“I cannot say no when a pregnant woman needs my support to get to the health centre”: involvement of community health workers in Rwanda’s maternal health
Bibliographic record
Abstract
BACKGROUND: In Rwanda, maternal community health workers (M-CHWs) are involved in the country's overall health system. In maternal health, their role includes the provision of preventive and promotional health services at the community level. They provide services such as health education on maternal health wellbeing, advice and information on access and timely utilization of health facilities for prenatal, delivery and postpartum care. The contribution of M-CHWs in the health sector combined with other government initiatives led the country to achieving the fifth Millennium Development Goal (MDG) - target 5A- that aimed to improve maternal health through the reduction of maternal mortality ratio by 75% between 1990 and 2015). The objective of this study was to explore M-CHWs' perceptions and experiences on access and provision of maternal health services. METHODS: We used a case study methodology, a qualitative research approach to explore M-CHWs' experiences and perceptions on access and provision of maternal health services at the community level in Rwanda. For the period of June-August 2014, in-depth interviews were conducted with sixteen M-CHWs who had been providing maternal health services in the Eastern Province of Rwanda. Participants shared their experiences and perceptions on access and provision of maternal health service in their communities. RESULTS: The results of this research highlight the role of M-CHWs in promoting the use of health facilities for prenatal care and delivery and the ways they use to reach out to women. Several challenges prohibit M-CHWs to deliver adequate maternal health services and these are related to the poor resources settings in which they operate. CONCLUSION: The results of this study highlight the experiences and perceptions of M-CHWs on the provision and access to maternal health services in their communities. The fact that M-CHWs are volunteers operating in limited resources settings with no formal training in maternal health and with considerable workloads translates into challenges regarding the quality and quantity of services they provide in their communities. Such challenges create an impact on M-CHWs service provision, satisfaction and retention. The voices of M-CHWs and the communities they serve are needed to explore areas that are specific to each community context that would contribute to making the M-CHW program sustainable to achieve equitable access to maternal health services.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".