An impact review of a Western Australian research translation program
Bibliographic record
Abstract
The translation gap between knowledge production and implementation into clinical practice and policy is an ongoing challenge facing researchers, funders, clinicians and policy makers globally. Research generated close to practice and in collaboration with end users is an approach that is recognised as an effective strategy to facilitate an improvement in the relevance and use of health research as well as building research capacity amongst end users. The Research Translation Projects (RTP) program funded by the Western Australian (WA) Department of Health facilitates clinical and academic collaboration through competitive funding of short-term research projects. Its aim is to improve healthcare practice while also finding efficiencies that can be delivered to the WA health system. A mixed methods approach was adopted to evaluate the research impact of the RTP program, at completion of the two-year funding period, across a range of impact domains through the adaptation and application of the Canadian Academy of Health Sciences' (CAHS) framework for research impact. In addition, further analysis was undertaken to address specific objectives of the RTP program more closely, in particular research capacity building and collaboration and health system Inefficiencies targeted by the program. Social network analysis was applied to assess the extent and growth of collaboration across WA health organisations over time. Results indicated that the 'bottom up' approach to research translation has triggered modest, yet positive outcomes across impact domains including advancing knowledge, collaboration and capacity building as well as contributing to changes in policy and practice. Additionally, the projects identified opportunities by which inefficiencies in the health system can be addressed. Further work is required to better understand the pathways by which short-term outcomes can be translated into more long-term impacts and the mechanisms that trigger this process.
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
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 | 0.242 | 0.326 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.026 | 0.035 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".