Use of Modified Delphi to Plan Knowledge Translation for Decision Makers: An Application in the Field of Advanced Practice Nursing
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
Disseminating research to decision makers is difficult. Interaction between researchers and decision makers can identify key messages and processes for dissemination. To gain agreement on the key findings from a synthesis on the integration of advanced practice nurses, we used a modified Delphi process. Nursing decision makers contributed ideas via e-mail, discussed and clarified ideas face to face, and then prioritized statements. Sixteen (89%) participated and 14 (77%) completed the final phase. Priority key messages were around access to care and outcomes. The majority identified "NPs increase access to care" and "NPs and CNSs improve patient and system outcomes" as priority messaging statements. Participants agreed policy makers and the public were target audiences for messages. Consulting with policy makers provided the necessary context to develop tailored policy messages and is a helpful approach for research dissemination.
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 | 0.004 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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