Evaluation of regional project to strengthen national health research systems in four countries in West Africa: lessons learned
Bibliographic record
Abstract
BACKGROUND: Since the Commission on Health Research for Development (COHRED) published its flagship report, more attention has been focused on strengthening national health research systems (NHRS). This paper evaluates the contribution of a regional project that used a participatory approach to strengthen NHRS in four post-conflict West African countries - Guinea-Bissau, Liberia, Sierra Leone and Mali. METHODS: The data from the situation analysis conducted at the start of the project was compared to data from the project's final evaluation, using a hybrid conceptual framework built around four key areas identified through the analysis of existing frameworks. The four areas are governance and management, capacities, funding, and dissemination/use of research findings. RESULTS: The project helped improve the countries' governance and management mechanisms without strengthening the entire NHRS. In the four countries, at least one policy, plan or research agenda was developed. One country put in place a national health research ethics committee, while all four countries could adopt a research information management system. The participatory approach and support from the West African Health Organisation and COHRED were all determining factors. CONCLUSION: The lessons learned from this project show that the fragile context of these countries requires long-term engagement and that support from a regional institution is needed to address existing challenges and successfully strengthen the entire NHRS.
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.
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 | 0.131 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; 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".