Community-based health agents practices in Burkina Faso
Bibliographic record
Abstract
Abstract Background It is estimated that around 25% of the world's infant mortality is in West Africa where undernutrition accounts for more than 50% of the underlying causes of under-5 mortality. Malnutrition rates have decreased slightly, especially compared to the targets set for 2025. Since Alma-Ata's declaration in 1978, community participation in primary health care has been one way of reducing health inequalities. WHO recommended the integration of community health workers (CHW) into the health system and their inclusion in the human resources planning strategy. We observed a decline of programs involving CHW in the 1990s, then a definite revaluation since the 1990s and specifically, since 2012. They provide health education, as well as referral for a range of services, and provide support and assistance to communities and families through preventive health, easier access to curative health services as well as social services. The specific objectives of this project include: to describe the roles and functions of CHW in Burkina Faso, to identify the workers' needs, to explore the changes in the system and to identify the conditions related to their deployment. Methods A qualitative case study allowed to describe the processes and also facilitated the discovery of key elements related to the experiences of community agents, considering the elements of complexity and context. Results Our results include activities in promotional services, preventive services, curative services and health data management. In addition, we will shed light on their feelings and experiences related to integration into the system, on the strategies they use, on the advantages that bring their role as community workers, their concerns and finally, we will share their perception of their impact. Some recommendations are proposed in regards to training and supervision. Key messages CHW are major players in health systems by creating a bridge between health and social service providers and communities with reduced access. CHW contributes to social justice by facilitating access, promoting recognition and creating empowering processes through increased participation.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".