A Framework for the Dissemination and Utilization of Research for Health‐Care Policy and Practice
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
PURPOSE: The purpose of this paper is to construct a comprehensive framework of research dissemination and utilization that is useful for both health policy and clinical decision-making. ORGANIZING CONSTRUCT: The framework illustrates that the process of the adoption of research evidence into health-care decision-making is influenced by a variety of characteristics related to the individual, organization, environment and innovation. The framework also demonstrates the complex inter-relationships among these characteristics as progression through the five stages of innovation namely, knowledge, persuasion, decision, implementation and confirmation occurs. Finally, the framework integrates the concepts of research dissemination, evidence-based decision-making and research utilization within the diffusion of innovations theory. METHODS: During the discussion of each stage of the innovation adoption process, relevant literature from the management field (i.e., diffusion of innovations, organizational management and decision-making) and health-care sector (i.e., research dissemination and utilization and evidence-based practice) is summarized. Studies providing empirical data contributing to the development of the framework were assessed for methodological quality. CONCLUSIONS: The process of research dissemination and utilization is complex and determined by numerous intervening variables related to the innovation (research evidence), organization, environment and individual.
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 | 0.010 | 0.124 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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