Supporting Evidence-Informed Health Policy Making: The Development and Contents of an Online Repository of Policy-Relevant Documents Addressing Healthcare Renewal in Canada
Bibliographic record
Abstract
OBJECTIVES: (1) To develop an online repository of policy-relevant documents, other than and complementary to those from the peer-reviewed scientific literature, addressing healthcare renewal in Canada; and (2) to describe the distribution of document contents. METHODS: An iterative scoping review approach was undertaken. Documents were identified through website hand-searches and referrals from 19 Canadian health organizations. Descriptive frequencies were calculated, such as for document type. FINDINGS: In July 2014, 1," documents were in the Evidence-Informed Healthcare Renewal Portal. The top three types of documents were situation analyses (n = 390, 38%), health and health system data (n = 191, 18%) and jurisdictional reviews (n = 115, 11%). The top three national priority areas addressed were health human resources (n = 778, 75%), quality as a performance indicator (n = 502, 49%) and information technology (n = 385, 37%). CONCLUSION: The process of developing a systematic method for identifying these documents has yielded a new resource to support evidence-informed health policy making and has identified a large volume of policy-relevant documents addressing healthcare renewal priority areas in Canada.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".