ArticleGlobal health, science and practice2022
Context Matters: Strategies to Improve Maternal and Newborn Health Services in Sub-Saharan Africa.
Article in Global health, science and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Regional inequalities and temporal trends in maternal disorders across sub-Saharan Africa, 1990-2023: a systematic analysis of the global burden of disease 2023 data.Archives of public health = Archives belges de sante publique · 2026Article
- Does bribery increase maternal mortality? Evidence from 135 Sub-Saharan African regions.PLOS global public health · 2023Article
- Incidence, Mortality, and Premature Mortality From Neonatal Disorders in Eastern Sub-Saharan Africa, From 1990 to 2023.Sage open pediatricsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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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.