeling, and mentorship is foundational for informed and authentic engagement. CONCLUSIONS: None of the included reviews identified nurses' engagement in healthcare policy development. Lack of engagement was due to multilevel barriers, hierarchical marginalization, and limited skills. IMPLICATIONS FOR NURSING AND HEALTHCARE POLICY: Nurses are the voice of patient, family, and community health and well-being. This responsibility requires our engagement in healthcare policy development at all levels. Including nurses in healthcare policy development is crucial in creating healthcare that is fit for purpose and in the sustainability of the nursing workforce.
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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 | 0.035 | 0.091 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.031 | 0.023 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.006 | 0.004 |
| 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".