The Knowledge Broker Mentoring Program: Developing capacity for evidence-informed decision making
Bibliographic record
Abstract
Abstract Background Evidence-informed decision making (EIDM) is important to ensure that practice is evidence-informed and resources are used efficiently and effectively. However, public health professionals can face barriers to EIDM. Knowledge Brokers can support and champion EIDM within an organization. The National Collaborating Centre for Methods and Tools (NCCMT) developed a Knowledge Broker (KB) Mentoring program, a hands-on mentorship program to develop capacity for evidence-informed decision making. Objectives The objectives of the KB Mentoring program are to build individual and organizational capacity for evidence-informed decision making. The program takes place over 20 months and includes an organizational assessment, nine face-to-face workshop days, monthly webinars, completion of a rapid review, and a period post-program to connect with mentors. Participating cohorts are evaluated qualitatively. Results To date, two cohorts of five organizations each have completed the program (n = 56 participants). At the individual level, participants reported increased: confidence; EIDM knowledge and skills; and interpersonal connections. At the organizational level, the groups reported conducting rapid reviews, critically appraising evidence, and using evidence in program planning decisions. Additionally, organizations have put in place ongoing supports to build EIDM capacity. Participants noted that they would like more support both before and after the program. This recommendation was put in place for the third cohort, currently in progress. Conclusions Participants indicated the KB mentoring program was high quality and increased EIDM capacity and behaviour in their organizations. This innovative program is important across settings and countries as public health continues to face changes to public health practice. In order to scale up the program to diverse geographic settings, an online KB mentoring program is currently in development. Key messages Knowledge Broker mentoring supports public health practitioners to use evidence in practice. Knowledge broker mentoring raises the confidence, knowledge, skills, and connections of participants.
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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 | 0.041 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".