Fostering implementation of knowledge into health practice: study protocol for the validation and redevelopment of the Knowledge Uptake and Utilization Tool
Bibliographic record
Abstract
BACKGROUND: Measurement of what knowledge is taken-up and how that information is used to inform practice and policies can provide an understanding about the effectiveness of knowledge uptake and utilization processes. In 2007, the Knowledge Uptake and Utilization Tool (KUUT) was developed to evaluate the implementation of knowledge into practice. The KUUT has been used by numerous large health organizations despite limited validity evidence and a narrow understanding about how the tool is used in practice and interpreted by users. As such, the overall purpose of this protocol is to redevelop the KUUT and gather validity evidence to examine and support its use in various health-related organizations. This protocol paper outlines a validation and redevelopment procedure for the KUUT using the unitary view of validity. METHODS: The protocol outlined in this article proceeds through four phases, starting with redeveloping the tool, then evaluating validity evidence based on: test content, response processes and internal structure. The initial phase gathers information to redevelop the tool, and evaluates item content and response format. The second phase evaluates response process validity evidence by examining how a variety of users interact with the tool. In the third phase, the tool will be pilot tested with knowledge users and, in the final phase, psychometric properties of the tool will be examined and a final scoring structure will be determined. A knowledge translation plan described herein outlines where the final tool will be housed and how the information about the tool will be disseminated. DISCUSSION: This protocol outlines a procedure to gather different sources of validity evidence for the KUUT. By addressing limitations in the original KUUT, such as complexities with scoring, a redeveloped KUUT supporting validity evidence will enhance the ability of health-related organizations to effectively use this tool for its intended purpose.
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.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Methods · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.035 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".