Les soins primaires face à la COVID-19 : une comparaison Belgique, France, Québec et Suisse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Facing COVID-19, most of health care system first responded with the confinement of the population and an increase of intensive care resources. Primary care was then mobilized variably and more or less coordinated. PURPOSE OF RESEARCH: Comparing the involvement of primary care in four francophone regions with similar primary care to draw lessons for reforms directions in light of the COVID experience. RESULTS: Mobilization of primary care actors was important, heterogeneous and linked to local context and previous dynamics at the territorial level or the practice level except in Quebec where primary care is governed by health authorities. The creation of COVID centers was systematic as "warm practices" in Quebec or left to the initiative of local stakeholders more or less supported by health authorities. Teleconsultation, largely dominated by the use of the telephone, was implemented everywhere, generally supported by flexible and adapted pricing. The performance of diagnostic tests such as vaccination by new professionals within a legal, financial and simple training framework is a major area for improvement. Information systems to assess local needs were insufficient everywhere. CONCLUSION: The definition of primary care governance methods and, in particular, the link between professionals and public health operators in the four areas studied is a priority area for improvement at both local and national levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 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 it