“Layers of translation” - evidence literacy in public health practice: a qualitative secondary analysis
Bibliographic record
Abstract
BACKGROUND: Strengthening public health systems has been a concern in Canada in the wake of public health emergencies. In one Canadian province, British Columbia, a high priority has been placed on the role of evidence to guide decision making; however, there are numerous challenges to using evidence in practice. The National Collaborating Centre for Methods and Tools therefore developed the Evidence Informed Public Health Framework (EIPH), a seven step guide to assist public health practitioners to use evidence in practice. We used this framework to examine the evidence literacy of public health practitioners in BC. METHODS: We conducted a secondary analysis of two separate qualitative studies on the public health renewal process in which the use and understanding of evidence were key interview questions. Using constant comparative analysis, we analyzed the evidence-related data, mapping it to the categories of the EIPH framework. RESULTS: Participants require both data and evidence for multiple purposes in their daily work; data may be more important to them than research evidence. They are keen to provide evidence-based programs in which research evidence is balanced with community knowledge and local data. Practitioners recognise appraisal as an important step in using evidence, but the type of evidence most often used in daily practice does not easily lend itself to established methods for appraising research evidence. In the synthesis stage of the EIPH process, synthesized evidence in the form of systematic reviews and practice guidelines is emphasized. Participants, however, need to synthesize across the multiple forms of evidence they use and see the need for more skill and resources to help them develop skill in this type of synthesis. CONCLUSIONS: Public health practitioners demonstrated a good level of evidence literacy, particularly at the collective level in the organization. The EIPH framework provides helpful guidance in how to use research evidence in practice, but it lacks support on appraising and synthesizing across the various types of evidence that practitioners consider essential in their practice. We can better support practitioners by appreciating the range of evidence they use and value and by creating tools that help them to do this.
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How this classification was reachedexpand
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 | 0.070 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedMachine predicted; both teacher heads 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".