Collaboration between health system decision makers and professional researchers to coproduce knowledge, a scoping review
Bibliographic record
Abstract
BACKGROUND: Recent literature uses different terms and approaches to the collaboration between researchers and health system decision-makers in the research process. In 2012, the World Health Organisation proposed to "Embed research within decision-making processes". Yet, important contributions use other terms and perspectives for the same issue. This scoping review aimed to identify these terms, approaches, their application and eventual influence on the utilization of evidence. METHODS: We searched papers published between January 2000 and February 2019 in English, Spanish, French and Portuguese in the databases of PubMed, Scielo, Google Scholar and EBSCOhost, thus accessing MedicLatina, MEDLINE Complete and eBook Collection. Our main inclusion criterion was the participation of health personnel in non-clinical research activities. We considered three domains for in depth analysis: Definition, name and description of the participation of decision makers and health staff; Forms of collaboration and actual/effective participation of health staff in research; Eventual influence on the utilization of research results. RESULTS: We identified 607 articles and selected 74 for full text analysis. Nineteen different terms are currently used in twelve countries to describe the participation of health decision-makers and staff in research activities. Most publications refer to Integrated Knowledge Translation or Embedded Research, and were published in Canada and the United Kingdom. Forty-five papers discuss the participation of health staff in research activities; 20 leading the whole process and 21 as collaborators. CONCLUSIONS: The identification of the different terms and approaches to the close collaboration of health staff and decision-makers with professional researchers is essential to promote its effective application and influence on the utilization of evidence. Yet, it is also necessary to insist in their co-participation throughout the whole investigation process as a relevant way to improve research results uptake, strengthen health systems and advance towards universal health coverage.
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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 | 0.169 | 0.315 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.061 | 0.046 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.019 | 0.023 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".