Public Opinion Leadership in Nursing Practice: A Rogerian Concept Analysis
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
In the Dutch nursing context, work remains in strengthening the voice of nurses serving as frontline health care providers and board members alike. Conceptual clarity of Public Opinion Leadership (POL) in nursing practice is needed to provide attributes, antecedents and consequences for nurses and nurse leaders so they can contribute in the public debate and policy making processes. Using Rodgers' method of evolutionary concept analysis and the key words "POL," "lobbying" and "public affairs," we searched PubMed (including MEDLINE), CINAHL, PsycINFO and Cochrane Library for articles written in English, published between January 1999 and May 2020, which resulted in a final selection of seven studies. In addition, transcripts of an expert panel discussion regarding POL were analyzed. Attributes of POL are credibility, accessibility, altruism, dynamic networking and sense of systemness. Antecedents are a clinical background, authentic authority, policy and political awareness and strategic skills. The main consequences of POL entail influencing those who are involved in policy making processes, a new generation of public opinion leaders, and the raising of bottom-up political leaders. POL is a relatively new concept for nursing, with increasing interest given the need to ensure quality of care by increasing the use of evidence in clinical practice. POL in nursing practice is defined as the action of influencing public debate regarding policy making processes by maintaining dynamic (social) networks, having a high sense of systemness, and being (clinically) credible, altruistic and accessible to peers and a wide variety of stakeholders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.037 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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