ArticleF1000Research2026
Same Average, Different Odds: Maternal-health Lessons for India from Rwanda and Peru.
Article in F1000Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: India has reduced its maternal mortality ratio faster than the global average, reaching 93 per 100,000 live births in 2019-21 and 88 in 2021-23. The national figure hides a nearly nine-fold gap between the best and worst-performing states. Deaths that remain fall mainly on rural, tribal, and poor women, in whom the three classic delays in obtaining care overlap with poverty, distance, caste, and gender. Policy and implications: The most useful lessons for India come not from wealthy systems but from countries that started poorer and still moved faster on equity. Rwanda combined a village health-worker cadre, near-universal community-based insurance, performance-based financing, and maternal death audits, working on the cost barrier and the second and third delays at once. Peru marginalized Andean and Amazonian women through free insurance, maternal waiting homes, and culturally adapted childbirth, working on first and second delays. Peru also shows that progress can be reversed and that judging a program only by its targets can erode the care it is meant to deliver. Recommendations: India should hold leadership of the gap between states rather than the national average, take the cost of delivery and its complications off poor families, fund respectful and culturally appropriate care alongside facility expansion, pay for audited quality, and track women's experience of care, not coverage alone. Conclusions: India has shown that it can move its national numbers. The harder task is distributional: giving a woman in Assam or tribal Madhya Pradesh the odds of being a woman in Kerala. Rwanda and Peru suggested that this is within reach without a high-income budget, provided that the system is rebuilt around financial protection, a trusted community workforce, audited quality, and genuine respect for women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.