From Strategy to Implementation: Optimizing the Contribution of Health Services and Policy Research to Equitable Healthcare System Transformation
Bibliographic record
Abstract
The Canadian Institutes of Health Research -Institute of Health Services and Policy Research's (IHSPR) Strategic Plan 2021-2026 (CIHR IHSPR 2021) aims to accelerate healthcare system transformation to achieve the Quadruple Aim and health equity through research.This special issue features a collection of commentaries from academic and health system leaders who were invited to respond to IHSPR's strategic plan and share insights regarding the opportunities the plan presents and areas where more attention may be needed.The present paper features a response from the IHSPR team and outlines the next steps regarding implementation.IHSPR is deeply grateful to the commentary authors for their insight, advice and recommendations, which will help to inform the implementation of the plan. RÉSUMÉLe Plan stratégique 2021-2026 de l'Institut des services et des politiques de la santé des Instituts de recherche en santé du Canada (CIHR IHSPR 2021) vise à accélérer, par la recherche, la transformation du système de santé pour atteindre les quatre objectifs et l'équité en santé.Ce numéro spécial présente une série de commentaires de leaders universitaires et du système de santé qui ont été invités à réagir au Plan stratégique de l'ISPS et à partager leurs idées concernant les possibilités que présente le Plan ainsi que les domaines où une plus grande attention est nécessaire.Cet article est une réponse de l'équipe de l'ISPS et décrit les prochaines étapes qui concernent la mise en œuvre du Plan.L'ISPS est profondément reconnaissant aux auteurs des commentaires pour leur perspicacité, leurs conseils et leurs recommandations, qui contribueront à éclairer la mise en œuvre du Plan.
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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 | 0.336 | 0.444 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.022 | 0.082 |
| Scholarly communication | 0.081 | 0.061 |
| Open science | 0.007 | 0.039 |
| Research integrity | 0.034 | 0.046 |
| Insufficient payload (model declined to judge) | 0.011 | 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".