Misoprostol for the prevention of post-partum haemorrhage in Mozambique: an analysis of the interface between human rights, maternal health and development
Bibliographic record
Abstract
BACKGROUND: Mozambique has high maternal mortality which is compounded by limited human resources for health, weak access to health services, and poor development indicators. In 2011, the Mozambique Ministry of Health (MoH) approved the distribution of misoprostol for the prevention of post-partum haemorrhage (PPH) at home births where oxytocin is not available. Misoprostol can be administered by a traditional birth attendant or self-administered. The objective of this paper is to examine, through applying a human rights lens, the broader contextual, policy and institutional issues that have influenced and impacted the early implementation of misoprostol for the prevention of PPH. We explore the utility of rights-based framework to inform this particular program, with implications for sexual and reproductive health programs more broadly. METHODS: A human rights, health and development framework was used to analyse the early expansion phase of the scale-up of Mozambique's misoprostol program in two provinces. A policy document review was undertaken to contextualize the human rights, health and development setting in Mozambique. Qualitative primary data from a program evaluation of misoprostol for the prevention of PPH was then analysed using a human rights lens; these results are presented alongside three examples where rights are constrained. RESULTS: Structural and institutional challenges exacerbated gaps in the misoprostol program, and sexual and reproductive health more generally. While enshrined in the constitution and within health policy documents, human rights were not fully met and many individuals in the study were unaware of their rights. Lack of information about the purpose of misoprostol and how to access the medication contributed to power imbalances between the state, health care workers and beneficiaries. The accessibility of misoprostol was further limited due to dynamics of power and control. CONCLUSIONS: Applying a rights-based approach to the Mozambican misoprostol program is helpful in contextualising and informing the practical changes needed to improve access to misoprostol as an essential medicine, and in turn, preventing PPH. This study adds to the evidence of the interconnection between human rights, health and development and the importance of integrating the concepts to ensure women's rights are prioritized within health service delivery.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".