Construire une vision commune de la formation des infirmières et sages-femmes en République Démocratique du Congo
Bibliographic record
Abstract
OBJECTIVE: To present the activities that facilitate the development of a public policy by public health and higher and university education ministry stakeholders - based on a common vision of nurses and midwives training in Democratic Republic of the Congo (DRC). METHODS: An operational research using different methods applied by experts called ?policy brokers? according to a framework covering the advocacy mechanisms (Advocacy Coalition Framework) designed to promote the development of a public policy. The population comprised 2 types of common interest groups (coalitions), derived from 3 systems (sociocultural-legal, educational, professional), involved in the choice of the ?secondary AND higher? or ?secondary OR higher? training profile for the concerned professionals. The methods comprised: workshops (discussion, training, restitution, validation, negotiation, scientific, reflection group meetings), training activities (programme development, training of nursing and midwives trainers-supervisors) and a variety of media coverage and marketing activities. RESULTS: The nurses and midwives profiles required in the DRC have been established. The levels required for their training have been validated and defined by a common vision of the two ministries concerned. A formal consultation framework was set up to launch the required reform for the review of these two professional's profiles. CONCLUSION: The public policy experts' activities based on the advocacy framework are complex, lengthy and time-consuming. In DRC, a Ministerial decree is currently being finalized to address the creation of a formal consultation framework concerning the training and utilisation of human health resources.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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; 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".